A fuzzy multi-objective optimization model for sustainable reverse logistics network design

Ecological Indicators

Volumn 67, Issue , 2016, Pages 753-768

  Govindan, Kannan ^a   Paam, Parichehr ^b   Abtahi, Amir Reza ^b  

^a UNIVERSITY OF SOUTHERN DENMARK   (Denmark)

^b KHARAZMI UNIVERSITY   (Iran)

Author keywords

Epsilon constraint method; Fuzzy mathematical programming; Multi objective metaheuristic algorithm; Reverse logistics; Social responsibility; Sustainability

Indexed keywords

COMPETITION; ENVIRONMENTAL IMPACT; HEURISTIC METHODS; LOGISTICS; MATHEMATICAL PROGRAMMING; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); RECYCLING; SUSTAINABLE DEVELOPMENT; TRANSPORTATION; UNCERTAINTY ANALYSIS;

EPSILON-CONSTRAINT METHOD; FUZZY MATHEMATICAL PROGRAMMING; MULTI-OBJECTIVE METAHEURISTICS; REVERSE LOGISTICS; SOCIAL RESPONSIBILITIES;

MULTIOBJECTIVE OPTIMIZATION;

ALGORITHM; ENVIRONMENTAL IMPACT; ENVIRONMENTAL INDICATOR; FUZZY MATHEMATICS; HEURISTICS; MULTIOBJECTIVE PROGRAMMING; NETWORK DESIGN; NUMERICAL MODEL; OPTIMIZATION; SOCIAL IMPACT; SOCIAL ORGANIZATION; SUSTAINABILITY;

EID: 84962802496     PISSN: 1470160X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolind.2016.03.017     Document Type: Article

References (74)

