Analysis of a transshipment problem with multiple conflicting objectives
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A bi-objective column generation algorithm for the multi-commodity minimum cost flow problem
2015, European Journal of Operational ResearchCitation Excerpt :These objectives include time, cost, risk, environmental concerns etc. Thus, multi-objective flow models are more appropriate for modelling real-world decision making situations than single objective models (Aneja and Nair, 1979; Current and Marsh, 1993; Current and Min, 1986; Lee, Green, and Kim, 1981; Lee and Schniederjans, 1983; Moore, Taylor, and Lee, 1978; Ulungu and Teghem, 1994). In this paper we consider the bi-objective multi-commodity minimum cost flow problem (BMCMCF).
A hybrid genetic algorithm model for transshipment management decisions
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Laurence J. Moore is Professor of Management Science and Head of the Department of Business Administration at Virginia Polytechnic Institute and State University. He received the D.B.A. in Quantitative Systems and an M.S. in Economics from Arizona State University. Dr. Moore is co-author, with S. M. Lee, of Introduction to Decision Science (1975), and GERT Modeling and Simulation; Fundamentals and Applications (1976), with E. R. Clayton. He has co-edited two Proceedings and has over forty articles in such journals as Decision Sciences, AIIE Transactions, Production and Inventory Management, Management Science, Journal of Economics and Business, and numerous others. He has served as a Vice President of National AIDS and is Past President of Southeast AIDS.
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Bernard W. Taylor III is Assistant Professor of Management Science at Virginia Polytechnic Institute and State University. He received the Ph.D. and M.B.A. from the University of Georgia and a B.I.E. from the Georgia Institute of Technology. Dr. Taylor has published articles in numerous journals including Decision Sciences, Computers and Operations Research, Production and Inventory Management, Management Science.