An approximation approach to a trade-off among efficiency, efficacy, and balance for relief pre-positioning in disaster management

Transportation Research Part E: Logistics and Transportation Review

Volumn 93, Issue , 2016, Pages 485-509

  Rezaei Malek, Mohammad ^a,b   Tavakkoli Moghaddam, Reza ^a,b   Cheikhrouhou, Naoufel ^c   Taheri Moghaddam, Alireza ^b  

^a UNIVERSITY OF TEHRAN   (Iran)

^b ARTS ET MÉTIERS PARISTECH   (France)

^c UNIVERSITY OF APPLIED SCIENCES WESTERN SWITZERLAND   (Switzerland)

Author keywords

Balance; Disaster management; Efficacy; Multi objective optimization; Relief pre positioning; Utility level

Indexed keywords

DISASTER PREVENTION; ECONOMIC AND SOCIAL EFFECTS; EMERGENCY SERVICES; PARETO PRINCIPLE; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; TRANSPORTATION ROUTES;

APPROXIMATION APPROACH; DISASTER MANAGEMENT; EFFICACY; MULTI OBJECTIVE; MULTI-OBJECTIVES OPTIMIZATION; PRE-POSITIONING; RELIEF PRE-POSITIONING; STOCHASTICS; TRADE OFF; UTILITY LEVEL;

MULTIOBJECTIVE OPTIMIZATION;

COMMODITY; COMPUTER SIMULATION; DECISION SUPPORT SYSTEM; DISASTER MANAGEMENT; NUMERICAL MODEL; OPTIMIZATION; RELIABILITY ANALYSIS; TRANSPORTATION MODE;

EID: 84989938021     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.tre.2016.07.003     Document Type: Article

References (70)

