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@article{182836,
        author = {Sandeep Shenoy Karanchery Sundaresan},
        title = {Case Studies in ERP-Driven Process Optimization: Enhancing Efficiency and Compliance in Healthcare Manufacturing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {2},
        pages = {4019-4026},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=182836},
        abstract = {In the highly regulated and complex landscape of healthcare manufacturing, Enterprise Resource Planning (ERP) systems have emerged as critical tools for enhancing efficiency, compliance, and operational integration. This review investigates the current landscape and future potential of ERP-driven process optimization across pharmaceutical, biotechnology, and medical device manufacturing sectors. Drawing upon ten key case studies and recent research, the article highlights how ERP systems contribute to improved production throughput, reduced compliance deviations, increased inventory accuracy, and streamlined batch release cycles. Additionally, this review presents a theoretical model and block diagram illustrating ERP system integration with core manufacturing and compliance modules. Future research directions are identified, including AI integration, blockchain-based compliance, and sustainability tracking. The findings underscore ERP’s pivotal role in achieving digital transformation and regulatory alignment in healthcare manufacturing.},
        keywords = {ERP Systems; Healthcare Manufacturing; Process Optimization; Compliance; Pharmaceutical Industry; AI in ERP; Regulatory Technology; Inventory Management; Digital Transformation; Manufacturing Quality},
        month = {July},
        }