![fabric cutting optimizer fabric cutting optimizer](https://windows-cdn.softpedia.com/screenshots/cutting-optimization-pro_9.png)
#FABRIC CUTTING OPTIMIZER PDF#
Google Patents Method and system for cutting-stock optimization across schedules and batchesÄownload PDF Info Publication number US8862261B1 US8862261B1 US13/220,649 US201113220649A US8862261B1 US 8862261 B1 US8862261 B1 US 8862261B1 US 201113220649 A US201113220649 A US 201113220649A US 8862261 B1 US8862261 B1 US 8862261B1 Authority US United States Prior art keywords cut items optimization batch computer Prior art date Legal status (The legal status is an assumption and is not a legal conclusion. Google Patents US8862261B1 - Method and system for cutting-stock optimization across schedules and batches Although the total operation time used is longer than that using industrial practice, the great benefits obtained by less fabric cost and extra quantity of garments planned and produced largely outweigh the longer operation time required.US8862261B1 - Method and system for cutting-stock optimization across schedules and batches
![fabric cutting optimizer fabric cutting optimizer](https://i.ytimg.com/vi/whU2itlj4oQ/mqdefault.jpg)
The experimental results demonstrate that the proposed method can reduce both the material costs and the production of additional garments while satisfying the time constraints set by the downstream sewing department. Four sets of real production data were collected to validate the proposed decision support method.
![fabric cutting optimizer fabric cutting optimizer](https://d3i71xaburhd42.cloudfront.net/0d09163bdcd2ce28047066818698184e6d18bec2/3-Table1-1.png)
In this paper, a genetic optimized decision-making model using adaptive evolutionary strategies is proposed to assist the production management of the apparel industry in the decision-making process of COP in which a new encoding method with a shortened binary string is devised. Following the details of retail orders in terms of quantity, size and colour, COP seeks to minimize the total manufacturing costs by developing feasible cutting order plans with respect to material, machine and labour. In apparel manufacturing, cut order planning (COP) plays a significant role in managing the cost of materials as fabric usually occupies more than 50% of the total manufacturing cost.