Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30075
A Closed-Loop Design Model for Sustainable Manufacturing by Integrating Forward Design and Reverse Design

Authors: Yuan-Jye Tseng, Yi-Shiuan Chen


In this paper, a new concept of closed-loop design for a product is presented. The closed-loop design model is developed by integrating forward design and reverse design. Based on this new concept, a closed-loop design model for sustainable manufacturing by integrated evaluation of forward design, reverse design, and green manufacturing using a fuzzy analytic network process is developed. In the design stage of a product, with a given product requirement and objective, there can be different ways to design the detailed components and specifications. Therefore, there can be different design cases to achieve the same product requirement and objective. Subsequently, in the design evaluation stage, it is required to analyze and evaluate the different design cases. The purpose of this research is to develop a model for evaluating the design cases by integrated evaluating the criteria in forward design, reverse design, and green manufacturing. A fuzzy analytic network process method is presented for integrated evaluation of the criteria in the three models. The comparison matrices for evaluating the criteria in the three groups are established. The total relational values among the three groups represent the total relational effects. In applications, a super matrix model is created and the total relational values can be used to evaluate the design cases for decision-making to select the final design case. An example product is demonstrated in this presentation. It shows that the model is useful for integrated evaluation of forward design, reverse design, and green manufacturing to achieve a closed-loop design for sustainable manufacturing objective.

Keywords: Design evaluation, forward design, reverse design, closed-loop design, supply chain management, closed-loop supply chain, fuzzy analytic network process.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1442


[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] F. Schultmann, M. Zumkeller, and O. Rentz, “Modeling reverse logistic tasks within closed-loop supply chains: An example from the automotive industry,” European Journal of Operational Research, vol. 171. no. 3, pp. 1033-1050, 2006.
[7] A. Alshamrani, K. Athur, and R. H. Ballou, “Reverse logistics: simultaneous design of delivery routes and returns strategies,” Computers & Operations Research, vol. 34, no. 2, pp. 595-619, 2007.
[8] Y. Y. Lu, C. H. Wu, and T. C. Kuo, “Environmental principles applicable to green supplier evaluation by using multi-objective decision analysis,” International Journal of Production Research, vol. 45, no. 18, pp. 4317-4331, 2007.
[9] H. J. Ko, and G. W. Evans, “A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs,” Computers & Operations Research, vol. 34, no. 2, pp. 346-366, 2007.
[10] G. F. Yang, Z. P. Wang, and X. Q. Li, “The optimization of the closed-loop supply chain network," Transportation Research Part E: Logistics and Transportation Review, vol. 45, no. 1, pp. 16-28, 2009.
[11] G. Kannan, P. Sasikumar, and K. Devika, “A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling,” Applied Mathematical Modelling, vol. 34, pp.655-670, 2010.
[12] C. H. Chuang, and C. H. Wang, “Closed-loop supply chain models for a high-tech product under alternative reverse channel and collection cost structures”, International Journal of Production Economics, vol. 156, pp. 108-123, 2014.
[13] V. Hashemi, V., M. Chen, and L. Fang, “Process planning for closed-loop aerospace manufacturing supply chain and environmental impact reduction”, Computers and Industrial Engineering, vol. 75, pp 87-95, 2014.
[14] M. Ramezani, A. Kimiagari, and B. Karimi, “Closed-loop supply chain network design: A financial approach”, Applied Mathematical Modelling, vol. 38, pp. 4099-4119, 2014.
[15] J. J. Buckley, “Ranking Alternatives Using Fuzzy Number,” Fuzzy Sets and systems, vol. 15, pp. 21-31, 1985.
[16] T. L. Saaty, “Decision Making with Dependence and Feedback: The Analytic Network Process,” Pittsburgh, PA: RWS Publications, 1996.