Reliable design of a logistics network under uncertainty: A fuzzy possibilistic-queuing model

Applied Mathematical Modelling

Volumn 37, Issue 5, 2013, Pages 3254-3268

  Vahdani, Behnam ^a   Tavakkoli Moghaddam, Reza ^a   Jolai, Fariborz ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Bidirectional facilities; Fuzzy possibilistic programming; Logistics networks; Network design; Queuing theory; Reliability

Indexed keywords

BI-DIRECTIONAL; BIOBJECTIVE MODEL; COMPUTATIONAL EXPERIMENT; LOGISTICS NETWORK; MULTIOBJECTIVE PROGRAMMING; NETWORK DESIGN; POSSIBILISTIC PROGRAMMING; QUEUING THEORY; RELIABILITY APPROACH; SOLUTION APPROACH; TRANSPORTATION COST;

DESIGN; QUEUEING THEORY; RELIABILITY;

TRANSPORTATION;

EID: 84872487401     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2012.07.021     Document Type: Article

References (32)

1. 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. 2010, 34:655-670.
2. Sahyouni K.M. Product Lifecycle Considerations in Closed-loop Supply Chain Management 2007, Northwestern University.
3. Huang X.Y., Yan N.-N., Qiu R.-Z. Dynamic models of closed-loop supply chain and robust H∞ control strategies. Int. J. Product. Res. 2009, 47(9):2279-2300.
4. Jayaraman V., Patterson R.A., Rolland E. The design of reverse distribution networks: models and solution procedures. Euro. J. Oper. Res. 2003, 150:128-149.
5. Guide V.D.R., Jayaraman V., Srivastava R., Benton W.C. Supply-chain management for recoverable manufacturing systems. Interfaces 2000, 30(3):125-142.
6. Fleischmann M., Bloemhof-Ruwaard J.M., Beullens P., Dekker R. Reverse logistics network design. Reverse Logistics: Quantitative Models for Closed-Loop Supply Chains 2004, 65-94. Springer, Berlin. R. Dekker, M. Fleischmann, K. Inderfurth, L.N. VanWassenhove (Eds.).
7. Klibi W., Martel A., Guitouni A. The design of robust value-creating supply chain networks: a critical review. Euro. J. Oper. Res. 2010, 203:283-293.
8. Vahdani B., Razmi J., Tavakkoli-Moghaddam R. Fuzzy possibilistic modeling for closed loop recycling collection networks. Environment. Model. Assess. 2012, http://dx.doi.org/10.1007/s10666-012-9313-7.
9. Lee D.H., Dong M. A heuristic approach to logistics network design for end-of-lease computer products recovery. Transport. Res. Part E: Logist. Transport. Rev. 2008, 44:455-474.
10. Lee D.H., Dong M., Bian W. The design of sustainable logistics network under uncertainty. Int. J. Product. Econom. 2010, 128:159-166.
11. H. Zerhouni, J.P. Gayon, Y. Frein, Influence of dependency between demands and returns in a reverse logistics system, Int. J. Product. Econom. in press.
12. Kenné J.P., Dejax P., Gharbi A. Production planning of a hybrid manufacturing-remanufacturing system under uncertainty within a closed-loop supply chain. Int. J. Product. Econom. 2012, 135(1):81-93.
13. Pishvaee M.S., Rabbani M., Torabi S.A. A robust optimization approach to closed-loop supply chain network design under uncertainty. Appl. Math. Model. 2011, 35:637-649.
14. T. Spengler, Management of material flows in closed-loop supply chains, hicss, in: 36th Annual Hawaii International Conference on System Sciences (HICSS'03), vol. 3, 2003, pp. 81b.
15. Beamon B.M., Fernandes C. Supply chain network configuration for product recovery. Product. Plan. Control 2004, 15(3):270-281.
16. Sheu J.-B., Chou Y.-H., Hu C.-C. An integrated logistics operational model for green-supply chain management. Transport. Res. Part E 2005, 41:287-313.
17. Listes O. A generic stochastic model for supply-and-return network design. Comput. Oper. Res. 2007, 34:417-442.
18. Ko H.J., Evans G.W. A genetic algorithm-based heuristic for the dynamic integrated forward/reverse logistics network for 3PLs. Comput. Oper. Res. 2007, 34:346-366.
19. Lee J.E., Gen M., Rhee K.G. Network model and optimization of reverse logistics by hybrid genetic algorithm. Comput. Indust. Eng. 2009, 56(3):951-964.
20. Wang H.F., Hsu H.W. A closed-loop logistic model with a spanning-tree based genetic algorithm. Comput. Oper. Res. 2010, 37(2):376-389.
21. Pishvaee M.S., Farahani R.Z., Dullaert W. A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Comput. Oper. Res. 2010, 37(6):1100-1112.
22. Shi J., Zhang G., Sha J. Optimal production planning for a multi-product closed loop system with uncertain demand and return. Comput. Oper. Res. 2011, 38(3)::641-650.
23. 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. Transport. Res. Part E 2012, 48:1152-1168.
24. Van den Brink J. The Tanzanian scrap recycling cycle. Technovation 2002, 22:187-197.
25. Snyder L.V., Daskin M.S. Reliability models for facility location: the expected failure cost case. Transport. Sci. 2005, 39(3):400-416.
26. Torabi S.A., Hassini E. An interactive possibilistic programming approach for multiple objective supply chain master planning. Fuzzy Sets Syst. 2008, 159:193-214.
27. Marianov V., Serra D. Location models for airline hubs behaving as M/D/c queues. Comput. Oper. Res. 2003, 30:983-1003.
28. Mohammadi M., Jolai F., Rostami H. An M/M/c queue model for hub covering location problem. Math. Comput. Model. 2011, 54:2623-2638.
29. Pishvaee M.S., Torabi S.A. A possibilistic programming approach for closed-loop supply chain network design under uncertainty. Fuzzy Sets Syst. 2010, 161:2668-2683.
30. Jimenez M., Arenas M., Bilbao A., Rodriguez M.V. Linear programming with fuzzy parameters: an interactive method resolution. Euro. J. Oper. Res. 2007, 177:1599-1609.
31. Wang J., Shu Y.F. A possibilistic decision model for new product supply chain design. Euro. J. Oper. Res. 2007, 177:1044-1061.
32. Lai Y.J., Hwang C.L. A new approach to some possibilistic linear programming problems. Fuzzy Sets Syst. 1992, 49:121-133.