Soft Computing for Earliness and Tardiness Production Planning of Multi-location OKP Manufacturing Systems
软计算求解分布式多工厂单件制造业的提前/拖期生产计划问题

Earliness and tardiness production planning with due_date for multi_location OKP manufacturing systems is studied and a linear 0-1 programming model is proposed. The objective is to find an optimal scheduling and to minimize the total sum of earliness and tardiness penalties, production costs and transport costs. By using the fuzzy rule quantification method, a fuzzy logic based decision making approach is proposed to improve the computational performance. Then a fuzzy decision embedded genetic algorithm is developed. The results demonstrate that it can get a satisfactory solution and have potential to practical production applications.