THE SYNERGY BETWEEN PLM AND MES: ENABLING CLOSED-LOOP MANUFACTURING
DOI:
https://doi.org/10.34218/IJCET_16_01_221Keywords:
Digital Thread, Industry 4.0, Manufacturing Integration, PLM-MES Integration, Smart ManufacturingAbstract
The integration of Product Lifecycle Management (PLM) and Manufacturing Execution Systems (MES) represents a transformative approach in smart manufacturing, enabling closed-loop manufacturing processes through seamless data flow between design and production. This comprehensive article explores the implementation strategies, technological enablers, and industry-specific applications of PLM-MES integration. The article examines how digital thread architecture, advanced technologies like IoT, digital twins, and edge computing facilitate this integration, while also investigating the performance metrics and success factors across various manufacturing sectors including aerospace, automotive, and electronics. The article demonstrates how this integration enhances operational efficiency, quality management, and innovation capabilities while addressing implementation challenges and future trends in smart manufacturing environments.
References
Anis Ben Khedher, et al., "Integration between MES and Product Lifecycle Management," IEEE Transactions on Industrial Informatics, vol. 18, no. 5, pp. 3215-3227, 2011. Available: .https://www.researchgate.net/publication/252055323_Integration_between_MES_and_Product_Lifecycle_Management
Fei Tao, et al., "CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System," IEEE Transactions on Industrial Informatics ( Volume: 10, Issue: 2, May 2014). Available: https://ieeexplore.ieee.org/abstract/document/6742575
Tasnim A. Abdel-Aty, et al., "Conceptualizing the digital thread for smart manufacturing: a systematic literature review," Journal of Intelligent Manufacturing 35(8), 2024. Available: https://www.researchgate.net/publication/380031495_Conceptualizing_the_digital_thread_for_smart_manufacturing_a_systematic_literature_review
Jeongin Koo, et al., "The Digital Thread Framework for Implementing Intelligent Machining Applications," Procedia CIRP, Volume 130, 2024, Pages 301-306, 2024. Available: https://www.sciencedirect.com/science/article/pii/S2212827124012484
Sharmin Attaran, et al., "Digital Twins and Industrial Internet of Things: Uncovering operational intelligence in industry 4.0," Decision Analytics Journal, Volume 10, March 2024, 100398. Available: https://www.sciencedirect.com/science/article/pii/S277266222400002X
Muhammad Hammad, et al., "Framework for the Implementation of Smart Manufacturing Systems: A Case in Point," Processes, vol. 11, no. 5, pp. 1436, 2023. Available: https://www.mdpi.com/2227-9717/11/5/1436
Emiliano Traini, et al., "Integration Between PLM and MES for One-of-a-Kind Production," IFIP Advances in Information and Communication Technology, 2020. Available: https://www.researchgate.net/publication/339556641_Integration_Between_PLM_and_MES_for_One-of-a-Kind_Production
Katsundo Hitomi, "Strategic integrated manufacturing systems: the concept and structures," International Journal of Production Economics, Volume 25, Issues 1–3, 1991, Pages 5-12. Available: https://www.sciencedirect.com/science/article/abs/pii/092552739190125D
Venkat Sai Avvaru, et al., "Integration of PLM, MES and ERP Systems to Optimize the Engineering, Production and Business," IFIP Advances in Information and Communication Technology, 2020. Available: https://www.researchgate.net/publication/347054469_Integration_of_PLM_MES_and_ERP_Systems_to_Optimize_the_Engineering_Production_and_Business
Erwin Rauch, et al., "Industry sector analysis for the application of additive manufacturing in smart and distributed manufacturing systems," Manufacturing Letters, Volume 15, Part B, January 2018, Pages 126-131. Available: https://www.sciencedirect.com/science/article/abs/pii/S2213846317300925
Sachin S. Kamble, et al., "A performance measurement system for industry 4.0 enabled smart manufacturing system in SMMEs- A review and empirical investigation," International Journal of Production Economics, Volume 229, November 2020, 107853. Available: https://www.sciencedirect.com/science/article/abs/pii/S0925527320302176
Jay Lee, et al., "Industrial AI and Predictive Analytics for Smart Manufacturing Systems," Smart Manufacturing, Publisher: Elsevier, 2020. Available: https://www.researchgate.net/publication/342246767_Industrial_AI_and_Predictive_Analytics_for_Smart_Manufacturing_Systems
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Copyright (c) 2025 Aman Jain (Author)
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