Two-Phase Simulation Optimisation Procedure with Applications to Multi-Echelon Cyclic Planning

Proceedings of the 20th European Modelling and Simulation Symposium (EMSS-2008) 2008
Gaļina Merkurjeva, Liāna Napalkova

This paper describes a two-phase simulation-based optimisation procedure that integrates the Genetic Algorithm and Response Surface-based Linear Search algorithm for developing optimal power-of-two replenishment policy in multi-echelon environment during the maturity phase of the life cycle of a product. The problem involves a search in high dimensional space with different ranges for decision variables scales, multiple objective functions and problem specific constraints, such as power-of-two and nested/invertednested planning policies. The paper provides illustrative example of the two-phase optimisation procedure applied to generic supply chain network.

Keywords
Multi-echelon cyclic planning, genetic algorithm, response surface-based linear search

Merkurjeva, G., Napalkova, L. Two-Phase Simulation Optimisation Procedure with Applications to Multi-Echelon Cyclic Planning. In: Proceedings of the 20th European Modelling and Simulation Symposium (EMSS-2008), Italy, Campora San Giovanni, Amantea (CS), 17-19 September, 2008. Campora San Giovanni, Amantea (CS): MISS Genoa Center, 2008, pp.51-58.

Publication language
English (en)