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ADVANCED TECHNOLOGY
PROGRAM CASE STUDY:
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PROGRAM AREA | STAMPING (Die) |
TOOLING | ASSEMBLY
(BIW: Body in White) |
DIMENSIONAL MEASUREMENT TECHNOLOGY | Task
3: Measurement, Modeling, and Real-Time Numerically Controlled (NC)
Path Generation for Free Form Surfaces
Participants: f M |
Task
2: Visibility Analysis and Sequencing Simulation for Tooling Certification
Participants: d h M |
Task
1: Computer Aided Design and Automated Setup for In-line Optical Coordinate
Measuring Machines (OCMM)
Participants: g M |
PROCESS
CONTROL
METHODOLOGY |
Task
4: On-site Measurement and Process Monitoring for Stamping
Participants: C M |
Task
5: Information Feedback for Tooling and Process Design
Participants: c1 h C M |
Task
6: Process Navigators for Automobile Body Assembly
Participants: c M |
BODY ASSEMBLY TECHNOLOGY | Task
8: Optimal Non-Rigid Sheet Metal Part Holding
Participants: a M Task 9: Robust Design of Work-Holding Fixtures Participants: a1 e M |
Task
7: Variability Characterization and Tolerance Budget Analysis for
Body Manufacturing
Participants: C2 G M Task 10: Optimization in Multiple Panel Fitting |
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TECHNOLOGY TRANSFER | Task
11: Technology Transfer
Participants: a C G W |
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KEY TO PARTICIPANTS | |||
Auto Body Consortium:
a -APX International b -ASC Incorporated c -Classic Design, Inc. d -Detroit Center Tool (DCT) e -ISI Automation Products Group f -Modern Engineering g -Perceptron h -Progressive Tool & Industries, Inc. (PICO) |
Auto Makers:
C -Chrysler Motors Corporation G -General Motors Corporation Universities: M -University of Michigan W -Wayne State University |
2.1.1 Program Area 1: Dimensional Measurement Technology
There were three tasks in this program area.
Task 1: Computer-aided design (CAD) and automated setup for in-line optical coordinate measurement machines (OCMM).
The goal of this task was to eliminate the need for scribed prototype bodies to initially calibrate OCMMs. OCMMs are advanced non-contact measuring devices that accurately measure the size of features and openings on the BIW. The detailed data produced by the OCMMs are used to determine and document the dimensional variation of bodies in real time during assembly. When used, OCMMs are installed in the assembly line and calibrated for first use with a prototype automobile body that has been scribed with lines indicating where OCMM sensors should be positioned. This process requires the production of a full-scale body for use in the calibration. The research performed for this task involved developing an automated system that uses computer-aided design (CAD) files to select the positions for OCMM sensors, and then to calibrate the sensors. The results of this task reduce the time and effort required to set up the OCMMs for assembly line work, while maintaining or improving the accuracy of the measurement process. The use of the automated system reduces the time required to set up the OCMMs by an estimated 10 to 35 days. The OCMMS are set up on the automobile assembly line each time a new model is introduced, or design changes are made to an existing model.
Task 2: Visibility analysis and sequencing simulation for tooling certification.
Parts and subassemblies of the BIW are positioned and clamped during welding, cutting, and other assembly processes. The accurate positioning of parts is essential for dimensional variation to be reduced. Numerically controlled (NC) blocks and clamps are used to position and secure parts during assembly. The locations of the NC block and clamp fixtures are designated by the automobile manufacturer in their specifications for the assembly line equipment. A time-consuming measurement process occurs when the assembly line tooling is certified (e.g., checked to determine that it is accurately positioned). The research conducted for this task identified the optimal measurement sensors to certify NC blocks and clamps, and developed algorithms for efficiently locating the measurement devices during certification.
There are approximately 3,000 NC blocks used in an automobile body assembly line, and each block requires approximately one hour to certify. The results of this task were expected to reduce certification time by 30 percent while increasing positioning accuracy by 20 percent. Tool certification occurs many times during the life of the assembly line equipment: when the tooling is manufactured by the assembly line producer, when the automobile manufacturer certifies that the tooling meets specifications, when the tooling is installed at the assembly plant, and periodically to determine that the tooling is maintained at design specifications.
Task 3: Measurement, modeling, and real-time numerically controlled (NC) path generation for free-form surfaces.
Panels and sheet metal parts are formed using dies with complex surfaces that must be produced with tight tolerances. The measurement devices currently used to certify that the die surfaces meet tolerance requirements have limited accuracy, and take a considerable amount of time to execute the complete measurement of a die. In addition, the fabrication of complex dies requires an enormous amount of data to describe the die surface in the format required to guide the NC machine that produces the die. This research task developed a laser line scanning system that will accurately and quickly scan and certify die surfaces. Also, this task developed computer algorithms and methods to represent the paths that NC tools must follow to accurately and quickly sculpt die surfaces. It is expected that the results of this research task will reduce the 15 to 25 hour measurement time for certifying dies by a factor of ten.
2.1.2 Program Area 2: Process Control Technology
There were three tasks in this program area.
Task 4: On-site measurement and process monitoring for stamping.
The production of sheet metal parts with accurately dimensioned features is difficult to achieve due to the flexibility of sheet metal. Many factors affect the dimensional variation of stamped sheet metal parts, including the material properties of the batch of sheet metal being stamped (e.g., Young's modulus), the handling of the sheet metal as it is transferred to the stamping press, the type of clamp used to hold the part and the positioning of the clamp fixtures, and the amount of pressure used to stamp the part. Subtle variations in these factors can cause large dimensional variation in the part, and subsequently in the BIW. Developing an understanding of the contribution of these factors, and others, to the dimensional variation of stamped parts is the objective of this research task.
The results of this task involve the creation of a knowledge base of causes associated with dimensional variation in fabricated parts during the stamping process.
Task 5: Information feedback for tooling and process design.
