Optimizing Supply Chain Networks for Quality Compliance: A Comprehensive Analysis

This article examines the critical challenges and opportunities in optimizing supply chain networks for quality compliance in today's globalized business environment. It explores how organizations navigate complex quality management requirements across diverse geographical locations while integrating advanced technologies for enhanced performance. The article investigates multi-criteria decision frameworks, predictive analytics, IoT-enabled monitoring, and blockchain-based traceability solutions through comprehensive case studies in the pharmaceutical and food & beverage industries. Through the evaluation of implementation strategies and risk mitigation approaches, the study provides insights into successful quality management system deployment and offers practical recommendations for organizations seeking to enhance their supply chain quality capabilities.

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Publication Details

Journal
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Published
2025-03-09
DOI
https://doi.org/10.32628/cseit25112366
Primary Topic
Supply Chain Resilience and Risk Management
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimizing Supply Chain Networks for Quality Compliance: A Comprehensive Analysis

M.K.T. Nair
1 links
International Journal of Scientific Research in Computer Science Engineering and Information Technology
Supply Chain Resilience and Risk Management
article

Optimizing Supply Chain Networks for Quality Compliance: A Comprehensive Analysis

M.K.T. Nair
article en

Abstract

This article examines the critical challenges and opportunities in optimizing supply chain networks for quality compliance in today's globalized business environment. It explores how organizations navigate complex quality management requirements across diverse geographical locations while integrating advanced technologies for enhanced performance. The article investigates multi-criteria decision frameworks, predictive analytics, IoT-enabled monitoring, and blockchain-based traceability solutions through comprehensive case studies in the pharmaceutical and food & beverage industries. Through the evaluation of implementation strategies and risk mitigation approaches, the study provides insights into successful quality management system deployment and offers practical recommendations for organizations seeking to enhance their supply chain quality capabilities.

International Journal of Scientific Research in Computer Science Engineering and Information TechnologyVol. 11(2)
Maharashtra State Board of Technical Education (IN)
Openalex Percentile: Top 94%
Supply Chain Resilience and Risk Management
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