Fuzzy Aggregate Production Planning with Interactive Multi-rule Approach

This paper focuses on a multi-objective nonlinear integer programming approach for modeling and optimization of aggregate production planning problems with multi-product under fuzzy demands, fuzzy capacities and financial constraints environment. By means of possibility and necessity measures, a goal programming model is constructed, which takes into account a tradeoff between total cost and robustness in demand satisfaction (minimum risk approach). The interactive solution method technique for solving model is also proposed.