International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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The Role of Advanced Analytics in Optimizing Supply Chain Performance in Critical Industries: A Case Study Approach

Author(s) Deepika Nathany
Country United States
Abstract The rise of advanced analytics serves as a groundbreaking development in supply chain management by helping companies manage complex systems and decrease risks while improving operational performance (Smith et al., 2020). The research utilizes case study methodology to explore how top companies from essential sectors like manufacturing and retail to healthcare and pharmaceuticals implement advanced analytics to improve their operational performance. The paper reveals shared success factors and challenges by studying real-world applications in demand forecasting and inventory optimization as well as logistics routing and supplier management. The study shows that combining predictive and prescriptive analytics leads to better decision-making speed while lowering costs between 15–30% and bolstering disruption resistance (Johnson & Lee, 2021). Despite advances in analytics technology, persistent obstacles like technological integration barriers along with data silos and talent shortages continue to impede progress (Nguyen et al., 2021). The research demonstrates how analytics strategies must align with organizational objectives and promote teamwork across different functions (Chen et al., 2019). Research moving forward needs to examine how advanced analytics intersects with new technologies such as blockchain and IoT systems to transform supply chain operations as proposed by Zhang et al. (2022).
Field Engineering
Published In Volume 5, Issue 6, November-December 2023
Published On 2023-12-12
DOI https://doi.org/10.36948/ijfmr.2023.v05i06.40673
Short DOI https://doi.org/g9btg8
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