PREDIKSI PRODUKSI PADA VENDOR MANAGED INVENTORY (VMI) DENGAN MENERAPAN RADIO FREQUENCY IDENTIFICATION (RFID) DAN FUZZY TIME SERIES (FTS)

  • Chamdan Mashuri Sistem Informasi, Fakultas Teknologi Informasi, Universitas Hasyim Asy’ari

Abstract

Inventory is a material deposit of a company in the form of raw materials, in-process goods and finished goods. Inventory is also a major factor in the center of corporate activity, one of which is influenced by demand or sales. Vendor managed inventory (VMI) is one of inventory control system that is very useful to improve company performance. This research uses Radio frequency identification (RFID) technology and uses fuzzy time series (FTS) method to predict demand or sales and leverage vendor managed inventory (VMI) model or system in which to apply formula for safety stock control which then developed by modeling business and Implemented in the form of web-based information systems. By using the actual historical data of sales for 5 years which then predicted by fuzzy time series method, and from prediction result is calculated for safety stock. By using 60 sample data from histori penjulan obtained Mean Absolute Deviation (MAD), Mean Square Error (MSE) and Mean Square Percent Error (MAPE) are 50,690, 4,600,953,015 and 15%. From the prediction results used for the calculation of safety stock in December 2106 obtained value of 135,535. This indicates that the fuzzy time series is good enough to be used in predicting demand or sales and stock control..

Keywords: VMI, Inventory, RFID, Fuzzy time series, Safety stock

Published
2019-06-15