Paper Info
Title
Integrated scheduling of production and distribution operations in a global MTO supply chain
Abstract
This paper addresses an integrated scheduling problem of production and distribution operations with the consideration of several important realistic features, such as multiple plants, multiple order sizes and multiple transportation modes in the commit-to-delivery business mode. This problem exists widely in many global make-to-order supply chain operations, which aims at minimizing the total cost of production and distribution by determining how to assign a large number of customer orders to multiple production plants, and how to transport the finished products to customer-specified global destinations. A memetic algorithm-based optimization approach, integrating a memetic optimization process and some heuristic procedures, is proposed to deal with this problem. The effectiveness of the proposed approach is demonstrated by extensive numerical experiments based on real industrial data. Experimental results demonstrate that (1) the proposed approach can effectively solve the problem investigated by generating good solutions for industrial-size instances, (2) the integrated scheduling generates better scheduling solutions than the sequential scheduling, and (3) the proposed memetic optimization process exhibits better optimum-seeking performance than a genetic algorithm-based optimization process.
Year
DOI
Venue
2019
10.1080/17517575.2018.1428770
ENTERPRISE INFORMATION SYSTEMS
Keywords
Field
DocType
Production and transportation,logistics,mixed integer programming,memetic algorithms,optimization
Memetic algorithm,Data mining,Heuristic,Mathematical optimization,Job shop scheduling,Scheduling (computing),Computer science,Integer programming,Supply chain,Total cost
Journal
Volume
Issue
ISSN
13.0
SP4
1751-7575
Citations 
PageRank 
References 
2
0.36
20
Authors
3
Name
Order
Citations
PageRank
Zhenggang He120.36
Zhaoxia Guo2135.25
Wang, J.3606.72