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
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
- Ayomide Ayomikun Ajiboye, Investigating the Role of Machine Learning Algorithms in Customer Segmentation , Communication In Physical Sciences: Vol. 12 No. 2 (2025): VOLUME 12 ISSUE 2
- Florence Omada Ocheme, Hakeem Adewale Sulaimon, Adamu Abubakar Isah, A Deep Neural Network Approach for Cancer Types Classification Using Gene Selection , Communication In Physical Sciences: Vol. 7 No. 4 (2021): VOLUME 7 ISSUE 4
- Humphrey Sam Samuel, Emmanuel Edet Etim, John Paul Shinggu, Bulus. Bako , Machine learning of Rotational spectra analysis in interstellar medium , Communication In Physical Sciences: Vol. 10 No. 1 (2023): VOLUME 10 ISSUE 1
- Efe Jessa, Soil Stabilization Using Bio-Enzymes: A Sustainable Alternative to Traditional Methods , Communication In Physical Sciences: Vol. 2 No. 1 (2017): VOLUME 2 ISSUE 1
- Olumuyiwa O. Akintola , Investigation of the Safe Location for Private Electric Power Generators Servicing Residential Buildings in Nigeria , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Promise. A. Azor, Amadi Ugwulo Chinyere, Mathematical Modelling of an Investor’s Wealth with Different Stochastic Volatility Models , Communication In Physical Sciences: Vol. 11 No. 2 (2024): VOLUME 11 ISSUE 2
- Onaara Enitan Obamuwagun, A Comprehensive Review on Mental Health, Psychological Well-being, and Performance Challenges of Elite Athletes in Competitive Sports , Communication In Physical Sciences: Vol. 9 No. 4 (2023): VOLUME 9 ISSUE 4
- Richard Alexis Ukpe, Joint effect of halides and Ethanol Extract of Sorghum on the Inhibition of the Corrosion of Aluminum in HCl , Communication In Physical Sciences: Vol. 4 No. 2 (2019): VOLUME 4 ISSUE 2
- Forward Nsama, Development of Sustainable Finance Strategies for Climate-Resilient Infrastructure Investments Across U.S. States , Communication In Physical Sciences: Vol. 12 No. 6 (2025): VOLUME 12 ISSUE 6
- Oghenevovwero Emmanuel ESI, Evaluation of Occupational and Environmental Noise Pollution Exposure Levels in Selected Sawmills, Southern Nigeria , Communication In Physical Sciences: Vol. 12 No. 7 (2025): VOLUME 12 ISSUE 7
You may also start an advanced similarity search for this article.



