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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM37541

Building Resilient Supply Chains with Intelligent Automation

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM37541

Volume:

8 |

9 |

Sep 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM37541

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PKP

Prashant K. Parshuramkar

UI

Umeroddin Inamdar

NKS

Nishant K. Sonar

MVM

Mohit V. Mahakalkar

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Abstract

Building Resilient Supply Chains with Intelligent Automation represents a transformative approach to modern supply chain management, focusing on optimizing operations through the integration of advanced technologies, data analytics, and process automation. In an increasingly complex and competitive global market, these solutions offer a framework to enhance efficiency, transparency, and responsiveness across the entire supply chain from procurement to final delivery. This paper explores the core components of Intelligent Automation, including data integration, supply chain visibility, inventory and demand management, and process automation. However, implementing these systems also presents challenges such as overcoming data silos, managing supply chain complexity, and ensuring regulatory compliance. This study aims to provide a comprehensive understanding of Intelligent Automation in supply chains, emphasizing their benefits, challenges, and the critical role they play in the evolution of supply chain management in today’s dynamic business environment.

KEYWORDS

Supply Chain Advance Logistics Courier Management Supply Solution Automation Demant Management

Cite This Article

Prashant K. Parshuramkar, Umeroddin Inamdar, Nishant K. Sonar, Mohit V. Mahakalkar, "Building Resilient Supply Chains with Intelligent Automation," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 9, Sep 2024. https://doi.org/10.55041/IJSREM37541

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Publication Date

9/19/2024

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Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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