A case-oriented approach to a lead/acid battery closed-loop supply chain network design under risk and uncertainty

Journal of Manufacturing Systems

Volumn 37, Issue , 2015, Pages 340-361

  Subulan, Kemal ^a   Baykasoʇlu, Adil ^a   Özsoydan, Fehmi B ^a   Taşan, A Serdar ^a   Selim, Hasan ^a  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

Closed loop supply chain network design; Mixed integer programming; Possibilistic programming; Risk management; Stochastic programming

Indexed keywords

COMPUTATIONAL EFFICIENCY; DESIGN; ELECTRIC BATTERIES; HEALTH HAZARDS; INTEGER PROGRAMMING; LEAD ACID BATTERIES; RISK MANAGEMENT; RISK PERCEPTION; STOCHASTIC MODELS; STOCHASTIC PROGRAMMING; STOCHASTIC SYSTEMS; SUPPLY CHAINS; VALUE ENGINEERING;

CLOSED-LOOP SUPPLY CHAIN NETWORK DESIGNS; COMPUTATIONAL RESULTS; CONDITIONAL VALUE-AT-RISK; MIXED INTEGER PROGRAMMING; MIXED INTEGER PROGRAMMING MODEL; POSSIBILISTIC PROGRAMMING; POSSIBILITY DISTRIBUTIONS; RISK AND UNCERTAINTY;

RISK ASSESSMENT;

EID: 84953278253     PISSN: 02786125     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jmsy.2014.07.013     Document Type: Article

References (37)

