EAS: Engineering advisory system

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Abstract
Decisions made during the early stages of product design have the largest influence on cost and lead timeswith as much as 80% of a product’s cost being determined early in the design stage. Today most of the organizations in the supply chain have become very specialized in engineering functions such as product design, industrial design, tooling, and manufacturing processes. This increased specialization and the growing economic pressures on OEM companies have resulted in an increased trend towards outsourcing manufacturing and some other support functions. Often designers are untrained in or do not have working knowledge of manufacturing. They rely on their limited knowledge of materials and manufacturing processes in making design decisions. The designers get advice from the manufacturing suppliers late in the development process. Most decisions made in such a manner tend to be sub-optimal and require costly corrective action at later stages in the product development process. Hence, concurrent engineering in the current geographically and temporally distributed supply chain is virtually nonexistent. There is a clear need for research that will bring knowledge from the later stages of the development process in an unbiased manner to the designer for reducing product development times and costs. The primary goal of this project is to effectively bridge the gap between design and manufacturing by providing the designer with knowledge-based advisory tools. The advisory tools will help the designer with knowledge of the downstream activities such as process and material selection, cost estimation of various manufacturing processes, tooling related advice, supplier selection etc. Such a knowledge-based tool and methods, working seamlessly in conjunction with the design tools (e.g. CAD/CAE packages) will help the designer to make better design decisions. Using “what-if”scenarios followed by decisions and design changes promises to fundamentally change preliminary design and eliminate costly changes later. Our approach will not only create value in terms of better design decisions, but also reduce time-to-market.

People

  • Mechanical Engineering:
    Dr. Karthik Ramani, Dr. Mileta Tomovic, Alexander Lee, Chan Chung, Joon Hong, and Nikhil Joglekar
  • Industrial Engineering:
    Harshal Patwardhan, Karthik Sitaram (Graduated).

Sponsors
IIndiana 21st Century Research and Technology Fund
Purdue University Faculty Scholar Award

Publications
Journal
[1] Karthik, S., Chung, C., and Ramani, K., "Rapid Application Development Of Process Capability - Supplier Models," ASME 2003 International Design Engineering Technical Conferences, Chicago, Illinois, September 2-6, 2003

[2] Karthik, S., Chung, C., Ramani, K., and Tomovic, M., "Methodology for Metal casting Process Selection," SAE 2003 World Congress, Detroit, Michigan, March 3-6, 2003

[3] Patwardhan, H., Karthik, S., Ramani, K., "Bridging the gaps: Engineering Advisory Systems for Process and Cost" SME 2004 WESTEC Advanced Productivity Exposition, Los Angeles, California, March 22-25, 2004

Current Events

 

NSF Multi-disciplinary Workshop

August 30-31, 2004