Mukesh Ganchi,
- Assistant Professor Mechanical Department, Geetanjali Institute of Technical Studies Rajasthan India
Abstract
The integration of Industry 4.0 technologies has become pivotal in reshaping material flow and handling paradigms within logistics management. This paper presents an in-depth analysis of this transformative phenomenon. Industry 4.0’s emergence has heralded an era of unprecedented automation, seamless data exchange, and cutting-edge technologies, fundamentally altering conventional logistics practices. Through an extensive review of recent literature, this study meticulously examines the profound impact of Industry 4.0 on material flow and handling dynamics, delineates the pivotal technologies driving this transformation, and meticulously evaluates the ensuing benefits and challenges. Moreover, this paper delves into the ramifications of Industry 4.0 integration on logistics management strategies, elucidating potential pathways for optimizing material flow and handling processes in the contemporary landscape.
Keywords: Industry 4.0, logistics management, material flow, automation, technology integration, advanced logistics, strategic management.
[This article belongs to International Journal of Advanced Robotics and Automation Technology(ijarat)]
References
- Chopra, S., & Meindl, P. (2019). Supply chain management: Strategy, planning, and operation. Pearson.
- Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 31(1), 63-74.
- Kusiak, A. (2018). Smart manufacturing. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 8(4), e1258.
- Lee, J., Bagheri, B., & Kao, H. A. (2015). A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manufacturing Letters, 3, 18-23.
- Monostori, L., Kádár, B., Bauernhansl, T., Kondoh, S., Kumara, S., Reinhart, G., & Sauer, O. (2016). Cyber-physical systems in manufacturing. CIRP Annals, 65(2), 621-641.
- Scholz-Reiter, B., Thoben, K. D., & Delfmann, W. (2018). Digital twins in logistics—A vision and a potential to improve the design and control of logistics systems. Computers in Industry, 101, 132-146.
- Shrouf, F., Ordieres-Meré, J., & Miragliotta, G. (2014). Smart factories in Industry 4.0: A review of the concept and of energy management approached in production based on the Internet of Things paradigm. Industrial Engineering and Management Systems, 13(4), 564-572.
- Stank, T. P., Keller, S. B., & Daugherty, P. J. (2018). Reimagining the logistics function: The rise of digital logistics. International Journal of Physical Distribution & Logistics Management, 48(4), 373-387.
- Trulli, M., & Perona, M. (2019). Cyber-physical systems for industrial logistics: A systematic literature review. Procedia Manufacturing, 31, 253-260.
- Wan, J., Cai, H., Zhou, K., & Su, C. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637-646.
- Wu, D., Rosen, D. W., Wang, L., & Schaefer, D. (2016). Cloud-based design and manufacturing: A new paradigm in digital manufacturing and design innovation. Computer-Aided Design, 59, 1-14.
- Xu, L. D., He, W., & Li, S. (2014). Internet of Things in industries: A survey. IEEE Transactions on Industrial Informatics, 10(4), 2233-2243.
- Yoo, S., Kim, J., & Kim, K. J. (2019). A review of research trends in smart manufacturing: Machine learning and Internet of Things. Journal of Manufacturing Systems, 53, 242-261.
- Zhou, K., Liu, J., & Zhou, L. (2019). Big data-driven supply chain management: A conceptual framework. International Journal of Production Research, 57(15-16), 5117-5135.
- Zhu, K., & Cai, H. (2020). Digital twin-driven supply chain: A review and future perspectives. Computers & Industrial Engineering, 139, 105695.
| Volume | 02 |
| Issue | 01 |
| Received | June 20, 2024 |
| Accepted | June 25, 2024 |
| Published | July 31, 2024 |