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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 66))

Abstract

This research has an objective to create the new indicator for evaluating the performance and efficiency of the machine. This indicator is built as purpose to solve the problems that occurred in Overall Equipment Effectiveness (OEE) indicator. OEE is the main indicator of TPM, which focuses on machine maintenance. This indicator emphasizes how to find loss in the machine with no consideration of production cost. As considering the priority between the machine without regarding the machine capacity, production cost and value of the products, it could cause the improper priority to the machine. Therefore, the researcher has built a new indicator and also implemented with fibre cement manufacturing company. In the case study that the machine had been implemented, the result represented that the machine which had the highest OEE at 76.7%, was not the machine that had the lowest production cost loss value. The machine’s overall production loss value costs 25.01 million baht. The machine that has even the least production loss value costs 2.28 million baht has the OEE only 71.7%. This OEE is the lowest in all of machines. The data represents that the OEE cannot sequence the problems appropriately because of the differences of the machines, including production capacity, production cost and the value of the products. These all differences will directly affect to the production loss value of each machine. Consequently, the new indicator in this research has been built to solve these OEE problems. This indicator can sequence the problems of each machine by calculating the production loss and represents the results as the monetary unit.

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© 2010 Springer-Verlag Berlin Heidelberg

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Wudhikarn, R., Smithikul, C., Manopiniwes, W. (2010). Developing Overall Equipment Cost Loss Indicator. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_43

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  • DOI: https://doi.org/10.1007/978-3-642-10430-5_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10429-9

  • Online ISBN: 978-3-642-10430-5

  • eBook Packages: EngineeringEngineering (R0)

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