Integrated Digital Product Lifecycle Intelligence for Strategic Growth and Operational Risk Mitigation
Keywords:
Artificial Intelligence, Digital Twin, Industry 4.0, Operational Risk, Predictive Analytics, Product Lifecycle Management, Strategic GrowthAbstract
Product lifecycle management (PLM) has evolved beyond a stand-alone system into a complex domain shaped by supply-chain volatility, stringent regulatory requirements, and the growing shift toward outcome-based business models. This paper introduces Integrated Digital Product Lifecycle Intelligence (IDPLI), a closed-loop socio-technical framework that integrates real-time digital twins, predictive and prescriptive analytics, continuous risk intelligence, and strategic growth orchestration across the entire product lifecycle. By establishing a bidirectional digital thread from design to end-of-life and back to next-generation products, IDPLI transforms lifecycle data from a cost-centre function into a strategic enterprise asset. The framework significantly reduces exposure to supply-chain disruptions, quality recalls, regulatory non-compliance, cybersecurity threats, and environmental risks. The paper further elaborates on the four core pillars of the framework, a phased maturity model, an implementation roadmap, and tangible results from early adopters. The paper closes with the argument that IDPLI embodies a paradigm shift away from reactive phase-oriented management toward enterprise-wide proactive intelligence that can grant superior resilience and sustained competitive advantage in manufacturing for the digital era.
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