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.
Downloads
Published
Issue
Section
How to Cite
Most read articles by the same author(s)
- Imam Akintomiwa Akinlade, Ahmed Olasunkanmi Tijani, Musili Adeyemi Adebayo, Chiamaka Perpetua Ezenwaka, Toluwalase Damilola Osanyingbemi, Precious Mkpouto Akpan, Evaluating the Impact of Integrated Go-to-Market Systems on U.S. SMB Competitiveness , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
Similar Articles
- David Adetunji Ademilua, Edoise Areghan, Cloud Computing and Machine Learning for Scalable Predictive Analytics and Automation: A Framework for Solving Real-world Problems , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Joy Nnenna Okolo, A Systematic Analysis of Artificial Intelligence and Data Science Integration for Proactive Cyber Defense: Exploring Methods, Implementation Obstacles, Emerging Innovations, and Future Security Prospects , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Olaleye Ibiyeye, Joy Nnenna Okolo, Samuel Adetayo Adeniji, A Comprehensive Evaluation of AI-Driven Data Science Models in Cybersecurity: Covering Intrusion Detection, Threat Analysis, Intelligent Automation, and Adaptive Decision-Making Systems , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Oluwaseun Ibuife Oluwaniyi, Divine Ikechukwu Duruobioma, Occupational Health and Safety Challenges in Developing Countries: Gaps, Opportunities and Policy Implications , Communication In Physical Sciences: Vol. 13 No. 4 (2026): Volume 13 Issue 4
- Emurode Williams, Aniedi Ojo, Deborah Warmate, Chidinma Jonah, Embedded Finance and Sustainable Business Models: Conceptualizing the Role of AI-Driven Automation in Reshaping Cross-Sector Value Creation and Programme Delivery , Communication In Physical Sciences: Vol. 12 No. 8 (2025): VOLUME 12 ISSUE 8
- David Adetunji Ademilua, Advances and Emerging Trends in Cloud Computing: A Comprehensive Review of Technologies, Architectures, and Applications , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Michael Oladipo Akinsanya, Oluwafemi Clement Adeusi, Kazeem Bamidele Ajanaku, A Detailed Review of Contemporary Cyber/Network Security Approaches and Emerging Challenges , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Imam Akintomiwa Akinlade, Ahmed Olasunkanmi Tijani, Musili Adeyemi Adebayo, Chiamaka Perpetua Ezenwaka, Toluwalase Damilola Osanyingbemi, Precious Mkpouto Akpan, Evaluating the Impact of Integrated Go-to-Market Systems on U.S. SMB Competitiveness , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Olatunde Ayeomoni, The Use of Supervised and Unsupervised Learning Methods for Detecting Auditing Anomalies , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
- Abubakar Tahiru, Oluwasanmi M. Odeniran, Shardrack Amoako, Developing Artificial Intelligence-Powered Circular Bioeconomy Models That Transform Forestry Residues into High-Value Materials and Renewable Energy Solutions , Communication In Physical Sciences: Vol. 8 No. 4 (2022): VOLUME 8 ISSUE 4
You may also start an advanced similarity search for this article.



