Sugiyono Madelan
Universitas Mercu Buana, Jakarta, Indonesia

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Spare Parts Demand Forecasting During Covid 19 pandemic Herlita Doresdiana; Sugiyono Madelan; Ahmad Badawi Saluy
Dinasti International Journal of Economics, Finance & Accounting Vol 2 No 2 (2021): Dinasti International Journal of Economics, Finance & Accounting (May - June 2021
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v2i2.852

Abstract

The research was conducted to analyze the calculation of demand forecasting and inventory of spare parts . The data collection method uses descriptive quantitative by conducting literature studies, interviews, and collecting sample data of 140 spare parts from June 2019 to June 2020. The data classification process with FSN method, obtained 13 fast moving spare parts use for calculating demand forecasting based on the Triple Exponential Smoothing method. The results from the trial error to get the smoothing value of alpha, beta and gamma errors prioritize to best MAPE <5%. Some MAPE errors above 5% are X000000 000254 MAPE = 5.68% , X000000 005566 MAPE = 21.12, X400 401 10 72 MAPE = 13.14, and X400 401 26 71 MAPE = 16.70. The calculation result of safety stock and reorder point find 4 spare parts have low level inventory have to reorder.
Efficiency Analysis of Excavator Nut Inventory Using Economic Order Quantity Method at PT. ABCDE Bekasi-Jawa Barat Mohammad Fahmi Kurniawan; Sugiyono Madelan; Ahmad Badawi Saluy
Dinasti International Journal of Economics, Finance & Accounting Vol 2 No 3 (2021): Dinasti International Journal of Economics, Finance & Accounting (July - August 2
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v2i3.859

Abstract

Inventory management is one of the keys to the success of the production process in any company, including manufacturing companies. Therefore, determining the optimal amount of inventory is crucial for inventory management. In a production process, sometimes a condition is found where the amount of inventory far exceeds what is needed, so that in the process of implementing the specifications change of an inventory will take quite a long time, this is due to an effort to use up obsolete inventory first, so it is necessary to calculate the optimal value of the company inventory. In this research, using the Economic Order Quantity and Reorder Point analysis method in the POM-QM software, it is expected to determine the optimal value of the purchase amount, Safety Stock, Reorder Point, and the required inventory costs of J950010 nuts. The results showed that although there were differences between the results of the POM-QM calculation and the application in the field, the management of J950010 nut stock is optimal.
Analysis of Packaging Raw Material Requirements in Inventory Management PT. XYZ Mentari Larasati; Sugiyono Madelan; Ahmad Badawi Saluy
Dinasti International Journal of Economics, Finance & Accounting Vol 2 No 3 (2021): Dinasti International Journal of Economics, Finance & Accounting (July - August 2
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v2i3.862

Abstract

This study aims to determine the grouping of packaging raw material inventory and inventory planning that can minimize the total inventory cost of packaging raw materials at PT. XYZ. The population in this study is secondary data in the form of purchasing, production, and supply of packaging raw materials with sample data as much as the period January 2020 - December 2020. Data analysis methods used Minitab software and POM QM. The results show that the EOQ method can save the total inventory cost of fast moving-vital product in 2021 is Rp. 143,066 with the total number of requests being 1,227,214 pcs higher than the company's current method.