New combination of robust planning with credit constraints for responsive-dependent closed-loop supply chain network under uncertainty and disruptions
Volume 6, Issue 4, Winter 2017, Pages 213-227
Alireza Arshadikhamseh, Alireza Hamidieh, bahman Naderi
Abstract Today, supply chain networks in a competitive business environment are faced with the occurrence of potential disruptions, uncertain nature of business parameters and constant changes in market demand that affect the efficiency and performance of the network. This research has developed a new stable-feasibility possibility combination for designing a multi-product closed-loop supply chain network under uncertainty conditions to develop a new approach to planning. Mathematics of credit limitation has been used. The above network has been designed with the objectives of maximizing accountability, reliability and cost minimization. . Reliable models based on credit constraint planning and new robust-credit constraint combination were presented and evaluated using real data from a national industrial project. The results show the proposed robust new combination with average cost-effectiveness and minimum standard deviation , Has improved the stability of the model and its effectiveness.