INCREASING WAREHOUSE THROUGHPUT THROUGH THE DEVELOPMENT OF A DYNAMIC CLASS-BASED STORAGE ASSIGNMENT ALGORITHM

Authors

DOI:

https://doi.org/10.7166/33-2-2651

Keywords:

Storage policy, SLAP, Inventory Management

Abstract

This study investigates the problems faced by an agricultural wholesaler arising from an inefficient random storage assignment policy. Research was conducted on warehouse operations and storage policies. The ABC classification technique was used to create a class-based storage assignment policy. This policy was then input into an algorithm that packs products according to how frequently they are ordered. The aim of the algorithm is to store fast-moving products closest to the shipping area. If this is done, the order picking times would decrease by an average of 3 hours 20 mins per day. This would increase the warehouse’s throughput and profitability.

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Author Biographies

Sara Elizabeth McInerney, University of Pretoria

BEng Industrial and Systems engineering

Sarma Yadavalli, University of Pretoria

HOD of Industrial engineer at the University of Pretoria

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Published

2022-07-29

How to Cite

McInerney, S. E., & Yadavalli, S. (2022). INCREASING WAREHOUSE THROUGHPUT THROUGH THE DEVELOPMENT OF A DYNAMIC CLASS-BASED STORAGE ASSIGNMENT ALGORITHM. The South African Journal of Industrial Engineering, 33(2), 157–167. https://doi.org/10.7166/33-2-2651

Issue

Vol. 33 No. 2 (2022)

Section

Case Studies

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