An integrated multi-objective decision model under random constrain for order allocation in a multiple-supplier environment

This paper examine the order allocation problems in a stochastic supply chain. The company in the supply chain can order raw materials from multiple suppliers. At any time of a supply order, the company should deicide the optimal order quantities from suppliers to minimize the total purchasing cost and disruption risk, subject to maintaining a specified service level and quality. We develop an integrated multi-objective decision model under random constraint (AIODMURC) for this problem and solve it using the step method.