Friday 29th of March 2024
 

Genetic Algorithm Enhancement to Solve Multi Source Multi Product Flexible Multistage Logistics Network


Seyedyaser Bozorgirad, Mohammad Ishak Desa and Antoni Wibowo

To be successful in todays active business competition, enterprises need to design and build a productive and flexible logistics network. The flexible multistage logistic network (fMLN) problem is NP-hard. The previous papers were considering the problem as a single source logistic network problem while in real world we face a multi source logistic network problem. In this paper, we shall find the minimum cost of fMLN using proposed Route Based Genetic Algorithm (RB-GA) with considering a multi source multi product flexible multistage logistics network and the comparison based on numerical result between RB-GA and standard gentic algorithm is presented. We applied the penalty method in GA and new representation of GA to satisfy all existing constraints when. Additionally, we investigate all products amounts shipped from plants to customer. The best every product delivery route for each customer considering the constraints fulfilled will be found.

Keywords: Multi Source Multi Product Flexible Multistage Logistics Network, Genetic Algorithms, Penalty Methods

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ABOUT THE AUTHORS

Seyedyaser Bozorgirad
PhD candidate in computer science from University Teknologi Malaysia (UTM)- graduated by master of Information Technology- manufacturing (IT-Manufacturing) from the same university at 2008. Graduated by bachelor of industrial engineering (system analysis) form University of Science and Technologies of Mazandaran, Iran. 1999 – 2004.

Mohammad Ishak Desa
B,Sc Maths (UKM), Postgrad Dip. Sys. Analysis (Aston), M.A. Math. Sc. (Univ. of Illinois ), Ph.D Operational Research (Salford)

Antoni Wibowo
B. Sc. / B. Eng Math Engineering ( UNS Indonesia ) M.Sc in Computer Science ( University of Indonesia ) M. Eng in Policy and Planning Science ( University of Tsukuba , Japan) Dr. Eng in System and Information Engineering : Intelligent Data Analysis ( University of Tsukuba , Japan )


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