Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Neural Computing and Applications
Published in: Neural Computing and Applications 3/2018

23-11-2016 | Original Article

Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair

Authors: Behnam Vahdani, D. Veysmoradi, N. Shekari, S. Meysam Mousavi

Published in: Neural Computing and Applications | Issue 3/2018

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Natural disasters such as earthquakes impose destructive effects in the form of human injuries and damage to properties each year. Damage caused by the earthquake can disrupt traffic and highway systems, block vehicles and relief operations and make distribution operations difficult. Therefore, the repair of damaged roads in the least possible time so that distribution of relief can be done is a significant natural phenomenon after the disaster. In this study, a new mathematical integer nonlinear multi-objective, multi-period, multi-commodity model is suggested to locate the distribution centers, for timely distribution of vital relief to the damaged areas, vehicles routing and emergency roadway repair operations. It minimizes the travel time and total cost and increases reliability of the routes. To solve the designed problem, two meta-heuristic algorithms, namely non-dominated sorting genetic algorithm-II (NSGAII) and multi-objective particle swarm optimization (MOPSO), are offered. Then, the accuracy of mathematical models and efficiency of algorithms are assessed through numerical examples in detail.
previous article Fuzzy classifier fusion: an application to reservoir facies identification
next article Comparison of genetic programming and radial basis function neural network for open-channel junction velocity field prediction

