routing optimization of fourth party logistics with reliability constraints based on messy ga

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ID: 254418
2014
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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.

Reference Key
jia2014journalrouting Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Li Jia;Liu Yanqiu;Hu Zhongjun
Journal research journal of environmental toxicology
Year 2014
DOI
10.3926/jiem.1126
URL
http://www.jiem.org/index.php/jiem/article/view/1126
Keywords
reliability management engineeringsocial sciencescommercebusiness

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