Lead-Time Based Multi-agent Policies Synergy and Optimization between Quay and Supply Chains

Targeting the great uncertainty of the process lead time in the international supply and distribution networks, the paper proposed a coordination framework of mixed multi-agent policies between the quay system and supply chains, and built a loop optimization decision-making model based on the tactical lead time. According to the different requirements for the supply chain responsiveness, suitable policies were chosen to control the mean flow time of the quay front operating system in an international supply chain node, to regulate the lead time fluctuation of the international supply chains, and to drive the goal optimization of the supply chain performance between time and cost. The research adopted a combination of multi-objective optimization genetic algorithm and neural network and used an example of simulating the planning decision process of supply chain oriented policies adopted by a container quay. The results demonstrated that the proposed policies could enhance the synergy effects between the quay tactical planning and the goals of time-sensitive supply chains. Although more operational equilibrium cost was needed to regulate the lead time fluctuation, the obtained certainties of the time goal can evidently improve the overall performance of the supply chain network.