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Akkihal A (2006). Inventory pre-positioning for humanitarian operations. Thesis for degree of master of engineering in Logistics, MIT CTL
2.
Archeti C, Savelsbergh MWP, Speranza MG (2008) To split or not to split: that is the question. Transp Res Part E 44:114–123CrossRef
3.
Aslanzadeh M, Rostami EA, Kardar L (2009) Logistics management and SCM in disasters. In: Supply chain and logistics in national, international and governmental environment. Physica-Verlag, pp 221–252
4.
Balcik B, Beamon BM (2008) Facility location in humanitarian relief. Int J Logist Res Appl 11(2):101–121CrossRef
5.
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. doi:10.​1007/​S00170-015-79233
6.
Bozorgi-Amiri A, Jabalameli SMJ, Al-e-Hashem M (2013) A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR Spectr 35:905–933MathSciNetCrossRefMATH
7.
Coello CAC, Pulido GT, Lechuga MS (2004) Handling multiple objectives with particle swarm optimization. IEEE Trans Evol Comput 8(3):256–279CrossRef
8.
Deb K (2001) Multi-objective optimization using evolutionary algorithms. Wiley, ChichesterMATH
9.
Eshghi K, Najafi M (2013) A logistics planning model to improve the response phase of earthquake. Int J Ind Eng Prod Manag 23:401–416
10.
Fiedrich F, Gehbauer F, Rickers U (2000) Optimized resource allocation for emergency response after earthquake disasters. Saf Sci 35:41–57CrossRef
11.
Ghodratnama A, Jolai F, Tavakkoli-Moghaddam R (2015) Solving a new multi-objective multi-route flexible flow line problem by multi-objective particle swarm optimization and NSGA-II. J Manuf Syst 36:189–202CrossRef
12.
Govindan K, Jafarian A, Khodaverdi R, Devika K (2014) Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of perishable food. Int J Prod Econ 152:9–28CrossRef
13.
Gulczynski D, Golden B, Wasil E (2011) The multi-depot split delivery vehicle routing problem: an integer programming-based heuristic, new test problems, and computational results. Comput Ind Eng 61(3):794–804CrossRef
14.
Hanguang Q, Xumei Z (2006) Research on open location-routing problem based on improved particle swarm optimization algorithm. China Mech Eng 22:2356–2361
15.
Huang SH (2015) Solving the multi-compartment capacitated location routing problem with pickup–delivery routes and stochastic demands. Comput Ind Eng 87:104–113CrossRef
16.
Khalilpourazari S, Pasandideh SHR (2016) Multi-item EOQ model with nonlinear unit holding cost and partial backordering: moth-flame optimization algorithm. J Ind Prod Eng, 1–10
17.
Liberatore F, Ortuño MT, Tirado G, Vitoriano B, Scaparra MP (2014) A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Comput Oper Res 42:3–13MathSciNetCrossRefMATH
18.
Mete ON, Zabinsky Z (2010) Stochastic optimization of medical supply location and distribution in disaster management. Int J Prod Econ 126(1):76–84CrossRef
19.
Mousavi SM, Sadeghi J, Niaki STA, Tavana M (2016) A bi-objective inventory optimization model under inflation and discount using tuned Pareto-based algorithms: NSGA-II, NRGA, and MOPSO. Appl Soft Comput 43:57–72CrossRef
20.
Ozdamar L, Demir O (2012) A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transp Res Part E 48(3):591–602CrossRef
21.
Ozdamar L, Yi W (2007) A dynamic logistics coordination model for evacuation and support in disaster response activities. Eur J Oper Res 179(3):1177–1193MathSciNetCrossRefMATH
22.
Rahdar MH, Heidari M, Ataei A, Choi JK (2016) Modeling and optimization of R-717 and R-134a ice thermal energy storage air conditioning systems using NSGA-II and MOPSO algorithms. Appl Therm Eng 96:217–227CrossRef
23.
Sadeghi J, Sadeghi S, Niaki STA (2014) A hybrid vendor managed inventory and redundancy allocation optimization problem in supply chain management: an NSGA-II with tuned parameters. Comput Oper Res 41:53–64MathSciNetCrossRefMATH
24.
Saydam C, Xiao J, Rajagopalan HK (2006) A multi period set- covering location model for dynamic redeployment of ambulances. Comput Oper Res 35(3):814–826MATH
25.
Setiawan E, French AP (2009) A location-allocation model for relief distribution and victim evacuation proceeding. Int Semin Ind Eng Manag
26.
Sheu JB (2007) An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transport Res Part E 43(6):687–709CrossRef
27.
Taguchi G (1987) System of experimental design; engineering methods to optimize quality and minimize costs (No. 04; QA279, T3.)
28.
Tajik N, Tavakkoli-Moghaddam R, Vahdani B, Mousavi SM (2014) A robust optimization approach for pollution routing problem with pickup and delivery under uncertainty. J Manuf Syst 33(2):277–286CrossRef
29.
30.
Tavana M, Li Z, Mobin M, Komaki M, Teymourian E (2016) Multi-objective control chart design optimization using NSGA-III and MOPSO enhanced with DEA and TOPSIS. Expert Syst Appl 50:17–39CrossRef
31.
Tofighi S, Torabi SA, Mansouri SA (2016) Humanitarian logistics network design under mixed uncertainty. Eur J Oper Res 250(1):239–250MathSciNetCrossRefMATH
32.
Tzeng GH, Cheng HJ, Huang TD (2007) Multi- objective optimal planning for designing relief delivery systems. Transp Res Part E 43(6):673–686CrossRef
33.
Vahdani B, Zandieh M (2010) Scheduling trucks in cross-docking systems: robust meta-heuristics. Comput Ind Eng 58(1):12–24CrossRef
34.
Vahdani B, Tavakkoli-Moghaddam R, Zandieh M, Razmi J (2012) Vehicle routing scheduling using an enhanced hybrid optimization approach. J Intell Manuf 23(3):759–774CrossRef
35.
36.
Vitoriano B, Ortuno MT, Tirado G, Montero J (2011) A multi- criteria optimization model for humanitarian aid distribution. J Global Optim 51(2):189–208MathSciNetCrossRefMATH
37.
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 69:160–179CrossRef
38.
Yan S, Shih YL (2009) Optimal scheduling of emergency roadway repair and subsequent relief distribution. Comput Oper Res 36(6):2049–2065CrossRefMATH
39.
Yan S, Shih YL (2012) An ant colony system-based hybrid algorithm for an emergency roadway repair time-space network flow problem. Transportmetrica 8(5):361–386CrossRef
40.
Yi W, Kumar A (2007) Ant colony optimization for disaster relief operations. Transport Res Part E: Logist Transport Rev 43:660–672CrossRef
41.
Zandieh M, Amiri M, Vahdani B, Soltani R (2009) A robust parameter design for multi-response problems. J Comput Appl Math 230(2):463–476MathSciNetCrossRefMATH
42.
Zhan SL, Liu N, Ye Y (2014) Coordinating efficiency and equity in disaster relief logistics via information updates. Int J Syst Sci 45(8):1607–1621MathSciNetCrossRefMATH
43.
44.
Zokaee S, Bozorgi-Amiri A, Sadjadi SJ (2016) A robust optimization model for humanitarian relief chain design under uncertainty. Appl Math Model
Metadata
Title
Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair
Authors
Behnam Vahdani
D. Veysmoradi
N. Shekari
S. Meysam Mousavi
Publication date
23-11-2016
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 3/2018
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-016-2696-7

Other articles of this Issue 3/2018

Neural Computing and Applications 3/2018 Go to the issue

Original Article

Fault analysis in TCSC-compensated lines using wavelets and a PNN

ISCMI15

Late parallelization and feedback approaches for distributed computation of evolutionary multi-objective optimization algorithms

Original Article

Frank prioritized Bonferroni mean operator with single-valued neutrosophic sets and its application in selecting third-party logistics providers

Original Article

Human mimic color perception for segmentation of color images using a three-layered self-organizing map previously trained to classify color chromaticity

ISCMI15

Adaptive neuro-fuzzy inference system-based grey time-varying sliding mode control for power conditioning applications

Original Article

Wireless sensor network minimum beacon set selection algorithm based on tree model

Premium Partner

    Image Credits