Muhammad Qadafi, Endang Suhendar, Aliffia Teja Prasasty
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Based on the results of the research conducted, it can be concluded that the analysis of demand forecasting calculations on AMDK products at CV Tirta Alam Dodu was carried out using historical data on product demand through five analytical methods, including Linear Trend, Moving Average, Exponential Smoothing, Decomposition, and Winter's Model. The best forecasting resulted in Winter's Model which showed the smallest error value compared to the other four models. The way to minimize so that it does not become a bullwhip effect is to use the CPFR method, where the bullwhip effect value is obtained on glass mineral water products and gallons of mineral water of 0,985 and 0,898, respectively. This result shows that there is no amplification of demand and has reached the company's target, which is to fall below number one. The way to optimize inventory so that there is no excess stock or shortage of stock in the product is to make the amount of inventory based on the amount of demand from the forecasting results plus the safety stock.","PeriodicalId":345326,"journal":{"name":"Operations Excellence: Journal of Applied Industrial Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Pengurangan Bullwhip Effect pada Rantai Pasok Air Minum Dalam Kemasan Menggunakan Metode Collaborative Planning, Forecasting, and Replenishment (CPFR): Studi Kasus\",\"authors\":\"Muhammad Qadafi, Endang Suhendar, Aliffia Teja Prasasty\",\"doi\":\"10.22441/oe.2022.v14.i3.065\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"CV Tirta Alam Dodu is a privately owned company engaged in the beverage industry in the form of AMDK. 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The way to minimize so that it does not become a bullwhip effect is to use the CPFR method, where the bullwhip effect value is obtained on glass mineral water products and gallons of mineral water of 0,985 and 0,898, respectively. This result shows that there is no amplification of demand and has reached the company's target, which is to fall below number one. 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引用次数: 1
摘要
CV Tirta Alam Dodu是一家以AMDK的形式从事饮料行业的私营公司。该公司面临的问题是需求和销售之间存在差异,或者更广为人知的牛鞭效应问题。本研究的目的是为了减少供应链上的牛鞭效应,并根据需求的多少来优化产品的库存量。所使用的方法是协同规划、预测和补充(CPFR)方法。根据研究结果,本文采用线性趋势、移动平均、指数平滑、分解和Winter’s Model五种分析方法,对CV Tirta Alam Dodu地区AMDK产品的需求预测计算进行了分析。与其他四种模型相比,冬季模型的预测效果最好,误差值最小。将其最小化以使其不成为牛鞭效应的方法是使用CPFR方法,其中牛鞭效应值分别在玻璃矿泉水产品和加仑矿泉水上获得0,985和0,898。这个结果说明没有需求放大,达到了公司的目标,也就是降到第一名以下。优化库存的方法是根据预测结果的需求量加上安全库存量来确定库存量,使产品既不过剩也不短缺。
Pengurangan Bullwhip Effect pada Rantai Pasok Air Minum Dalam Kemasan Menggunakan Metode Collaborative Planning, Forecasting, and Replenishment (CPFR): Studi Kasus
CV Tirta Alam Dodu is a privately owned company engaged in the beverage industry in the form of AMDK. The problem faced by the company is that there is a difference between demand and sales, or better known as the bullwhip effect problem. The purpose of this study is to reduce the bullwhip effect on the supply chain and optimize the amount of product inventory according to the amount of demand. The method used is the Collaborative Planning, Forecasting, and Replenishment (CPFR) method. Based on the results of the research conducted, it can be concluded that the analysis of demand forecasting calculations on AMDK products at CV Tirta Alam Dodu was carried out using historical data on product demand through five analytical methods, including Linear Trend, Moving Average, Exponential Smoothing, Decomposition, and Winter's Model. The best forecasting resulted in Winter's Model which showed the smallest error value compared to the other four models. The way to minimize so that it does not become a bullwhip effect is to use the CPFR method, where the bullwhip effect value is obtained on glass mineral water products and gallons of mineral water of 0,985 and 0,898, respectively. This result shows that there is no amplification of demand and has reached the company's target, which is to fall below number one. The way to optimize inventory so that there is no excess stock or shortage of stock in the product is to make the amount of inventory based on the amount of demand from the forecasting results plus the safety stock.