Fuzzy mixed integer programming model for medium-term planning in a closed-loop supply chain with remanufacturing option

Journal of Intelligent and Fuzzy Systems

Volumn 23, Issue 6, 2012, Pages 345-368

  Subulan, Kemal ^a   Taşan, A Serdar ^a   Baykasoǧlu, Adil ^a  

^a DOKUZ EYLUL UNIVERSITY   (Turkey)

Author keywords

closed loop supply chains; fuzzy mathematical programming; remanufacturing; Tactical planning

Indexed keywords

ACCEPTANCE RATIO; CLOSED-LOOP SUPPLY CHAIN; CRISP EQUIVALENTS; FUZZY AGGREGATION; FUZZY MATHEMATICAL PROGRAMMING; FUZZY MIXED-INTEGER PROGRAMMING; LEGAL OBLIGATIONS; MANUFACTURING PLANT; MEDIUM TERM; NETWORK DESIGN PROBLEMS; NEW PRODUCT; OBJECTIVE FUNCTION VALUES; PRODUCTION ALTERNATIVES; PRODUCTION PLANNING; REMANUFACTURING; REVERSE FLOW; REVERSE LOGISTICS; SCENARIO ANALYSIS; STORAGE CAPACITY; TACTICAL PLANNING; UPPER BOUND;

ENVIRONMENTAL REGULATIONS; PRODUCTION CONTROL; SUPPLY CHAINS;

LINEAR MATRIX INEQUALITIES;

EID: 84872281165     PISSN: 10641246     EISSN: 18758967     Source Type: Journal    
DOI: 10.3233/IFS-2012-0525     Document Type: Conference Paper

References (86)

