Material Procurement Recommendation System for Property Developer Companies using ARIMA and AHP Methods

Hasyim Asy'ari, Endang Setyati, Suhatati Tjandra
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Abstract

This research aims to help companies to be able to estimate the procurement of materials in property development, control material stocks in warehouses, and determine which suppliers can support to meet these needs with predetermined criteria, namely the supplier's distance to the project location, delivery speed, suitability orders, good quality materials and affordable prices. The method used to estimate the quantity of material procurement in maintaining the availability of material stock in the warehouse is the Auto Regressive Moving Average (ARIMA) method and the Analytical Hierarchy Process (AHP) as a method for determining material suppliers. The results of this study indicate that the average percentage of forecasting errors is 6.1%. As for the selection of material suppliers, the AHP method can recommend which suppliers are eligible to be selected based on predetermined criteria, then the results are sorted based on the highest ranking.
基于ARIMA和AHP方法的房地产开发企业材料采购推荐系统
本研究的目的是帮助公司能够估计采购的材料在房地产开发,控制材料库存在仓库,并确定哪些供应商可以支持满足这些需求与预定的标准,即供应商的距离项目所在地,交货速度,适用性订单,优质的材料和合理的价格。在维持仓库中材料库存的可用性中,用于估计材料采购数量的方法是自动回归移动平均(ARIMA)方法和层次分析法(AHP)作为确定材料供应商的方法。研究结果表明,预测误差的平均百分比为6.1%。对于材料供应商的选择,AHP方法可以根据预先确定的标准推荐哪些供应商有资格被选择,然后按照排名最高的顺序对结果进行排序。
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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