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Electro-Motive Division of GM jointly with HRL Laboratories have developed a software tool, called TechPro, which assists in troubleshooting of diesel locomotives. The tool has been tested extensively in the field for the last two years. It has improved significantly the quality of diagnosis of locomotives. The tool is based on Graphical Probabilistic Models and Case Data Bases. We will discuss the design of the tool, its performance and will show its relevance to diagnosis of automobiles.

Commercially available software tools are widely used to assist in conducting life cycle inventory, life cycle assessment (LCA), life cycle impact analysis (LCIA), and design for the environment (DfE) studies. Five leading software tools, Boustead 4.2, GaBi 3.2, SimaPro 4.0, TEAM 3.0, and Toolkit, currently in use or under consideration by life cycle practitioners, were selected for testing, and a detailed evaluation scheme was used to evaluate the effectiveness of these tools for practical application in automotive life cycle studies. A consensus numerical score for each of 20 separate test criteria was assigned to each of the software packages under evaluation, and the total scores compared. On the basis of these scores, the authors chose GaBi version 3.2 as the LCA software package currently best suited for use by experienced life cycle practitioners in conducting environmental life cycle assessments in the automotive industry.

Typically, “Reliability and Maintainability (R&M)” is perceived as a tool for products alone. Putting emphasis on reliability only at the cost of maintainability is another archetype. Inclusion of both reliability and maintainability (R&M) in all the phases of the machinery and equipment (M&E) life cycle is required in order to be world competitive in manufacturing. R&M is mainly a design function and it should be a part of any design review. Inclusion of the R&M concept early in the life cycle of M&E is key to cost effective and competitive manufacturing. Neither responsive manufacturing nor preventive maintenance can raise it above the level of inherent R&M.

The Paint Technology Globalization effort is recognized as an important step of accomplishing the leveraging of worldwide resources of both engineering and purchasing in order to improve General Motor's competitiveness. The process used, the benefits derived, the current status of the effort, and the expected results (deliverables) are discussed. These include common materials, processing, and equipment paint specifications to be included in purchasing bid packages.

The goal of this study is to assess the total Life Cycle Global Warming Impact of the current HFC-134a (R134a) refrigeration system and compare it with the effect of proposed alternatives, HFC-134a Enhanced, HFC-152 (R152a), R744, R744 Enhanced and R290, based on life cycle analysis (LCA). The enhanced systems include control strategies to elevate the compressor suction pressure as the evaporator load is reduced. The hydrofluorocarbons HFC-134a and HFC-152a are greenhouse gases (GHGs) and are subject to the Kyoto Protocol timetables, which when the treaty takes effect will require participating developed countries to reduce their overall CO2 equivalent emissions of six GHGs by at least 5% by 2012 from 1990 levels.

This paper describes some methods for greatly reducing or possibly eliminating subjective tuning of suspension parts for ride and handling. Laptop computers can now be used in the vehicle to guide the tuning process. The same tools can be used to select solutions that reduce sensitivity to production and environmental variations. OBJECTIVE Reduce or eliminate time required for tuning of suspension parts for ride characteristics. Improve the robustness of ride performance relative to variations in ambient temperature and production tolerances. PROBLEM REQUIRING SOLUTION AND METHOD OF APPROACH Traditional development programs for new vehicles include time-consuming subjective ride evaluations. One example is shock absorber tuning. Even if sophisticated models define force-velocity curves, numerous hardware iterations are needed to find valvings that will reproduce the curves. Many evaluation rides are needed to modify the valvings to meet performance targets.

As component and systems sophistication in both cars and trucks increase, improved diagnostic capabilities are required to assure proper and expedient serviceability. Replacement of electrical modules, starter motors, carburetors, fuel injectors and even whole engines or transmissions is encouraged by high labor costs and continued vehicle mobility mandates. The remanufacturing business has grown and components previously discarded now provide valuable core elements to feed the industry. To achieve efficient utilization of capital, equipment and labor, remanufacturers must estimate when this supply of core elements will be available and plan their production schedules accordingly. In order to properly service private individuals and commercial fleets, minimize vehicle downtime and reduce life cycle costs, adaptation of available analytical tools must be made.

The purpose of this paper is to illustrate the use of Taguchi experimental methods as a development tool for designing a manufacturing process for inner door panels. Through analysis of experimental results, it was possible to identify critical manufacturing variables, as well as demonstrate inherent process capability.

Truck driver eye and head position tools have been developed to describe where certain percentages of truck drivers position there eyes and heads in various workspace arrangements. Separate equations describe the accommodation level for driver populations with male to female ratios of 50/50, 75/25, and a range from 90/10 to 95/5. These equations can be used as a design tool to locate the curves in vehicle space to describe the region behind which the given populations eyes and heads would be located. Equations and curves are provided for both the drivers eye and head in the side view. It has become increasingly apparent that there is a need for improved methods of accommodating truck drivers in heavy truck cab design. Currently, practices used in the automobile industry for passenger car design are utilized for the design of heavy trucks. These practices.

Truck driver shin-knee and stomach postion tools have been developed to describe where certain percentages of truck drivers position there knees and stomachs in various workspace arrangements. Separate equations describe the accommodation level for driver populations with male to female ratios of 50/50, 75/25, and a range from 90/10 to 95/5. These equations can be used as a design tool to locate the curves in vehicle space to describe the region behind which the given populations shin-knees, and stomachs would be located. Equations and curves are provided for both the left leg, which operates the clutch, and the right leg, which operates the accelerator.

This paper will focus on the process, as used at AC Rochester, of performing reliability analyses early in the design phase of automotive component development and the integration of specific techniques and methods. This methodology forms an effective tool that achieves the identification of component failure modes and mechanisms with greater confidence than any single technique and provides for the simple and direct communication of the results. In addition, our experience shows that this process provides the maximum preventive impact on the product during the design phase, thus yielding demonstrably improved reliability characteristics on the production part. Specifically, a four-step up-front analysis process can facilitate the usefulness of various analytical techniques to the identification of product reliability problems.

Life Cycle Assessments (LCA) of complex systems, such as vehicles and vehicle components, are based on the quantification of the energy, wastes, and emissions associated with the material production, manufacturing, use and end of life of the product. However, the volume of information needed to provide a comprehensive assessment of the environmental burdens is large and complicates the decision process in choosing among alternatives. For this reason people have attempted to simplify the information by collapsing it into a single index, which essentially assigns a score to a product of being “good” or “bad”. Even though such an approach looks attractive to the decision-makers that want simple answers based on meaningful data, the results may be misleading.