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37. B. Werners, An interactive fuzzy programming system, Fuzzy Sets and Systems 23 (1987), 131-147
38. A. Xanthopoulos and E. Lakovou, On the optimal design of the disassembly and recovery process, Waste Management 29 (2009), 1702-1711
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40. H.J. Zimmermann, Description and optimization of fuzzy systems, International Journal of General Systems 2 (1976), 209-215
41. H.J. Zimmermann, Fuzzy linear programming with several objective functions, Fuzzy Sets and Systems 1 (1978), 46-55
42. H.J. Zimmermann, Fuzzy set theory and its applications (3rd ed.), Kluwer Academic Publishers, Boston, 1996
43. J.P.S. Zuluaga and H.R. Lourenco, A recoverable production planning model, Working Paper: Department of Economics and Business, University Pompeu Fabra, 2002
44. O. Ahumada and J.R.Villalobos,Atactical model for planning the production and distribution of fresh produce, Annals of Operations Research 190(1) (2009), 339-358
45. A. Baykasoǧlu and T.Göçken,Atabu search approach to fuzzy goal programs and an application to aggregate production planning, Engineering Optimization 38(2) (2006), 155-177
46. A. Baykasoǧlu and T. Göçken, Solution of a fully fuzzy multi-item economic order quantity problem using fuzzy ranking functions, Engineering Optimization 39(8) (2007), 919- 939
47. A. Baykasoǧlu and T. Göçken, A review and classification of fuzzy mathematical programs, Journal of Intelligent and Fuzzy Systems 19(3) (2008), 205-229
48. A. Baykasoǧlu and T. Göçken, Solving fully fuzzy mathematical programming model of EOQ problem with a direct approach based on fuzzy ranking and PSO, Journal of Intelligent & Fuzzy Systems 22(5) (2011), 237-251
49. A. Baykasoǧlu and T. Göçken, A direct solution approach to fuzzy mathematical programs with fuzzy decision variables, Expert Systems with Applications 39(2) (2012), 1972-1978
50. R.E. Bellman and L.A. Zadeh, Decision making in a fuzzy environment, Management Science 17 (1970), 141-164
51. B. Bilgen, Modeling of a blending and marine transportation planning problem with fuzzy mixed-integer programming, The International Journal of Advanced Manufacturing Technology 36(9-10) (2008), 1041-1050 (Pubitemid 351431714)
52. B. Bilgen, Application of fuzzy mathematical programming approach to the production allocation and distribution supply chain network problem, Expert Systems with Applications 37(6) (2010a), 4438-4495
53. B. Bilgen, Supply chain network modeling in a golf club industry via fuzzy linear programming approach, Journal of Intelligent and Fuzzy Systems 21(4) (2010b), 243-253
54. A. Corominas, A. Lusa and J. Olivella, A manufacturing and remanufacturing aggregate planning model considering a non-linear supply function of recovered products, Production Planning and Control (2011), DOI:10.1080/ 09537287.2011.591651
55. N.O. Demirel and H. Gökçen, A mixed integer programming model for remanufacturing in reverse logistics environment, The International Journal of Advanced Manufacturing Technology 39(11-12) (2008), 1197-1206
56. A. Dolgui, J. Soldek and O. Zaikin, Supply chain optimization: Product/process design, facility location and flow control, 94, Springer, Boston, 2005
57. M. Fleischmann, Reverse logistics network structures and design, Erasmus Research Institute of Management (ERIM) Report Series, Reference No. ERS-2001-52-LIS, 2001
58. V.D.R. Guide Jr, Production planning and control for remanufacturing: Industry practice and research needs, Journal of Operations Management 18 (2000), 467-483
59. S.M. Guu and Y.K. Wu, Weighted coefficients in two-phase approach for solving the multiple objective programming problems, Fuzzy Sets and Systems 85(1) (1997), 45-48
60. S. Karmakar and P.P. Mujumdar, A two-phase grey fuzzy optimization approach for water quality management of a river system, Advances in Water Resources 30(5) (2007), 1218-1235 (Pubitemid 46323435)
61. O. Kaynak, L.A. Zadeh, B. Türkşen and I. Rudas, Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications, NATO ASI Series F, Computer and systems sciences, Springer-Verlag, 1998
62. K. Kim, I. Song, J. Kim and B. Jeong, Supply planning model for remanufacturing system in reverse logistics environment, Computers and Industrial Engineering 51 (2006), 279-287 (Pubitemid 44573586)
63. S. Kreipl and M. Pinedo, Planning and scheduling in supply chains: An overview of issues in practice, Production and Operations Management 13(1) (2004), 77-92 (Pubitemid 39374561)
64. V. Jayaraman, Production planning for closed-loop supply chains with product recovery and reuse: Analytical approach, International Journal of Production Research 44(5) (2006), 981-998 (Pubitemid 43245742)
65. R.J. Li, Multiple objective decision making in a fuzzy environment, Ph.D. Thesis, Department of Industrial Engineering, Kansas State University, Manhattan, US, 1990
66. I. Mahdavi, B. Javadi, N. Sahebjamnia and N.M. Amiri, A two-phase linear programming methodology for fuzzy multi-objective mixed-model assembly line problem, The International Journal of Advanced Manufacturing Technology 44(9-10) (2009), 1010-1023
67. W.A. Miller, L.C. Leung, T.M. Azhar and S. Sargent, Fuzzy production planning model for fresh tomato packing, International Journal of Production Economics 53 (1997), 227-238 (Pubitemid 127413077)
68. S. Nukala and S.M. Gupta, Strategic and tactical planning of a closed-loop supply chain network under uncertainty, Proceedings of the SPIE international conference on environmentally conscious manufacturing VI (2006), 157-164
69. M. Pinedo, Planning and scheduling in manufacturing and services, Springer, New York, 2005
70. K.K. Pochampally, S. Nukala and S.M. Gupta, Strategic planning models for reverse and closed-loop supply chains, CRC Press, Boca Raton, Florida, 2009
71. M.I.G. Salema, A.P.B. Povoa and A.Q. Novais, An optimization model for design of a capacitated multi-product reverse logistics network with uncertainty, European Journal of Operations Research 179 (2007), 1063-1077 (Pubitemid 46043529)
72. M.I.G. Salema, A.P.B. Povoa and A.Q. Novais, A strategic and tactical model for closed-loop supply chains, OR Spectrum 31 (2009), 573-599
73. M.I.G. Salema, A.P. Barbosa-Povoa and A.Q. Novais, Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework, European Journal of Operational Research 203 (2010), 336-349
74. P. Sasikumar, G. Kannan and A.N. Haq, A multi-echelon reverse logistics network design for product recovery - a case of truck tire remanufacturing, The International Journal of Advanced Manufacturing Technology 49 (2010), 1223-1234
75. J. Shi, G. Zhang and J. Sha, Optimal production planning for a multi-product closed loop system with uncertain demand and return, Computers & Operations Research 38 (2011), 641-650
76. K. Subulan and A.S. Tasan, A reverse logistics network design model for lead/acid battery recycling, Proceedings of the 16th Annual Logistics Research Network Conference, UK 2011
77. F. Tiryaki, Interactive compensatory fuzzy programming for decentralized multi level linear programming (DMLLP) problems, Fuzzy Sets and Systems 157 (2006), 3072-3090 (Pubitemid 44634019)
78. R.N. Tiwari, S. Dharmar and J.R. Rao, Fuzzy goal programming - an additive model, Fuzzy Sets and Systems 24 (1987), 27-34 (Pubitemid 18544505)
79. S. Topaloǧu and H. Selim, Nurse scheduling using fuzzy modeling approach, Fuzzy Sets and Systems 161 (2010), 1543-1563
80. B. Werners, An interactive fuzzy programming system, Fuzzy Sets and Systems 23 (1987), 131-147
81. A. Xanthopoulos and E. Lakovou, On the optimal design of the disassembly and recovery process, Waste Management 29 (2009), 1702-1711
82. J. Zhang and X. Liu, A capacitated production planning problem for closed-loop supply chain,LNCS6146, Springer-Verlag Berlin Heidelberg, 2010, 243-251
83. H.J. Zimmermann, Description and optimization of fuzzy systems, International Journal of General Systems 2 (1976), 209-215
84. H.J. Zimmermann, Fuzzy linear programming with several objective functions, Fuzzy Sets and Systems 1 (1978), 46-55
85. H.J. Zimmermann, Fuzzy set theory and its applications (3rd ed.), Kluwer Academic Publishers, Boston, 1996
86. J.P.S. Zuluaga and H.R. Lourenco, A recoverable production planning model, Working Paper: Department of Economics and Business, University Pompeu Fabra, 2002