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Distributed Manufacturing Scheduling Based on a Dynamic Multi-criteria Decision Model

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Recent Developments and New Directions in Soft Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 317))

Abstract

Distributed manufacturing scheduling is increasingly necessary in nowadays global manufacturing environments and assumes primal importance to ensure enhanced solutions for such globally distributed manufacturing scheduling problems. In this chapter an approach based on a dynamic multi-criteria decision model is proposed, which enables (re)scheduling strategies and trade-offs between different performance measures. In this dynamically changing environment, real-time changes may occur in production and there is a need for a global view and manufacturing (re)scheduling to improve the globally distributed manufacturing scenario. The approach main aim is to support scheduling decision making, namely through reliable and timely deliveries, as well as improved manufacturing management of available resources. An illustrative example, integrating a set of manufacturing cells is provided to clarify the approach.

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Acknowledgment

The authors wish to acknowledge the support of: (1) The Foundation for Science and Technology—FCT, under the scope of the financed Project on “Ubiquitous oriented embedded systems for globally distributed factories of manufacturing enterprises”—PTDC/EME-GIN/102143/2008, and (2) EUREKA, under the Project E!4177-Pro-Factory UES; (3) NSF Grant #2003168 and CNSF Grant #9972988.

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Authors and Affiliations

  1. Department of Production and Systems, School of Engineering, University of Minho, 4800-058, Guimarães, Portugal

    M. L. R. Varela

  2. UNINOVA - CA3, Campus FCT-UNL, 2829-516, Caparica, Portugal

    R. A. Ribeiro

Authors
  1. M. L. R. Varela
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  2. R. A. Ribeiro
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Corresponding author

Correspondence to R. A. Ribeiro .

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Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Minister of Communications and Information Technologies of the Republic of Azerbaijan, Baku, Azerbaijan

    Ali M. Abbasov

  3. Iona College, Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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Varela, M.L.R., Ribeiro, R.A. (2014). Distributed Manufacturing Scheduling Based on a Dynamic Multi-criteria Decision Model. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Directions in Soft Computing. Studies in Fuzziness and Soft Computing, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-319-06323-2_6

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  • DOI: https://doi.org/10.1007/978-3-319-06323-2_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06322-5

  • Online ISBN: 978-3-319-06323-2

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