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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 7/2020

03.06.2019 | Original Article

A robust multi-objective humanitarian relief chain network design for earthquake response, with evacuation assumption under uncertainties

Erschienen in: Neural Computing and Applications | Ausgabe 7/2020

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Abstract

In this paper, we have proposed a multi-objective mathematical model for the humanitarian supply chain design problem that minimizes: (1) total number of the injured not transferred to hospitals and total number of the homeless not evacuated from the affected area, and (2) total unmet relief commodity needs. In this model, such parameters as the demand and travel time have been considered as uncertain and two discrete robust counterpart models (with “ellipsoidal” and “box and polyhedral” uncertainty sets) have been developed to model uncertainties. Results found from Tehran Case Study have revealed that the one with the “box and polyhedral” uncertainty set performs better than the “ellipsoidal” set.
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Literatur
1.
Abounacer R, Rekik M, Renaud J (2014) An exact solution approach for multi-objective location–transportation problem for disaster response. Comput Oper Res 41:83–93MathSciNetMATHCrossRef
2.
Özdamar L, Ertem MA (2015) Models, solutions and enabling technologies in humanitarian logistics. Eur J Oper Res 244(1):55–65MathSciNetMATHCrossRef
3.
Barzinpour F, Esmaeili V (2014) A multi-objective relief chain location distribution model for urban disaster management. Int J Adv Manuf Technol 70(5–8):1291–1302CrossRef
4.
Caunhye AM, Nie X, Pokharel S (2012) Optimization models in emergency logistics: a literature review. Soc Econ Plan Sci 46(1):4–13CrossRef
5.
Wang H, Du L, Ma S (2014) Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake. Transp Res Part E: Logist Transp Rev 69:160–179CrossRef
6.
Vitoriano B, Ortuño MT, Tirado G, Montero J (2011) A multi-criteria optimization model for humanitarian aid distribution. J Global Optim 51(2):189–208MathSciNetMATHCrossRef
7.
Rawls CG, Turnquist MA (2010) Pre-positioning of emergency supplies for disaster response. Transp Res Part B: Methodol 44(4):521–534CrossRef
8.
Rennemo SJ, Rø KF, Hvattum LM, Tirado G (2014) A three-stage stochastic facility routing model for disaster response planning. Transp Res Part E: Logist Transp Rev 62:116–135CrossRef
9.
Mete HO, Zabinsky ZB (2010) Stochastic optimization of medical supply location and distribution in disaster management. Int J Prod Econ 126(1):76–84CrossRef
10.
An S, Cui N, Li X, Ouyang Y (2013) Location planning for transit-based evacuation under the risk of service disruptions. Transp Res Part B Methodol 54:1–16CrossRef
11.
12.
Kulshrestha A, Lou Y, Yin Y (2014) Pick-up locations and bus allocation for transit-based evacuation planning with demand uncertainty. J Adv Transp 48(7):721–733CrossRef
13.
14.
Gama M, Santos BF, Scaparra MP (2015) A multi-period shelter location-allocation model with evacuation orders for flood disasters. EURO J Comput Optim 4(3–4):299–323MathSciNetMATHCrossRef
15.
Zhan S-L, Liu N (2011) A multi-objective stochastic programming model for emergency logistics based on goal programming. In: 2011 fourth international joint conference on computational sciences and optimization (CSO), 2011. IEEE, pp 640–644
16.
Bozorgi-Amiri A, Jabalameli MS, Alinaghian M, Heydari M (2012) A modified particle swarm optimization for disaster relief logistics under uncertain environment. Int J Adv Manuf Technol 60(1–4):357–371CrossRef
17.
Murali P, Ordóñez F, Dessouky MM (2012) Facility location under demand uncertainty: response to a large-scale bio-terror attack. Socio-Econ Plan Sci 46(1):78–87CrossRef
18.
Bozorgi-Amiri A, Jabalameli M, Al-e-Hashem SM (2013) A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectr 35(4):905–933MathSciNetMATHCrossRef
19.
Zhang Z-H, Jiang H (2014) A robust counterpart approach to the bi-objective emergency medical service design problem. Appl Math Model 38(3):1033–1040MathSciNetMATHCrossRef
20.
Deng C, Yang L (2014) Sample average approximation method for the chance–constrained stochastic programming in the transportation model of emergency management. Int J Simul Process Model 9(4):222–227CrossRef
21.
Rezaei-Malek M, Tavakkoli-Moghaddam R (2014) Robust humanitarian relief logistics network planning. Uncertain Supply Chain Manag 2(2):73–96CrossRef
22.
23.
Bozorgi-Amiri A, Khorsi M (2015) A dynamic multi-objective location–routing model for relief logistic planning under uncertainty on demand, travel time, and cost parameters. Int J Adv Manuf Technol 85(5–8):1633–1648
24.
Garrido RA, Lamas P, Pino FJ (2015) A stochastic programming approach for floods emergency logistics. Transp Res Part E Logist Transp Rev 75:18–31CrossRef
25.
Zokaee S, Bozorgi-Amiri A, Sadjadi SJ (2016) A robust optimization model for humanitarian relief chain design under uncertainty. Appl Math Model 40(17–18):7996–8016MathSciNetMATHCrossRef
26.
27.
Paul JA, Wang XJ (2019) Robust location-allocation network design for earthquake preparedness. Transp Res Part B: Methodol 119:139–155CrossRef
28.
Jha A, Acharya D, Tiwari M (2017) Humanitarian relief supply chain: a multi-objective model and solution. Sādhanā 42(7):1167–1174MathSciNetMATHCrossRef
29.
Vahdani B, Veysmoradi D, Shekari N, Mousavi SM (2018) Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair. Neural Comput Appl 30(3):835–854CrossRef
30.
31.
32.
Soyster AL (1973) Technical note—convex programming with set-inclusive constraints and applications to inexact linear programming. Oper Res 21(5):1154–1157MathSciNetMATHCrossRef
33.
Sheu J-B, Pan C (2015) Relief supply collaboration for emergency logistics responses to large-scale disasters. Transp A Transp Sci 11(3):210–242
34.
Ben-Tal A, Nemirovski A (2000) Robust solutions of linear programming problems contaminated with uncertain data. Math Program 88(3):411–424MathSciNetMATHCrossRef
35.
Li Z, Ding R, Floudas CA (2011) A comparative theoretical and computational study on robust counterpart optimization: I. Robust linear optimization and robust mixed integer linear optimization. Ind Eng Chem Res 50(18):10567–10603CrossRef
36.
Qiao J, Zhang W (2018) Dynamic multi-objective optimization control for wastewater treatment process. Neural Comput Appl 29(11):1261–1271CrossRef
37.
Ning J, Zhang B, Liu T, Zhang C (2018) An archive-based artificial bee colony optimization algorithm for multi-objective continuous optimization problem. Neural Comput Appl 30(9):2661–2671CrossRef
38.
39.
Liu C-H, Tsai W-N (2015) Multi-objective parallel machine scheduling problems by considering controllable processing times. J Oper Res Soc 67(4):654–663CrossRef
Metadaten
Titel
A robust multi-objective humanitarian relief chain network design for earthquake response, with evacuation assumption under uncertainties
Publikationsdatum
03.06.2019
Erschienen in
Neural Computing and Applications / Ausgabe 7/2020
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-019-04193-x

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