In some instances at some assembly plants, the lack of communication between assembly line operators and the designers of assembly line equipment has hindered the assembly line producers from collecting data from the laboratory of the assembly plant to make changes in their tooling that will diminish dimensional variations that occur during BIW assembly. This research task brought together the assembly line designers, parts suppliers, and the assembly line operators to gather information about the causes of dimensional variation in BIWs on the assembly line. This information describes the performance, failure modes, and failure frequencies of assembly line tooling; and OCMM data describe the resulting dimensional variation of the BIW. This evidence is collected at the assembly plant using a case study analysis to associate root causes with the resulting dimensional variation. The knowledge derived from these case studies, as well as the methodology used to produce the knowledge, was transferred to members of the joint venture and other companies via five "lessons learned" conferences. The knowledge is potentially useful to assembly line designers in designing future versions of tooling equipment. In addition, the case study methodology used to identify root causes of dimensional variation has become an important diagnostic tool for assembly line operators to identify and solve problems causing dimensional variation.
Task 6: Process navigators for automobile body assembly.
Existing automobile assembly plants incorporate sophisticated automated tooling and measuring equipment to assemble the BIW. The operation of this equipment and the data that are produced by the measurement systems are not generally used to manage the assembly process in a coherent fashion. This research task generated an integrated system that will acquire and use data in real time to characterize the performance of the assembly line in order to effectively manage dimensional variation. The research developed equipment and software to synthesize data from OCMMs and other measurement equipment. When the process navigator is introduced at assembly plants, the data from the measurement equipment will be analyzed using fault detection algorithms to identify when significant dimensional variation is occurring. Once undesirable variation is detected and characterized, a database of potential root causes will be automatically consulted to assist assembly line operators and engineers in addressing the problem. The ultimate results of this task provide a fully automated system for the monitoring, self-diagnosis, and maintenance of the assembly line. The use of a process navigator is expected to reduce both the launch times of new assembly lines and the amount of time required to identify and solve causes of variational problems.
2.1.3 Program Area 3: Body Assembly Technology
There were four tasks in this program area.
Task 7: Variability characterization and tolerance budget analysis for body manufacturing.
The assembly process involves many complicated automated and manual operations that each have potential for contributing to the dimensional variation of the BIW. The analysis of which assembly processes contribute to different elements of dimensional variation is an important factor in reducing total dimensional variation. This task developed a case study methodology for analyzing and solving specific dimensional variation problems encountered in existing assembly lines. Use of the methodology has, to date, resulted in less than 2.0 mm of total dimensional variation at five automobile assembly plants. They include: Chrysler's Jefferson North assembly plant in Michigan; GM's Cadillac assembly plant at Hamtramck, Michigan; and GM's truck assembly plants at Shreveport, Louisiana, Moraine, Ohio, and Linden, New Jersey. This research task has also made important engineering contributions to the understanding of how dimensional variations in sheet metal parts accumulate during assembly to produce total dimensional variation.
Task 8: Optimal non-rigid sheet metal part holding.
The flexibility of sheet metal parts complicates the processes of locating, clamping, and supporting the parts during welding and machining. The choice of locations for work-holding fixtures (blocks and clamps) greatly affects the dimensional variation of sheet metal parts and the BIW. This research task developed techniques for selecting the optimal locations for work-holding devices based on an understanding of how the sheet metal part will flex in response to the holding devices. Finite element analysis and computer simulation are used to characterize the interaction between sheet metal and the locations of fixtures. The results of this research task assist assembly line designers in optimizing the locations of work-holding fixtures while they develop new assembly tooling to minimize dimensional variation on the assembly line.
Task 9: Robust design of work-holding fixtures.
This task, which addressed a problem that is similar to that of Task 8, developed an understanding of how sheet metal parts interact with different types of fixtures. This task created computer software that, given the locations of the holding fixtures (i.e., the locations determined with the methodology derived in Task 8), specifies the types or configuration of holding fixtures that will minimize dimensional variation. The results of this research task assist assembly line designers in optimizing the types of work-holding fixtures that will minimize dimensional variation for a specific sheet metal part. In addition, a new type of clamp, the SoftTouch clamp, has been developed by ISI Automation Products Group as a direct result of this research task.
Task 10: Optimization in multiple panel fitting.
Doors, hood, and decklid panels are attached to the assembled BIW during the final stage of assembly in the body shop. When a panel does not fit with appropriate gaps and flushness, it is fitted manually by adjusting hinges or bending the panel. These manual operations are not systematic, and often result in unintended dimensional variation. This research task developed hardware and software for a panel fitting process that optimizes the gaps and flushness of the attached panels. The results of this task reduce the need for manual fitting of panels, and thus reduce the dimensional variation associated with fitting.
2.1.4 Program Area 4: Commercialization Planning
This program area consisted of a single task.
Task 11: Technology Transfer.
The goal of this task was to synthesize the information, processes, and lessons learned from the 2mm Project, and incorporate the results into a user-friendly database that can be used effectively by potential users of the technical results. The technology transfer tasks will enable the companies involved to not only adopt the technology and methodology from the 2mm Project, but also establish the infrastructure for future, post-ATP, process improvements.
In addition to the development of a computer database, this task also has resulted in meetings between project participants and representatives from industries outside of the automobile industry, as well as the publishing of a newsletter that has documented the progress of the 2mm Project as the work has evolved.
Because the 2mm Project was conducted by a joint venture comprised of 12 organizations, the relationships among the various members of the joint venture are complex. Outside of the 2mm Project, the industrial participants often compete against or negotiate with each other on routine business matters. The different members might realistically expect notably different returns from their involvement in the project.
Under these circumstances, pulling the various organizations together in distinctive groups in each of the 11 tasks that comprise the project was a challenge. It appears unlikely that (a) this complex joint venture could have been formed and (b) funding for the research project could have been coordinated without direct administrative and financial involvement by the federal government.
There are several reasons. The principal impediments to formation of a successful joint venture, and how government involvement helped to overcome those impediments, are explained in Sections 3.1 through 3.6 below. The similarity between the joint venture that has been formed to perform the 2mm Project and other research consortia that have recently been formed among the domestic automobile manufacturers is discussed in Section 3.7.
