iv This research investigates the development of a process for Design for Supply Chain (DFSC) -a process that aims to reduce the product life cycle costs, improve product quality, improve efficiency, and improve profitability for all partners in the supply chain (SC). It focuses on understanding the impacts and benefits of incorporating the SC configuration problem into the product design phase. As the product design establishes different requirements on the manufacturability, cost, and similar parameters, the SC is also closely linked to product design decisions and impacted by them. This research uniquely combines the impacts of the product design and price decisions on the product demand and the impacts of the SC decisions on cost, lead time, and demand satisfaction.The developed mathematical models are aimed at economically managing the SC for product design and support not only product design, but also redesign associated with process improvements and design changes in general. This research suggests development of a proactive approach to product design allowing impacts to the SC to be predicted in advance and resolved more quickly and economically. It presents two product and SC design approaches. The sequential approach examines the design of a product followed by the SC design where the simultaneous approach considers both the product and SC designs concurrently. By utilizing Mixed Integer Programming and a Genetic Algorithm, this research studies various research questions which examine modeling preferences and essential performance metrics, impacts of DEVELOPMENT OF A SIMULTANEOUS DESIGN FOR SUPPLY CHAIN PROCESS FOR THE OPTIMIZATION OF THE PRODUCT DESIGN AND SUPPLY CHAIN CONFIGURATION PROBLEMNuri Mehmet Gökhan, PhDUniversity of Pittsburgh, 2007 v using a sequential versus simultaneous design approach on these performance metrics, the robustness of the resulting SC design, and relative importance of the product and SC design on the profits. To answer these questions, different models are developed, tested with illustrative data, and the results are analyzed.The test results and industry experts' validations conclude that the developed DFSC models add significant value to the product design procedure resulting in a useful decision support tool. The results indicate that the simultaneous DFSC approach captures the complex interactions between the product and supply chain decisions, improving the overall profit of a product across its life cycle. Nora not only for their enthusiasm but also for all the coffee that kept me awake all the time. Keywords Mdem:Maximum potential demand over all periods (calculated by using maximum of timemultiplier t and lowest price t with υ t =1) INTRODUCTIONThis research focuses on understanding the impacts and proposed benefits of incorporating the supply chain configuration problem into the product design phase analogous to the Design for Manufacturability (DFM) concept introduced in the 1980s where manufacturing processes of a product are taken into account in the pr...
He has developed a graduate program in Supply Chain Engineering where he teaches Supply Chain Strategy and Supply Chain Modeling. Dr. Ingalls joined Oklahoma State in 2000 after 16 years in industry with Compaq, SEMATECH, General Electric and Motorola. He has a B.S. in Mathematics from East Texas Baptist College (1982), a M.S. in Industrial Engineering from Texas A&M University (1984) and a Ph.D. in Management Science from the University of Texas at Austin (1999). mario cornejo, Oklahoma State University Mario Cornejo is a Ph.D student in Industrial Engineering and Management at Oklahoma State University. Mario got his M.S. in Industrial Engineering at Oklahoma State University in 2005; then he worked at DELL implementing Six Sigma methodology where he got certified as a DELL-Green Belt and an ASQ-Black Belt. Before joining the master program, Mario worked for four years at an aircraft repair station of an airline company in inventory control and production planning areas. He also holds a B.S. in Industrial Engineering from Universidad Centroamericana, in San Salvador. Chinnatat Methapatara, Oklahoma State University Chinnatat Methapatara is Master's Candidate in the School of Industrial Engineering and Management at Oklahoma State University, OSU. He is currently working as a Research Assistant on the Design for Supply Chain project. Prior to joining OSU he worked as a Research Assistant and a Systems Engineer. In 2005 he received his Bachelor's Degree from King Mongkut's Institute of Technology North Bangkok in the field of Electrical Engineering. Peerapol Sittivijan, Oklahoma State University Peerapol Sittivijan received his Bachelor's degree in Civil Engineering and Master's degree in Transportation Engineering in Mahidol University and Asian Institute of Technology respectively. He has also worked as a transportation planner and analyst where he performed transportation modeling and traffic analysis. Peerapol is a Master's student in Industrial Engineering at Oklahoma State University working on a project entitled Freight Movement Model Development for Oklahoma and Product Design for Supply Chain, where he develops a model to forecast freight flow patterns in the U.S., especially focusing on the area in the state of Oklahoma.
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