Xuan Wang
Impact of digital technology on supply chain efficiency in manufacturing industry
Wang, Xuan; Kumar, Vikas; Kumari, Archana; Kuzmin, Evgeny
Authors
Professor Vikas Kumar Vikas.Kumar@uwe.ac.uk
Professor in Operations and Supply Chain Management
Archana Kumari
Evgeny Kuzmin
Contributors
Professor Vikas Kumar Vikas.Kumar@uwe.ac.uk
Editor
Jiewu Leng
Editor
Victoria Akberdina
Editor
Evgeny Kuzmin
Editor
Abstract
With the advancement of digital technologies, supply chain management is changing dramatically. However, the practice and application of digital supply chains are complex and challenging. Some studies claim that technology is the core element, while others believe that efficient configuration and collaboration of technical functions assure successful applications. To address this gap, this research conducts a systematic literature review to analyze how digital technologies particularly the Internet of Things (IoT) and Artificial Intelligence (AI) impact supply chain efficiency in Manufacturing Industry. The study also identifies some challenges of digital supply chain (DSC) implementation. Analysis of this study is based on a systematic literature review of 59 studies that were selected using a combination of relevant keywords and specified inclusion and exclusion criteria. The results show that both IoT and AI are the closest technologies related to the autonomy and predictive power of future supply chain expectations. The convergence of the two technologies optimizes all aspects of manufacturing and opens up more possibilities for smart factories. This research also explored DSC challenges and problems that take into consideration to expand the approaches to DSC success factors derived from existing literature. Many papers have discussed DSC technology from the perspective of the application. They demonstrate the positive impact of those digital technologies to successfully achieve digital and intelligent supply chains on firm performance by improving the efficiency of SCM.
Online Publication Date | Dec 31, 2022 |
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Publication Date | Dec 31, 2022 |
Deposit Date | Dec 19, 2021 |
Publicly Available Date | Jan 1, 2025 |
Publisher | Springer (part of Springer Nature) |
Pages | 28 |
Series Title | Lecture Notes in Information Systems and Organisation |
Series ISSN | 2195-4968 |
Book Title | Digital Transformation in Industry: Digital Twins and New Business Models |
ISBN | 9783030946166 |
DOI | https://doi.org/10.1007/978-3-030-94617-3 |
Keywords | Supply Chain Efficiency, Digital Technology, Manufacturing |
Public URL | https://uwe-repository.worktribe.com/output/8277185 |
Contract Date | Nov 24, 2021 |
Files
This file is under embargo until Jan 1, 2025 due to copyright reasons.
Contact Vikas.Kumar@uwe.ac.uk to request a copy for personal use.
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