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Model-Based Decision Support in Manufacturing and Service Networks

Author

Listed:
  • Andreas Fink
  • Natalia Kliewer
  • Dirk Mattfeld
  • Lars Mönch
  • Franz Rothlauf
  • Guido Schryen
  • Leena Suhl
  • Stefan Voß

Abstract

In this paper, we sketch some of the challenges that should be addressed in future research efforts for model-based decision support in manufacturing and service networks. This includes integration issues, taking into account the autonomy of the decision-making entities in face of information asymmetry, the modeling of preferences of the decision makers, efficiently determining robust solutions, i.e. solutions that are insensitive with respect to changes in the problem data, and a reduction of the time needed for model building and usage. The problem solution cycle includes problem analysis, the design of appropriate algorithms and their performance assessment. We are interested in a prototypical integration of the proposed methods within application systems, which can be followed up with field tests of the extended application systems. We argue that the described research agenda requires the interdisciplinary collaboration of business and information systems engineering researchers with colleagues from management science, computer science, and operations research. In addition, we present some exemplifying, illustrative examples of relevant research results. Copyright Springer Fachmedien Wiesbaden 2014

Suggested Citation

  • Andreas Fink & Natalia Kliewer & Dirk Mattfeld & Lars Mönch & Franz Rothlauf & Guido Schryen & Leena Suhl & Stefan Voß, 2014. "Model-Based Decision Support in Manufacturing and Service Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 6(1), pages 17-24, February.
    • Handle: RePEc:spr:binfse:v:6:y:2014:i:1:p:17-24
    DOI: 10.1007/s12599-013-0310-4
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    References listed on IDEAS

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    1. Ada Y. Barlatt & Amy Cohn & Oleg Gusikhin & Yakov Fradkin & Rich Davidson & John Batey, 2012. "Ford Motor Company Implements Integrated Planning and Scheduling in a Complex Automotive Manufacturing Environment," Interfaces, INFORMS, vol. 42(5), pages 478-491, October.
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    Cited by:

    1. Wil M. P. Aalst & Jörg Becker & Martin Bichler & Hans Ulrich Buhl & Jens Dibbern & Ulrich Frank & Ulrich Hasenkamp & Armin Heinzl & Oliver Hinz & Kai-Lung Hui & Matthias Jarke & Dimitris Karagiannis &, 2018. "Views on the Past, Present, and Future of Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 443-477, December.
    2. Martin Bichler & Ulrich Frank & David Avison & Julien Malaurent & Peter Fettke & Dirk Hovorka & Jan Krämer & Daniel Schnurr & Benjamin Müller & Leena Suhl & Bernhard Thalheim, 2016. "Theories in Business and Information Systems Engineering," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 58(4), pages 291-319, August.
    3. Zhengcai Cao & Lijie Zhou & Biao Hu & Chengran Lin, 2019. "An Adaptive Scheduling Algorithm for Dynamic Jobs for Dealing with the Flexible Job Shop Scheduling Problem," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(3), pages 299-309, June.

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