Abstract
The following paper proposes a method on how to analyze productive systems to achieve performance indicators that allows to know the state of the system. In particular, the objective of the paper is to analyze performance indicators that allow to understand the state of the production line in systems that present variability conditions in the performance of their equipment, and in their operational conditions that will not allow direct calculation of the effective time. It is proposed to begin with the utilization of a methodology to increase the understanding of the system, which will generate a conceptual model that will concentrate the required knowledge through a logic structure that will ease the subsequent analysis. