Green and reverse logistics management under fuzziness

Studies in Fuzziness and Soft Computing

Volumn 313, Issue , 2014, Pages 607-637

  Mousazadeh, Mohammad ^a   Torabi, S Ali ^a   Pishvaee, Mir Saman ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Fuzzy mathematical programming; Green logistics; Green supply chain management; Reverse logistics

Indexed keywords

EID: 84958545592     PISSN: 14349922     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-53939-8_26     Document Type: Article

References (98)

1. Abdallah, T., Farhat, A., Diabat, A., Kennedy, S.: Green supply chains with carbon trading and environmental sourcing: Formulation and life cycle assessment. Appl. Math. Model. 36(9), 4271-4285 (2011)
2. Akman, G., Pişkin, H.: Evaluating green performance of suppliers via analytic network process and TOPSIS. J. Ind. Eng. (2013). doi: 10.1155/2013/915241
3. Bai, C., Sarkis, J.: Integrating sustainability into supplier selection with grey system and rough set methodologies. Int. J. Prod. Econ. 124(1), 252-264 (2010)
4. Barros, A., Dekker, R., Scholten, V.: A two-level network for recycling sand: a case study. Eur. J. Oper. Res. 110(2), 199-214 (1998)
5. Beamon, B.M.: Designing the green supply chain. Logistics Inf. Manag. 12(4), 332-342 (1999)
6. Bellman, R.E., Zadeh, L.A.: Decision-making in a fuzzy environment. Manag. Sci. 17(4), B-141- B-164 (1970)
7. Ben-Tal, A., El Ghaoui, L., Nemirovski, A.: Robust optimization. Princeton University Press, Princeton (2009)
8. Ben-Tal, A., Nemirovski, A.: Robust convex optimization. Math. Oper. Res. 23(4), 769-805 (1998)
9. Bertsimas, D., Sim, M.: The price of robustness. Oper. Res. 52(1), 35-53 (2004)
10. Beyer, H.G., Sendhoff, B.: Robust optimization-a comprehensive survey. Comput. Methods Appl. Mech. Eng. 196, 3190-3218 (2007)
11. Birge, J.R., Louveaux, F.: Introduction to stochastic programming. Springer, New York (1997)
12. Büyüközkan, G.: An integrated fuzzy multi-criteria group decision-making approach for green supplier evaluation. Int. J. Prod. Res. 50(11), 2892-2909 (2012)
13. Cardoso, S.R, Barbosa-Póvoa, A.P.F.D., Relvas, S.: Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty. Eur. J. Oper. Res. 226 (3), 436-451 (2013)
14. Carter, C.R., Kale, R., Grimm, C.M.: Environmental purchasing and firm performance: an empirical investigation. Transp. Res. Part E: Logistics and Transp. Rev. 36(3), 219-228 (2000)
15. Chaabane, A., Ramudhin, A., Paquet, M.: Design of sustainable supply chains under the emission trading scheme. Int. J. Prod. Econ. 135(1), 37-49 (2012)
16. Cruz, J., Matsypura, D.: Supply chain networks with corporate social responsibility through integrated environmental decision-making. Int. J. Prod. Res. 47(3), 621-648 (2009)
17. Davis, T.: Effective supply chain management. Sloan Manag. Rev. 34, 35-46 (1993)
18. De Brito, M., Dekker, R.: A framework for reverse logistics. Springer Berlin Heidelberg. 3-27 (2004)
19. Dhouib, D.: An extension of Macbeth method for a fuzzy environment to analyze alternatives in reverse logistics for automobile tire wastes. Omega 42(1), 25-32 (2013)
20. Dubois, D., Fargier, H., Fortemps, P.: Fuzzy scheduling: modelling flexible constraints vs. coping with incomplete knowledge. Eur. J. Oper. Res. 147(2), 231-252 (2003)
21. Elkington, J.: Towards the suitable corporation: win-win-win business strategies for sustainable development. Calif. Manag. Rev. 36(2), 90-100 (1994)
22. Erol, I., Sencer, S., Sari, R.: A new fuzzy multi-criteria framework for measuring sustainability performance of a supply chain. Ecol. Econ. 70(6), 1088-1100 (2011)
23. Fiksel, J.R.: Design for environment: creating eco-efficient products and processes. McGraw-Hill, New York (1996)
24. Fleischmann, M., Bloemhof-Ruwaard, J.M., Dekker, R., Van Der Laan, E., Van Nunen, J.A.E.E., Van Wassenhove, L.N.: Quantitative models for reverse logistics: A review. Eur. J. Oper. Res. 103(1), 1-17 (1997)
25. Goedkoop, M., Spriensma, R.: The Eco-indicator 99, A damage oriented method for Life Cycle Impact Assessment: Methodology Report. 3nd edn. PRé Consultants, Amersfoort, Netherlands (2000)
26. Gonzalez-Benito, J., Gonzalez-Benito, O.: The role of stakeholder pressure and managerial values in the implementation of environmental logistics practices. Int. J. Prod. Res. 44(7), 1353-1373 (2006)
27. Govindan, K., Sarkis, J., Palaniappan, M.: An analytic network process-based multicriteria decision making model for a reverse supply chain. Int. J. Adv. Manufact. Technol. 68(1-4), 863-880 (2013)
28. Günther, E., Scheibe, L.: The hurdle analysis. A self-evaluation tool for municipalities to identify, analyse and overcome hurdles to green procurement. Corp. Soc. Responsib. Environ. Manag. 13(2), 61-77 (2006)
29. Ho, C.: Evaluating the impact of operating environments on MRP system nervousness. Int. J. Prod. Res. 27, 1115-1135 (1989)
30. Ilgin, M.A., Gupta, S.M.: Environmentally conscious manufacturing and product recovery (ECMPRO): a review of the state of the art. J. Environ. Manag. 91(3), 563-591 (2010)
31. Inuiguchi, M., Ramík, J.: Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy Sets Syst. 111(1), 3-28 (2000)
32. Inuiguchi, M., Sakawa, M.: Robust optimization under softness in a fuzzy linear programming problem. Int. J. Approximate Reasoning 18(1), 21-34 (1998)
33. Jamshidi, R., Fatemi Ghomi, S., Karimi, B.: Multi-objective green supply chain optimization with a new hybrid memetic algorithm using the Taguchi method. Scientia Iranica 19(6), 1876-1886 (2012)
34. Jayaraman, V., Guide Jr, V., Srivastava, R.: A closed-loop logistics model for remanufacturing. J. Oper. Res. Soc. 50(5), 497-508 (1999)
35. Jimenez, M., Arenas, M., Bilbao, A., Rodriguez, M.V.: Linear programming with fuzzy parameters: an interactive method resolution. Eur. J. Oper. Res. 177, 1599-1609 (2007)
36. Kannan, D., Khodaverdi, R., Olfat, L., Jafarian, A., Diabat, A.: Integrated fuzzy multi criteria decision making method and multi-objective programming approach for supplier selection and order allocation in a green supply chain. J. Cleaner Prod. 47, 355-367 (2013)
37. Kannan, G., Pokharel, S., Sasi Kumar, P.: A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider. Resour. Conserv. Recycl. 54(1), 28-36 (2009)
38. Kannan, G., Sasikumar, P., Devika, K.: A genetic algorithm approach for solving a closed loop supply chain model: a case of battery recycling. Appl. Math. Model. 34(3), 655-670 (2010)
39. Klibi, W., Martel, A., Guitouni, A.: The design of robust value-creating supply chain networks: a critical review. Eur. J. Oper. Res. 203, 283-293 (2010)
40. Kovacs, G.: Framing a demand network for sustainability. Prog. Ind. Ecol. Int. J. 1(4), 397-410 (2004)
41. Kroon, L., Vrijens, G.: Returnable containers: an example of reverse logistics. Int. J. Phys. Distrib. Logistics Manag. 25(2), 56-68 (1995)
42. Lamming, R., Hampson, J.: The environment as a supply chain management issue. Br. J. Manag. 7(s1), S45-S62 (2005)
43. Lin, R.-J.: Using fuzzy DEMATEL to evaluate the green supply chain management practices. J. Cleaner Prod. 40, 32-39 (2013)
44. Linton, J.D., Klassen, R., Jayaraman, V.: Sustainable supply chains: An introduction. J. Oper. Manag. 25(6), 1075-1082 (2007)
45. Liu, B.: Dependent-chance programming with fuzzy decisions. IEEE Trans. Fuzzy Syst. 7(3), 354-360 (1999)
46. Liu, B., Iwamura, K.: Chance constrained programming with fuzzy parameters. Fuzzy Sets Syst. 94(2), 227-237 (1998)
47. Liu, B., Liu, Y.K.: Expected value of fuzzy variable and fuzzy expected value models. IEEE Trans. Fuzzy Syst. 10(4), 445-450 (2002)
48. Mele, F.D., Guillén-Gosálbez, G., Jiménez, L., Bandoni, A.: Optimal Planning of the Sustainable Supply Chain for Sugar and Bioethanol Production. Comput. Aided Chem. Eng. 27, 597-602 (2009)
49. Min, H., Galle, W.P.: Green purchasing strategies: trends and implications. J. Supply Chain Manag. 33(3), 10-17 (1997)
