Abstract
With the immense pressure to sustain competitive in European manufacturing, the strategy of digitalizing in this industry sector is indeed necessary. With the onset of new ICT technology and big data capabilities, the physical asset and data computation is integrated in manufacturing through Cyber Physical Systems (CPS). This strategy also denoted as Industry 4.0 will also improve the maintenance function significantly in manufacturing. In particular, maintenance planning will be more synchronized in production scheduling. The aim of this article is to develop an integrated planning (IPL) approach that synchronizes production and maintenance planning with predictive maintenance capability. The result in this article is based on a case study and simulation of manufacturing equipment. In particular, application of key performance indicators (KPIs) is shown to be essential when running the synchronizing mechanism in IPL. The scientific application of the case study is alignment of the IPL theory and new approach in maintenance planning. Furthermore, the application to practice is improved maintenance planning in IPL that increases a reliable plant capacity. It is concluded that the IPL approach should be considered to be a generic platform for manufacturing industry that should be demonstrated further in other manufacturing branches in Europe.
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Rødseth, H., Schjølberg, P., Wabner, M., Frieß, U. (2018). Predictive Maintenance for Synchronizing Maintenance Planning with Production. In: Wang, K., Wang, Y., Strandhagen, J., Yu, T. (eds) Advanced Manufacturing and Automation VII. IWAMA 2017. Lecture Notes in Electrical Engineering, vol 451. Springer, Singapore. https://doi.org/10.1007/978-981-10-5768-7_47
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DOI: https://doi.org/10.1007/978-981-10-5768-7_47
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