Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/71342
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Type: Book chapter
Title: A Fuzzy-Evolutionary Approach to the Problem of Optimisation and Decision-Support in Supply Chain Networks
Author: Schellenberg, S.
Mohais, A.
Ibrahimov, M.
Wagner, N.
Michalewicz, Z.
Citation: Variants of Evolutionary Algorithms for Real-World Applications, 2012 / Chiong, R., Weise, T., Michalewicz, Z. (ed./s), pp.143-166
Publisher: Springer
Publisher Place: Germany
Issue Date: 2012
ISBN: 3642234232
9783642234231
Statement of
Responsibility: 
Sven Schellenberg, Arvind Mohais, Maksud Ibrahimov, Neal Wagner and Zbigniew Michalewicz
Abstract: This chapter deals with the problem of balancing and optimising the multi-echelon supply chain network of an Australian ASX Top 50 company which specialises in the area of manufacturing agricultural chemicals. It takes into account sourcing of raw material, the processing of material, and the distribution of the final product. The difficulty of meeting order demand and balancing the plants’ utilisation while adhering to capacity constraints is addressed as well as the distribution and transportation of the intermediate and final products. The aim of the presented system is to minimise the time it takes to generate a factory plan while providing better accuracy and visibility of the material flow within the supply chain. The generation of factory plans within a short period of time allows for what-if-scenario analysis and strategic planning which would not have been possible otherwise. We present two approaches that drive a simulation to determine the quality of the generated solutions: an event-based approach and a fuzzy rule-based approach. While both of them are able to generate valid plans, the rule-based approach substantially outperforms the event-based one with respect to convergence time and quality of the solution.
RMID: 0020118686
DOI: 10.1007/978-3-642-23424-8_5
Published version: https://doi.org/10.1007/978-3-642-23424-8
Appears in Collections:Computer Science publications

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