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

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Application of heuristic algorithms in warehouse order picking routes Purwanto, Cipto; Oktarina, Rienna
Journal Industrial Servicess Vol 10, No 2 (2024): October 2024
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/jiss.v10i2.28595

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.
Co-Authors Purwanto, Cipto