Implementation of The Fuzzy Inference System to Determine The Amount of Purchase of Supplement Drug Products Based on Inventory and Sales Data at XYZ Pharmacy

Fani Puspitasari, S. D. Puspa, Christian Kenny Verel
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Abstract

The Health Service Industry is one of the important and crucial industries to be maintained in order to support the welfare of the community. XYZ Pharmacy, which is located in the Jakarta area, is one of the industrial companies engaged in Health Services and focuses on the skin and genital area. The need for planning the number of purchases of medicinal products for Inventory at XYZ Pharmacy is very important. It was found that there were problems with the company, namely experiencing a very large amount of stock and decreasing stock in supplement products so that many products expired and lost customer trust. The purpose of this study was to determine the number of drug purchases at XYZ Pharmacy to reduce decreasing or excess drug stock. The method used in this study is the Fuzzy Sugeno and Fuzzy Mamdani method. The application of the Fuzzy Sugeno and Fuzzy Mamdani methods uses three variables, namely: the number of inventories, the number of sales, and the number of drug purchases with the help of MATLAB software. Determination of safety stock and reorder points conducted by XYZ Pharmacy is carried out to minimize inventory running out which has an impact on customer satisfaction levels. The results of this study are In Fuzzy Mamdani's calculation, the Enervon C Tab Strip 4S/25 STRP product has a fulfilled presentation result of 79%. In Fuzzy Sugeno's calculation, the Enervon C Tab Strip 4S/25 STRP product has a fulfilled presentation result of 31%. It can be concluded that the application of Fuzzy Mamdani is better than the Fuzzy Sugeno method for calculating the inventory of Enervon C Tab Strip 4S/25 STRP products. In the calculation of the Safety Stock of the Enervon C Tab Strip 4S/25 STRP product, the results are 75 packs per month with reorder points of 80 packs per month for Calcium Carbonat + Vitamin D3 400 of 61 packs per month with reorder points of 65 packs per month.
基于库存和销售数据的模糊推理系统在XYZ药房补充药品采购数量确定中的实现
健康服务业是支持社会福利的重要和关键产业之一。位于雅加达地区的XYZ药房是从事保健服务的工业公司之一,重点是皮肤和生殖器区域。为XYZ药房的库存计划药品的采购数量是非常重要的。发现公司存在问题,即补品库存非常大,库存不断减少,导致很多产品过期,失去了客户的信任。本研究的目的是确定XYZ药房的药品采购次数,以减少药品库存的减少或过剩。本研究采用模糊Sugeno法和模糊Mamdani法。运用模糊Sugeno和模糊Mamdani方法,借助MATLAB软件,使用库存数量、销售数量和药品采购数量三个变量。XYZ药房进行安全库存和再订货点的确定,以尽量减少影响客户满意度水平的库存耗尽。在Fuzzy Mamdani的计算中,Enervon C Tab Strip 4S/25 STRP产品的完成率为79%。在Fuzzy Sugeno的计算中,Enervon C Tab Strip 4S/25 STRP产品的完成率为31%。结果表明,应用模糊Mamdani法计算Enervon C Tab Strip 4S/25 STRP产品库存优于模糊Sugeno法。在计算Enervon C Tab Strip 4S/25 STRP产品的安全库存时,结果是每月75包,碳酸钙+维生素D3 400每月61包,每月80包,每月65包。
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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