Inventory Cost Reduction and EOQ for Personal Protective Equipment: A Case Study in Oil and Gas Company
DOI:
https://doi.org/10.31334/logistik.v5i2.1880Keywords:
Inventory, Cost Reduction, EOQ, Personal Protective EquipmentAbstract
Personal Protective Equipment (PPE) is one of materials that is urgent for oil and gas companies. Company X is an upstream oil and gas company located in Indonesia that requires its employees to wear PPE. Therefore, the PPE inventory must be controlled carefully to maintain the level of PPE inventory. This research has an objective to reduce PPE inventory cost through the application of Economic Order Quantity (EOQ) method. To achieve this objectives, a research was conducted to 22 items of PPE in Company X. The research was conducted by forecasting PPE demand, calculating optimal quantity and ordering frequency, calculating safety stock and reorder point, and finally calculating the inventory cost reduction. The result shows that the implementation of EOQ has enabled the company to reduce its inventory cost by 19.72%. Therefore, it is advisable for Company X to design and implement EOQ as the inventory control program for PPE.References
Fithri, P., Hasan, A., & Asri, F.M. (2019). Analysis of Inventory Control by Using Economic Order Quantity Model – a Case Study in PT Semen Padang. Jurnal Optimasi Sistem Industri, 18(2), 116-124.
Fitriana, R., Moengin, P., & Riana, M. (2016). Information System Design of Inventory Control Spare Parts Maintenance (Valuation Class 5000): a Case Study: Plant KW. IOP Conference Series: Material Science and Engineering, 114(012076), 1-10.
Gustav, J.S., Sandora, R., & Arninputranto, W. (2018). Pengendalian Persediaan Alat Pelindung Diri dengan Metode EOQ yang Berbasis Web (Studi Kasus di Perusahaan Industri Gula). Proceeding 2nd Conference on Safety Engineering and Its Application,
Heizer, J.R. (2015). Operations Management Sustainability and Supply Chain Management. United States of America: Pearson Education.
Kulkarni, M. & Rajhans, N.R. (2013). Determination of Optimum Inventory Model for Minimizing Total Inventory Cost. Procedia Engineering, 51, 803-809.
Montgomery, D.J. (2008). Introduction to Time Series Analysis and Forecasting. New Jersey: John Wiley & Sons Inc
Occupational Safety and Health Administration. (2004). Personal Protective Equipment. Volume 2. United States of America: Department of Labor.
Panday, R., Novita, W.S., Sri, D., Husadha, C., & Yoganingsih, T. (2020). Cost and Quantity Inventory Analysis in the Garment Industry: A Case Study. International Journal of Advanced Science and Technology, 29(9s), 2195-2203.
Rusdiana, A. (2014). Manajemen Operasi. Bandung: CV Pustaka Setia.
. Santoso, S. (2009). Business Forecasting: Metode Peramalan Bisnis Masa Kini dengan Minitab dan SPSS. Jakarta: PT Elex Media Komputindo.
Shenoy, D. (2018). Problems and Solutions in Inventory Management. Switzerland: Springer International Publishing.
Sunhal, A.S., & Mangal, D. (2017). Analysis of Inventory Management in A Supply Chain by Using Economic Order Quantity (EOQ) Model. International Journal of Engineering Sciences and Research Technology, 6(10), 303-309.
Wei, S. (2006). Time Series Analysis Univariate and Multivariate Methods Classic Version. United States of America: Pearson Education.
Wenda, B.A., & Rispianda, R. (2015). Usulan Pemesanan Sepatu Keselamatan dengan Model Economic Order Quantity. Reka Integra, 3(1), 176-187.
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