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Design, storage location allocation and routing: a comprehensive comparison

Design, storage location allocation and routing: a comprehensive comparison With the current disturbance in the supply chain and sudden shift towards e-commerce with the onset and continued impact of COVID-19, warehousing and warehouse efficiency is once again in the spotlight. Analysing the performance of various methods and approaches in designing, planning, and operating a warehouse has been a subject of interest for researchers. This paper investigates the effect of four main factors in warehouse operations on order-picking total fulfilment time. The number of cross-aisles, storage location assigning approaches, location ranking methods, and routing methods have been examined using a real order data sample. Later, their effect on the order picking time in a traditional parallel aisle warehouse has been investigated. The authors also performed a full analysis of variance (ANOVA) and sensitivity analysis to find the best combination of design, storage location assigning problem (SLAP), and routing, for a set of order data. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Business Performance and Supply Chain Modelling Inderscience Publishers

Design, storage location allocation and routing: a comprehensive comparison

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1758-9401
eISSN
1758-941X
DOI
10.1504/ijbpscm.2023.133646
Publisher site
See Article on Publisher Site

Abstract

With the current disturbance in the supply chain and sudden shift towards e-commerce with the onset and continued impact of COVID-19, warehousing and warehouse efficiency is once again in the spotlight. Analysing the performance of various methods and approaches in designing, planning, and operating a warehouse has been a subject of interest for researchers. This paper investigates the effect of four main factors in warehouse operations on order-picking total fulfilment time. The number of cross-aisles, storage location assigning approaches, location ranking methods, and routing methods have been examined using a real order data sample. Later, their effect on the order picking time in a traditional parallel aisle warehouse has been investigated. The authors also performed a full analysis of variance (ANOVA) and sensitivity analysis to find the best combination of design, storage location assigning problem (SLAP), and routing, for a set of order data.

Journal

International Journal of Business Performance and Supply Chain ModellingInderscience Publishers

Published: Jan 1, 2023

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