Product Mixture of SKU to Pod Assignment Policy in Robotic Mobile Fulfillment System Warehouse

Nafisha Hanifha, Shuo-Yan Chou, Iwan Vanany

2023

Abstract

Robotic Mobile Fulfillment System Warehouse (RMFS) was purposefully created as a part-to-picker warehouse in response to the enormously good trend of e-commerce sales. There are numerous strategies to boost the warehouse’s effectiveness. The SKU to the pod, or product assignment policy, will be the main topic of this study. Three situations are presented in this study: SKU to pod using random, mixed classes, and mixed classes with affinity. The second and third scenarios are designed utilizing the Weighted Support Count. The ideal policy to improve warehouse efficiency is then determined by comparing these scenarios using a simulation approach. By examining the quantity of pods transported under each policy, it may be determined. The SKU to pod approach generates a larger pile-on the fewer pods there are. Therefore, the final scenario produces the best pile-on, with an average of 6.59 pods being carried per order. In contrast, the outcomes of the first and second situations are 7.06 and 6.90, respectively. Even if just 8% of SKUs make up the association’s rule, the figures indicate that the pile-on of the last scenario is 7% and 5% more than the other situations. The one-way ANOVA method is used to confirm this result.

Paper Citation

in Harvard Style

Hanifha N., Chou S. and Vanany I. (2023). Product Mixture of SKU to Pod Assignment Policy in Robotic Mobile Fulfillment System Warehouse. In Proceedings of the 4th International Conference on Advanced Engineering and Technology - Volume 1: ICATECH; ISBN 978-989-758-663-7, SciTePress, pages 33-41. DOI: 10.5220/0012103900003680

in Bibtex Style

@conference{icatech23,
author={Nafisha Hanifha and Shuo-Yan Chou and Iwan Vanany},
title={Product Mixture of SKU to Pod Assignment Policy in Robotic Mobile Fulfillment System Warehouse},
booktitle={Proceedings of the 4th International Conference on Advanced Engineering and Technology - Volume 1: ICATECH},
year={2023},
pages={33-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012103900003680},
isbn={978-989-758-663-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Advanced Engineering and Technology - Volume 1: ICATECH
TI - Product Mixture of SKU to Pod Assignment Policy in Robotic Mobile Fulfillment System Warehouse
SN - 978-989-758-663-7
AU - Hanifha N.
AU - Chou S.
AU - Vanany I.
PY - 2023
SP - 33
EP - 41
DO - 10.5220/0012103900003680
PB - SciTePress