Applying multi-Objective optimisation to dynamic supply chain models
- Autores: Philip Hedenstierna
- Localización: Conradi Research Review, ISSN-e 1459-0980, Vol. 6, Issue 2, 2010, págs. 19-31
- Idioma: inglés
- Enlaces
-
Resumen
Supply chains are complex industrial systems with several actors that strive towards different purposes. These systems are particularly sensitive to dynamic complexity and are popularly approached using system dynamics simulation. A common problem with system dynamics simulation is the inability to see directly how well a model with several objectives performs.
This article suggests multi-objective optimisation as a means of analyzing dynamic supply chain models to (1) find Pareto-optimal parameter sets and (2) allow for comparison of different models by comparing Pareto fronts. Apart from discussing the application of multiobjective optimisation to dynamic supply chain problems, a supply chain model is optimized to give some insight about the benefits of using multi-objective optimisation for supply chain problems.
