Abstract:

To balance total cost, delivery time, and average service in clothing wholesale supply chain is an important decision. A new method to solve multi-objective programming (MOP) is proposed, which combines mixed integer programming (MIP) and analytic hierarchy process (AHP). First sequence multiple objects according to their importance and determine the lowest acceptable standard of each object, which is used as constraint and the optimal solution of the most important object is obtained, which is considered as restriction, then the optimal solution of subordinate object is obtained. By lowering the restriction of higher object step by step, these serial solutions are obtained. Then evaluating and sequencing the serial solutions by AHP, the synthetic optimal plan is got. This method is demonstrated by a multiple object programming in a three-tier clothing wholesale supply chain, verifies the efficiency of the proposed model and algorithm.