Multiple-objective planning for a production and distribution model of the supply chain: Case of a bicycle manufacturer

Abstract

The bicycle industry is one of the most competitive industries in Taiwan. To construct multi-objective production and distribution models tor supply chain, following five methods are compared and discussed: (i) Multi-objective compromise programming; (ii) Fuzzy multi-objective programming (iii) Weighted multi-objective programming; (iv) Weighted fuzzy multi-objective programming; and (v) Two-phase fuzzy multi- objective programming. The weighted multi-objective model has been found better for considering the maximum profit for enterprises and the maximum quality for customer service. After raising the per-unit production cost in production processes, it was observed that the total profit would decrease in real empirical study. In addition, if the unit inventory cost increases due to improving the customer service level, then the total profit might increase, but not significantly.