Design of a reliable logistics network with hub disruption under uncertainty

Applied Mathematical Modelling

Volumn 40, Issue 9-10, 2016, Pages 5621-5642

  Mohammadi, Mehrdad ^a,b,c   Tavakkoli Moghaddam, Reza ^a   Siadat, Ali ^b   Dantan, Jean Yves ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b Paul Verlaine University of Metz   (France)

^c ECOLE DES MINES DE SAINT ETIENNE   (France)

Author keywords

Hub location problem; Reliable logistics network; Robust optimization; Scenario based optimization; Self adaptive imperialist competitive algorithm

Indexed keywords

ALGORITHMS; HEURISTIC ALGORITHMS; INTEGER PROGRAMMING; LOGISTICS; TRANSPORTATION;

HUB LOCATION PROBLEMS; IMPERIALIST COMPETITIVE ALGORITHMS; LOGISTICS NETWORK; ROBUST OPTIMIZATION; SCENARIO-BASED;

OPTIMIZATION;

EID: 84977934926     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2016.01.011     Document Type: Article

References (44)

1. Cui T., Ouyang Y., Shen Z.J.M. Reliable facility location design under the risk of disruptions. Oper. Res. 2010, 58(4):998-1011.
2. Peng P., Snyder L.V., Liu Z., Lim A. Design of reliable logistics networks with facility disruptions. Transp. Res. Part B Methodol. 2011, 45:1190-1211.
3. Tansel B.C., Francis R.L., Lowe T.J. Location on networks: a survey. Part I: the P-center and P-median problems. Manage. Sci. 1983, 29:482-497.
4. Nemhauser G.L., Wolsey L.A. Integer and Combinatorial Optimization 1988, Wiley-Interscience.
5. Snyder L.V. Facility location under uncertainty: a review. IIE Trans. 2006, 38:537-554.
6. Drezner Z., Wesolowsky G. Network design: selection and design of links and facility location. Transp. Res. Part A 2003, 37(3):241-256.
7. Snyder L.V., Daskin M.S. Reliability models for facility location: the expected failure cost case. Transp. Sci. 2005, 39:400-416.
8. Berman O., Krass D., Menezes M.B.C. Facility reliability issues in network p-median problems: strategic centralization and co-location effects. Oper. Res. 2007, 55(2):332-350.
9. Li X., Ouyang Y. A continuum approximation approach to reliable facility location design under correlated probabilistic disruptions. Transp. Res. Part B 2010, 44(4):535-548.
10. Lim M., Daskin M.S., Bassamboo A., Chopra S. Facility location decisions in supply chain networks with random disruption and imperfect information. Working Paper, Department of Industrial Engineering and Management Sciences 2009, Northwestern University, Evanston, IL.
11. Lim M., Daskin M.S., Bassamboo A., Chopra S. A facility reliability problem: formulation, properties and algorithm. Naval Res. Logist. 2010, 57:58-70.
12. Shen Z.-J.M., Zhan R.L., Zhang J. The reliable facility location problem: formulations, heuristics, and approximation algorithms. Working Paper, Department of Industrial Engineering and Operations Research 2007, University of California at Berkeley.
13. Snyder L., Daskin M. Stochastic p-robust location problems. IIE Trans. 2006, 38(11):971-985.
14. Zhan R.L., Daskin M.S., Shen Z.-J.M. Facility reliability with site-specific failure probabilities. Working Paper, Department of Industrial Engineering and Operations Research 2008, University of California-Berkeley.
15. Li Q., Zeng B., Savachkin A. Reliable facility location design under disruptions. Comput. Oper. Res. 2013, 40:901-909.
16. Parvaresh F., Hashemi Golpayegany S.A., Moattar Husseini S.M., Karimi B. Solving the p-hub median problem under intentional disruptions using simulated annealing. Network Spatial Econ. 2013, 13(4):445-470.
17. Parvaresh F., Moattar Husseini S.M., Hashemi Golpayegany S.A., Karimi B. Hub network design problem in the presence of disruptions. J. Intell. Manuf. 2014, 25(4):755-774.
18. Mohammadi, M., Tavakkoli-Moghaddam, R., 2015. Design of a fuzzy bi-objective reliable p-hub center problem. J. Intell. Fuzzy Syst. (in press), doi:. http://dx.doi.org/10.3233/IFS-151846.
19. Calik H., Alumur S.A., Kara B.Y., Karasan O.E. A tabu-search based heuristic for the hub covering problem over incomplete hub networks. Comput. Oper. Res. 2009, 36:3088-3096.
20. Contreras I., Fernandez E., Marín A. The tree of hubs location problem. Eur. J. Oper. Res. 2010, 202:390-400.