1. Ahmadi, M., Seifi, A., Tootooni, B., A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: a case study on San Francisco district. Transp. Res. Part E: Logist. Transp. Rev. 75 (2015), 145–163.
2. Akkihal, A.R., Inventory Pre-positioning for Humanitarian Operations. M.Sc. Thesis, 2004, Massachusetts Institute of Technology.
3. Altay, N., Green, W.G. III, OR/MS research in disaster operations management. Eur. J. Oper. Res. 175:1 (2006), 475–493.
4. Asl-Najafi, J., Zahiri, B., Bozorgi-Amiri, A., Taherimoghaddam, A., A dynamic closed-loop location-inventory problem under disruption risk. Comput. Ind. Eng. 90 (2015), 414–428.
5. Azadeh, A., Rezaei-Malek, M., Evazabadian, F., Sheikhalishahi, M., Improved design of CMS by considering operators decision-making styles. Int. J. Prod. Res. 53:11 (2015), 3276–3287.
6. Balcik, B., Beamon, B.M., Facility location in humanitarian relief. Int. J. Logist. Res. Appl. 11:2 (2008), 101–121.
7. Barzinpour, F., Esmaeili, V., A multi-objective relief chain location distribution model for urban disaster management. Int. J. Adv. Manuf. Technol. 70:5–8 (2014), 1291–1302.
8. Bozorgi-Amiri, A., Jabalameli, M.S., Alinaghian, M., Heydari, M., A modified particle swarm optimization for disaster relief logistics under uncertain environment. Int. J. Adv. Manuf. Technol. 60 (2012), 357–371.
9. Bozorgi-Amiri, A., Jabalameli, M., Mirzapour Al-e-Hashem, S., A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectrum 35:4 (2013), 905–933.
10. Bozorgi-Amiri, A., Asvadi, S., A prioritization model for locating relief logistic centers using analytic hierarchy process with interval comparison matrix. Knowl.-Based Syst. 86 (2015), 173–181.
11. Caunhye, A.M., Nie, X., Pokharel, S., Optimization models in emergency logistics: a literature review. Soc.-Econ. Plan. Sci. 46:1 (2012), 4–13.
12. Chang, M.S., Tseng, Y.L., Chen, J.W., A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transp. Res. Part E: Logist. Transp. Rev. 43:6 (2007), 737–754.
13. Davis, L.B., Samanlioglu, F., Qu, X., Root, S., Inventory planning and coordination in disaster relief efforts. Int. J. Prod. Econ. 141 (2013), 561–573.
14. Döyen, A., Aras, N., Barbarosoglu, G., A two-echelon stochastic facility location model for humanitarian relief logistics. Optimiz. Lett. 6:6 (2012), 1123–1145.
15. Duran, S., Gutierrez, M.A., Keskinocak, P., Pre-positioning of emergency items for CARE international. Interfaces 41:3 (2011), 223–237.
16. Edrissi, A., Poorzahedy, H., Nassiri, H., Nourinejad, M., A multi-agent optimization formulation of earthquake disaster prevention and management. Eur. J. Oper. Res. 229 (2013), 261–275.
17. Falasca, M., Zobel, C.W., A two-stage procurement model for humanitarian relief supply chains. J. Humanitarian Logist. Supply Chain Manage. 1:2 (2011), 151–169.
18. Galindo, G., Batta, R., Review of recent developments in OR/MS research in disaster operations management. Eur. J. Oper. Res. 230:2 (2013), 201–211.
19. Garrido, R.A., Lamas, P., Pino, F.J., A stochastic programming approach for floods emergency logistics. Transp. Res. Part E: Logist. Transp. Rev. 75 (2014), 18–31.
20. Gralla, E., Goentzel, J., Fine, C., Assessing trade-offs among multiple objectives for humanitarian aid delivery using expert preferences. Prod. Oper. Manage. 23 (2014), 978–989.
21. Guha-Sapir, D., Hoyois, P., Below, R., Annual Disaster Statistical Review 2013: The Numbers and Trends. Available at: , 2014 (accessed May 12, 2015).
22. Gutjahr, W.J., Nolz, P.C., Multicriteria optimization in humanitarian aid. Eur. J. Oper. Res. 252:2 (2016), 351–366.
23. Hamedi, M., Haghani, A., Yang, S., Reliable transportation of humanitarian supplies in disaster response: model and heuristic. Procedia Soc. Behav. Sci. 54 (2012), 1205–1219.
24. Holguín-Veras, J., Pérez, N., Jaller, M., Van Wassenhove, L.N., Aros-Vera, F., On the appropriate objective function for post-disaster humanitarian logistics models. J. Oper. Manage. 31:5 (2013), 262–280.
25. Hoyos, M.C., Morales, R.S., Akhavan-Tabatabaei, R., OR models with stochastic components in disaster operations management: a literature survey. Comput. Ind. Eng. 82 (2015), 183–197.