The problem addressed by the 2mm project is a systems problem, requiring a high degree of coordination among a number of quite different organizations. The problem at issue could not be solved by these individual organizations acting alone, even if they strongly wished to solve the problem and were willing each to undertake a research task in their respective areas of expertise.
Forming large, complex research joint ventures to address a systems problem is, however, a daunting effort. Many obstacles must be overcome to organize and carry out a multi-task, inter-disciplinary, integrated research effort across multiple organizations with differing missions, structures, and cultures. The ATP provided the impetus for the companies to overcome the coordination barriers and to come together to organize the research joint venture needed for the systems approach to solving the problem.
3.2 Impediments to Cooperation Among Automobile Manufacturers
Historically, the U.S. automobile industry has been resolutely scrutinized by the Antitrust Division of the Justice Department for possible anticompetitive activity. Employees of automobile companies have, therefore, been strongly warned to refrain from any interactions with competitors' employees that the Justice Department might consider suspect. Also, employees commonly have been required by their employers to sign disclaimers acknowledging their personal liability for any collaborative behavior that a federal court might judge illegal. These circumstances have spawned corporate cultures in which fear of antitrust action and consequent reluctance to engage in collaborative activity is deeply ingrained.
The fear of federal antitrust enforcement appears not to have been greatly reduced within the U.S. automobile industry by the passage of the National Cooperative Research Act of 1984. This law declares that businesses which notify the Department of Justice and Federal Trade Commission of their cooperative ventures (i.e., collaborative research and development efforts on technologies involving sufficient technical uncertainties that their commercial potential cannot be reliably assessed) may qualify for single damage limitation on civil anti-trust liability.(3) However, shortly before the law was enacted, the domestic automobile manufacturers attempted to collaborate on research intended to develop emission control technologies that would comply with regulations on automotive emissions that had recently been promulgated by the State of California. The Justice Department initiated legal action to halt the cooperative research effort, and ultimately negotiated a 15-year consent decree that enjoined such collaboration. The consent decree was not completely withdrawn until 1986.
As a direct result of the long history of stringent antitrust enforcement in the automobile industry, engineers employed by any U.S. automobile manufacturer are wary about cooperating or even communicating with their counterparts in the other domestic automobile companies. In this distrustful environment, explicit involvement by the federal government may be essential to securing the participation of domestic automobile manufacturers in any collaborative research effort, particularly in complex, multi-task, multi-company efforts. The sponsorship and sharing of costs of the joint venture by ATP pursuant to eligibility criteria established by Congress provided the companies the necessary assurance that the project would be exempt from antitrust action. Joint research and development ventures selected for funding under the ATP must notify the Department of Justice or the Federal Trade Commission under the National Cooperative Research Act of 1984. As explained above, ATP projects which comply with the National Cooperative Research Act of 1984 may benefit from limited liability.
3.3 Impediments to Independent Funding of Research Projects by Assembly Line Equipment Manufacturers and Design Engineering Firms
The companies that supply assembly line equipment and design services to automobile manufacturers are, in general, small- and medium-sized companies with limited access to financial capital. They typically do not have research budgets that are large enough that they can independently fund the types of tasks that are being conducted in the 2mm Project.
3.4 Impediments to Cooperation Between Assembly Line Producers and Automobile Manufacturers
The automobile manufacturers benefit from research results that improve the design, development, or operational efficiency of motor vehicle assembly lines. The domestic automobile manufacturers, therefore, are possible sources of funding for research in these areas performed by assembly line producers.
Automobile manufacturers, however, are generally reluctant to fund research projects performed by their suppliers. If a project is successful, the company that has conducted the research will obtain a competitive advantage over its competitors in furnishing products or services to the automobile manufacturers. Under these circumstances, the funding bestows a degree of monopoly power to the companies that have received the funding when they subsequently compete for work solicited by the manufacturers who financed the research. The automobile manufacturers will incur increased costs, either directly or indirectly, as a result of any monopoly power that is created for individual assembly line producers by research that they fund. This tends to inhibit the funding of supplier research by domestic automobile manufacturers.
Conditions specified for the 2mm Project provided for: the freedom of all joint venture members to publish any research results in scientific journals; non-exclusive, royalty-free licensing of patents and copyrighted software, for internal use only, to all members of the joint venture and to NIST; and commercialization or sub-licensing of patents, and enhancement and re-marketing of software, upon negotiation of royalty-bearing licenses with the joint venture members. Such provisions for the sharing and dissemination of research results among members encouraged prospective members to cooperate in the formation of research and development joint ventures.
3.5 Impediments to Participation by Assembly Line Producers Due to Disproportionate Risk
The 2mm Project had a robust research design that entailed multiple potential ways of reducing dimensional variation. Although several of the component tasks have not yet attained all of their stated objectives, programmatic success has been achieved in all of the automobile assembly plants where task results have been adopted. Given the systems nature of the total project, the joint venture would fail to attain its intended reduction in dimensional variation of BIWs if several of the eleven component tasks are materially deficient in achieving their individual objectives.
Because the tasks are largely independent of each other, the technical risks associated with the individual tasks are essentially uncorrelated. As a result, the probability that several of the independent tasks might simultaneously be unsuccessful is much smaller than the probability that any of the individual tasks might be unsuccessful. The aggregate risk of failure associated with the entire portfolio of tasks is, therefore, lower than the risks associated with the individual tasks.
Moreover, the risks are not shared equally by the different members of the joint venture. The primary bearers of the risk of incomplete success on the individual tasks are the specific assembly line producers that have been directly involved in the tasks. To induce their participation in the 2mm Project, partial subsidization of their research activities was necessary to compensate them for bearing disproportionate risk. ATP's financial participation in the project, which helped members bring in university participation, decreased the financial outlay made by these companies and, hence, the net risk that was borne by individual members of the joint venture. It thereby increased the probability that a net gain would be realized by every organization associated with the 2mm Project.
3.6 Impediments to Participation by the Research Universities
Cooperative research projects between universities and industry typically involve industry providing funding for research initiatives that university researchers undertake because of their own intellectual curiosity. University researchers thus are accustomed to working on research projects where they have considerable discretion in selecting the specific problems that they are investigating.
