Supply Chain Cyclic Planning and Optimisation

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