Optimizing the Amount of Production Using Hybrid Fuzzy Logic and Census II

Susana Limanto, Vincentius Riandaru Prasetyo, Mirella Mercifia
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引用次数: 0

Abstract

Companies should do planning before the production process. Production planning is expected to avoid excessive or insufficient product stocks that harm the company. This study aims to help a plastic spoon company in Gresik, East Java to determine the optimal amount of production using the Fuzzy method. The input variables used are the amount of demand and supply. However, the amount of demand that fluctuated, especially during the Covid-19 pandemic, made it difficult for the company to estimate the amount of demand in the upcoming production period. Therefore, in this study, the amount of demand is calculated from the results of forecasting with the Cencus II method. The results of the study provide an accuracy of the recommendations for the amount of production of 77% and an accuracy of forecasting results of 82%.
基于混合模糊逻辑和普查的产量优化[j]
企业应该在生产前做好计划。生产计划是为了避免产品库存过多或不足而损害公司。本研究旨在帮助东爪哇Gresik的一家塑料勺子公司使用模糊方法确定最佳产量。使用的输入变量是需求量和供给量。然而,需求量的波动,特别是在新冠疫情期间,使公司难以估计即将到来的生产时期的需求量。因此,在本研究中,需求的数量是根据预测结果,用Cencus II方法计算的。研究结果表明,产量建议的准确率为77%,预测结果的准确率为82%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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