AN EXPLORATION ON THE USE OF DATA ENVELOPMENT ANALYSIS IN THE PRODUCT DESIGN DOMAIN

Open Access
Author:
Lin, Chun-yu
Graduate Program:
Industrial Engineering
Degree:
Master of Science
Document Type:
Master Thesis
Date of Defense:
None
Committee Members:
  • Gul Kremer, Thesis Advisor
Keywords:
  • product design
  • Data envelopment analysis
Abstract:
In engineering design domain, product design process is a major focus. In this process, products are realized by several consecutive stages, and decision making is frequently involved. In the product design process, decision makers have to deal with multiple dimensions, criteria and uncertainties. For manufacturers, any faulty decision during the product design process would lead to enormous loss. Product design process is so complex that decision makers may need an effective tool to assist them in achieving appropriate decisions. In this study, we introduce data envelopment analysis (DEA) to the product design process in solving conceptual design problems and product family design problems. Moreover, we apply both traditional deterministic DEA and later developed interval DEA models in this study. Three case studies are demonstrated to show how DEA can work on problems in product design process. For the first case, deterministic DEA is applied to a product family design problems to choose the best product line. For the second and third cases, DEA will be introduced to solve product conceptual design problems. The second case is a simple selection from multiple concept alternatives, but the third case involves uncertainty issues in the decision making process. After the three case studies, the results show that DEA is applicable to problems in product design domain and can provide reasonable results for decision makers in generating appropriate product design strategies.