汽车销售委员会采用蒙特卡洛方法优化成本预测

Zupri Henra Hartomi, Yuhandri, Julius Santony
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引用次数: 3

摘要

销售是每个公司的主要收入来源。每一个公司在营销一种产品时,都应该控制潜在的市场以获取利润。预测销售数量对分析销售进度很重要。本研究旨在协助企业根据前一年的销售数据预测汽车销售及汽车佣金成本预算。研究中使用的数据是Arengka auto Pekanbaru Showroom (SAA Pekanbaru) 2017年和2018年的汽车销售数据。研究中的数据处理采用蒙特卡罗方法。进行的测试结果表明,市场营销在1年内销售汽车的平均准确率为94%,销售佣金为411万卢比。根据这些结果进行人工计算,使其具有较大的精度值,应用模拟蒙特卡罗方法可行,可应用于公司在未来的决策中,计划汽车销售佣金成本的估计预算,并作为评估南航北坎巴鲁营销绩效的手段。
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Optimalisasi Prediksi Biaya Komisi Penjualan Mobil Menggunakan Metode Monte Carlo
Sales are the main source of income for every company. Every company in marketing a product, should control the potential market for profit. Predicting the number of sales is important in analyzing sales progress. This study aims to assist companies in predicting car sales and car commission cost budgets based on sales data from the previous year.The data used in the study are car sales data for 2017 and 2018 in the Arengka Automall Pekanbaru Showroom (SAA Pekanbaru).Data processing in research uses the Monte Carlo method.The results of tests that have been carried out state that car sales by Marketing within 1 year resulted in an average accuracy rate of 94% and sales commission fee of Rp 411.000.000.From these results in accordance with calculations performed manually so that with a large accuracy value, the application of the simulation using this Monte Carlo Method feasible to be applied by companies in future decision making to plan the estimated budget for the cost of a car sales commission and as a means to assess Marketing performance at SAA Pekanbaru.
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