1. M. Álvarez, P. Berrone, F. Husillos, and N. Lado Reverse logistics, stakeholders' influence, organizational slack and managers' posture J. Bus. Res. 60 2007 463 473
2. N. Aras, D. Aksen, and A.G. Tanugur Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles Eur. J. Oper. Res. 191 2008 23 40
3. A. Ashby, M. Leat, and M. Hudson-Smith Making connections: a review of supply chain management and sustainability literature Supply Chain Manag. 17 5 2012 497e516
4. M. Björklund, U. Martinsen, and M. Abrahamsson Performance measurements in the greening of supply chains Supply Chain Manag. 17 2012 29 39
5. M. Bouzon, K. Govindan, C.M.T. Rodriguez, and L.M.S. Campos Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP Resour. Conserv. Recycl. 2016
6. A. Chaabane, A. Ramudhin, and M. Paquet Design of sustainable supply chains under the emission trading scheme Int. J. Prod. Econ. 135 2012 37 49
7. P. Chen The investment strategies for a dynamic supply chain under stochastic demands Int. J. Prod. Econ. 139 2012 80 89
8. C.A.C. Coello, G.T. Pulido, and M.S. Lechuga Handling multiple objectives with particle swarm optimization IEEE Trans. Evol. Comput. 8 2004 256 279
9. S. Coskun, L. Ozgur, O. Polat, and A. Gungor A model proposal for green supply chain network design based on consumer segmentation J. Clean. Prod. 110 2016 149 157
10. K. Das, and A.H. Chowdhury Designing a reverse logistics network for optimal collection, recovery and quality-based product-mix planning Int. J. Prod. Econ. 135 2012 209 221
11. A. Diabat, D. Kannan, M. Kaliyan, and D. Svetinovic An optimization model for product returns using genetic algorithms and artificial immune system Resour. Conserv. Recycl. 74 2013 156 169
12. F. Du, and G.W. Evans A bi-objective reverse logistics network analysis for post-sale service Comput. Oper. Res. 35 2008 2617 2634
13. B. Fahimnia, J. Sarkis, and A. Eshragh A tradeoff model for green supply chain planning: a leanness-versus-greenness analysis Omega 54 2015 173 190
14. M. Fattahi, M. Mahootchi, K. Govindan, and S.M.M. Husseini Dynamic supply chain network design with capacity planning and multi-period pricing Transp. Res. Part E: Logist. Transp. Rev. 81 2015 169 202
15. M. Fleischmann, R. Dekker, E. Van Der Laan, J.A.E.E. Van Nunen, J.M. Bloemhof-Ruwaard, and L.N. Van Wassenhove Quantitative models for reverse logistics: a review Eur. J. Oper. Res. 103 1997 1 7
16. S. Ghayebloo, M.J. Tarokh, U. Venkatadri, and C. Diallo Developing a bi-objective model of the closed-loop supply chain network with green supplier selection and disassembly of products: the impact of parts reliability and product greenness on the recovery network J. Manuf. Syst. 36 2015 76 86
17. M. Goedkoop, and R. Spriensma The Eco-indicator 99, A damage oriented method for Life Cycle Impact Assessment. Methodology Report third ed. 2000 PRé Consultants Amersfoort, Netherlands
18. K. Govindan Green sourcing: taking steps to achieve sustainability management and conservation of resources Resour. Conserv. Recycl. 104 2015 329 333
19. K. Govindan, and T.C.E. Cheng Sustainable supply chain management: advances in operations research perspective Comput. Oper. Res. 54 2015
20. K. Govindan, A. Jafarian, and V. Nourbakhsh Bi-objective integrating sustainable order allocation and sustainable supply chain network strategic design with stochastic demand using a novel robust hybrid multi-objective metaheuristic Comput. Oper. Res. 62 2015 112 130
21. K. Govindan, S. Seuring, Q. Zhu, and S.G. Azevedo Accelerating the transition towards sustainability dynamics into supply chain relationship management and governance structures J. Clean. Prod. 112 2016 1813 1823
22. K. Govindan, R. Khodaverdi, and A. Vafadarnikjoo Intuitionistic fuzzy based DEMATEL method for developing green practices and performances in a green supply chain Expert Syst. Appl. 42 20 2015 7207 7220
23. K. Govindan, H. Soleimani, and D. Kannan Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future Eur. J. Oper. Res. 24 2015 603 626
24. J.J. Hanson, and R.W. Hitchcock Towards sustainable design for single-use medical devices 31st Annual International Conference of the IEEE EMBS Minneapolis, MN, USA, September 2-6 2009
25. I. Henriques, and P. Sadorsky The determinants of an environmentally responsive firm: an empirical approach J. Environ. Econ. Manage. 30 3 1996 381 395
26. A.A. Hervani, M.M. Helms, and J. Sarkis Performance measurement for green supply chain management Benchmarking 12 2005 330 353
27. C.L. Hwang, and A. Masud Multiple Objective Decision Making. Methods and Applications: A State of the Art Survey. Lecture Notes in Economics and Mathematical Systems 164 1979 Springer-Verlag Berlin
28. M. Jimenez Ranking fuzzy numbers through the comparison of its expected intervals Int. J. Uncertain. Fuzziness Knowl. Based Syst. 4 4 1996 379 388
29. 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
30. D. Kannan, K. Govindan, and M. Shankar India: formalize recycling of electronic waste Nature 530 7590 2016 281
31. J. Kennedy, and R.C. Eberhart Particle swarm optimization Proceedings of the IEEE International Conference on Neural Networks 1995 IEEE Service Center Piscataway, NJ 1942 1948
32. K. Khalili-Damghani, A.R. Abtahi, and M. Tavana A new multi-objective particle swarm optimization method for solving reliability redundancy allocation problems Reliab. Eng. Syst. Saf. 111 2013 58 75
33. K. Khalili-Damghani, A.R. Abtahi, and A. Ghasemi A new bi-objective location-routing problem for distribution of perishable products: evolutionary computation approach J. Math. Model. Algorithms Oper. Res. 14 3 2015 287 312
34. H. Kim, J. Yang, and K. Lee Vehicle routing in reverse logistics for recycling end-of-life consumer electronic goods in South Korea Transp. Res. Part D 14 2009 291 299
35. A.E. Korchi, and D. Millet Designing a sustainable reverse logistics channel: the 18 generic structures framework J. Clean. Prod. 19 2011 588 597
36. I. Kotzee, and B. Reyers Piloting a social-ecological index for measuring flood resilience: a composite index approach Ecol. Indic. 60 2016 45 53
