Research On Sequence Coordination Scheduling Of Two Stages Manufacturing Chain

With the increasing competition of global market and the improvement of expectations of customers, these resulted in shortening of product life cycle. Company concerned about the problem of supply chain management increasingly. Supply chain management which meets the customers'needs, integrates the suppliers, manufacturers, retailers and customers to product goods at the same time, achieving optimal operation of the whole supply chain.Coordination of supply chain is an important issue in supply chain management. The decision-makers at different stages in supply chain found the plan of the production and distribution sequence to make the supply chain operating best by coordination.For the two stages of the manufacturing chain, we considered each node's coordination of the production sequence in the situation with inventory and transportation constraints between supplier and manufacturer measured the local interests and the overall interests in the supply chain synthetically, established the multi-objective mathematical models in the aspects with no storage, unlimited intermediate storage and finite intermediate storage. Genetic algorithm with order crossover, cycle crossover and partially mapped crossover and PBIL algorithm were used to solving in first two situations. The performances of the two algorithms were compared lastly.For the supply chain coordination scheduling problem with finite intermediate storage, there were three rules of how to come out the storage were introduced, simulation-based optimization algorithm was designed, instances in different scales were analyzed.The results not only showed the effectiveness of the algorithm by solving and simulating the instance, but also showed the supply chain coordination decisions can save the cost of time efficiently.