Logistics network optimization considering balanced allocation and vehicle routing

This article presents an effort to study the complex problem that arises when balanced allocation is integrated with vehicle routing decisions in a logistics network. This integrated problem is frequently encountered in many logistics networks that maximize the efficiency and effectiveness of availa...

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Bibliographic Details
Published in:Maritime economics & logistics Vol. 18; no. 1; pp. 41 - 60
Main Authors: Cho, Su Yeon, Lee, Young Hae, Cho, Dong Won, Gen, Mitsuo
Format: Journal Article
Language:English
Published: London Palgrave Macmillan UK 01.03.2016
Palgrave Macmillan
Subjects:
Algorithms
Alliances
Business and Management
Customer services
Expansion
Genetic algorithms
Heuristic
Integer programming
Literature reviews
Logistics
Mathematical models
Network management systems
Operations Management
Optimization
Original Article
Pareto optimum
Routing
Studies
Supply chain management
Vehicles
Warehouses
multi-depot vehicle routing problem
logistics network
balanced allocation vehicle routing problem
supply chain management
ISSN:1479-2931, 1479-294X
Online Access:Get full text
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Summary:This article presents an effort to study the complex problem that arises when balanced allocation is integrated with vehicle routing decisions in a logistics network. This integrated problem is frequently encountered in many logistics networks that maximize the efficiency and effectiveness of available warehouses and distribution centers. After modeling the balanced allocation vehicle routing problem (BAVRP) as a multi-objective mixed integer programming problem, we propose a two-stage approach as a solution methodology. This approach decomposes the BAVRP into two independent sub-problems, allocation and routing, and solves them separately. Experimental results show that our two-stage algorithm approach is readily applicable to the BAVRP.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:1479-2931
1479-294X
DOI:10.1057/mel.2015.17