Performance Improvement of the Warehouse Department at Store A: A Case Study of KK Metal 2012 Co., Ltd.

Abstract

This research aimed to develop and evaluate the effectiveness of a no-code application to improve the item-picking process in Warehouse A, with the goal of reducing operational errors and enhancing employee efficiency. The research procedure involved analyzing the root causes of errors using a Fishbone Diagram in conjunction with Human Factors principles and Why-Why Analysis. The results were then applied to design and develop a ready-to-use application using Glide App. The research sample consisted of eight warehouse employees, and the study compared performance before and after system implementation over a four-month period (November 2023 – February 2024). The findings indicated that incorrect item-picking errors decreased from 18 to 7 cases (a reduction of 61.11%), and over-picking errors decreased from 8 to 3 cases (a reduction of 62.50%). Consequently, damage costs were reduced from 3,211 THB to 645 THB (a reduction of 79.91%). The results demonstrate that no-code technology, specifically Glide App, can effectively reduce warehouse operational errors. Moreover, employee satisfaction toward the application was at a high level (𝑥̅ = 4.06, S.D. = 0.791). These outcomes highlight the importance for organizations to adopt digital tools that support employee workflows in order to enhance warehouse standards and operational efficiency sustainably.