Production Scheduling of Regional Industrial Clusters Based on Customization Oriented Smart Garment Ecosystem

This paper presents the Smart Garment Ecosystem (SG-ECO) and enriches the garment customization production scheduling model theory. On the basis of SG-ECO, the author designs a regional collaborative production alliance (RCPA) based on the idea of collaborative production management and then establishes a flexible production scheduling model (FPSM) that is oriented to the RCPA model under multiple constraints and aims to maximize weighted cost savings. The RCPA model and research on FPSM can enrich the theoretical system of production scheduling research to a certain extent and provide new ideas for the latter’s research on customized production scheduling. Although the calculation example proves that the genetic algorithm based on double-layer integer coding (DIC-GA) can effectively solve the FPSM problem, the feasible solution space of the algorithm increases when the order size increases, and the number of iterations and search time required gradually increase. An improved genetic algorithm with double-layer integer coding for processes and workshops is designed, which can not only ensure that each chromosome is a legal individual but also reduce the complexity of the algorithm. The crossover operation and compilation operation are designed based on the coding method to ensure that the genetic operations in the algorithm can produce feasible solutions.