Journal Industrial Servicess
Vol 10, No 2 (2024): October 2024

Application of heuristic algorithms in warehouse order picking routes

Purwanto, Cipto (Bina Nusantara University)
Oktarina, Rienna (Bina Nusantara University)



Article Info

Publish Date
25 Mar 2025

Abstract

Order picking is a costly activity in warehouse operations, accounting for up to 65% of total warehouse operational costs. This study aims to improve the efficiency and productivity of the order picking process in a warehouse by applying two heuristic methods, namely the S-Shape and aisle-by-aisle approaches. Data were processed using InterActive Freight & Warehouse software, which is designed for warehousing and logistics management with interactive features that assist in optimizing order picking routes. The software employs heuristic methods, such as the S-Shape and aisle-by-aisle strategies, to reduce the distance workers travel to pick goods. The results show that the S-Shape method significantly reduces workers' travel distance compared to other methods. Thus, the application of heuristic methods in optimizing order picking routes proves effective in enhancing warehouse operational efficiency. The S-Shape method yields an average total distance traveled of 678.729 meters, while the aisle-by-aisle method results in 684.04 meters. Additionally, the S-Shape method increases line order productivity from 30 lines of orders per packing list to 84 lines of orders per packing list, with a cycle time of 45.25 seconds to complete the picking process for one line of orders.

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Journal Info

Abbrev

jiss

Publisher

Subject

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

Description

Jurnal Industrial Servicess merupakan wadah bagi peneliti untuk publikasi jurnal hasil penelitian yang ruang lingkupnya melingkupi: Logistics & Supply Chain Management Operations Research Quality, Reliability, and Maintenance Management Data Mining & Artificial Intelligence Production Planning & ...