Supply Chain Cyclic Planning and Optimisation

2009
Gaļina Merkurjeva, Liāna Napalkova

This case study analyses different simulation-based optimisation methods of multi-echelon supply chain planning in the maturity phase of the product life cycle. Some standard optimisation software add-on as well as the proposed in the case study is used to solve the problem. A supply chain generic network is employed as an application system. Several optimisation scenarios are introduced in order to analyse and compare abilities of different optimisation methods and tools. A hybrid genetic-response surface-based linear search algorithm is introduced to enhance the solution of multi-echelon cyclic planning and optimisation problem and generate the optimal cyclic plan.

Keywords
Simulation optimisation, genetic algorithms, response surface-based methodology, multi-echelon supply chain planning
DOI
10.1007/978-1-84882-187-3_6
Hyperlink
http://link.springer.com/chapter/10.1007%2F978-1-84882-187-3_6?LI=true

Publication language
English (en)