TRADITIONAL MRP VS. BIG DATA-DRIVEN MRP: A COMPARATIVE ANALYSIS OF PERFORMANCE AND CHALLENGES

Authors

  • Utkarsh Mathur Intel Corporation, USA Author
  • Saurav Bansal Fortune Brands Innovations Inc, USA Author
  • Aishvarya Hariharan Haskell, USA Author

Keywords:

Material Requirements Planning, Big Data Analytics, Data-Driven Manufacturing, Predictive Maintenance, Supply Chain Optimization

Abstract

Material Requirements Planning (MRP) has long been the cornerstone of manufacturing planning and control systems. However, the rise of big data and advanced analytics has the potential to revolutionize the way MRP is implemented and utilized. This research paper aims to explore the impact of big data on MRP, analyzing the potential benefits, challenges, and practical considerations for organizations looking to transition towards a more data-driven approach to material resource planning. Limitations of traditional MRP are identified, and the value of incorporating big data and predictive analytics is examined in depth, highlighting how these emerging technologies can enhance the accuracy, responsiveness, and optimization capabilities of material requirements planning systems.

References

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Published

2023-12-30

Issue

Vol. 14 No. 7 (2023): INTERNATIONAL JOURNAL OF MANAGEMENT (IJM)

Section

Articles

License

Copyright (c) 2023 Utkarsh Mathur, Saurav Bansal, Aishvarya Hariharan (Author)

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

TRADITIONAL MRP VS. BIG DATA-DRIVEN MRP: A COMPARATIVE ANALYSIS OF PERFORMANCE AND CHALLENGES. (2023). International Journal of Management (IJM), 14(7), 253-257. https://lib-index.com/index.php/IJM/article/view/IJM_14_07_020