Reagent Stock Prediction Using Monte Carlo Method At Populer Clinical Laboratory Surabaya

Farah Dibba, Wiwiet Herulambang, Fardanto Setyatama
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Abstract

Prediction is important as decision are made earlier. Information are needed before prediction is optimallydone. Company operational supply can be predicted and depicted in computerized process. By doing so, a decisionbased on past probabilities could be made efficiently. In the simulation, stock of goods is important. Reagent stockprediction could be done by using Monte Carlo method. Monte Carlo method is one of a tool that can be used toanalyze common uncertainty in reagent stock procurement. The result of Monte Carlo prediction can help companyto determine the future amount of reagent stock. In this research, the forecast results 95,83% accuracy by using 2022annual stock data.
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用蒙特卡罗方法预测泗水市大众临床实验室试剂库存
预测是重要的,因为决策可以更早地做出。在进行最佳预测之前,需要信息。在计算机化的过程中,可以预测和描述公司的运营供应。通过这样做,基于过去概率的决策可以有效地做出。在模拟中,商品库存是重要的。用蒙特卡罗方法可以进行试剂库存预测。蒙特卡罗方法是分析试剂库存采购中常见不确定性的工具之一。蒙特卡罗预测的结果可以帮助公司确定未来的试剂库存数量。在本研究中,利用2022年的年度股票数据,预测结果准确率为95,83%。
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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