Two-phase simulation optimisation algorithm with applications to multi-echelon cyclic planning
by Galina Merkuryeva, Liana Napalkova
International Journal of Simulation and Process Modelling (IJSPM), Vol. 6, No. 1, 2010

Abstract: 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.

Online publication date: Sun, 11-Apr-2010

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