优化食品饮料中小微企业的生产规划:covid-19 大流行病案例

Vita Sarasi, Nugroho Djati Satmoko, Vivian Winita
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引用次数: 0

摘要

食品和饮料行业的中小微型企业(MSMEs)是受 COVID-19 爆发负面影响的行业之一,尽管该行业是印尼非石油和天然气行业国内生产总值的最大贡献者之一。本研究旨在通过对印尼勿加泗 Mahkota Caman 中小微企业的案例研究来概述解决方案,该企业在疫情期间销售额下降,导致库存过多和非耐用原材料受损。因此,导致库存成本增加,甚至造成销售损失。本研究提供的解决方案是优化生产计划,即确定在一定时期内应生产哪些产品以及这些产品的数量。采用的方法是目标编程法,包括有优先权和无优先权两种方法,这样 Mahkota Caman 公司就能满足消费者的需求,最大限度地降低生产成本,同时最大限度地减少原材料的采购量。研究结果表明,Mahkota Caman 采用的最佳优化方法是有优先权的目标编程法,因为它能更有效地解决生产成本和原材料采购问题。根据本研究的结果,建议食品和饮料行业的中小微企业在大流行病期间使用优化方法,并避免在生产计划中仅使用感觉。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization of production planning for food and beverage MSMEs: case in the covid-19 pandemic
Micro, Small, and Medium Enterprises (MSMEs) in the food and beverage sector is one of the sectors negatively affected by the COVID-19 outbreak, even though this sector is one of the largest contributors to the Gross Domestic Product of the non-oil and gas industry in Indonesia. This study intends to provide an overview of solutions in the form of case studies on the Mahkota Caman MSME in Bekasi, Indonesia, which experienced a decline in sales during the pandemic, resulting in overstock and damage to non-durable raw materials. As a result, it leads to an increase in inventory costs and even a loss of sales. The solution offered by this study is an optimization of production planning, namely determining what products and how many of these products should be produced in a certain period. The method used is goal programming, both with and without priority, so that Mahkota Caman can meet consumer demands, and minimize production costs, while minimizing the purchase of raw materials. The results of this study indicate that the optimal optimization method used by Mahkota Caman is goal programming with priority because it provides a more efficient solution to production costs and the purchase of raw materials. Based on the results of this study, it is recommended that optimization methods be used by MSMEs in the food and beverage sector during a pandemic, and to avoid using only feeling in production planning.
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