Schneider, Johannes and Britze, Jürgen and Ebersbach, Anja and Morgenstern, Ingo and Puchta, Markus (2000) Optimization of production planning problems - A case study for assembly lines. INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 11 (5). pp. 949-972. ISSN 0129-1831
Full text not available from this repository.Abstract
For a few years, Simulated Annealing (SA)(1) and related Monte Carlo optimization algorithms like Threshold Accepting (TR)a have become a useful means for optimizing various kinds of economic problems, like the Traveling Salesman Problem (TSP). In this paper, we concentrate on the production processes themselves because most costs are thereby incurred, such that a small relative improvement can lead to large savings. We will present an application of these physical optimization algorithms for a certain type of assembly lines which can be transferred to a TSP with additional constraints.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ALGORITHM; optimization; Monte Carlo; production planning; scheduling; assembly line; supply chain management; enterprise resource planning; advanced planning and scheduling |
| Subjects: | 400 Language > 400 Language, Linguistics 500 Science > 530 Physics |
| Divisions: | Languages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Informationswissenschaft Physics > Institute of Theroretical Physics > Alumni or Retired Professors > Professor Morgenstern > Group Ingo Morgenstern |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 05 Apr 2022 07:11 |
| Last Modified: | 05 Apr 2022 07:11 |
| URI: | https://pred.uni-regensburg.de/id/eprint/42350 |
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