The 2mm Project, by contrast, was an integrated research project in which the problems addressed in each component task were largely determined by the industrial participants, and were expressly designed to accomplish the overall objectives of the project. The university researchers consequently had much less discretion than usual in their detailed direction of the research activities. In the 2mm Project, they applied their expertise to a problem that directly affects industry, and they were required to develop solutions to the problem that are usable by industry in practice.
Concern about the possible industry restrictions on publication of research results that are based on proprietary information, however, might have deterred university researchers from participating in the project. Government involvement that allows publication unless it is specifically prohibited by the industry participants appears to have been instrumental in overcoming their reluctance to participate.
Also, graduate students who have worked on the project have received training to develop skills and knowledge that are very important to transferring the technical knowledge to industry. To date, four graduates of the University of Michigan have gained full-time employment with companies with which they previously worked on the 2mm Project.
3.7 Similarity to Other Automotive Research Consortia
The 2mm Project is not the only research and development joint venture in which the domestic automobile manufacturers are involved. Since 1988, pursuant to the passage of the National Cooperative Research Act of 1984, the nation's three major automobile manufacturers have formed 14 other research and development consortia. All of those joint ventures have been established in response to legislative mandates for either controlling emissions from, reducing fuel consumption by, or improving safety of automobiles. For example, the Low Emission Paint Consortium (LEPC) has been formed in anticipation of more stringent environmental regulation of automotive paint systems, principally the incremental control of volatile organic compounds (VOCs) under the Clean Air Act Amendments of 1990. There has thus been substantial government impetus to the creation of the 14 consortia.
The automobile manufacturers also established, in 1992, the U.S. Council for Automotive Research (USCAR). The purpose of USCAR is to direct and coordinate the research performed by the various consortia. The topics that the consortia have been investigating include: structural polymer composites, materials and materials processing, low emission paint, manufacturing emissions, reformulated gasoline and alternative fuels, automobile emission control technologies, natural gas vehicle technology, advanced storage batteries, electrical wiring components, occupant safety, vehicle recycling, computer-aided design and computer-aided manufacturing (CAD/CAM), supercomputer applications, and high speed serial data (HSSD) communication.
Government involvement in these research activities noticeably expanded on September 29, 1993, with the initiation of the Partnership for a New Generation of Vehicles (PNGV). The PNGV is a ten-year partnership between USCAR and the federal government. The federal agencies involved in the PNGV include: the Departments of Commerce, Defense, Energy, and Transportation; the U.S. Environmental Protection Agency; the National Aeronautics and Space Administration; and the National Science Foundation.
In every research and development joint venture that two or more domestic automobile manufacturers have entered, there has been substantial government involvement. Some, such as the 2mm Project and the United States Advanced Battery Consortium (USABC), have received direct government funding. Others, such as the LEPC, have been impelled by legislated requirements. Directly or indirectly, the federal government has been involved. We have been unable to identify any instances of collaborative research among domestic automobile manufacturers that have emerged without overt stimulation from the federal government.
Portions of the technologies and methodologies developed under the 2mm Project already have been transferred into operation at five motor vehicle assembly plants. They are: Chrysler's Jefferson North assembly plant in Michigan; GM's Cadillac assembly plant at Hamtramck, Michigan; and GM's truck assembly plants at Shreveport, Louisiana; Moraine, Ohio; and Linden, New Jersey. As a result of the interaction of assembly line operators and engineers with researchers performing 2mm Project tasks, the methodology for identifying and solving variation problems with assembly line tooling has also been successfully adopted in these five assembly plants.
In each assembly plant, data from in-line OCMM equipment provides indications of dimensional variations of BIWs. The occurrence of similar variations for multiple vehicles indicates a common cause due to variation in materials, parts, or changes in tooling. A systematic problem solving approach is used to identify the root cause of the particular variation. Then, the database of knowledge that is being continuously accumulated by the 2mm Project is consulted to devise a solution to the root cause. The OCMM data are then used to verify that the action taken has effectively solved the dimensional variation.
Each of these five assembly plants has realized or exceeded the goal of achieving 2.0 mm total dimensional variation for BIWs. The Shreveport and Linden GM truck assembly plants are operating at 1.7 mm total dimensional variation. Technology transfer is currently occurring within the automobile industry as a result of the interaction of industry engineers with the engineers and researchers involved with the ten research tasks in the Dimensional Measurement Technology, Process Control Methodology, and Body Assembly Technology program areas.
Other assembly plants that are not included within the scope of the 2mm Project, including Chrysler's minivan assembly plant in St. Louis, Missouri, have contracted with the University of Michigan to transfer the methodology for reducing dimensional variation. These assembly plants have learned the methodology through the University of Michigan or lessons-learned conferences, and are now beginning to implement the methodology to reduce dimensional variation and factory launch times. Thus, there is evidence that the results of the 2mm Project are being successfully commercialized within the automobile manufacturing industry.
Future reductions in dimensional variation and associated market impacts are expected as assembly line producers begin to incorporate results from the 2mm Project into new tooling equipment. Most of the results of the engineering research of the project have not yet been implemented in automobile assembly plants or other industrial sectors. The technical results, the theories of which have been communicated to the assembly line producers, are expected to be incorporated into future assembly line tooling. ISI-Automation Products Group has developed a new type of parts fixturing clamp, the SoftTouch clamp, as a result of this research project. The feasibility of commercializing this new clamp is currently being studied. In addition, the University of Michigan, Classic Design, Inc. and Perceptron, Inc. at the time of the study were discussing the possibility of commercializing software that was being developed as part of the research on process navigators for automobile body assembly (Task 6). University engineering researchers within and outside the joint venture, as well as the assembly line producers, recognize that the research results of the tasks will have future impacts on the subsequent assembly lines developed by these small companies.
Adoption of the results from the 2mm Project by other industries where they have potential application is possible in the future, as evidenced by discussions that members of the joint venture have had with representatives of aerospace, metal furniture, and appliance manufacturing companies.
