IMPROVEMENT OF PACKAGING INVENTORY MANAGEMENT: A CASE STUDY OF A MEDICAL COTTON MANUFACTURER IN BANGKOK

Abstract

This research is a quantitative study with the objectives of (1) analyzing the appropriate level of safety stock (SS) and determining the reorder point (ROP) for branded packaging bags, (2) classifying inventory using the ABC-XYZ Classification technique and analyzing the economic order quantity (EOQ), and (3) forecasting the withdrawal volume using an appropriate time series model. The sample used in this study consisted of data on 63 types of branded packaging bags withdrawn from the inventory of a medical cotton manufacturing company in Bangkok, Thailand, between January 1 and December 31, 2024. The research tools included Microsoft Excel and the Prosoft Winspeed system. Data were analyzed using statistical methods along with ABC-XYZ Classification, EOQ, SS, ROP, and forecasting techniques. The research results revealed that (1) applying safety stock and reorder point effectively reduced problems related to stock shortages and excess inventory, (2) the ABC-XYZ Classification technique and EOQ improved inventory management efficiency, and (3) forecasting enabled more accurate purchasing plans and inventory control.