Research On Dynamic Manufacturing Supply Chain Scheduling Model Based On Disruption Management

In recent years, more and more experts studied on the supply chain scheduling problem, but most papers are mainly about transportation and distribution, researching on production scheduling is limited. The production scheduling of the supply chain is a complex and comprehensive system engineering, involving not only the enterprise internal production, but also the communication and collaboration between enterprises. At the same time, supply chain as a whole, can affect the operation of the entire supply chain if any part appears disturbance. Therefore studying on how to manage disruption in the supply chain is significant on the theoretical and practical area.This article studied the disruption management on supply chain scheduling, mainly researching the following two parts:A supply chain that consists of a supplier and a manufacture in the information asymmetry model, we studied the negotiated scheduling problem between the supplier and the manufacture. This supply chain model We established the special ROV(Ranked-Order-Value) based on WSPT(Weighted shortest processing time first) and a heuristic neighborhood search mechanism. By combining multi-objective approaching policy with the bi-level particle swarm optimization and the heuristic neighborhood search mechanism, a heuristic hybrid algorithm is proposed. The numerical experiments show that the hybrid PSO algorithm is effective to the disruption management on supply chain scheduling model.To solve the batch scheduling problem for a random or an anticipated job-change disruption in hybrid no-wait flow shop, a novel scheduling method based on disruption management is presented. The scheduling model is built considering both the target to minimize total weighted completion time (the original objective) and the target to minimize total weighted delay time (the disruption repairing objective). By combining multi-objective approaching policy with the bi-level particle swarm optimization and stochastic probability multi-neighborhood search mechanism, a heuristic hybrid algorithm is proposed. The numerical experiments show that the hybrid PSO algorithm is effective to the disruption management-based scheduling model, which including "insert-change" great probability neighborhood search operator.