Two-phase simulation optimisation algorithm with applications to multi-echelon cyclic planning. (12th April 2010)

• Record Type: Journal Article
• Authors: Merkuryeva, Galina; Napalkova, Liana
• Is Part Of: International journal of simulation and process modelling. Volume 6:Number 1(2010)
• Page Start: 7
• Page End: 18
• Publication Date: 2010-04-12
• Subjects: multi-echelon cyclic planning -- GAs -- genetic algorithms -- response surface-based linear search -- simulation optimisation -- response surface methodology -- RSM -- product maturity -- supply chain networks -- supply chain management -- SCM; Management -- Computer simulation -- Periodicals; Mathematical models -- Periodicals; Operations research -- Periodicals; Simulation methods -- Periodicals; 003.05
• Languages: English
• ISSNs: 1740-2123

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.