Article ID: | iaor20103476 |
Volume: | 6 |
Issue: | 1 |
Start Page Number: | 7 |
End Page Number: | 18 |
Publication Date: | Apr 2010 |
Journal: | International Journal of Simulation and Process Modelling |
Authors: | Merkuryeva Galina, Napalkova Liana |
Keywords: | supply & supply chains, heuristics: genetic algorithms |
This paper describes a two-phase simulation optimisation algorithm that integrates the genetic algorithm and response surface-based linear search algorithm for developing an optimal cyclic plan in a multi-echelon environment during the maturity phase of the life cycle of a product. The problem involves a search in a high-dimensional space with different ranges for decision variable scales, multiple objective functions and problem-specific constraints. The paper provides an illustrative example of the two-phase simulation optimisation algorithm applied to a generic supply chain network.