The technologies and the methodology developed by the 2mm Project will directly affect Chrysler, GM, and other private industrial firms that adopt them in four ways. First, the production costs for the industries will decrease. Second, the quality of products manufactured by the industries will improve. Third, post-production maintenance costs will decrease. Fourth, launch times for new models or products will decrease. Moreover, as a result of their producing higher quality products at lower costs, the demand for outputs of the industries will increase over time. Thus, for the automobile industry, it is estimated that GM and Chrysler will increase their combined share of the market for automobiles. Similar market share benefits will likely also accrue in other industries where the technologies are adopted.
Production costs will be reduced for firms that adopt the case-study methodology for identifying and resolving problems occurring on the production line. The reduction in production costs will be associated with: less "down-time" during which technicians shut down the assembly line to find and correct problems with production equipment; reduced wastage of materials or partially assembled products that are determined to be of such poor quality that they should not be sold to consumers, and are discarded as scrap; reduced time spent by technicians who are assembling components onto the BIW that do not fit because of substantial dimensional variation; and reduced use of "clones", or other work-in-process, on the assembly-line floor.
The quality of the final product will be improved because dimensional variance will be identified and resolved quickly during assembly. The reduced dimensional variation of the BIW will result in the finished product having better fitting components. Since product quality is an important characteristic that potential buyers consider when purchasing a vehicle, the improvement in quality will be associated with larger sales, and larger market share. The improved product quality is also expected to result in lower maintenance costs to the automobile producers (while the automobile is covered by manufacturer warranty) and to consumers (after the warranty has expired).
Many other research tasks of the 2mm Project developed technologies that will be utilized by automobile producers during the construction of the assembly line for new automobile models. The technologies will assist the assembly line producers to fabricate the assembly line equipment more quickly, and to reduce the length of time required for the completed assembly line to produce vehicles with acceptably low dimensional variation. The more quickly the automobile producers can launch a new automobile model, the larger the sales of the new model.
In summary, the types of impacts identified are the following:
Initial estimates of some of the economic impacts of the 2mm Project were estimated, based on expert judgments of the expected future changes in costs and final demands that will result from the adoption of technologies developed by the 2mm Project in automobile assembly plants. These judgments were obtained by CONSAD from manufacturing engineers involved with the 2mm Project's research tasks, from industry and trade experts, from market analysts, and from economists with experience in the automobile and discrete manufacturing industries. The individual sources of information and judgments, and information for individual plants and firms adopting technologies that have resulted from the 2mm Project, are not cited because of the proprietary and confidential nature of the data about current and expected cost savings and expected product demands. Other factors that could affect cost or demand are assumed to have remained constant.
Reflecting different approaches to estimation, separate estimates are developed for the economic impacts of cost reductions resulting from productivity improvements and the economic impacts of demand increases. Different approaches were taken because it was CONSAD's view that attempts to estimate within the context of the REMI model the effects of decreases in expected costs of the magnitude projected for the automobile industry, although sizable, would be infeasible. This is because the changes are likely too small in relation to total U.S. economic activity to have a reasonable expectation of being isolated and hence measured. In contrast, it was CONSAD's view that it was feasible within the scope and budget of the project to allow assessment of the projects quality improvement impacts in relation to total U.S. economic activity using the REMI model.
The estimated economic impacts of the expected reduction in production and maintenance costs are measured in terms of the total cost savings that might be realized by the automobile manufacturers as a result of those cost reductions. The cost reductions comprise substantial cost savings for the manufacturers, some portion of which may be shared with customers. The cost savings provide manufacturers with increased flexibility in applying pricing strategies that influence their market shares and profits. Equivalently, the cost decreases provide the automobile manufacturer with the option of adding more features to cars without increasing price. Allocating the cost savings between producer and consumer was not attempted.
The estimated economic impacts of the increases in market demand that are expected to be stimulated by improvements in product quality are measured in terms of the changes in total industry output and total private employment that are projected to result from those demand increases, other factors being constant. A macroeconomic model is used to estimate the economic impacts from increased market demand.
Implementation of the technologies developed by the 2mm Project will also substantially decrease the time required to launch the assembly of new automobile models. Industry experts assert that the reduction in launch times will generate sizable increases in sales for automobile manufacturers' popular new models. The available information is insufficient, however, for reliable estimation of the magnitude of the dollar sales increases.
Because the technologies developed by the 2mm Project are new, their impacts on industrial production and economic activity are not yet revealed in the extant empirical data on industrial performance. Therefore, to obtain realistic estimates of the likely magnitudes of those impacts, judgments about the anticipated consequences of applying the technologies were elicited from two groups of experts.
First, experts who are knowledgeable about the substance of the technologies have been interviewed to obtain their judgments about how practical application of the technologies will affect the production processes (e.g., the utilization rates of specific inputs and the resulting production costs) and the quality of products in firms that adopt the technologies. The experts who have been interviewed in this regard consist primarily of university researchers and manufacturing engineers who have been directly involved in research tasks performed on the 2mm Project, and technicians and engineers who have been involved with the initial implementation of project results at five automobile assembly plants.
Second, experts who are knowledgeable about the industries and markets in which the technologies will likely be used have been interviewed to obtain their judgments about the expected extent and rate of adoption of the technologies in those industries and markets. The experts who have been contacted for this purpose include industry and trade experts, market analysts, and economists who have experience relating to the motor vehicle and discrete manufacturing industries.
The plausibility of the judgments provided by the two groups of experts has then been evaluated by examining the coherence among the judgments provided by the various experts in each group. In addition, to the degree possible, the judgments have been compared to the available empirical data on the outcomes of the initial applications of the technologies in actual industrial situations (i.e., in motor vehicle assembly plants where the technologies are presently implemented), and to published evidence on the outcomes of applying similar technologies in comparable circumstances.