1. F. You, J.M. Wassick, and I.E. Grossmann Risk management for a global supply chain planning under uncertainty: models and algorithms AIChE J 55 4 2009 931 946
2. D.D. Wu, and D.L. Olson Computational simulation and risk analysis: An introduction of state of the art research Math Comput Model 58 2013 1581 1587
3. H.F. Wang, and H.W. Hsu Resolution of an uncertain closed-loop logistics model: an application to fuzzy linear programs with risk analysis J Environ Manage 91 2010 2148 2162
4. A. Azaron, K.N. Brown, S.A. Tarim, and M. Modarres A multi-objective stochastic programming approach for supply chain design considering risk Int J Prod Econ 116 2008 129 138
5. R. Babazadeh, R. Tavakkoli-Moghaddam, and J. Razmi A complex design of the integrated forward-reverse logistics network under uncertainty Int J Ind Eng Prod Res 23 2 2012 113 123
6. B. Fahimnia, R.Z. Farahani, R. Marian, and L. Luong A review and critique on integrated production-distribution planning models and techniques J Manuf Syst 32 2013 1 19
7. M.A. Ilgin, and S.M. Gupta Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the state of the art J Environ Manage 91 2010 563 591
8. B. Bilgen Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem Expert Syst Appl 37 2010 4488 4495
9. M.I.G. Salema, A.P. Barbosa-Povoa, and A.Q. Novais An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty Eur J Oper Res 179 2007 1063 1077
10. S.L. Chung, H.M. Wee, and P.C. Yang Optimal policy for a closed-loop supply chain inventory system with remanufacturing Math Comput Model 48 2008 867 881
11. M.S. Pishvaee, F. Jolai, and J. Razmi A stochastic optimization model for integrated forward/reverse logistics network design J Manuf Syst 28 4 2009 107 114
12. S. Kara, and S. Onut A stochastic optimization approach for paper recycling reverse logistics network design under uncertainty Int J Environ Sci Technol 4 2010 717 730
13. M. El-Sayed, N. Afia, and A. El-Kharbotly A stochastic model for forward-reverse logistics network design under risk Comput Ind Eng 58 2010 423 431
14. D.H. Lee, M. Dong, and W. Bian The design of sustainable logistics network under uncertainty Int J Prod Econ 128 2010 159 166
15. M.S. Pishvaee, and S.A. Torabi A possibilistic programming approach for closed-loop supply chain network design under uncertainty Fuzzy Set Syst 161 2010 2668 2683
16. A. Hasani, S.H. Zegordi, and E. Nikbakhsh Robust closed-loop supply chain network design for perishable goods in agile manufacturing under uncertainty Int J Prod Res 50 16 2012 4649 4669
17. Q. Qiang, K. Ke, T. Anderson, and J. Dong The closed-loop supply chain network with competition, distribution channel investment, and uncertainties Omega Int J Manage Sci 41 2 2013 186 194
18. K. Subulan, A.S. Tasan, and A. Baykasoʇlu Fuzzy mixed integer programming model for medium-term planning in a closed-loop supply chain with remanufacturing option J Intel Fuzzy Syst 23 6 2012 345 368
19. E.U. Olugu, and K.Y. Wong An expert fuzzy rule-based system for closed-loop supply chain performance assessment in the automotive industry Expert Syst Appl 39 2012 375 384
20. M.S. Pishvaee, and J. Razmi Environmental supply chain network design using multi-objective fuzzy mathematical programming Appl Math Model 36 8 2012 3433 3446
21. R.T. Rockafellar, and S. Uryasev Optimization of conditional value-at-risk J Risk 2 3 2000 21 41
22. G. Guillén, F.D. Mele, M.J. Bagajewicz, A. Espuña, and L. Puigjaner Multiobjective supply chain design under uncertainty Chem Eng Sci 60 6 2005 1535 1553
23. N. Shah Pharmaceutical supply chains: key issues and strategies for optimization Comput Chem Eng 28 2004 929 941
24. A. Barbaro, and M.J. Bagajewicz Use of inventory and option contracts to hedge financial risk in planning under uncertainty AIChE J 50 5 2004 990 998
25. B.H. Gebreslassie, Y. Yao, and F. You Design under uncertainty of hydrocarbon biorefinery supply chains: multiobjective stochastic programming models, decomposition algorithm, and a comparison between CVaR and downside risk AIChE J 58 7 2012 2155 2179
26. S. Nickel, F. Saldanha-da-Gama, and H.P. Ziegler A multi-stage stochastic supply network design problem with financial decisions and risk management Omega Int J Manage Sci 40 2012 511 524
27. M. Ramezania, M. Bashiria, and R. Tavakkoli-Moghaddam A new multi-objective stochastic model for a forward/reverse logistic network design with responsiveness and quality level Appl Math Model 37 1-2 2013 328 344
28. J. Mula, R. Poler, J.P. García-Sabater, and F.C. Lario Models for production planning under uncertainty: a review Int J Prod Econ 103 1 2006 271 285
29. S. Davari, M.H.F. Zarandi, and A. Hemmati Maximal covering location problem (MCLP) with fuzzy travel times Expert Syst Appl 38 2011 14535 14541
30. M. Jimenez, M. Arenas, A. Bilbao, and M.V. Rodriguez Linear programming with fuzzy parameters: an interactive method resolution Eur J Oper Res 177 2007 1599 1609
31. M. Jimenez Ranking fuzzy numbers through the comparison of its expected intervals Int J Uncertain Fuzz 4 4 1996 379 388
32. D. Peidro, J. Mula, R. Poler, and J.L. Verdegay Fuzzy optimization for supply chain planning under supply, demand and process uncertainties Fuzzy Set Syst 160 2009 2640 2657
33. S. Ahmed, and N.V. Sahinidis Robust process planning under uncertainty Ind Eng Chem Res 37 1998 1883 1892
34. S. Uryasev Conditional Value-at-Risk: Optimization algorithms and applications Financ Eng News 14 2000
35. R.T. Rockafellar, and S. Uryasev Conditional value-at-risk for general loss distributions J Bank Financ 26 2002 1443 1471
36. D.L. Olson, and D. Wu The impact of distribution on value-at-risk measures Math Comput Model 58 2013 1670 1676
37. R. Schultz, and S. Tiedemann Conditional value-at-risk in stochastic programs with mixed-integer recourse Math Prog Ser B 105 2006 365 386