AN INTELLIGENT OPTIMIZATION METHOD FOR WORKSHOP RESOURCE SCHEDULING BASED ON MTO PRODUCTION MODE.

Workshop resource scheduling is an important link in manufacturing scheduling, it has great significance for reducing production cost and enhancing market competitiveness of the manufacturing industry. To this end, this paper studied an intelligent optimization method for workshop resource scheduling considering order outsourcing based on the MTO production mode, and constructed a mathematical model for this problem; in the paper, an improved Artificial Bee Colony algorithm (ABC algorithm) was proposed and verified by comparative analysis and simulation experiments, and the research results showed that: as the number of orders gradually increased, compared with the basic ABC algorithm, the optimal and average solutions obtained by the improved ABC algorithm were obviously smaller, indicating that the improved ABC algorithm had excellent optimization capability. This research enriched the theoretical achievements of the intelligent optimization methods for workshop resource scheduling under the MTO production mode. [ABSTRACT FROM AUTHOR]