372
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Multi-objective fuzzy design of closed-loop supply chain network considering risks and environmental impact

Pages 845-873 | Received 19 Aug 2015, Accepted 26 Oct 2015, Published online: 21 Feb 2016

References

  • Azaron A, Brown KN, Tarim SA, et al. 2008. A multi-objective stochastic programming approach for supply chain design considering risk. Int J Prod Econ 116:129–38
  • Carlsson C and Fullér R. 2001. On possibilistic mean value and variance of fuzzy numbers. Fuzzy Sets Sys 122(1):315–26
  • Das K and Posinasetti NR. 2015. Addressing environmental concerns in closed loop supply chain design and planning. Inter J Prod Econ 163:34–47
  • De Giovanni P. 2014. Environmental collaboration in a closed-loop supply chain with a reverse revenue sharing contract. Ann Oper Res 220(1):135–57
  • Dubois DJ. 1980. Fuzzy Sets and Systems: Theory and Applications (Vol 144). Academic Press, New York, NY, USA
  • Fleschmann M, Beullens P, Bloemhof-Ruwaard JM, et al. 2001. The impact of product recovery on logistics network design. Prod Oper Manage 10(2):156–73
  • Gao P, Wang X, and Jing Y. 2013. Coordination and differential price of closed-loop supply chain with risk aversion. Jisuanji Yingyong Yanjiu 30(5):1427–31
  • Garg K, Kannan D, Diabat A, et al. 2015. A multi-criteria optimization approach to manage environmental issues in closed loop supply chain network design. J Cleaner Prod 100:297–314
  • Georgiadis P and Besiou M. 2010. Environmental and economical sustainability of WEEE closed-loop supply chains with recycling: A system dynamics analysis. Inter J Adv Manu Technol 47(5–8):475–93
  • Hasani A, Zegordi SH, and Nikbakhsh E. 2015. Robust closed-loop global supply chain network design under uncertainty: The case of the medical device industry. International J Prod Res 53(5):1596–624
  • Hervani AA, Helms MM, and Sarkis J. 2005. Performance measurement for green supply chain management. Benchmarking: Inter J 12(4):330–53
  • Inderfurth K. 2005. Impact of uncertainties on recovery behavior in a remanufacturing environment: A numerical analysis. Inter J Phys Distr Log Manage 35(5):318–36
  • Jayaraman V. 2006. Production planning for closed-loop supply chains with product recovery and reuse: An analytical approach. Inter J Prod Res 44(5):981–98
  • Jindal A and Sangwan KS 2014. Closed loop supply chain network design and optimisation using fuzzy mixed integer linear programming model. Inter J Prod Res 52(14): 4156–73
  • Kannan G, Noorul Haq A, and Devika M. 2009. Analysis of closed loop supply chain using genetic algorithm and particle swarm optimisation. Inter J Prod Res 47(5):1175–200
  • Kannan G, Sasikumar P, and Devika K. 2010. A genetic algorithm approach for solving a closed loop supply chain model: A case of battery recycling. Appl Math Model 34(3):655–70
  • Keskin BB, Üster H, and Çetinkaya S. 2010. Integration of strategic and tactical decisions for vendor selection under capacity constraints. Comp Oper Res 37(12):2182–91
  • Kim KB, Song IS, and Jeong BJ. 2006. Supply planning model for remanufacturing system in reverse logistics environment. Comp Industr Eng 51(2):279–87
  • Ko HJ and Evans GW. 2007. A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Comp Oper Res 34(2):346–66
  • Liang T-F and Cheng H-W. 2009. Application of fuzzy sets to manufacturing/distribution planning decisions with multiproduct and multi-time period in supply chains. Expert Sys Appl 36(2):3367–77
  • Listes O. 2007. A generic stochastic model for supply-and-return network design. Comp Oper Res 34(2): 417–42
  • Long ZW, Xia ZD, and Yu L. 2009. A study on the coordination mode for closed-loop supply chain with risk preference. In: Management Science and Engineering. ICMSE 2009. International Conference, pp 588–93. September 14-September 16. IEEE Computer Society, Piscataway, NJ, USA
  • Lu Z and Bostel N. 2007. A facility location model for logistics systems including reverse flows: The case of remanufacturing activities. Comp Oper Res 34(2):299–323
