Journals Information
Manufacturing Science and Technology(CEASE PUBLICATION) Vol. 3(5), pp. 240 - 248
DOI: 10.13189/mst.2015.030508
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Optimization and Prediction Approaches for Flexible Routing in Dynamic Environment FMS
Jaber Abu Qudeiri 1,*, Usama Umer 1, Fayiz Abu Khadra 2, H.M.A. Hussein 3
1 Advanced Manufacturing Institute, King Saud University, Saudi Arabia
2 Faculty of Engineering, King Abdulaziz University, Saudi Arabia
3 Department of Mechanical Engineering, Faculty of Engineering, Helwan University, Egypt
ABSTRACT
Recently, many production systems that work in dynamic environment are widely used in high volume industries. Increasing the product varieties in dynamic environment Flexible Manufacturing Systems (FMS) have gained more importance due to growing production lines' complexity. Increasing the customers demand to diversified products and rapid changing of the need to certain types of products require an FMS with high ability to adapt any change in production ratio during production. This paper introduces a Two Stages Approach (TSA) to increase the flexibility of the FMS to any change of the production ratios during production. The first stage of TSA is to propose a Genetic Algorithm (GA) based Production Simulator (GA-PS) to maximize the FMS throughput by optimizing the FLXible Routes (FLXR) for all products type at a given production ratio. The second stage is to propose a Neural Network (NN) approach to predict the routes of all products in FMS that can be used efficiently instead of a long, time-consuming GA-PS. TSA can improve the response of FMS to any change of the production ratio by finding a new FLXR that achieves the optimal throughput of the FMS within the new production ratios. Numerical examples will be applied to demonstrate applicability of the proposed approach. As a result, it could be ascertained that the proposed TSA is useful.
KEYWORDS
FMS, Flexible Routing, Production Simulator, Genetic Algorithms, Neural Network
Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Jaber Abu Qudeiri , Usama Umer , Fayiz Abu Khadra , H.M.A. Hussein , "Optimization and Prediction Approaches for Flexible Routing in Dynamic Environment FMS," Manufacturing Science and Technology(CEASE PUBLICATION), Vol. 3, No. 5, pp. 240 - 248, 2015. DOI: 10.13189/mst.2015.030508.
(b). APA Format:
Jaber Abu Qudeiri , Usama Umer , Fayiz Abu Khadra , H.M.A. Hussein (2015). Optimization and Prediction Approaches for Flexible Routing in Dynamic Environment FMS. Manufacturing Science and Technology(CEASE PUBLICATION), 3(5), 240 - 248. DOI: 10.13189/mst.2015.030508.