37. C.K.M. Lee, and T.M. Chan Development of RFID-based reverse logistics system Expert Syst. Appl. 36 2009 9299 9307
38. C.K.M. Lee, and J.S.L. Lam Managing reverse logistics to enhance sustainability of industrial marketing Ind. Mark. Manag. 41 4 2012 589 598
39. D. Liu Network site optimization of reverse logistics for E-commerce based on genetic algorithm Neural Comput. Appl. 25 2014 67 71
40. D.A. Lopes Silva, G.W. Santos Renó, G. Sevegnani, T.B. Sevegnani, and O.M. Serra Truzzi Comparison of disposable and returnable packaging: a case study of reverse logistics in Brazil J. Clean. Prod. 47 2013 377 387
41. S.K. Mangla, P. Kumar, and M.K. Barua Risk analysis in green supply chain using fuzzy AHP approach: a case study Resour. Conserv. Recycl. 2015 10.1016/j.resconrec.2015.01.001
42. G. Mavrotas Effective implementation of the e-constraint method in multi-objective mathematical programming problems Appl. Math. Comput. 213 2009 455 465
43. H. Min, H.J. Ko, and C.S. Ko A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns Int. J. Manag. Sci. 34 2006 56 69
44. S. Minner Strategic safety stocks in reverse logistics supply chains Int. J. Prod. Econ. 71 2001 417 428
45. P.R. Murphy, and R.F. Poist Green logistics strategies: an analysis of usage patterns Transport. J. 2000 5 16
46. I.E. Nikolaou, K.I. Evangelinos, and S. Allan A reverse logistics social responsibility evaluation framework based on the triple bottom line approach J. Clean. Prod. 56 2013 173 184
47. P.F. Pai, L.C.H. Chen, and K.P. Lin A hybrid data mining model in analyzing corporate social responsibility Neural Comput. Appl. 2015 1 12
48. M.S. Pishvaee, K. Kianfar, and B. Karimi Reverse logistics network design using simulated annealing Int. J. Adv. Manuf. Technol. 47 2010 269 281
49. M.S. Pishvaee, M. Rabbani, and S.A. Torabi A robust optimization approach to closed-loop supply chain network design under uncertainty Appl. Math. Model. 35 2011 637 649
50. M.S. Pishvaee, and J. Razmi Environmental supply chain network design using multi-objective fuzzy mathematical programming Appl. Math. Model. 36 2012 3433 3446
51. M.S. Pishvaee, J. Razmi, and S.A. Torabi Robust possibilistic programming for socially responsible supply chain network design: a new approach Fuzzy Sets Syst. 206 2012 1 20
52. M. Ramezani, M. Bashiri, 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
53. T.R.P. Ramos, M.I. Gomes, and A.P. Barbosa-Póvoa Planning a sustainable reverse logistics system: balancing costs with environmental and social concerns Omega 48 2014 60 74
54. G. Rebitzer, T. Ekvall, R. Frischknecht, D. Hunkeler, G. Norris, T. Rydberg, W. Schmidt, S. Suh, B.P. Weidema, and D.W. Pennington Life cycle assessment: Part 1: Framework, goal and scope definition, inventory analysis, and applications Environ. Int. 30 5 2004 701 720
55. L. Rigamonti, I. Sterpi, and M. Grosso Integrated municipal waste management systems: an indicator to assess their environmental and economic sustainability Ecol. Indic. 60 2016 1 7
56. E. Roghanian, and P. Pazhoheshfar An optimization model for reverse logistics network under stochastic environment by using genetic algorithm J. Manuf. Syst. 33 3 2014 348 356
57. R. Rostamzadeh, K. Govindan, A. Esmaeili, and M. Sabaghi Application of fuzzy VIKOR for evaluation of green supply chain management practices Ecol. Indic. 49 2015 188 203
58. J.R. Schott Fault tolerant design using single and multi-criteria genetic algorithms optimization (Master's thesis) 1995 Department of Aeronautics and Astronautics, Massachusetts Institute of Technology Cambridge, MA
59. S. Seuring, and M. Muller From a literature review to a conceptual framework for sustainable supply chain management J. Clean. Prod. 16 2008 1699 1710
60. Y. Shi, and R. Eberhart Empirical study of particle swarm optimization Congress on Evolutionary Computation 1999 IEEE Press Piscataway, NJ 1945 1950
61. H. Soleimani, and K. Govindan A hybrid particle swarm optimization and genetic algorithm for closed-loop supply chain network design in large-scale networks Appl. Math. Model. 39 14 2015 3990 4012
62. H. Soleimani, and K. Govindan Reverse logistics network design and planning utilizing conditional value at risk Eur. J. Oper. Res. 237 2 2014 487 497 10.1016/j.ejor.2014.02.030
63. J.R. Stock Reverse Logistics 1992 Council of Logistics Management Oak Brook, IL
64. A.C. Suyabatmaz, F. Tevhide Altekin, and G. Şahin Hybrid simulation-analytical modeling approaches for the reverse logistics network design of a third-party logistics provider Comput. Ind. Eng. 70 2014 74 89
65. V. Veleva, and M. Ellenbecker Indicators of sustainable production: framework and methodology J. Clean. Prod. 9 2001 519 549
66. M. Tavana, K. Khalili-Damghani, and A.R. Abtahi A fuzzy multidimensional multiple-choice knapsack model for project portfolio selection using an evolutionary algorithm Ann. Oper. Res. 206 1 2013 449 483
67. World Health Organization (WHO) Procuring Single-Use Injection Equipment and Safety Boxes 2003
68. World Health Organization (WHO) Safe Management of Bio-medical Sharps Waste in India: A Report on Alternative Treatment and Non-Burn Disposal Practices 2005
69. X. Yu, and M. Gen Introduction to Evolutionary Algorithms 2010 London Limited: Springer-Verlag (Chapter 6)
70. L. Zadeh Fuzzy sets as a basis for a theory of possibility Fuzzy Sets Syst. 1 1978 3 28
71. S. Zhang, C.K.M. Lee, H.K. Chan, K.L. Choy, and Z. Wu Swarm intelligence applied in green logistics: a literature review Eng. Appl. Artif. Intell. 37 2015 154 169
72. W. Zhao, E. van der Voet, G. Huppes, and Y. Zhang Comparative life cycle assessments of incineration and non-incineration treatments for medical waste Int. J. Life Cycle Assess. 14 2009 114 121
73. Z. Zhou, S. Cheng, and B. Hua Supply chain optimization of continuous process industries with sustainability considerations Comput. Chem. Eng. 24 2000 1151 1158
74. E. Zitzle, L. Thiele, A.E. Eiben, T. Back, M. Schoenauer, and H.P. Schwefel Multi-objective optimization using evolutionary algorithms a comparative case study Fifth International Conference on Parallel Problem Solving from Nature (PPSN-V) Berlin, Germany 1998 292 301