50. Mula, J., Poler, R., Garcia, J.: MRP with flexible constraints: A fuzzy mathematical programming approach. Fuzzy Sets Syst. 157(1), 74-97 (2006)
51. Mula, J., Polera, R., Garcia-Sabaterb, J.P.: Material Requirement Planning with fuzzy constraints and fuzzy coefficients. Fuzzy Sets Syst. 158, 783-793 (2007)
52. Mulvey, J.M., Vanderbei, R.J., Zenios, S.A.: Robust optimization of large-scale systems. Oper. Res. 43(2), 264-281 (1995)
53. Murphy, P.R., Poist, R.F.: Green logistics strategies: an analysis of usage patterns. Transp. J. 40(2), 5-16 (2000)
54. Özceylan, E., Paksoy, T.: Fuzzy multi-objective linear programming approach for optimising a closed-loop supply chain network. Int. J. Prod. Res. 51(8), 2443-2461 (2013). doi:10.1080/00207543.2012.740579
55. Parra, M.A., Terol, A.B., Gladish, B.P., Rodriguez Uria, M.V.: Solving a multiobjective possibilistic problem through compromise programming. Eur. J. Oper. Res. 164, 748-759 (2005)
56. Pati, R.K., Vrat, P., Kumar, P.: A goal programming model for paper recycling system. Omega 36(3), 405-417 (2008)
57. Pinto-Varela, T., Barbosa-Póvoa, A.P.F.D., Novais, A.Q.: Bi-objective optimization approach to the design and planning of supply chains: economic versus environmental performances. Comput. Chem. Eng. 35(8), 1454-1468 (2011)
58. Pishvaee, M., Razmi, J., Torabi, S.: Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy Sets Syst. 206, 1-20 (2012a)
59. Pishvaee, M., Torabi, S.: A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets Syst. 161(20), 2668-2683 (2010)
60. Pishvaee, M., Torabi, S., Razmi, J.: Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty. Comput. Ind. Eng. 62, 624-632 (2012b)
61. Pishvaee, M.S., Farahani, R.Z., Dullaert, W.: A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Comput. Oper. Res. 37(6), 1100-1112 (2010a)
62. Pishvaee, M.S., Jolai, F., Razmi, J.: A stochastic optimization model for integrated forward/ reverse logistics network design. J. Manufact. Syst. 28(4), 107-114 (2009)
63. Pishvaee, M.S., Kianfar, K., Karimi, B.: Reverse logistics network design using simulated annealing. Int. J. Adv. Manufact. Technol. 47(1), 269-281 (2010b)
64. 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(2), 637-649 (2011)
65. Pishvaee, M.S., Razmi, J.: Environmental supply chain network design using multi-objective fuzzy mathematical programming. Appl. Math. Model. 36(8), 3433-3446 (2012)
66. Porter, M.E., Van der Linde, C.: Green and competitive: ending the stalemate. Harvard Bus. Rev. 73(5), 120-134 (1995a)
67. Porter, M.E., Van der Linde, C.: Toward a new conception of the environment-competitiveness relationship. J. Econ. Perspect. 9(4), 97-118 (1995b)
68. Qin, Z., Ji, X.: Logistics network design for product recovery in fuzzy environment. Eur. J. Oper. Res. 202(2), 479-490 (2010)
69. Ravi, V.: Selection of third-party reverse logistics providers for End-of-Life computers using TOPSIS-AHP based approach. Int. J. Logistics Syst. Manag. 11(1), 24-37 (2012)
70. Rogers, D.S., Tibben-Lembke, R.S., Council RLE: Going Backwards: Reverse Logistics Trends and Practices, vol. 2. Reverse Logistics Executive Council, Pittsburgh (1999)
71. Sahinidis, N.V.: Optimization under uncertainty: state-of-the-art and opportunities. Comput. Chem. Eng. 28(6), 971-983 (2004)
72. Sarkis, J., Zhu, Q., Lai, K.: An organizational theoretic review of green supply chain management literature. Int. J. Prod. Econ. 130(1), 1-15 (2011)
73. Sbihi, A., Eglese, R.W.: Combinatorial optimization and green logistics. 4OR: Q. J. Oper. Res. 5(2), 99-116 (2007)
74. Selim, H., Ozkarahan, I.: A supply chain distribution network design model: an interactive fuzzy goal programming-based solution approach. Int. J. Adv. Manufact. Technol. 36, 401-418 (2008)
75. Sharfman, M.P., Shaft, T.M., Anex Jr, R.P.: The road to cooperative supply-chain environmental management: trust and uncertainty among pro-active firms. Bus. Strategy Environ. 18(1), 1-13 (2009)
