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

Markus Epe, Muhammad Azmat, Dewan Md Zahurul Islam, Rameez Khalid

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Article number106
Number of pages25
JournalLogistics
Volume8
Issue number4
Early online date17 Oct 2024
DOIs
Publication statusPublished - Dec 2024

Bibliographical note

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/).

Data Access Statement

The researchers could not obtain written consent from the participants to make the data for this research available for further research.

Keywords

  • Order Picking
  • Smart Glasses
  • Smart Warehouse
  • Digitalisation
  • Warehoue Operations
  • Logistics Performance
  • Warehouse Performance
  • Smart Logistics
  • innovation

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