6.2 Macroeconomic Interindustry Model of the National Economy
In this task, a macroeconomic interindustry model of the national economy has been employed to estimate the impacts on the U.S. economy of increased demand from quality improvements resulting from use of the new technologies in the U.S. automobile industry. This has involved expressing where feasible the estimates of direct economic impacts, described in Section 5.0, in terms of changes in the values of specific parameters in the macroeconomic interindustry model. The revised parameter values then became inputs into the model, and the model has been run to simulate the effects that adoption of the technologies by the automobile industry will have on economic activity. These effects include impacts on industrial sectors that supply inputs to, or purchase outputs from, those in which the technologies are directly applied, and consequent feedback effects on demands for various industries and markets. The model also provides forecasts of the aggregate changes in national economic activity that will be stimulated by the use of the technologies, including changes in total industrial output and total private employment. The economic impacts of using the new technologies have been estimated as the difference between the forecasts derived with the revised parameter values and the forecasts derived with the initial baseline values.
The macroeconomic interindustry model that has been used in this study is the Regional Economic Models, Inc. (REMI's) Economic and Demographic Forecasting and Simulation 53-Sector (EDFS-53) Model of the national economy. (4) The model contains numerous structural equations that describe: production and output; population and the supply of labor; demands for labor and capital (including residential structures, nonresidential structures, and equipment); and wages, prices and profits. Interindustry transactions are represented by an input-output structure based on the input-output tables compiled by the Bureau of Economic Analysis (BEA). Equations representing behavioral relationships based on economic theory endogenously determine feedbacks on final demands among different industries in the economy. The model also characterizes substitution among inputs in response to changes in their relative costs, and wage adjustments in response to changes in labor market conditions. Forecasts of economic activity are produced for 53 economic sectors (including 49 private nonfarm industries, three government sectors, and the farm sector) and for the aggregate national economy.
The implementation of the results of the 2mm Project at automobile assembly plants will reduce the production costs for these plants as described in Section 5.0. Engineers at GM's truck assembly plant in Linden, New Jersey, and 2mm Project researchers involved with the technology transfer at Chrysler's Jefferson North assembly plant estimate that net production costs that is, production costs per car less the costs per car of implementing the 2mm technology at those facilities have been reduced by approximately $10 to $25 per vehicle as a direct consequence of implementing results from the 2mm Project. The production cost savings are expected to vary at each assembly plant according to the current level of total BIW dimensional variation. The savings represent approximately one-sixth of one percent of the total production costs for an "average" automobile produced in the U.S. The reduction in production costs begins once the key technological components are in place and the automobile manufacturers' manufacturing engineers and line operators have adopted the 2mm Project's methodology. The production cost savings result from improved labor productivity and reduced waste during the assembly process.
The price of automobiles is highly inelastic with respect to changes in production costs. The automobile industry consists of a relatively small number of firms that produce highly differentiated products. When devising pricing strategies, automobile manufacturers take into account the anticipated responses of their competitors(5). They also use short-term pricing tactics that include factory rebates and temporary product sales to compete for customers based on price. It is, therefore, unlikely that the projected decrease in production costs will directly stimulate a discernable reduction in the price of automobiles. However, since the market for automobiles is very competitive, the results of the 2mm Project will allow the automobile manufacturers who adopt the dimensional variation technologies to be more flexible in responding to changes in the market for automobiles.
To the degree that the price of automobiles does not decline in response to the projected decrease in production costs, the automobile manufacturers will realize increased profits. Industry experts estimate that, over the next five years, all of GM's and Chrysler's assembly plants will adopt the results of the 2mm Project. Upon full adoption, the estimated $10 to $25 net savings that GM and Chrysler will realize on each of the approximately 6.5 million cars and light trucks that they produce annually will amount to an overall net savings of approximately $65 million to $160 million annually.
In addition to affecting production costs, the reduction in dimensional variation that will be achieved due to automobile assembly plants' adopting the results of the 2mm Project will also reduce the amount of maintenance work that will be necessary to repair automobiles. While an automobile is under warranty, the automobile manufacturer compensates the automobile dealer who performs repairs on the automobile. According to representatives of GM and Chrysler, approximately $500 of the retail price of a new automobile, on average, is associated with the expected amount of maintenance work that will need to be performed while the automobile is covered by the manufacturer's warranty. Only a portion of this maintenance work is necessitated by the quality of the BIW; the rest involves repairs to other components, such as the powertrain, the electrical and computer systems, and interior and exterior trim. Maintenance costs vary among automobile models. No data currently are available to characterize how much maintenance work will be avoided in the future due to the reduction in dimensional variation of BIWs that will result from the implementation of 2mm Project results. The magnitude of the cost savings associated with avoiding future maintenance work is clearly lower than the hypothetical limit of approximately $500 per vehicle, but is not known at this time.
Precise estimates may be possible in the future, as automobiles that are assembled using technologies developed by the 2mm Project complete their warranty period. At present, however, estimates of the reduction in maintenance costs that will be achieved for automobiles produced in assembly plants where the results of the 2mm Project have been implemented are necessarily imprecise. The average decrease will likely lie in the range of $50 to $100 per vehicle.
If, as industry experts anticipate, the project's results are adopted in all of GM's and Chrysler's assembly plants within five years, maintenance cost savings will ultimately be realized on all of the approximately 6.5 million cars and light trucks produced in those plants annually. Thus, over the useful lives of the vehicles produced in those assembly plants during a year, total savings in maintenance costs ranging from $325 million to $650 million will be obtained as a result of the 2mm Project. If sales of vehicles assembled in the plants remain relatively stable over time, this level of total cost savings will eventually be realized annually, on average. Much of the savings will accrue to the automobile manufacturers during the vehicles' warranty periods; the balance will accrue to the vehicles' owners thereafter.
The largest impact of the 2mm Project anticipated by the joint venture members is an increase in market share (relative to what it would have been without the project) for U.S.-made automobiles due to improved product quality. Currently, industry experts believe that, on balance, the styling, performance, and price of automobiles manufactured by U.S. companies are comparable to those of automobiles produced by foreign companies. However, the quality of American automobiles, measured through customer surveys (e.g., J. D. Powers and Associates), is perceived to be less than that of foreign-made automobiles.
