Soft computing for earliness and tardiness production planning of multi-location one-of-a-kind production manufacturing systems

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 schedule 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 obtain a satisfactory solution and has potential to practical production applications.