Two-phase simulation optimisation algorithm with applications to multi-echelon cyclic planning

Two-phase simulation optimisation algorithm with applications to multi-echelon cyclic planning

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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: ,
Keywords: supply & supply chains, heuristics: genetic algorithms
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.

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