SCHEDULING PROBLEM OF DISTRIBUTED MANUFACTURING SUPPLY CHAIN BASED ON HYBRID STRUCTURE ANT COLONY OPTIMIZATION.

Distributed manufacturing can quickly respond to market changes, improve resource utilization and productivity. In order to realize rational allocation of enterprise resource multi-workshop production planning in distributed manufacturing, this paper studies the manufacturing supply chain scheduling problem in distributed manufacturing environment. Based on the idea of dynamic alliance organization, this paper proposes a hybrid-structure distributed manufacturing control structure model which integrated both the integrated hierarchical structure and the distributed structure, it also constructs a mathematical model of distributed manufacturing supply chain scheduling based on the mechanism of combinatorial auction. In this paper, the optimized ant colony optimization (ACO) is used to simulate the distributed manufacturing supply chain scheduling problem. The research results show that the hybrid-structure ACO proposed in this paper can provide a reasonable manufacturing scheduling scheme, and determine the processing start time, end time of each process, and the processing machine for a certain part according to the actual situation of the workshop. The research method proposed by this paper enriches the research results of distributed manufacturing supply chain scheduling problem, effectively solves the scheduling problem of distributed manufacturing supply chain, and has certain practical application value. [ABSTRACT FROM AUTHOR]