Cutting scheduling

Optimizing fabric spreading and cutting schedules in apparel production using genetic algorithms and fuzzy set theory... 

The JIT fabric-cutting schedule can be optimized using GAs such that the overall degree of satisfaction. 

To optimize a fuzzy fabric-cutting schedule by GAs, the operation procedure begins by randomly generating an initial population of integer strings in which each string represents a job processing sequence, as shown in Fig. 7.4. Evolution... 

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... 

Mok, P.Y., Kwong, C.K. and Wong, W.K., 2007. Optimisation of fault-tolerant fabric-cutting schedules using genetic algorithms and fuzzy set theory, European Journal of Operational Research, 177(3), 1876-1893. 

The key decision points in the cutting room of apparel manufacture include cut order planning, marker planning, and spreading and cutting scheduling. 

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