Dynamic Scheduling and Optimal Control of Coordination Supply Chain Based on Automatic Allocation of Orders for Multicycle Integrators

Selecting suppliers and allocating orders scientifically rationally not only have important theoretical value but also extremely practical significance to enterprises. This study proposes an improved multicycle integration method that can effectively determine the optimal number of under premise considering risk supply interruption transaction costs may be caused by various uncertain factors. The is divided into two categories: “common event” “individual event.” On basis balancing cost company’s choice financial loss interruption, quantitative analysis methods are used for company. problem analyzed, corresponding model given, influence each parameter on analyzed. From perspective stochastic uncertainty in both customer demand supplier capacity, this analyzes optimization enterprise purchase quantity allocation volume discount environment. relaxation factor somewhat adaptive because particle swarm continuously updated. Aiming at ordering cost, transportation order delay quantity, product quality, random constraints, capacity multisupplier multiproduct situations, we establish selection environment dynamic approximation algorithm allocation. research results show procurement supplier.