An evolutionary algorithm for optimizing material flow in supply chains

Authors:
F. Elizabeth Vergara;Moutaz Khouja;Zbigniew Michalewicz
Affiliations:
Business Information Systems and Operations Management Department, The Belk College of Business Administration, The University of North Carolina at Charlotte, Charlotte, NC;Business Information Systems and Operations Management Department, The Belk College of Business Administration, The University of North Carolina at Charlotte, Charlotte, NC;Department of Computer Science, The University of North Carolina at Charlotte, Charlotte, NC
Venue:
Computers and Industrial Engineering
Year:
2002

Citing 3
Cited 6

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Abstract

Supply chain management literature calls for coordination between the different members of the chain. Materials should be moved from one supplier to the next according to a just-in-time schedule. In this paper we develop an evolutionary algorithm (EA) for optimal synchronization of supply chains. In developing our algorithm, we use the economic delivery and scheduling model and analyze supply chains dealing with multiple-components. We test the performance of the proposed EA and show that it provides optimal, or near optimal, solutions for a wide range of problems. The EA is shown to be much faster at solving large problems than an enumeration procedure and exhibits robust behavior when tested on a variety of different problem parameters.