  • Meade L, Sarkis J, and Presley A. 2007. The theory and practice of reverse logistics. Int J Logist Syst Manage 3(1):56–84
  • Özceylan E and Paksoy T. 2013. Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network. International J Prod Res 51(8):2443–61
  • Özkır V and Başlıgil H. 2013. Multi-objective optimization of closed-loop supply chains in uncertain environment. J Cleaner Prod 41:114–25
  • Paksoy T, Bektas T, and Özceylan E. 2011. Operational and environmental performance measures in a multi-product closed-loop supply chain. Transp Res Pt E: Logist Trans Res 47(4):532–46
  • Paksoy T, Pehlivan NY, and Özceylan E. 2012. Fuzzy multi-objective optimization of a green supply chain network with risk management that includes environmental hazards. Hum Ecol Risk Assess 18(5):1120–51
  • Pishvaee MS, Rabbani M, and Torabi SA. 2011. A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl Math Model 35(2):637–49
  • Pishvaee MS and Torabi SA. 2010. A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets Sys 161(20):2668–83
  • Qiang QP. 2014. The closed-loop supply chain network with competition and design for remanufactureability. J Cleaner Prod 105(10):348–56
  • Ramezani M, Bashiri M, and Tavakkoli-Moghaddam R. 2013. A robust design for a closed-loop supply chain network under an uncertain environment. Inter J Adv Manu Technol 66(5–8):825–43
  • Ramezani M, Kimiagari AM, and Karimi B. 2014a. Closed-loop supply chain network design: A financial approach. Appl Math Model 38(15):4099–119
  • Ramezani M, Kimiagari AM, and Karimi B, et al. 2014b. Closed-loop supply chain network design under a fuzzy environment. Knowl-Based Sys 59:108–20
  • Saeidifar A and Pasha E. 2009. The possibilistic moments of fuzzy numbers and their applications. J Comp Appl Math 223(2):1028–42
  • Shi CD and Bian DX. 2011. Closed-loop supply chain on the theory of downside-risk based on third-party collecting. In: Control and Decision Conference (CCDC), 2011 Chinese, pp 2756–60. May 23–25. IEEE Computer Society, Piscataway, NJ, USA
  • Shi CD, Chen JH, and Zhong MY. 2009. Risk controlling and profit distributing mechanism in closed-loop supply chain on theory of downside-risk. Contr Dec 24(11):1693–6
  • Subulan K, Baykasoğlu A, Özsoydan FB, et al. 2014a. A case-oriented approach to a lead/acid battery closed-loop supply chain network design under risk and uncertainty. J Manu Syst 37(10):340–61
  • Subulan K, Taşan AS, and Baykasoğlu A. 2014b. A fuzzy goal programming model to strategic planning problem of a lead/acid battery closed-loop supply chain. J Manu Syst 37(10):243–64
  • Subulan K, Taşan AS, and Baykasoğlu A. 2015. Designing an environmentally conscious tire closed-loop supply chain network with multiple recovery options using interactive fuzzy goal programming. Appl Math Model 39(9):2661–702
  • Tseng ML, Lin RJ, Lin YH, et al. 2014. Close-loop or open hierarchical structures in green supply chain management under uncertainty. Expert Sys Appl 41(7):3250–60
  • Wang HF and Hsu HW. 2010. Resolution of an uncertain closed-loop logistics model: An application to fuzzy linear programs with risk analysis. J Environ Manage 91:2148–62
  • Wei J and Zhao J. 2011. Pricing decisions with retail competition in a fuzzy closed-loop supply chain. Expert Sys Appl 38(9):11209–16
  • Wei J and Zhao J. 2013. Reverse channel decisions for a fuzzy closed-loop supply chain. Appl Math Model 37(3):1502–13
  • Yang GF, Wang ZP, and Li XQ. 2009. The optimization of the closed-loop supply chain network. Trans Res Part E: Logist Trans Rev 45(1):16–28
  • Zhang WG, Liu YJ, Xu WJ. 2012. A possibilistic mean-semivariance-entropy model for multi-period portfolio selection with transaction costs. Euro J Oper Res 222(2):341–9
  • Zhou XC, Zhao ZX, Zhou KJ, et al. 2012. Remanufacturing closed-loop supply chain network design based on genetic particle swarm optimization algorithm. J Central South Univ 19:482–7

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.