Simultane strategische Produktionsplanung beim Vorliegen unvollständiger Informationen
Presentation of a risk-based decision-support system using fuzzy, stochastic programming
A focal point of current corporate planning is to adapt the performance of plants to current and future market and competitive conditions or to anticipate them. Developments in operations research and computing technology over the past few decades nowadays allow complex issues to be analyzed.
This study develops a set of tools, which can be used to enable simultaneous strategic production planning. This includes the spatial distribution of production capacities (site planning), their dimensioning (capacity planning) and their use in producing goods (production programme planning).
In this connection, the analysis also focuses on the incompleteness of integrated planning information. There are various reasons for incomplete information and, as a corollary, various explanatory concepts. The aim of this study therefore is to provide decision-makers with a decision support system, which enables incomplete information to be interpreted differently and permits a large number of design options in respect of individual benefit and risk concepts. In order to take account of uncertain (probability theory) and fuzzy (fuzzy set theory) information in modelling, stochastic linear, fuzzy linear and fuzzy, stochastic linear programming are being used.
Contact
Dr. Dirk Hagen Winter
Year of publication
2011