Paper Info
Title
A new efficient encoding/decoding procedure for the design of a supply chain network with genetic algorithms
Abstract
Supply chain network (SCN) design is a strategic issue which aims at selecting the best combination of a set of facilities to achieve an efficient and effective management of the supply chain. This paper presents an innovative encoding-decoding procedure embedded within a genetic algorithm (GA) to minimize the total logistic cost resulting from the transportation of goods and the location and opening of the facilities in a single product three-stage supply chain network. The new procedure allows a proper demand allocation procedure to be run which avoids the decoding of unfeasible distribution flows at the stage of the supply chain transporting products from plants to distribution centers. A numerical study on a benchmark of problems demonstrates the statistical outperformance of the proposed approach vs. others currently available in literature in terms of total supply chain logistic cost saving and reduction of the required computation burden to achieve an optimal design.
Year
DOI
Venue
2010
10.1016/j.cie.2010.09.011
Computers & Industrial Engineering
Keywords
DocType
Volume
genetic algorithm,three-stage supply chain network,genetic algorithms,supply chain network,distribution center,logistic costs,proper demand allocation procedure,total supply chain logistic,new efficient encoding,supply chain,innovative encoding-decoding procedure,optimal design,encoding–decoding procedure,new procedure,cost saving,optimization
Journal
59
Issue
ISSN
Citations 
4
Computers & Industrial Engineering
19
PageRank 
References 
Authors
0.79
8
4
Name
Order
Citations
PageRank
Antonio Costa1727.14
Giovanni Celano29212.38
Sergio Fichera310211.40
Enrico Trovato4251.95