Apparel production order scheduling

Optimizing apparel production order planning scheduling using genetic algorithms... 

The traditional production scheduling studies assumed that the due times are crisp values. In practice, it is sometimes allowable to complete jobs beyond certain due times in the apparel industry. This is because apparel manufacturers determine internally the due time windows of various production orders for different... 

In the apparel industry, production orders tend to split into smaller orders with different product features in response to growing requests for product customization. In order to shorten product time-to-market, apparel manufacturers work hard in the direction of just-in-time production. In the apparel manufacturing process, the effectiveness of fabric-cutting schedule planning extensively influences downstream assembly operations, and thus, in turn, is critical to the overall system performance. However, the demand from downstream operation... 

The apparel manufacturing environment is typically dynamic. Apart from the imcertainties caused by the fuzzy and resource-competing internal demands, job processing times are fuzzy due to hmnan factors, machine breakdowns, insertion of msh orders, and so on (Mok et al., 2007). Research on the optimization of JIT schedules with fiizzy job processing time and production order due times is currently under investigation by the research team. 

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