Routing optimization of fourth party logistics with reliability constraints based on Messy GA
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hdl:2099/16290
Tipus de documentArticle
Data publicació2014-12
EditorOmniaScience
Condicions d'accésAccés obert
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Reconeixement-NoComercial 3.0 Espanya
Abstract
Purpose: The purpose of this paper is to choose a optimal routing in fourth party logistics
(4PL) with the objective of transportation cost minimization under reliability level constraint.
Design/methodology/approach: Reliability theory is applied to routing optimization
problem. A mathematical model of the 4PL routing optimization problem with reliability
constraints is built, which aims to find a route at the minimum cost. Due to the 4PL routing
problem is NP-hard, two algorithms are designed: Messy Genetic Algorithm (Messy GA) and
Enumeration Algorithm (EA).
Findings: Through the model and algorithm, 4PL company can obtain the optimal solution
quickly and effectively, according to customer’s reliability requirements.
Practical implications: We give an example for test the effectiveness of the method and the
algorithm.
Originality/value: In this paper, we put objective factors that cause disturbances of
transportation time into consideration, and reliability theory is applied to 4PL routing
optimization problem. A Messy GA with double arrays encoding method is designed to solve
the problem.
CitacióLi, Jia; Liu, Yanqiu; Hu, Zhongjun. Routing optimization of fourth party logistics with reliability constraints based on Messy GA. "Journal of Industrial Engineering and Management", Desembre 2014, vol. 7, núm. 2, p. 1097-111.
Dipòsit legalB-28744-2008
ISSN2013-0953
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