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Virtual cellular manufacturing: Configuring routing flexibility

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  • Nomden, Gert
  • van der Zee, Durk-Jouke

Abstract

Virtual cellular manufacturing (VCM) creates groups of products and machines in the production planning and control system. Similar groupings may help to reduce set-up times. Starting from two industrial cases, we study parallel machine shops assuming the implementation of VCM. We address the way mid-term investments in process planning, machines, and secondary resources may improve shop performance. Here our prime focus is on an increase of routing flexibility in terms of the number and distribution of alternative machines available for a product family, and the number of secondary resources. An extensive simulation study makes clear that: (1) a small number of alternative routes will mostly suffice, (2) a chained distribution of routes is preferable, and (3) additional secondary resources are relevant only under specific conditions.

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  • Nomden, Gert & van der Zee, Durk-Jouke, 2008. "Virtual cellular manufacturing: Configuring routing flexibility," International Journal of Production Economics, Elsevier, vol. 112(1), pages 439-451, March.
    • Handle: RePEc:eee:proeco:v:112:y:2008:i:1:p:439-451
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    References listed on IDEAS

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    Cited by:

    1. Durk-Jouke van der Zee, 2017. "Coordinating batching decisions in manufacturing networks," International Journal of Production Research, Taylor & Francis Journals, vol. 55(18), pages 5405-5422, September.
    2. Baoyu Liao & Qingru Song & Jun Pei & Shanlin Yang & Panos M. Pardalos, 2020. "Parallel-machine group scheduling with inclusive processing set restrictions, outsourcing option and serial-batching under the effect of step-deterioration," Journal of Global Optimization, Springer, vol. 78(4), pages 717-742, December.
    3. A. Attila İşlier, 2015. "Cellular Manufacturing Systems: Organization, Trends and Innovative Methods," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 3(2), pages 13-26, December.
    4. Jing, Hao & Sheng, Lijuan & Luo, Chaorui & Kwak, Choonjong, 2021. "Statistical analysis of family based dispatching rules and preemption," International Journal of Production Economics, Elsevier, vol. 240(C).
    5. Baykasoglu, Adil & ÖzbakIr, Lale, 2010. "Analyzing the effect of dispatching rules on the scheduling performance through grammar based flexible scheduling system," International Journal of Production Economics, Elsevier, vol. 124(2), pages 369-381, April.
    6. Safaei, Nima & Tavakkoli-Moghaddam, Reza, 2009. "Integrated multi-period cell formation and subcontracting production planning in dynamic cellular manufacturing systems," International Journal of Production Economics, Elsevier, vol. 120(2), pages 301-314, August.
    7. Gultekin, Hakan, 2012. "Scheduling in flowshops with flexible operations: Throughput optimization and benefits of flexibility," International Journal of Production Economics, Elsevier, vol. 140(2), pages 900-911.
    8. Legros, Benjamin & Jouini, Oualid & Dallery, Yves, 2015. "A flexible architecture for call centers with skill-based routing," International Journal of Production Economics, Elsevier, vol. 159(C), pages 192-207.

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