Abstract
A hierarchical multi-site production chain planning framework, which consists of Supply Network Planning (SNP) and daily scheduling models, is presented in this study. Besides, a TFT-LCD manufacturer case in Taiwan is taken as an illustration to explain the planning issues. Firstly, this article reviews the related abundant literature. An analytic framework for the multi-site planning problem based on the production modes, network structure, relevant planning characteristics and constraints is proposed. And then, we also developed the two-phase planning method for multi-site production planning problem. The first stage is Supply Network Planning, which decide the production amounts and material requirement planning among multiple plants in supply network. This problem is solved by preemptive linear goal programming considering the practical constraints, and discussed by the different planning modes and sensitivity analysis for the related cost factors. The second stage is daily scheduling in Array process, As a result of the complex problems, we develop the binary particle swarm optimization with dynamic nonlinear inertia weight and mutation mechanism. Compared with other methods, the proposed heuristic technique is verified for computation efficiency. It can converge to the best solution region very quickly.