A Design for Supply Chain Model by Integrated Evaluation of Design Value and Supply Chain Cost
To design a product with the given product requirement and design objective, there can be alternative ways to propose the detailed design specifications of the product. In the design modeling stage, alternative design cases with detailed specifications can be modeled to fulfill the product requirement and design objective. Therefore, in the design evaluation stage, it is required to perform an evaluation of the alternative design cases for deciding the final design. The purpose of this research is to develop a product evaluation model for evaluating the alternative design cases by integrated evaluating the criteria of functional design, Kansei design, and design for supply chain. The criteria in the functional design group include primary function, expansion function, improved function, and new function. The criteria in the Kansei group include geometric shape, dimension, surface finish, and layout. The criteria in the design for supply chain group include material, manufacturing process, assembly, and supply chain operation. From the point of view of value and cost, the criteria in the functional design group and Kansei design group represent the design value of the product. The criteria in the design for supply chain group represent the supply chain and manufacturing cost of the product. It is required to evaluate the design value and the supply chain cost to determine the final design. For the purpose of evaluating the criteria in the three criteria groups, a fuzzy analytic network process (FANP) method is presented to evaluate a weighted index by calculating the total relational values among the three groups. A method using the technique for order preference by similarity to ideal solution (TOPSIS) is used to compare and rank the design alternative cases according to the weighted index using the total relational values of the criteria. The final decision of a design case can be determined by using the ordered ranking. For example, the design case with the top ranking can be selected as the final design case. Based on the criteria in the evaluation, the design objective can be achieved with a combined and weighted effect of the design value and manufacturing cost. An example product is demonstrated and illustrated in the presentation. It shows that the design evaluation model is useful for integrated evaluation of functional design, Kansei design, and design for supply chain to determine the best design case and achieve the design objective.
Keywords: Design evaluation, functional design, Kansei design, supply chain, design value, manufacturing cost, fuzzy analytic network process, technique for order preference by similarity to ideal solution.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1131888Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 716
 Y. J. Tseng, and Y-S. Chen, “A Closed-loop Design Model for Sustainable Manufacturing by Integrating Forward Design and Reverse Design,” International Journal of Social, Behavioral, Educational, Economic and Management Engineering, Vol. 9, No. 7, 2015, pp. 2217-2213.
 Y.-J. Tseng, and Y-J Wang, “A Product Development for Green Logistics Model by Integrated Evaluation of Design and Manufacturing and Green Supply Chain”, ICIME 2013 International Conference on Industrial and Mechanical Engineering (World Academy of Science, Engineering and Technology), London, UK, July 08-09, 2013, vol. 7, no. 7, pp. 420-425.
 C. A. Weber, J. R. Current, and W. C. Benton, “Vendor Selection Criteria and Methods,” European Journal of Operational Research, vol. 50, pp. 2-18, 1991.
 R. G. Kasilingam, and C. P. Lee, “Selection of Vendors: A Mixed-Integer Programming Approach,” Computers and Industrial Engineering, vol. 31, no. 1-2, pp. 347-350, 1996.
 P. K. Humphreys, Y. K., Wong, and F. T. S. Chan, “Integrating environmental criteria into the supplier selection process,” Journal of Materials Processing Technology, vol. 138, pp.349-356, 2003.
 G. Akyuz, and E., T. Erman, “Supply chain performance measurement: a literature review,” International Journal of Production Research, vol. 48, no. 17, pp. 5137-5155, 2010.
 T. L. Saaty, “Decision Making with Dependence and Feedback: The Analytic Network Process,” Pittsburgh, PA: RWS Publications, 1996.
 C. L. Hwang, and K. Yoon,”Multiple Attribute Decision Making: Methods and Applications, “ New York: Springer-Verlag, 1981.