26. Huang, Y., Fan, Y., Modeling uncertainties in emergency service resource allocation. J. Infrastruct. Syst. 17:1 (2011), 35–41.
27. Huang, M., Smilowitz, K., Balcik, B., Models for relief routing: equity, efficiency and efficacy. Transp. Res. Part E: Logist. Transp. Rev. 48:1 (2012), 2–18.
28. Iakovou, E., Ip, C.M., Douligeris, C., Korde, A., Optimal location and capacity of emergency cleanup equipment for oil spill response. Eur. J. Oper. Res. 96:1 (1997), 72–80.
29. Japan International Cooperation Agency (JICA), The Study on Seismic Microzoning of the Greater Tehran Area in the Islamic Republic of Iran. 2010, Centre for Earthquake and Environmental Studies of Tehran and Tehran-Municipality, Tehran November.
30. Jia, H., Ordonez, F., Dessouky, M.M., Solution approaches for facility location of medical supplies for large-scale emergencies. Comput. Ind. Eng. 52:2 (2007), 257–276.
31. Karsu, O., Morton, A., Inequity averse optimisation in operational research. Eur. J. Oper. Res. 245:2 (2015), 343–359.
32. Lee, W.S., Kim, B.S., Opit, P.F., A stock pre-positioning model to maximize the total expected relief demand of disaster areas. Ind. Eng. Manage. Syst. 13:3 (2014), 297–303.
33. Li, A.C.Y., Xu, N., Nozick, L., Davidson, R., Bilevel optimization for integrated shelter location analysis and transportation planning for hurricane events. J. Infrastruct. Syst. 17:4 (2011), 184–192.
34. Mavrotas, G., Effective implementation of the ε-constraint method in multi objective mathematical programming problems. Appl. Math. Comput. 213:2 (2009), 455–465.
35. McCall, V.M., Designing and Prepositioning Humanitarian Assistance Pack-up Kits (HA PUKs) to Support Pacific Fleet Emergency Relief Operations. MS Thesis, 2006, Naval Postgraduate School, Monterey, California.
36. Mete, H.O., Zabinsky, Z.B., Stochastic optimization of medical supply location and distribution in disaster management. Int. J. Prod. Econ. 126:1 (2010), 76–84.
37. Mousazadeh, M., Torabi, S.A., Zahiri, B., A robust possibilistic programming approach for pharmaceutical supply chain network design. Comput. Chem. Eng. 82:2 (2015), 115–128.
38. Nagurney, A., Masoumi, A.H., Yu, M., An integrated disaster relief supply chain network model with time targets and demand uncertainty. Nijkamp, P., Rose, A., Kourtit, K., (eds.) Regional Science Matters: Studies Dedicated to Walter Isard, 2015, Springer International Publishing, Switzerland, 287–318.
39. Nateghi, F., Earthquake scenario for the megacity of Tehran. Disaster Prevent. Manage. 10:2 (2001), 95–101.
40. Özdamar, L., Ertem, M.A., Models, solutions and enabling technologies in humanitarian logistics. Eur. J. Oper. Res. 244:1 (2015), 55–65.
41. Psaraftis, H.N., Tharakan, G.G., Ceder, A., Optimal response to oil spills: the strategic decision case. Oper. Res. 34:2 (1986), 203–217.
42. Rawls, C.G., Turnquist, M.A., Pre-positioning of emergency supplies for disaster response. Transp. Res. Part B: Methodol. 44:4 (2010), 521–534.
43. Rawls, C.G., Turnquist, M.A., Pre-positioning planning for emergency response with service quality constraints. OR Spectrum 33:3 (2011), 481–498.
44. Rawls, C.G., Turnquist, M.A., Pre-positioning and dynamic delivery planning for short-term response following a natural disaster. Soc.-Econ. Plan. Sci. 46:1 (2012), 46–54.
45. Rezaei-Malek, M., Tavakkoli-Moghaddam, R., A new multi-objective mathematical model for relief logistic network under uncertainty. Proceeding of the 6th IEEE International Conference on Industrial Engineering and Engineering Management (IEEE-IEEM2012), Hong Kong, December 12, 2012, 1878–1882.
46. Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Robust humanitarian relief logistics network planning. Uncertain Supply Chain Manage. 2:2 (2014), 73–96.
47. Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Salehi, N., Robust planning of medical supplies with time windows in a humanitarian relief logistic network. Proceeding of the 44th International Conference on Computers and Industrial Engineering (CIE44). Istanbul, Turkey, October 14–16, 2014, 134–147.
48. Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Zahiri, B., Amiri-Bozorgi, A., An interactive approach for designing a robust disaster relief logistics network with perishable commodities. Comput. Ind. Eng. 94 (2016), 201–215.
49. Rezaei-Malek, M., Razmi, J., Tavakkoli-Moghaddam, R., Taheri-Moghaddam, A., Towards a psychologically-consistent cellular manufacturing system. Int. J. Prod. Res., 2016, 10.1080/00207543.2016.1192299.
50. Rodriguez-Espindola, O., Gaytan, J., Scenario-based preparedness plan for floods. Nat. Hazards 76:2 (2015), 1241–1262.
51. Ruan, J., Wang, X., Shi, Y., A two-stage approach for medical supplies intermodal transportation in large-scale disaster responses. Int. J. Environ. Res. Public Health 11 (2014), 11081–11109.
52. Salehi Sadghiani, N., Torabi, S.A., Sahebjamnia, N., Retail supply chain network design under operational and disruption risks. Transp. Res. Part E: Logist. Transp. Rev. 75 (2015), 95–114.
53. Sedighy, S.Q., Shakouri, G.H., Rezaei-Malek, M., A novel multi-objective mathematical model for planning an auxiliary public transportation network: a covering-routing approach. Econ. Comput. Econ. Cybern. Stud. Res. 49:1 (2015), 239–262.
54. Sheu, J.-B., Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transp. Res. Part E: Logist. Transp. Rev. 46:1 (2010), 1–17.
55. Thomas, A., Mizushima, M., Logistics training: necessity or luxury?. Forced Migr. Rev. 22 (2005), 60–61.
56. Tofighi, S., A Logistics Planning Model and Solution Method in Humanitarian Relief Chains. M.Sc Thesis, 2011, School of Industrial Engineering, University of Tehran.
57. Tofighi, S., Torabi, S.A., Mansouri, S.A., A fuzzy stochastic approach for pre-positioning and distribution of emergency supplies in disaster management. Proceeding of the 22nd POMS Annual Conference, Reno, Nevada, U.S.A., April 29 to May 2, 2011.
58. Tofighi, S., Torabi, S.A., Mansouri, S.A., Humanitarian logistics network design under mixed uncertainty. Eur. J. Oper. Res. 250 (2015), 239–250.
59. Torabi, S.A., Baghersad, M., Mansouri, S.A., Resilient supplier selection and order allocation under operational and disruption risks. Transp. Res. Part E: Logist. Transp. Rev. 79 (2015), 22–48.
60. Turcksina, L., Bernardinia, A., Macharisa, C., A combined AHP-PROMETHEE approach for selecting the most appropriate policy scenario to stimulate a clean vehicle fleet. Procedia Soc. Behav. Sci. 20 (2011), 954–965.
61. Tzeng, G., Cheng, H., Huang, T., Multi-objective optimal planning for designing relief delivery systems. Transp. Res. Part E: Logist. Transp. Rev. 6 (2007), 673–686.
62. Tzeng, G-H., Huang, J-J., Multiple Attribute Decision Making: Methods and Applications. 2011, CRC Press, Taylor & Francis Group.
63. Vitoriano, B., Ortuño, M.T., Tirado, G., Montero, J., A multi-criteria optimization model for humanitarian aid distribution. J. Global Optim. 51:2 (2011), 189–208.
64. Wilhelm, W.E., Srinivasa, A.V., A strategic, area-wide contingency planning model for oil spill cleanup operations with application demonstrated to the Galveston Bay area. Decision Sci. 27:4 (1996), 767–799.
65. Williams, H.P., Model Building in Mathematical Programming. 2013, John Wiley & Sons Ltd., West Sussex, England.
66. Zahiri, B., Tavakkoli-Moghaddam, R., Mohammadi, M., Jula, P., Multi-objective design of an organ transplant network under uncertainty. Transp. Res. Part E: Logist. Transp. Rev. 72 (2014), 101–124.
67. 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. 74 (2014), 139–148.
68. Zahiri, B., Torabi, S.A., Mousazadeh, M., Mansouri, S.A., Blood collection management: methodology and application. Appl. Math. Model. 39 (2015), 7680–7696.
69. Zahiri, B., Tavakkoli-Moghaddam, R., Rezaei-Malek, M., An MCDA-DEA approach for mixed-model assembly line balancing problem under uncertainty. J. Intell. Fuzzy Syst. 30:5 (2016), 2737–2748.
70. Zhalechian, M., Tavakkoli-Moghaddam, R., Zahiri, B., Mohammadi, M., Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty. Transp. Res. Part E: Logist. Transp. Rev. 89 (2016), 182–214.