Enabling Technologies for Industry 4.0 Manufacturing and Supply Chain: Concepts, Current Status, and Adoption Challenges

被引:45
作者
Raut R.D. [1 ]
Gotmare A. [2 ]
Narkhede B.E. [3 ]
Govindarajan U.H. [4 ]
Bokade S.U. [2 ]
机构
[1] Department of Operations and Supply Chain Management, National Institute of Industrial Engineering, Mumbai
[2] Department of Mechanical Engineering, MCT's Rajiv Gandhi Institute of Technology, Mumbai
[3] Department of Industrial Engineering and Management Systems, National Institute of Industrial Engineering, Mumbai
[4] Sino US Global Logistics Institute, Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai
来源
IEEE Engineering Management Review | 2020年 / 48卷 / 02期
关键词
Advanced manufacturing; enabling technologies; Industry; 4.0; supply chain management; technology adoption challenges;
D O I
10.1109/EMR.2020.2987884
中图分类号
学科分类号
摘要
Purpose: This article aims to evaluate the current adoption of Industry 4.0, enabling technologies (I4.0-ET) in the manufacturing and supply chain management (SCM) context. The evaluation provides insights on critical concepts, current status, and adoption challenges. Further, a summation of underexplored research areas in the I4.0-ET context is presented. Methodology: This article applies a systematic literature review approach to present essential literature across multiple databases. The search scope includes Scopus, Web of Science, Science Direct, EBSCO, and ProQuest. Research publications have systematically been selected with a focus on the adoption of I4.0-ET to provide collective insights through theoretical synthesis into fields and subfields. The selected publications are further classified into five groups depending on relevance to manufacturing and SCM to aid additional visualizations. Findings: The article reveals 65% of the articles published between 2015 and 2019. An in-depth analysis of these publications shows the adoption of I4.0-ET in the manufacturing and supply chain sector gained attention in recent years and is still at a nascent stage. There are substantial challenges that need to be addressed to accelerate adoption. These challenges are discussed in detail as avenues for future research. Practical Implications: This article facilitates practicing managers toward enabling technologies concepts, challenges, and risks linked with its adoption in manufacturing and SCM. The discussions help frame strategies to prioritize efforts for I4.0-ET incorporation. Originality: This article is among the first to provide theoretical contributions by performing in-depth analysis and classification of existing literature on the adoption of I4.0-ET in manufacturing and SCM context. © 1973-2011 IEEE.
引用
收藏
页码:83 / 102
页数:19
相关论文
共 106 条
  • [61] Pattnayak P., Pradhan J., Minimizing cost using cloud computing with RFID based supply chain management, International Journal of Control Theory and Applications, 9, 20, pp. 159-164, (2016)
  • [62] Pool J.K., Arabzad S.M., Asadi A., Ansari M.R., RFID acceptance in SMEs using TOE framework: An empirical investigation on Iranian SMEs, International Journal of Logistics Systems and Management, 21, 3, pp. 335-347, (2015)
  • [63] Queiroz M.M., Wamba S.F., Blockchain adoption challenges in supply chain: An empirical investigation of the main drivers in India and the USA, International Journal of Information Management, 46, pp. 70-82, (2019)
  • [64] Radke A.M., Tseng M.M., Design considerations for building distributed supply chain management systems based on cloud computing, Journal of Manufacturing Science and Engineering, 137, 4, (2015)
  • [65] Rahmanzadeh S., Pishvaee M.S., Rasouli M.R., Integrated innovative product design and supply chain tactical planning within a blockchain platform, International Journal of Production Research, pp. 1-21, (2019)
  • [66] Ramudhin A., Paquet M., Artiba A., Dupr-E P., Varvaro D., Thomson V., A generic framework to support the selection of an RFID-based control system with application to the MRO activities of an aircraft engine manufacturer, Production Planning and Control, 19, 2, pp. 183-196, (2008)
  • [67] Ranjan S., Jha V.K., Pal P., Antecedents and imperatives of integrating SCM and ERP in manufacturing organizations: A coneptual perspective with big data analytics, International Journal of Control Theory and Applications, 9, 10, pp. 4423-4431, (2016)
  • [68] Raut R.D., Mangla S.K., Narwane V.S., Gardas B.B., Priyadarshinee P., Narkhede B.E., Linking big data analytics and operational sustainability practices for sustainable business management, Journal of Cleaner Production, 224, pp. 10-24, (2019)
  • [69] Rehman M.H.U., Chang V., Batool A., Wah T.Y., Big data reduction framework for value creation in sustainable enterprises, International Journal of Information Management, 36, 6, pp. 917-928, (2016)
  • [70] Rejeb A., Keogh J.G., Treiblmaier H., Leveraging the Internet of Things and blockchain technology in supply chain management, Future Internet, 11, 7, (2019)