The Impact of Maintenance Planning on Large Project Management Performance

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Abstract

 Structured methodologies and tools for the tailored design of factories are adopted by suppliers of manufacturing systems but usually discontinued after the design phase.  The use of an ontology-based virtual factory, continuously synchronised with the real plant, is proposed to guarantee digital continuity and enable in-situ simulation during the operating phase.  This digital counterpart of the system can be used for integrated shop-floor simulations to assess production and maintenance planning decisions' future impact. An industrial application is provided in the context of roll shops, i.e., systems devoted to the grinding of cylinders for rolling mills.

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Author Biography

Erry Y. T. Adesta, Universitas Putra Indonesia "YPTK"

Industrial Engineering Department, Faculty of Engineering,
Universitas Putra Indonesia (UPI) YPTK Padang, Indonesia
Department of Manufacturing Engineering,
International Islamic University Malaysia, Kuala Lumpur, Malaysia

References

Hartmann, S., Time-varying resource requirements and capacities, in Handbook on Project Management and Scheduling Vol. 1. 2015, Springer. p. 163-176.

Sahoo, T., Process plants: shutdown and turnaround management. 2013: CRC Press.

[Terkaj, W., T. Tolio, and M.J.C.A. Urgo, A virtual factory approach for in situ simulation to support production and maintenance planning. 2015. 64(1): p. 451-454.

Kádár, B., W. Terkaj, and M.J.C.A. Sacco, Semantic Virtual Factory supporting interoperable modelling and evaluation of production systems. 2013. 62(1): p. 443-446.

Schwindt, C. and T. Paetz, Continuous preemption problems, in Handbook on Project Management and Scheduling Vol. 1. 2015, Springer. p. 251-295.

Terkaj, W. and A.J.A.i.C. Šojić, Ontology-based representation of IFC EXPRESS rules: An enhancement of the ifcOWL ontology. 2015. 57: p. 188-201.

Jain, S. and G. Shao. Virtual factory revisited for manufacturing data analytics. in Proceedings of the Winter Simulation Conference 2014. 2014. IEEE.

Modoni, G.E., et al., Enhancing factory data integration through the development of an ontology: from the reference models reuse to the semantic conversion of the legacy models. 2017. 30(10): p. 1043-1059.

Terkaj, W., G. Pedrielli, and M. Sacco. Virtual factory data model. in Proceedings of the workshop on ontology and semantic web for manufacturing, Graz, Austria. 2012.

Terkaj, W. and M. Urgo. Ontology-based modeling of production systems for design and performance evaluation. in 2014 12th IEEE International Conference on Industrial Informatics (INDIN). 2014. IEEE.

Frazzon, E.M., M. Kück, and M.J.C.A. Freitag, Data-driven production control for complex and dynamic manufacturing systems. 2018. 67(1): p. 515-518.

Schönemann, M., et al., Multi-level modeling and simulation of manufacturing systems for lightweight automotive components. 2016. 41: p. 1049-1054.

Kuts, V., et al. Exploiting factory telemetry to support virtual reality simulation in robotics cell. in International Conference on Augmented Reality, Virtual Reality and Computer Graphics. 2017. Springer.

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Published

2021-03-31

How to Cite

Alrashidi, A. ., & Adesta, E. Y. T. . (2021). The Impact of Maintenance Planning on Large Project Management Performance. Asian Journal of Electrical and Electronic Engineering, 1(1), 15–20. Retrieved from https://alambiblio.com/ojs/index.php/ajoeee/article/view/6

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Articles