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1706326 Vol 8 · Issue 3 Download Paper

Integrating Digital Twin Technology with PLM for Enhanced Product Lifecycle Management

Balachandar Ramalingam Balaji Govindarajan Imran Khan Om Goel Prof. (Dr.) Arpit Jain Dr. Lalit Kumar

Subject area: Science,Engineering and Technology  ·  Area of research: Twin Technology

Abstract

The integration of Digital Twin technology with Product Lifecycle Management (PLM) represents a transformative approach to enhancing the management of product lifecycles. Digital Twins are virtual replicas of physical products, processes, or systems, enabling real-time data monitoring and analysis. By embedding Digital Twin technology into PLM systems, organizations can achieve a more holistic view of product performance throughout its lifecycle, from conception to retirement. This integration facilitates improved decision-making by providing stakeholders with access to real-time insights, predictive analytics, and simulations that reflect the actual conditions of physical assets. Consequently, it enhances collaboration across teams, reduces time-to-market, and minimizes risks associated with product development. Moreover, the use of Digital Twins in PLM allows for better alignment of design, engineering, and manufacturing processes, ultimately leading to increased operational efficiency and reduced costs. Furthermore, the synergy between Digital Twins and PLM supports sustainability initiatives by enabling companies to analyze product usage and identify opportunities for improvement, thus promoting a circular economy. This paper explores the potential benefits and challenges of integrating Digital Twin technology with PLM, presenting case studies that highlight successful implementations. The findings suggest that organizations adopting this integrated approach can significantly enhance their product lifecycle management capabilities, resulting in improved product quality, customer satisfaction, and competitive advantage in the marketplace.

Keywords

Digital Twin, Product Lifecycle Management, PLM integration, real-time data, predictive analytics, operational efficiency, product development, sustainability, circular economy, collaborative design, manufacturing processes, asset performance, data-driven insights.

References

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[71] Phanindra Kumar Kankanampati, Siddhey Mahadik, Shanmukha Eeti, Om Goel, Shalu Jain, & Raghav Agarwal. (2022). Enhancing Sourcing and Contracts Management Through Digital Transformation. Universal Research Reports, 9(4), 496–519. https://doi.org/10.36676/urr.v9.i4.1382

[72] Rajas Paresh Kshirsagar, Rahul Arulkumaran, Shreyas Mahimkar, Aayush Jain, Dr. Shakeb Khan, Prof.(Dr.) Arpit Jain, "Innovative Approaches to Header Bidding The NEO Platform", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), Volume.9, Issue 3, Page No pp.354-368, August 2022. Available at: http://www.ijrar.org/IJRAR22C3168.pdf

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[74] Satish Vadlamani, Raja Kumar Kolli, Chandrasekhara Mokkapati, Om Goel, Dr. Shakeb Khan, & Prof.(Dr.) Arpit Jain. (2022). Enhancing Corporate Finance Data Management Using Databricks And Snowflake. Universal Research Reports, 9(4), 682–602. https://doi.org/10.36676/urr.v9.i4.1394

[75] Dandu, Murali Mohana Krishna, Vanitha Sivasankaran Balasubramaniam, A. Renuka, Om Goel, Punit Goel, and Alok Gupta. (2022). "BERT Models for Biomedical Relation Extraction." International Journal of General Engineering and Technology 11(1): 9-48. ISSN (P): 2278–9928; ISSN (E): 2278–9936.

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[77] Mahadik, Siddhey, Dignesh Kumar Khatri, Viharika Bhimanapati, Lagan Goel, and Arpit Jain. 2022. "The Role of Data Analysis in Enhancing Product Features." International Journal of Computer Science and Engineering 11(2):9–22.

How to cite this paper

Balachandar Ramalingam, Balaji Govindarajan, Imran Khan, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar "Integrating Digital Twin Technology with PLM for Enhanced Product Lifecycle Management" Iconic Research And Engineering Journals Volume 8 Issue 3 2024 Page 727-747
Balachandar Ramalingam, Balaji Govindarajan, Imran Khan, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar "Integrating Digital Twin Technology with PLM for Enhanced Product Lifecycle Management" Iconic Research And Engineering Journals, vol. 8, no. 3, Sep. 2024
Balachandar Ramalingam, Balaji Govindarajan, Imran Khan, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar (2024). Integrating Digital Twin Technology with PLM for Enhanced Product Lifecycle Management. Iconic Research And Engineering Journals, 8(3).
Balachandar Ramalingam, Balaji Govindarajan, Imran Khan, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar "Integrating Digital Twin Technology with PLM for Enhanced Product Lifecycle Management" Iconic Research And Engineering Journals, vol. 8, no. 3, Sep. 2024.
@article{1706326,
      author = {Balachandar Ramalingam, Balaji Govindarajan, Imran Khan, Om Goel, Prof. (Dr.) Arpit Jain; Dr. Lalit Kumar},
      title = {Integrating Digital Twin Technology with PLM for Enhanced Product Lifecycle Management},
      journal = {Iconic Research And Engineering Journals},
      year = {2024},
      volume = {8},
      number = {3},
      pages = {727-747},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1706326.pdf},
      abstract = {The integration of Digital Twin technology with Product Lifecycle Management (PLM) represents a transformative approach to enhancing the management of product lifecycles. Digital Twins are virtual replicas of physical products, processes, or systems, enabling real-time data monitoring and analysis. By embedding Digital Twin technology into PLM systems, organizations can achieve a more holistic view of product performance throughout its lifecycle, from conception to retirement.
This integration facilitates improved decision-making by providing stakeholders with access to real-time insights, predictive analytics, and simulations that reflect the actual conditions of physical assets. Consequently, it enhances collaboration across teams, reduces time-to-market, and minimizes risks associated with product development. Moreover, the use of Digital Twins in PLM allows for better alignment of design, engineering, and manufacturing processes, ultimately leading to increased operational efficiency and reduced costs.
Furthermore, the synergy between Digital Twins and PLM supports sustainability initiatives by enabling companies to analyze product usage and identify opportunities for improvement, thus promoting a circular economy. This paper explores the potential benefits and challenges of integrating Digital Twin technology with PLM, presenting case studies that highlight successful implementations. The findings suggest that organizations adopting this integrated approach can significantly enhance their product lifecycle management capabilities, resulting in improved product quality, customer satisfaction, and competitive advantage in the marketplace.},
      keywords = {Digital Twin, Product Lifecycle Management, PLM integration, real-time data, predictive analytics, operational efficiency, product development, sustainability, circular economy, collaborative design, manufacturing processes, asset performance, data-driven insights.},
      month = {September},
  }