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Building Decision Support Systems for Acceptance

In: Behavioral Operations in Planning and Scheduling

Author

Listed:
  • Ralph Riedel

    (Chemnitz University of Technology)

  • Jan Fransoo

    (Eindhoven University of Technology)

  • Vincent Wiers

    (Eindhoven University of Technology)

  • Katrin Fischer

    (University of Applied Sciences Northwestern Switzerland)

  • Julien Cegarra

    (Université de Toulouse)

  • David Jentsch

    (Chemnitz University of Technology)

Abstract

Production planning and control fulfill a crucial role in enterprises. Planning and scheduling activities are very complex, and take place within the enterprise and across the entire supply chain in order to achieve high quality products at lower cost, lower inventory and higher levels of customer service. Since the information that has to be processed in planning and scheduling functions is very complex information technology is used extensively to support these functions. In the field of manufacturing planning and control Decision Support Systems (DSS) are used. Those are also known as Advanced Planning Systems (APS).

Suggested Citation

  • Ralph Riedel & Jan Fransoo & Vincent Wiers & Katrin Fischer & Julien Cegarra & David Jentsch, 2010. "Building Decision Support Systems for Acceptance," Springer Books, in: Jan C. Fransoo & Toni Waefler & John R. Wilson (ed.), Behavioral Operations in Planning and Scheduling, chapter 0, pages 231-295, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-13382-4_11
    DOI: 10.1007/978-3-642-13382-4_11
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    Cited by:

    1. Käki, Anssi & Kemppainen, Katariina & Liesiö, Juuso, 2019. "What to do when decision-makers deviate from model recommendations? Empirical evidence from hydropower industry," European Journal of Operational Research, Elsevier, vol. 278(3), pages 869-882.

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