Solving multi-criteria problems under risk: an approach explained using the example of rescheduling in dynamic environments
| Autor: | Gisela Lanza, Nicole Stricker, Robin Kopf |
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| Rok vydání: | 2014 |
| Předmět: |
Development environment
Mathematical optimization Production planning Operations research Multi criteria Computer science Heuristic (computer science) Mechanical Engineering Control (management) Production (economics) Industrial and production engineering Multiple-criteria decision analysis Industrial and Manufacturing Engineering |
| Zdroj: | Production Engineering. 8:535-541 |
| ISSN: | 1863-7353 0944-6524 |
| DOI: | 10.1007/s11740-014-0556-9 |
| Popis: | There is a decent number of possible heuristic methods to solve an actual problem in production planning and control. Usually, each solving method leads to a different alternative. In dynamic production environments, decision makers often have to decide between uncertainty and risk. Making multi-criteria decisions under risk is a well-known problem. In this paper, we will consider rescheduling as an example for decision-making in a dynamic production environment. It is used to present an intelligent manufacturing approach for multi-criteria decisions under risk that combines a method for decision-making under risk and a multi-attribute decision-making method. Moreover, for frequently appearing problems, such as rescheduling, a procedure to evaluate the used solving methods is presented. We use this information to achieve a sustainable improvement for the solving procedure of future manufacturing problems. |
| Databáze: | OpenAIRE |
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