Robust environmental closed-loop supply chain design under uncertainty

Chaos, Solitons and Fractals

Volumn 89, Issue , 2016, Pages 195-202

  MA, Ruimin ^a,b   YAO, Lifei ^a,c   JIN, Maozhu ^a   REN, Peiyu ^a   LV, Zhihan ^d  

^a Department of Management Science and System Science   (China)

^b UNIVERSITY OF WASHINGTON   (United States)

^c ARIZONA STATE UNIVERSITY   (United States)

^d SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY   (China)

Author keywords

closed loop supply chain network; Environmental; Robust optimization; Uncertainty

Indexed keywords

COMPETITION; ENVIRONMENTAL MANAGEMENT; LINEAR MATRIX INEQUALITIES; NONLINEAR PROGRAMMING; OPTIMIZATION; SUPPLY CHAINS;

CLOSED-LOOP SUPPLY CHAIN; CLOSED-LOOP SUPPLY CHAIN NETWORKS; ECONOMIC AND ENVIRONMENTAL PERFORMANCE; ENVIRONMENTAL; MIXED INTEGER NONLINEAR PROGRAMMING MODELS; MIXED INTEGER PROGRAMMING MODEL; ROBUST OPTIMIZATION; UNCERTAINTY;

INTEGER PROGRAMMING;

EID: 84979500153     PISSN: 09600779     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chaos.2015.10.028     Document Type: Article

References (26)

1. [1] Amin, S.H., Zhang, G., A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return. Appl Math Model 37 (2013), 4165–4176.
2. [2] Altmann, M., Bogaschewsky, R., An environmentally conscious robust closed-loop supply chain design. J Bus Econ 84 (2014), 613–637.
3. [3] Barbosa-Pvoa, A., Sustainable supply chains. Comput Aided Chem Eng 27 (2009), 127–132.
4. [4] Ben-Tal, A., Nemirovski, A., Selected topics in robust convex optimization. Math Program 112 (2008), 125–158.
5. [5] Cheng, S., Chan, C.W., Huang, G.H., An integrated multi-criteria decision analysis and inexact mixed integer linear programming approach for solid waste management. Eng Appl Artif Intell 16 (2003), 543–554.
6. [6] Deng, L., Li, W., Liu, Z., Different subsidies impact on equilibrium decision-making of closed-loop supply chain. J Ind Eng Manag 7 (2014), 1061–1075.
7. [7] Fahimnia, B., Sarkis, J., Dehghanian, F., Banihashemi, N., Rahman, S., The impact of carbon pricing on a closed-loop supply chain: an Australian case study. J Clean Prod 59 (2013), 210–225.
8. [8] Ferreira, M.A., Jabbour, C.J.C., de Sousa Jabbour, A.B.L., Maturity levels of material cycles and waste management in a context of green supply chain management: an innovative framework and its application to Brazilian cases. J Mater Cycles Waste Manag 17:7 (2015), 1–10.
9. [9] Guillen-Gosalbez, G., Grossmann, I.E., Optimal design and planning of sustainable chemical supply chains under uncertainty. AIChE J 55 (2009), 99–121.
10. [10] Hasani, A., Zegordi, S.H., Nikbakhsh, E., Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty. Int J Prod Res 50 (2012), 4649–4669.
11. [11] Hasani, A., Zegordi, S.H., Nikbakhsh, E., Robust closed-loop global supply chain network design under uncertainty: the case of the medical device industry. Int J Prod Res 53:5 (2015), 1596–1624.
12. [12] Jamshidi, R., Fatemi Ghomi, S.M.T., Karimi, B., Multi-objective green supply chain optimization with a new hybrid memetic algorithm using the Taguchi method. Sci Iran 19 (2012), 1876–1886.
13. [13] Lee, A.H.I., Kang, H.Y., Hsu, C.F., Hung, H.C., A green supplier selection model for high-tech industry. Expert Syst Appl 36 (2009), 7917–7927.
14. [14] Leung, S.C.H., Tsang, S.O.S., Ng, W.L., Yue, W., A robust optimization model for multisite production planning problem in an uncertain environment. Eur J Oper Res 181 (2007), 224–238.
15. [15] Li, D., Hanafi, Z., A study of eco-performance of logistics services in food supply chains. J Syst Manag Sci 3 (2013), 1–9.
16. [16] Listes, O., Dekker, R., A stochastic approach to a case study for product recovery network design. Eur J Oper Res 160 (2005), 268–287.
17. [17] Liu, H., Cao, Y., Evaluation system of the supply chain stability. J Syst Manag Sci 2 (2012), 70–78.
18. [18] Mulvey, J., Vanderbei, R., Zenios, S., Robust optimization of large-scale systems. Oper Res 43 (1995), 264–281.
19. [19] Pishvaee, M.S., Rabbani, M., Torabi, S.A., A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl Math Model 35 (2011), 637–649.
20. [20] Pishvaee, M.S., Razmi, J., Torabi, S.A., An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain. Transp Res Part E: Logist Transp Rev 67 (2014), 14–38.
21. [21] Salema, M.I.G., Barbosa-Povoa, A.P., Novais, A.Q., An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty. Eur J Oper Res 179 (2007), 1063–1077.
22. [22] Vahabzadeh, A.H., Arash, A., Suhaiza, Z., Green decision-making model in reverse logistics using FUZZY-VIKOR method. Resour Conserv Recycl 103 (2015), 125–138.
23. [23] Vahdani, B., Tavakkoli-Moghaddam, R., Modarres, M., Baboli, A., Reliable design of a forward/ reverse logistics network under uncertainty: a robus t-M/M/c queuing model. Transp Res Part E 48 (2012), 1152–1168.
24. [24] Wagner, H.M., Principles of operations research. second Ed., 1975, Prentice Hall, New Jersey.
25. [25] Yu, C., Li, H., A robust optimization model for stochastic logistic problems. Int J Prod Econ 64 (2000), 385–397.
26. [26] Zhu, Q., Sarkis, J., Lai, K.H., Green supply chain management implications for closing the loop. Transp Res Part E 44 (2008), 1–18.