Smart processes in the data-driven supply chain

Authors

  • Hamed Nozari Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran
  • Amimasoud Bakhshi-Movahed Faculty of management, Iran University of Science and Technology, Tehran, Iran
  • Ali Bakhshi-Movahed Faculty of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran

Keywords:

Smart processes, Data-driven supply chain, Smart supply chain, Process-oriented business

Abstract

The modern supply chain is becoming increasingly complex and global. For businesses, this means that it is critical to identify potential vulnerabilities in the supply chain, address bottlenecks, and respond quickly to supply chain disruptions. The supply chain for businesses is not just a simple and linear chain of activities. Rather, it is a dynamic network of integrated processes, technology, and people. The data-driven approach takes advantage of access to new data sources to help companies manage supply chains. In fact, achieving excellence in supply chain management can provide sustainable growth and greater financial results. In this thesis, the basic components of data-driven supply chains are investigated.

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References

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Published

2024-04-06

How to Cite

Nozari, H., Bakhshi-Movahed, A., & Bakhshi-Movahed, A. (2024). Smart processes in the data-driven supply chain. International Scientific Hub, 18–35. Retrieved from https://books.iscihub.com/index.php/ISCIHB/article/view/42

Issue

Smart data-driven businesses

Section

Chapter

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Copyright (c) 2024 Hamed Nozari, Ali Bakhshi-Movahed, Amimasoud Bakhshi-Movahed

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