Abstract
The purpose of decision support systems(DSS) is to support managers, who are faced with semi- and unstructured problems. DSS aim to be integrated in the decision making process. For financial planning and modeling there exists DSS generators, however they have limited possibilities to use mathematical and statistical models. We have been involved in building several DSS’s, for location-allocation problems, for production planning, truck scheduling, personnel planning and for Box & Jenkins time series analysis which incorporate adequate mathematical tools. The first three incorporate a mixed-integer LP-package as a kernel. We have built a software library that enables us to construct and implement specific DSS’s, that incorporate an LP-package, during iterative design cycles. Our experience with very large location-allocation and GAP-type problems indicates that even for these problems solutions can be obtained, interactively, via an LP relaxation and a heuristic. This can be done since for some problems it can be proven that the number of non-integer assignments in the solution of the LP relaxation is very limited and because of the efficiency of the system. We report on recent results both with building and implementing these types of DSS and on the development of our software tools.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Benders J.F.; van Nunen J.A.E.E., A linear programmimg based decision support system for location and allocation problems, Informatie 23, 693–703, 1981 (in Dutch)
Benders J.F.; van Nunen J.A.E.E., A decision support system for location and allocation problems within a brewery, Operations research proceedings 1981, Springer Verlag Berlin, 96–105, 1982.
Benders J.F.; van Nunen J.A.E.E., A property of assignment type mixed integer linear programming problems, Operations Research Letters 2, 47–52, 1983.
Benders J.F., A linear programming approach to the clustering problem in class-room scheduling, Memorandum COSOR, Eindhoven University of Technology, in preparation.
Bennett J., User-Oriented Graphics, Systems for Decision Support in Unstructured Tasks, in User-Oriented Design of Interactive Graphics Systems, Treu S. (ed), Association for Computing Machinery, New York, New York, 3–11, 1977.
Simon H., The New Science of Management Decision, Harper and Row, New York, New York 1960.
Sprague R.H jr., A Framework for the Development of Decision Support Systems, MIS quarterly, 4, 1980.
van Nunen J.A.E.E.; Beulens A.J.M.; Benders J.F., On solving assignment type mixed integer linear programming problems within decision support systems, Working paper Graduate School of Management, Delft, sept. 1983.
van Nunen J.A.E.E.; Benders J.F.; Beulens A.J.M., On using the linear programming relaxation of assignment type mixed integer problems, Working paper Graduate School of Management, Delft, sept. 1983.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1985 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Beulens, A., van Nunen, J. (1985). On Using Quantitative Methods in Decision Support Systems: Design and Implementation Issues. In: Ohse, D., Esprester, A.C., Küpper, HU., Stähly, P., Steckhan, H. (eds) DGOR. Operations Research Proceedings, vol 1984. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-70457-4_74
Download citation
DOI: https://doi.org/10.1007/978-3-642-70457-4_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-15374-0
Online ISBN: 978-3-642-70457-4
eBook Packages: Springer Book Archive