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Product lifecycle management: the new paradigm for enterprises

Author

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  • Michael W. Grieves

Abstract

Product Lifecycle Management (PLM) is a developing paradigm. One way to develop an understanding of PLM's characteristic and boundaries is to propose models that help us conceptualise both holistic and component views in compact packages. Models can give us both a rich way of thinking about overall concepts and can identify areas where we need to explore issues that such models raise. In this paper, the author proposes and discusses two such related models, the Product Lifecycle Management Model (PLM Model) and the Mirrored Spaces Model (MSM) and investigates the conceptual and technical issues raised by these models.

Suggested Citation

  • Michael W. Grieves, 2005. "Product lifecycle management: the new paradigm for enterprises," International Journal of Product Development, Inderscience Enterprises Ltd, vol. 2(1/2), pages 71-84.
    • Handle: RePEc:ids:ijpdev:v:2:y:2005:i:1/2:p:71-84
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    Cited by:

    1. Yu, Wei & Patros, Panos & Young, Brent & Klinac, Elsa & Walmsley, Timothy Gordon, 2022. "Energy digital twin technology for industrial energy management: Classification, challenges and future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    2. Tran Duong Nguyen & Sanjeev Adhikari, 2023. "The Role of BIM in Integrating Digital Twin in Building Construction: A Literature Review," Sustainability, MDPI, vol. 15(13), pages 1-26, July.
    3. Chen, Ziyue & Huang, Lizhen, 2021. "Digital twins for information-sharing in remanufacturing supply chain: A review," Energy, Elsevier, vol. 220(C).
    4. Maria Mercanti-Guérin, 2021. "From Perceived Creativity To Status Quo Bias The Case Of Digital Twins In The Home," Post-Print hal-03450262, HAL.
    5. Pin Wu & Lulu Ji & Wenyan Yuan & Zhitao Liu & Tiantian Tang, 2023. "A Digital Twin Framework Embedded with POD and Neural Network for Flow Field Monitoring of Push-Plate Kiln," Future Internet, MDPI, vol. 15(2), pages 1-20, January.
    6. Shuyao Li & Wenfu Wu & Yujia Wang & Na Zhang & Fanhui Sun & Feng Jiang & Xiaoshuai Wei, 2023. "Production Data Management of Smart Farming Based on Shili Theory," Agriculture, MDPI, vol. 13(4), pages 1-26, March.
    7. Chen, Kang & Zhu, Xu & Anduv, Burkay & Jin, Xinqiao & Du, Zhimin, 2022. "Digital twins model and its updating method for heating, ventilation and air conditioning system using broad learning system algorithm," Energy, Elsevier, vol. 251(C).
    8. Dianyou Yu & Zheng He, 2022. "Digital twin-driven intelligence disaster prevention and mitigation for infrastructure: advances, challenges, and opportunities," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 1-36, May.
    9. Maria Mercanti-Guérin, 2022. "De La Creativite Perçue Au Biais De Statu Quo Le Cas Des Jumeaux Numeriques Dans L'Habitat," Post-Print hal-03610312, HAL.
    10. M J Schniederjans & A M Schniederjans & D G Schniederjans, 2009. "Operations research methodology life cycle trend phases as recorded in journal articles," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(7), pages 881-894, July.
    11. Federica Acerbi & Claudio Sassanelli & Sergio Terzi & Marco Taisch, 2021. "A Systematic Literature Review on Data and Information Required for Circular Manufacturing Strategies Adoption," Sustainability, MDPI, vol. 13(4), pages 1-26, February.
    12. Verdouw, Cor & Tekinerdogan, Bedir & Beulens, Adrie & Wolfert, Sjaak, 2021. "Digital twins in smart farming," Agricultural Systems, Elsevier, vol. 189(C).
    13. Pengcheng Ni & Zhiyuan Ye & Can Cao & Zhimin Guo & Jian Zhao & Xing He, 2023. "Cooperative Game-Based Collaborative Optimal Regulation-Assisted Digital Twins for Wide-Area Distributed Energy," Energies, MDPI, vol. 16(6), pages 1-17, March.
    14. Rong Xie & Muyan Chen & Weihuang Liu & Hongfei Jian & Yanjun Shi, 2021. "Digital Twin Technologies for Turbomachinery in a Life Cycle Perspective: A Review," Sustainability, MDPI, vol. 13(5), pages 1-22, February.
    15. Hazrathosseini, Arman & Moradi Afrapoli, Ali, 2023. "The advent of digital twins in surface mining: Its time has finally arrived," Resources Policy, Elsevier, vol. 80(C).
    16. Wang, Jinrui & Zhang, Zongzhen & Liu, Zhiliang & Han, Baokun & Bao, Huaiqian & Ji, Shanshan, 2023. "Digital twin aided adversarial transfer learning method for domain adaptation fault diagnosis," Reliability Engineering and System Safety, Elsevier, vol. 234(C).
    17. Hassan Alimam & Giovanni Mazzuto & Marco Ortenzi & Filippo Emanuele Ciarapica & Maurizio Bevilacqua, 2023. "Intelligent Retrofitting Paradigm for Conventional Machines towards the Digital Triplet Hierarchy," Sustainability, MDPI, vol. 15(2), pages 1-30, January.

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