26 April 2024 | Tim Media UISI

Order Picking System Simulation Model Considering Picking Method and Picker Route to Improve Warehouse Performance

This paper presents a comprehensive study to improve warehouse performance by optimizing the orderpicking process. The authors developed a simulation model to analyze the impact of various order-picking methods and tour routes on the order-picking time.

1st Muhammad Faisal Ibrahim
Logistics Engineering
Univ Internasional Semen Indonesia
Gresik, Indonesia
muhammad.ibrahim@uisi.ac.id 

2nd Prita Meilanitasari
Logistics Engineering
Univ Internasional Semen Indonesia
Gresik, Indonesia
prita.meilanitasari@uisi.ac.id 

3rd Maulin Masyito Putri
Logistics Engineering
Univ Internasional Semen Indonesia
Gresik, Indonesia
maulin.putri@uisi.ac.id 

 

4th Fahd Han Bey Ardafan
Logistics Engineering
Univ Internasional Semen Indonesia
Gresik, Indonesia
fahd.ardafan20@student.uisi.ac.id 

5th Hikmah Sekarningtyas
Logistics Management
Politeknik Rukun Abdi Luhur
Kudus, Indonesia
hikmah.sekar@gmail.com 

 

Abstract

This paper presents a comprehensive study to improve warehouse performance by optimizing the orderpicking process. The authors developed a simulation model to analyze the impact of various order-picking methods and tour routes on the order-picking time. The study reveals that the current order-picking system is plagued with high unfinished picklists and prolonged waiting times, negatively impacting warehouse performance. To address these issues, the authors propose 12 improvement scenarios that combine different tour routes, picking methods, and picker numbers. The findings suggest that transitioning to a pick-by-voice picking method is more effective in reducing incomplete picklists than increasing the number of pickers. The most efficient scenario is Scenario 8, which incorporates the mid-point route, pick-by-voice picking method, and two pickers. The paper concludes that the choice of the order-picking method significantly influences warehouse performance, thereby encouraging future research to explore other order-picking methods and delve deeper into the process.


Keywords— simulation, order picking, warehouse

 

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