基于分支定界法的服装生产优化模型(以西爪哇萨瓦吉泽西糖果公司为例)

Athaya Alyanisa, Julita Nahar, Nursanti Anggriani
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摘要

生产优化模型是通过考虑一定的限制条件,从生产活动中寻找最优结果和最大利润的模型。本研究以西爪哇UMKM (Usaha Mikro, Kecil, dan Menengah) Konfeksi Sawargi Jersey的服装生产数据为基础,应用整数线性规划模型,利用分支定界法在软件Python的帮助下进行求解,建立了生产优化模型。之所以进行这项研究,是因为有许多商业行为者从事同一领域,特别是在服装和体育部门,考虑到UMKM所有者经常面临的问题,如原材料供应、生产时间、生产成本、销售价格、生产利润、生产限制、最小和最大生产。基于本研究的结果,应用分支边界法对服装生产进行优化,比UMKM Konfeksi Sawargi Jersey进行实际生产得到了更优的结果和最大的利润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Apparel Production Optimization Model with Branch and Bound Method (Case Study: Sawargi Jersey Confectionery, West Java)
The production optimization model can find optimal results and maximum profits from a production activity by considering certain limitations. In this research, a production optimization model was created based on data on apparel production in UMKM (Usaha Mikro, Kecil, dan Menengah) Konfeksi Sawargi Jersey in West Java by applying the Integer Linear Programming model and solving it using the Branch and Bound Method with the help of Software Python. This research was conducted because there are many business actors engaged in the same field, especially in the apparel and sports sectors, considering the problems that are often faced by UMKM owners, such as raw material supplies, production time, production costs, selling prices, production profits, and production limits, minimum and maximum production. Based on this study's results, the Branch and Bound Method application to optimize apparel production obtains more optimal results and maximum profits than the actual production carried out by UMKM Konfeksi Sawargi Jersey.
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