21. Lo H., Luo X.W., Siu W.Y. Degradable transport network: travel time budget of travelers with heterogeneous risk aversion. Transp. Res. Part B 2006, 40:792-806.
22. Lo H., Tung Y.K. Network with degradable links: capacity analysis and design. Transp. Res. Part B 2003, 37(4):345-363.
23. Chen A., Yang H., Lo H., Tang W.H. Capacity reliability of a road network: an assessment methodology and numerical results. Transp. Res. Part B 2002, 36(3):225-252.
24. Luo X.W. Degradable Transport Networks 2004, MPhil. thesis), Department of Civil Engineering, Hong Kong University of Science and Technology, Hong Kong.
25. Mohammadi M., Jolai F., Rostami H. An M/M/c queue model for hub covering location problem. Math. Comput. Modell. 2011, 54:2623-2638.
26. Mohammadi M., Jolai F., Tavakkoli-Moghaddam R. Solving a new stochastic multi-mode p-hub covering location problem considering risk by a novel multi-objective algorithm. Appl. Math. Model. 2013, 37:10053-10073.
27. Mohammadi M., Torabi S.A., Tavakkoli-Moghaddam R. Sustainable hub location under mixed uncertainty. Transp. Res. Part E 2014, 62:89-115.
28. Mohammadi M., Dehbari S., Vahdani B. Design of a bi-objective reliable healthcare network with finite capacity queue under service covering uncertainty. Transp. Res. Part E 2014, 72:15-41.
29. Niakan F., Vahdani B., Mohammadi M. A multi-objective optimization model for hub network design under uncertainty: an inexact rough-interval fuzzy approach. Eng. Optim. 2015, 10.1080/0305215X.2014.992891.
30. Zahiri B., Tavakkoli-Moghaddam R., Mohammadi M., Jula P. Multi-objective design of an organ transplant network under uncertainty. Transp. Res. Part E 2014, 72:101-124.
31. Contreras I., Cordeau J.F., Laporte G. Stochastic uncapacitated hub location. Eur. J. Oper. Res. 2011, 212:518-528.
32. Ishfaq R., Sox C.R. Design of intermodal logistics networks with hub delays. Eur. J. Oper. Res. 2012, 220:629-641.
33. Zahiri B., Tavakkoli-Moghaddam R., Pishvaee M.S. A robust possibilistic programming approach to multi-period location-allocation of organ transplant centers under uncertainty. Comput. Ind. Eng. 2014, 74:139-148.
34. Zahiri B., Torabi S.A., Mousazadeh M., Mansouri S.A. Blood collection management: methodology and application. Appl. Math. Modell. 2015, 39(23):7680-7696.
35. Kouvelis P., Kurawarwala A., Gutiérrez G. Algorithms for robust single and multiple period layout planning for manufacturing systems. Eur. J. Oper. Res. 1992, 63(2):287-303.
36. Kleywegt A., Shapiro A., Homem-De-Mello T. The sample average approximation method for stochastic discrete optimization. SIAM J. Optim. 2001, 12(2):479-502.
37. Prüfer H. Neuer Beweis eines Satzes ueber Permutationen. Arch. Math. Phys. 1918, 27:742-744.
38. Mohammadi M., Tavakkoli-Moghaddam R., Ghodratnama A., Rostami H. Genetic and improved shuffled frog leaping algorithms for a 2-stage model of a hub covering location network. Int. J. Ind. Eng. Prod. Res. 2011, 22(3):179-187.
39. Mohammadi M., Siadat A., Dantan J.Y., Tavakkoli-Moghaddam R. Mathematical modelling of a robust inspection process plan: Taguchi and Monte Carlo methods. Int. J. Prod. Res. 2015, 53(7):2202-2224.
40. Ghodsi R., Mohammadi M., Rostami H. Hub covering location problem under capacity constraints. 2010 Fourth Asia International Conference on Mathematical/Analytical Modelling and Computer Simulation (AMS) 2010, May, 204-208. IEEE.
41. Azizmohammadi R., Amiri M., Tavakkoli-Moghaddam R., Mohammadi M. Solving a redundancy allocation problem by a hybrid multi-objective imperialist competitive algorithm. Int. J. Eng. Trans. C Aspects 2013, 26(9):1031.
42. Atashpaz-Gargari E., Lucas C. Imperialist competitive algorithm: an algorithm for optimization inspired by imperialist competitive. Proceedings of the IEEE Congress on Evolutionary Computation 2007, CEC, Singapore.
43. Sivanandam S.N., Deepa S.N. Introduction to Genetic Algorithms 2008, Springer.
44. Aboolian R., Cui T., Max Shen Z.J. An efficient approach for solving reliable facility location models. INFORMS J. Comput. 2012, 25(4):720-729.