In this paper, we sketch some of the challenges that should be addressed in future research efforts for model- based decision support in manufactur- ing and service networks. This includes integration issues, taking into account the autonomy of the decision-making entities in face of information asymme- try, the modeling of preferences of the decision makers, efficiently determin- ing 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 build- ing 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 appli- cation systems, which can be followed up with field tests of the extended ap- plication systems. We argue that the described research agenda requires the interdisciplinary collaboration of busi- ness and information systems engi- neering researchers with colleagues from management science, computer science, and operations research. In addition, we present some exemplify- ing, illustrative examples of relevant research results.
Fink, Andreas; Kliewer, Natalia; Mattfeld, Dirk; Mönch, Lars; Rothlauf, Franz; Schryen, Guido; Suhl, Leena; and Voß, Stefan
"Model-Based Decision Support in Manufacturing and Service Networks,"
Business & Information Systems Engineering:
Vol. 6: Iss. 1, 17-24.
Available at: https://aisel.aisnet.org/bise/vol6/iss1/4