BATCH OPTIMIZATION IN INTEGRATED SCHEDULING OF MACHINING AND ASSEMBLY.

To survive the fierce market competition, many manufacturing enterprises have applied integration measures at all levels of the production process. Against this backdrop, this paper mainly establishes a job-shop scheduling problem (JSP) that aims to minimize the makespan of products through integrated scheduling of machining and assembly under batch production environment. Then, the established problem was modelled considering the influence of different batch number on the makespan. In view of the complexity and discreteness of the established problem, a genetic algorithm (GA) was designed to obtain the optimal scheduling sequence in different batch production situations. The effectiveness of our problem model and algorithm was verified through the analysis on an example with different batch conditions. The research findings help to design a realistic and feasible scheduling plan for manufacturing enterprises. (Received, processed and accepted by the Chinese Representative Office.) [ABSTRACT FROM AUTHOR]