Figures 9.1 and 9.2 present estimates of the increases in total industrial output and total private employment in the U.S. that are expected to be stimulated by the improvements in product quality achieved by U.S. automobile manufacturers through their adoption of technologies from the 2mm Project. Although substantial economic impacts are associated with the direct effects of the 2mm Project on the automobile manufacturers, even larger estimated impacts are realized by the entireU.S. economy because of the indirect effect that a change in sales in the automobile industry will have on many other business sectors. These economic impacts were estimated in simulations performed using the Regional Economic Models, Inc. (REMI) national econometric model. Underlying the estimates are judgments by joint venture members and other automobile industry experts about the increase in market share that will be elicited by the improvements in automobile quality.
Only the lower-bound scenario has been simulated to examine the estimates for the change in market share for American automobiles that the experts expect will result from the 2mm Project. The scenario analysis assumes that the total size of the market for automobiles will not be affected by the project, but that the percentage of total U. S. automobile sales captured by GM and Chrysler will be higher (relative to the percentage without the new technologies) at the expense of foreign-made automobiles. The lower-bound scenario assumes that the combined market share of GM and Chrysler will increase (relative to the baseline) by 1.0 percent. The value represents the smallest estimate obtained by CONSAD from industry experts. The experts, who provided data and judgments regarding estimated changes in market share, referred to past instances when a short-term change in the perceived quality of an automobile model resulted in a shift in market share for the particular model relative to competitors' models.
Projections of the impact of the expected change in product quality on sales of U.S. produced automobiles are developed by estimating the increase in sales of domestically produced automobiles that will result from an increase in market share for GM and Chrysler. For a given level of increase in market share for GM and Chrysler, the change in sales of domestically produced automobiles is estimated to be equal to the increase in market share for GM and Chrysler multiplied by the ratio of the current market share for imported automobiles to the total U.S. market share for automobiles NOT produced by GM or Chrysler. This approach is based on the assumption that increased market share for GM and Chrysler that displaces the sales of imported automobiles will result in an increase in economic activity in the U.S. In contrast, it is assumed that increased market share for GM and Chrysler that displaces domestically produced automobiles will have no net effect on economic activity in the U.S. It is further assumed that Ford's market share will remain constant during the period of analysis. This assumption seems conservative given that all the U.S. assemblers share the same supplier base. (Estimates of U.S. automobile sales for domestically produced and imported foreign-made automobiles were obtained from industry reports of total automobile sales.)
The projected increase in market share was introduced as an input into the REMI model, and the corresponding future changes in industrial output and private sector employment were estimated. Estimates are presented for the years 1995 to 2000. Impact estimates for years after 2000 are not reported because it is difficult to predict developments in automobile production technology that far into the future.
Figure 9.1 shows that the quality improvements of the 2mm technologies in the automobile industry are projected - using the REMI model and the lower end of the range of estimated market-share gains - to stimulate an increase in total industrial output in the year 2000 of more than $3 billion. The cumulative output increase between 1995 and 2000 is projected in excess of $8 billion, again based on the lower end of the range of assumed market share response.
The REMI model was also used to project how the quality gains might affect employment. As shown in figure 9.2, quality improvements in automobiles -- and the assumed resulting increase in market share of domestic producers at the expense of imports -- may stimulate thousands of new jobs across the economy, taking into account inter-industry effects and assuming that the economy is able to absorb new jobs. The REMI estimates are based on the assumption of a Keynesian economic response to the modeled changes in product quality which permits an increase in employment to occur without the assumption of an immediate constricting action in monetary policy to offset the employment gains. Of course, to the extent that it were assumed that the economy is operating at full employment with strong wage pressures over this period, there would be a tendency for newly created jobs to be filled by workers moving from existing jobs, a tightening in monetary policy, and less opportunity for a net gain in total national employment.
When the original proposal for the 2mm Project was being developed, it was anticipated that the technologies and processes to be developed as part of the project would have potential application in the aerospace, appliance, and metal furniture production industries. During the course of the project, representatives of several of these industries that manufacture products requiring the automated assembly of metal parts have contacted the ABC and researchers at the University of Michigan to learn about the areas of research and the technical results of the 2mm Project, and appear interested in the potential use of the results of the 2MM Project to improve their product quality.
Because the production processes and tools used by the aerospace, appliance, and metal furniture industries are different from those used by the automobile industry, the technical results of the 2mm Project must be adapted before they can be applied commercially in these industries. The methodology for reducing dimensional variation, however, may have direct, immediate application. At present, no industry other than the automobile industry has applied the technologies that have resulted from the 2mm Project.
Since these other industries do not incorporate levels of automation as high as those in the automobile industry, the expected savings in production costs per unit of output are not as large as in automobile assembly. Industry experts believe, however, that the potential production cost savings are substantial. In addition, they expect that the reduction in dimensional variation during the production of airplanes, appliances, and metal furniture may have substantial impacts on product quality, but at this time there are no specific estimates of how reduced dimensional variation will translate into cost and price reductions or market-share increases in these industries.
The methodology used for this case-study analysis has relied on expert judgments and limited available data to characterize and estimate the economic impacts of the technologies developed by the 2mm Project, and implemented by automobile manufacturers. The estimates of market-share changes from quality improvements for automobile manufacturers were used as inputs in the REMI model to project the resulting economic impact on the economy of the entire nation. The use of experts was necessary because of the lack of extant empirical data describing: the direct impacts of the 2mm Project technologies on the production processes across different assembly plants (estimates were based on the experience of several plants); the rate of adoption of the technologies by automobile manufacturers; and the magnitude of impact of the resulting increase in product quality on the sales of automobiles. These data must be estimated because the new technologies developed by the 2mm Project are just now beginning to be adopted at automobile assembly plants in the U.S.
The use of judgments from experts who are familiar with the technologies developed as part of the 2mm Project may result in biases in the results of this analysis by CONSAD. But the existence, type, and size of possible bias cannot be determined at this time. When more facilities have adopted the technologies, then data can be collected and compared with the expert judgment to gauge the accuracy of the estimates used in this analysis.
