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Original research introduces PLM-SCOR model to improve supply chain resilience and sustainability, highlighting operational research techniques.
In the rapidly evolving landscape of global supply chains, where digital disruptions and sustainability imperatives converge, traditional operational frameworks often struggle to adapt. This Original Research Article introduces the Product Lifecycle Management-Based Supply Chain Operations Research Model (PLMSCORModel), a novel extension of the Product Lifecycle Management based Supply Chain Operations Research (SCOR) framework, which embeds operational research (OR) techniques to enhance decision-making in overall supply chain during the design stages of product or at the Ideation stage itself which helps in overall resilience, and environmental stewardship. Building on the foundational processes of SCOR—such as Orchestrate, Plan, Order, Source, Transform, Fulfil, and Return—PLM-SCOR incorporates predictive analytics, simulation modelling, and optimization algorithms to address contemporary challenges like supply chain volatility and ESG (environmental, social, governance) compliance by introducing all these factors at the ideation and design stage itself
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Sathish Krishna Anumula (2025) studied this question.
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