MODEL AND GENETIC ALGORITHMS FOR RESILIENT SUPPLY CHAIN UNDER SUPPLY DISRUPTION

摘要

Based on the analysis of the coping strategy for the suppliers under supply disruption, a combinatorial optimization model for resilient supply chain is presented. Employing genetic algorithms with hybrid coding of 0-1 encoding and floating-point coding, the solution method is proposed and a simulation experiment is carried out to verify its feasibility. The results show that the proposed model is available to provide decision support for the enterprises to cope with supply disruptions effectively.