Integrated Evaluation of Green Design and Green Manufacturing Processes Using a Mathematical Model
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Integrated Evaluation of Green Design and Green Manufacturing Processes Using a Mathematical Model

Authors: Yuan-Jye Tseng, Shin-Han Lin

Abstract:

In this research, a mathematical model for integrated evaluation of green design and green manufacturing processes is presented. To design a product, there can be alternative options to design the detailed components to fulfill the same product requirement. In the design alternative cases, the components of the product can be designed with different materials and detailed specifications. If several design alternative cases are proposed, the different materials and specifications can affect the manufacturing processes. In this paper, a new concept for integrating green design and green manufacturing processes is presented. A green design can be determined based the manufacturing processes of the designed product by evaluating the green criteria including energy usage and environmental impact, in addition to the traditional criteria of manufacturing cost. With this concept, a mathematical model is developed to find the green design and the associated green manufacturing processes. In the mathematical model, the cost items include material cost, manufacturing cost, and green related cost. The green related cost items include energy cost and environmental cost. The objective is to find the decisions of green design and green manufacturing processes to achieve the minimized total cost. In practical applications, the decision-making can be made to select a good green design case and its green manufacturing processes. In this presentation, an example product is illustrated. It shows that the model is practical and useful for integrated evaluation of green design and green manufacturing processes.

Keywords: Supply chain management, green supply chain, green design, green manufacturing, mathematical model.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1093574

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[1] 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.
[2] 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.
[3] 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.
[4] 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.
[5] 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.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] S. Shana, and C. C. Yen, "Green product design through product modularization using atomic theory”, Robotics and Computer-Integrated Manufacturing, vol. 26, no. 6, pp. 790-798, 2010.
[12] H. E. Tseng, C. C. Chang, and J. D. Li, "Modular design to support green life-cycle engineering”, Expert Systems with Applications, vol. 34, no. 4, pp. 2524-2537, 2008.
[13] C. H. Chu, Y. P. Luh, T. C. Li, and H. Chen, "Economical green product design based on simplified computer-aided product structure variation”, Computers in Industry, vol. 60, no. 7, pp. 485-500, 2009.
[14] F. Wang, X. F. Lai, and N. Shi, "A multi-objective optimization for green supply chain network design”, Decision Support Systems, vol. 51, no.2, pp. 262-269, 2011.
[15] C. J. Chung, and H. M. Wee, "Green-component life-cycle value on design and reverse manufacturing in semi-closed supply chain”, International Journal of Production Economics, vol. 113, no. 2, pp. 528-545, 2008.
[16] Y.-J. Tseng, F.-Y. Yu, and F.-Y. Huang, "A Green Assembly Sequence Planning Model with a Closed-Loop Assembly and Disassembly Sequence Planning Using a Particle Swarm Optimization Method,” International Journal of Advanced Manufacturing Technology, vol. 57, no. 9, pp. 1183-1197, 2011.
[17] F. Lin, B. Koc, and L. Lin, "Material selection in product design subject to environmental taxation and environmentally conscious consumer buying behavior”, International Journal of Sustainable Design, vol. 1, no. 2, pp. 145-162, 2009.
[18] 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, Waset, London UK, 79, pp. 916-921, July 08-09, 2013.