Proposed Forecasting and Inventory Management System to Reduce Out of Stock: A Case Study of Distributor of Agricultural Product
- DOI
- 10.2991/978-94-6463-234-7_38How to use a DOI?
- Keywords
- Out of Stock; Demand Forecasting; Inventory Management; Warehouse
- Abstract
A distributor of agricultural products sells Rockwool, which is imported from the Netherlands. The problem faced by the distributor is the product that is often out of stock resulting in a reduced customer service level. This research aims to overcome the out stock of Rockwool products by proposing a forecasting and inventory management system. The method used is by comparing 8-time series analysis methods based on the last 3 years and comparing 3 models of the inventory management system based on the last 1 year. The forecast method is determined based on the smallest forecast error, and the inventory management system is determined based on a model that applies to the company. The result showed that simple exponential smoothing with an alpha of 0.38 was chosen as the forecast method, and the fixed order quantity model was chosen as an inventory management system. Besides ensuring stock availability, this result also provides cost savings.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Kiagus Muhammad Amris Amrullah AU - Gatot Yudoko PY - 2023 DA - 2023/09/29 TI - Proposed Forecasting and Inventory Management System to Reduce Out of Stock: A Case Study of Distributor of Agricultural Product BT - Proceedings of the 7th Global Conference on Business, Management, and Entrepreneurship (GCBME 2022) PB - Atlantis Press SP - 382 EP - 388 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-234-7_38 DO - 10.2991/978-94-6463-234-7_38 ID - Amrullah2023 ER -