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.
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The authors would like to thank Reha Uzsoy, North Carolina State University, for useful comments on this paper.
Accepted after two revisions by the editors of the special focus.
This article is also available in German in print and via http://www.wirtschaftsinformatik.de: Fink A, Kliewer N, Mattfeld D, Mönch L, Rothlauf F, Schryen G, Suhl L, Voß S (2014) Modellbasierte Entscheidungsunterstützung in Produktions- und Dienstleistungsnetzwerken. WIRTSCHAFTSINFORMATIK. doi: 10.1007/s11576-013-0402-2.
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Fink, A., Kliewer, N., Mattfeld, D. et al. Model-Based Decision Support in Manufacturing and Service Networks. Bus Inf Syst Eng 6, 17–24 (2014). https://doi.org/10.1007/s12599-013-0310-4
- Model-based decision support
- Manufacturing and service networks
- Research areas in business and information systems engineering