A Study of the Production Planning and Scheduling Problem in the Apparel Manufacturing Industry. Phase 2
Abstract:
The project seeks the development of an on-line apparel production planning and scheduling system based on an accurate estimate of time phased apparel plant capacity. The system implementation consists of two major components an operators skill prediction module and a production planning and scheduling module. The first one is developed to predict the skill progress of individual operators with 17 operation-related factors, and to estimate the capacity of an apparel plant over a given planning horizon. The estimate provides a quantitative foundation for generation of accurate production plans and promotes operators long-term skill growth. Several heuristic algorithms including simulated annealing and neural network are embedded in the scheduling algorithm. The system is coded C and implemented on a PC386 platform with support of the paradox database management system.