Analysis of hessian sack inventory system using eoq method at xyz logistics company

M.Syafaruddin Mahaputra ,Galih Raka Sri Guritno ,Muhamad Ilham Nasirul Haq ,Eri Nugraha ,Arsyad Arid
Keywords: Economic Order Quantity Method, Normality Test, Forecasting. ,

Abstract

The business process in XYZ logistics company is divided into four stages of the logistics service provision process. In these four stages, it is not uncommon for some packages to be scattered due to their small size. This, of course, causes losses for the company as it has to bear the cost of compensation for the lost packages. To address this issue, the company has implemented a policy that mandates the use of sacks in stages 1, 2, and 3. The mandatory use of sacks has led to an increase in sack consumption. However, the high consumption of sacks has resulted in irregular ordering, compounded by limited available space. The determination of Hessian sack stock using the Economic Order Quantity method to determine the economically optimal order quantity that meets the company's needs. The data used is based on historical data, specifically the usage data of printed Hessian sacks over a period of 12 months from August 2021 to July 2022. Microsoft Excel 2019 software was used for data analysis. The field research was conducted at the Sorting Center located in North Jakarta.