Use of Smart Glasses for Boosting Warehouse Efficiency: Implications for Change Management

Abstract

Background: Warehousing operations, crucial to logistics and supply chain management, often seek innovative technologies to boost efficiency and reduce costs. For instance, AR devices have shown the potential to significantly reduce operational costs by up to 20% in similar industries. Therefore, this paper delves into the pivotal role of smart glasses in revolutionising warehouse effectiveness and efficiency, recognising their transformative potential. However, challenges such as employee resistance and health concerns highlight the need for a balanced trade-off between operational effectiveness and human acceptance. Methods: This study uses scenario and regression analyses to examine data from a German logistics service provider (LSP). Additionally, structured interviews with employees from various LSPs provide valuable insights into human acceptance. Results: The findings reveal that smart glasses convert dead time into value-added time, significantly enhancing the efficiency of order picking processes. Despite the economic benefits, including higher profits and competitive advantages, the lack of employee acceptance due to health concerns still needs to be addressed. Conclusions: After weighing the financial advantages against health impairments, the study recommends implementing smart glass technology in picking processes, given the current state of technical development. This study’s practical implications include guiding LSPs in technology adoption strategies, while theoretically, it adds to the body of knowledge on the human-technology interface in logistics.

Publication DOI: https://doi.org/10.3390/logistics8040106
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences
Aston University (General)
Funding Information: This research received no external funding.
Additional Information: Copyright © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Uncontrolled Keywords: Order Picking,Smart Glasses,Smart Warehouse,Digitalisation,Warehoue Operations,Logistics Performance,Warehouse Performance,Smart Logistics,innovation
Publication ISSN: 2305-6290
Data Access Statement: The researchers could not obtain written consent from the participants to make the data for this research available for further research.
Last Modified: 12 Nov 2024 13:07
Date Deposited: 12 Nov 2024 13:07
Full Text Link:
Related URLs: https://www.mdp ... 05-6290/8/4/106 (Publisher URL)
PURE Output Type: Article
Published Date: 2024-12
Published Online Date: 2024-10-17
Accepted Date: 2024-09-30
Authors: Epe, Markus
Azmat, Muhammad (ORCID Profile 0000-0002-8894-3737)
Islam, Dewan Md Zahurul
Khalid, Rameez

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