Validating Warehouse Picking Strategies Using Simulation: Case Study of a Plumbing Equipment Firm
Abstract
In today competitive business environment, efficient logistics are essential, especially in industries where timely delivery matters. This research aims to improve warehouse picking cycle time through simulation-based analysis, using a leading plumbing equipment distributor in Thailand as a case study. The study identifies inefficiencies such as disorganized storage and poor placement of high-frequency items that slow down picking. To address this, an optimized storage approach using ABC analysis is proposed, prioritizing high-demand items near the entrance. Three storage policies-Fixed, Random, and Combination (Fixed Zone)-are tested with a Zone Picking strategy through simulation to identify the most efficient picking routes. The findings provide insights for improving warehouse layout and inventory placement to enhance overall performance.
Authors: Phattara Khumprom, Wanatchapong Kongkaew, Antoun Yaacoub, Nattakit Thanawitsatien
Published in: arXiv (Cornell University) (2025)