Multistage Optimisation Strategy For Solving Production Planning Problems

The production planning problems for a supply chain (SC) for low-volume production in make-to-order environment are considered. A generic framework for describing the strategic planning process for a SC is developed. The propagation of uncertainty and variability is included in approach proposed. Focus is on benchmarking the performance of a SC, understanding the impact of different characteristics to the planning of a SC, and the possibilities of improving the performance of a SC. The multiobjective optimization problem has been formulated and solved by use of global optimization methods (GA) and parallel computing.