76. Shen, L., Olfat, L., Govindan, K., Khodaverdi, R., Diabat, A.: A fuzzy multi criteria approach for evaluating green supplier?s performance in green supply chain with linguistic preferences. Resour. Conserv. Recycl. 74, 170-179 (2013)
77. Souza, G.C.: Closed-loop supply chains: a critical review, and future research. Decision Sciences. 44(1), 7-38 (2013). doi:10.1111/j.1540-5915.2012. 00394.x
78. Soyster, A.L.: Technical Note-Convex Programming with Set-Inclusive Constraints and Applications to Inexact Linear Programming. Oper. Res. 21(5), 1154-1157 (1973)
79. Srivastava, S.K.: Green supply-chain management: a state-of-the-art literature review. Int. J. Manag. Rev. 9(1), 53-80 (2007)
80. Tang, C.S.: Perspectives in supply chain risk management. Int. J. Prod. Econ. 103, 451-488 (2006)
81. Torabi, S., Ebadian, M., Tanha, R.: Fuzzy hierarchical production planning (with a case study). Fuzzy Sets Syst. 161(11), 1511-1529 (2010)
82. Torabi, S., Hassini, E.: An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets Syst. 159(2), 193-214 (2008)
83. Tsai, W.H., Hung, S.J.: A fuzzy goal programming approach for green supply chain optimisation under activity-based costing and performance evaluation with a value-chain structure. Int. J. Prod. Res. 47(18), 4991-5017 (2009)
84. Ubeda, S., Arcelus, F., Faulin, J.: Green logistics at Eroski: A case study. Int. J. Prod. Econ. 131(1), 44-51 (2011)
85. Vahdani, B., Tavakkoli-Moghaddam, R., Modarres, M., Baboli, A.: Reliable design of a forward/ reverse logistics network under uncertainty: A robust-M/M/c queuing model. Transp. Res. Part E: Logistics Transp. Rev. 48(6), 1152-1168 (2012)
86. Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F.: Reliable design of a logistics network under uncertainty: A fuzzy possibilistic-queuing model. Appl. Math. Model. 37(5), 3254-3268 (2013a)
87. Vahdani, B., Tavakkoli-Moghaddam, R., Jolai, F., Baboli, A.: Reliable design of a closed loop supply chain network under uncertainty: An interval fuzzy possibilistic chance-constrained model. Eng Optimiz. 45(6), 745-765 (2013b)
88. Van Hoek, R.I.: From reversed logistics to green supply chains. Supply Chain Manag. Int. J. 4(3), 129-135 (1999)
89. Wadhwa, S., Madaan, J., Chan, F.: Flexible decision modeling of reverse logistics system: a value adding MCDM approach for alternative selection. Robot. Comput.-Integr. Manufact. 25(2), 460-469 (2009)
90. Wang, B., Sun, L.: A review of reverse logistics. Appl. Sci. 7(1), 16-29 (2005)
91. Wang, F., Lai, X., Shi, N.: A multi-objective optimization for green supply chain network design. Decis. Support Syst. 51(2), 262-269 (2011)
92. Wang, H.-F., Hsu, H.-W.: Resolution of an uncertain closed-loop logistics model: An application to fuzzy linear programs with risk analysis. J. Environ. Manag. 91(11), 2148-2162 (2010). doi:http://dx.doi.org/10.1016/j.jenvman.2010. 05.009
93. WHO (World Health Organization) Safe Management of Bio-medical Sharps Waste in India: A Report on Alternative Treatment and Non-Burn Disposal Practices (2005)
94. Young, A., Kielkiewicz-Young, A.: Sustainable supply network management. Corp. Environ. Strategy 8(3), 260-268 (2001)
95. Zhang, Y.M., Huang, G.H., He, L.: An inexact reverse logistics model for municipal solid waste management systems. J. Environ. Manag. 92(3), 522-530 (2011)
96. Zhu, H., Zhang, J.: A credibility-based fuzzy programming model for APP problem. Paper presented at the internatioal conference on artificial intelligence and computational intelligence, 2009
97. Zhu, Q., Sarkis, J.: Relationships between operational practices and performance among early adopters of green supply chain management practices in Chinese manufacturing enterprises. J. Oper. Manag. 22(3), 265-289 (2004)
98. Zsidisin, G.A., Siferd, S.P.: Environmental purchasing: a framework for theory development. Eur. J. Purchasing and Supply Manag. 7(1), 61-73 (2001)