Incorporating location, routing, and inventory decisions in a bi-objective supply chain design problem with risk-pooling

Journal of Industrial Engineering International

Volumn 9, Issue 1, 2013, Pages

  Tavakkoli Moghaddam, Reza ^a   Forouzanfar, Fateme ^b   Ebrahimnejad, Sadoullah ^c  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c ISLAMIC AZAD UNIVERSITY   (Iran)

Author keywords

Capacity levels; Inventory control; Risk pooling; Stochastic supply chain; Uncertainty

Indexed keywords

EID: 85013975409     PISSN: 17355702     EISSN: 2251712X     Source Type: Journal    
DOI: 10.1186/2251-712X-9-19     Document Type: Article

References (19)

1. Ahmadi Javid A, Azad N: Incorporating location, routing and inventory decisions in supply chain network design. Transport Res E Logist Transport Rev 2010, 46: 582–597. 10.1016/j.tre.2009.06.005
2. Bettinelli A, Ceselli A, Righini G: A branch-and-cut-and-price algorithm for the multi-depot heterogeneous vehicle routing problem with time windows. Transport Res C Emerg Tech 2011, 19: 723–740. 10.1016/j.trc.2010.07.008
3. Cardona-Valdés Y, Álvarez A, Ozdemir D: A bi-objective supply chain design problem with uncertainty. Transport Res C Emerg Tech 2011,19(5):821–832. 10.1016/j.trc.2010.04.003
4. Daskin M, Coullard C, Shen ZJ: An inventory–location model: formulation, solution algorithm and computational results. Ann Oper Res 2002, 110: 83–106. 10.1023/A:1020763400324
5. Day JM, Wright PD, Schoenherr T, Venkataramanan M, Gaudette K: Improving routing and scheduling decisions at a distributor of industrial gasses. Omega 2009, 37: 227–237. 10.1016/j.omega.2006.11.007
6. Dullaert W, Braysy O, Goetschalckx M, Raa B: Supply chain (re)design: support for managerial and policy decisions. Eur J Transport Infrastruct Res 2007,7(2):73–91.
7. Francis RL Jr, McGinnis LF, White JA: Facility layout and location: an analytical approach. 2nd edition. Englewood Cliffs: Prentice-Hall; 1992.
8. Gong D, Gen M, Yamazaki G, Xu W: Hybrid evolutionary method for capacitated location-allocation problem. Comput Ind Eng 1997, 33: 577–580. 10.1016/S0360-8352(97)00197-6
9. Gupta A, Maranas CD, McDonald CM: Mid-term supply chain planning under demand uncertainty: customer demand satisfaction and inventory management. Comput Chem Eng 2000, 24: 2613–2621. 10.1016/S0098-1354(00)00617-7
10. Liao CJ, Lin Y, Shih SC: Vehicle routing with cross-docking in the supply chain. Expert Syst Appl 2010, 37: 6868–6873. 10.1016/j.eswa.2010.03.035
11. Marinakis Y, Marinaki M: A hybrid genetic-particle swarm optimization algorithm for the vehicle routing problem. Expert Syst Appl 2010, 37: 1446–1455. 10.1016/j.eswa.2009.06.085
12. Min H, Jayaraman V, Srivastava R: Combined location–routing problems: a synthesis and future research directions. Eur J Oper Res 1998, 108: 1–15. 10.1016/S0377-2217(97)00172-0
13. Nagy G, Salhi S: Location–routing, issues, models, and methods: a review. Eur J Oper Res 2007, 117: 649–672.
14. Oppen J, Loketangen A: A tabu search approach for the livestock collection problem. Comput Oper Res 2008, 35: 3213–3229. 10.1016/j.cor.2007.02.021
15. Paksoy T, Chang C-T: Revised multi-choice goal programming for multi-period, multi-stage inventory controlled supply chain model with popup stores in guerrilla marketing. Appl Math Model 2010, 34: 3586–3598. 10.1016/j.apm.2010.03.008
16. Park S, Lee T-E, Sup Sung C: A three-level supply chain network design model with risk-pooling and lead times. Transport Res E Logist Transport Rev 2010, 46: 563–581. 10.1016/j.tre.2009.12.004
17. Shen ZJ: A multi-commodity supply chain design problem. IIE Transactions 2005, 37: 753–762. 10.1080/07408170590961120
18. Yu Y, Chen H, Chu F: A new model and hybrid approach for large scale inventory routing problems. Eur J Oper Res 2008, 189: 1022–1040. 10.1016/j.ejor.2007.02.061
19. Zhao Q, Chen S, Zhang C: Model and algorithm for inventory/routing decision in a three-echelon logistics system. Eur J Oper Res 2008, 191: 623–635. 10.1016/j.ejor.2006.12.056