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Modeling and Optimization of Flexible Manufacturing Systems: A Stochastic Approach

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Intelligent Computing & Optimization (ICO 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 866))

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Abstract

This document describes the development an analysis of the main optimization methods used in flexible manufacturing systems (FMS) problems. The results are obtained from a random sample of more than one hundred documents published from 1986 to 2018 dedicated to the optimization of FMS. These are classified by their applications in the most significant fields of this area in analytical methods and heuristic methods. The discussion is based on the importance of this branch of engineering in the economic activity of a country and is motivation to continue doing research in it. The analysis also addresses some aspects of computational complexity found in ordinary optimization as well as the most common NP-hard problems of the FMS. The statistical results obtained are presented and the virtual future of the FMS is projected as well as the new challenges and opportunities to venture into this important field of human activity.

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Authors and Affiliations

  1. División de Investigación, Desarrollo e Innovación, Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico

    Gilberto Pérez Lechuga

  2. Escuela Superior de Apan, Universidad Autónoma del Estado de Hidalgo, Pachuca, Mexico

    Francisco Martínez Sánchez

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  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Tronoh, Perak, Malaysia

    Pandian Vasant

  2. Faculty of Electrical Engineering and Computer Science, VŠB TU Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Institute of Applied Mathematics, METU, Ankara, Ankara, Turkey

    Gerhard-Wilhelm Weber

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Lechuga, G.P., Sánchez, F.M. (2019). Modeling and Optimization of Flexible Manufacturing Systems: A Stochastic Approach. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing & Optimization. ICO 2018. Advances in Intelligent Systems and Computing, vol 866. Springer, Cham. https://doi.org/10.1007/978-3-030-00979-3_57

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