Economic projections, in general, involve estimates of how individuals and firms will behave in the future under circumstances that may not be well-characterized by existing available data. Thus, all such projections rely on expert judgment to some extent. In order to reduce the possibility of bias in the estimates of direct impacts, it is important to obtain judgments from many experts with different perspectives on the research project being analyzed. For the purposes of future case-study analyses, it may be fruitful to spend the additional time and resources necessary to develop a committee of experts who are knowledgeable about the research project being studied, and to inform the committee of the progress of the project from the beginning. The appropriate choice of experts, the proper briefing of the experts on the progress of the research project, and the broad availability to the experts of economic data from firms that develop and adopt the resulting technologies will improve the credibility of the expert judgments obtained to describe direct impacts. Use of the Delphi technique, or similar techniques, may further improve the quality of expert judgment.
An additional obstacle to performing case studies is the need for data which is sometimes viewed as proprietary by the companies. Since the existing data and information describing the specific impacts of the technologies developed as part of the 2mm Project pertain to specific company facilities that have already adopted part of the technologies, these data were considered proprietary in nature, to be treated as commercial secrets. Thus, the full details of the data used in estimating cost savings and market share have not been documented here, but have been used to guide the estimates and choice of parameter values used in the analysis. This situation is not uncommon in performing industrial case studies, and will probably not be addressed differently in other case study analyses since it is the nature of firms in competition to maintain certain information as proprietary. However, it might be useful in future grants to make more explicit during the early stages of the research project the type of information that would be required from the participants for case-study evaluations, and to try to find common ground up front that would later meet the ATP's need for specific information to support evaluation of that project and the company's need to protect proprietary information. (For projects funded by the ATP since 1992, a systematic approach is in place for collecting project data, but the 2mm Project predates the implementation of the ATP's "Business Reporting System." Even with ATP's Business Reporting System in place, there will likely be unique pieces of data needed for case studies that will be missing unless the scoping of data requirements is performed in advance for each project and negotiated with the companies up-front.
A further limitation was that not all of the observed effects of the technology on the automobile industry were modeled using the REMI model. For this case-study analysis, although the auto production cost changes associated with the adoption of the technologies developed by the 2mm Project are sizable, these costs are relatively small compared to the total production costs of the automobile manufacturing industry. The analytic content of the 53-sector REMI model is not detailed enough to project the total impact of the production cost savings on the entire economy. But, as presented in the previous section, the REMI model is an appropriate analytic tool to estimate the impacts of changes in market share of the size observed in this study. In future case-studies, a preliminary assessment to ascertain the optimal analytic tools to be used to project different types of economic impacts, for different types of industries, would be helpful.
Finally the omission of quantified estimates of the economic impacts that adoption of the technologies by the other manufacturing sectors might have is a limitation with respect to total potential impact of the generic technologies developed. At this early stage, there is simply too little information on the likely rate of adoption of the technologies by other manufacturing sectors, and on the resulting impacts on production costs and product quality and sales in those other sectors.
For this experimental
analysis, case-study budget constraints did not allow further refinements
of the data and assumptions. Future case studies analyzing the impacts
of new technologies for which there is little empirical data would benefit
from an allowance for more supporting research.
Fellner, W. J. Competition Among the Few ( New York: Augustus M. Kelley reprints of economic classics, 1960).
J.D. Power and Associates. New Car Initial Quality Study (CA: J.D. Power and Associates Publisher, 1995).
Ruegg, Rosalie T. Guidelines for Economic Evaluation of the Advanced Technology Program (Gaithersburg, MD: U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology Report, NISTIR-5896, November 1996).
Sherman, R. Oligopoly (Lexington, MA: D. C. Heath and Company, 1972).
Treyz, George I., Regional Economic Modeling (Norwell, MA: Kluwer Academic Publisher, 1993).
U.S. Congress, National Cooperative Research Act of 1984 (15 U.S.C., 4301) as amended by National Cooperative Production Amendments of 1993 (P.L. 103-42, Section 2, 107 Stat. 117).
U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology. Advanced Technology Program Proposal Preparation Kit (Gaithersburg, MD: NIST, November 1996).
U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology. Advanced Technology Program: A Guide for Program Ideas (Gaithersburg, MD: NIST, September 1996).
U.S. Department of Commerce, Technology Administration, National Institute of Standards and Technology. The Advanced Technology Program: A Progress Report on the Impacts of an Industry-Government Technology Partnership (Gaithersburg, MD: NIST-ATP-96-2).
1.
Single
companies can receive up to $2 million of ATP funds over a period not
to exceed three years. Single companies do not have to provide matching
funds, but they are reimbursed for direct costs only. They must pay for
all overhead and indirect costs. Joint ventures can be funded up to a
maximum of five years, with no funding limit. A joint venture must provide
more than 50 percent of the total funding. The joint venture's matching
contribution can take the form of cash and in-kind support. The research
projects that receive ATP awards are selected from proposals that are
submitted as part of general or focused ATP competitions. General ATP
competitions solicit research proposals from all technology areas. (See
ATP Proposal Preparation Kit for more details about the program and
selection criteria.) Focused ATP competitions concentrate on specific
technology or business areas designated by ATP in response to industry
white papers. (See ATP Guide for Program Ideas for more about
focused programs.) Research proposals submitted during ATP competitions
are evaluated in a rigorous peer review process on the basis of the technical
merit of the proposed research effort, the potential for commercialization,
and the estimated broad economic impacts that the results of the research
will potentially achieve. Further evaluation of projects is conducted
in the post-award period. (See Ruegg, Guidelines for Economic Evaluation
and ATP's Progress Report on the Impacts of an Industry-Government
Technology Partnership for more about ATP's evaluation program.)
2.
J.D. Power
and Associates, New Car Initial Quality Study, 1995.
3.
U.S. Congress,
National Cooperative Research Act of 1984 (15 U.S.C., 4301) as amended
by National Cooperative Production Amendments of 1993 (P.L. 103-42, Section
2, 107 Stat. 117).
4.
For further
description of the REMI model, see George I. Treyz, Regional Economic
Modeling.
5.
Fellner,
W. J., Competition Among the Few, New York : Augustus M. Kelley
reprints of economic classics, 1960; Sherman, R., Oligopoly,
Lexington, MA: D. C. Heath and Company, 1972.
Date created: March 1997
Last updated:
April 12, 2005
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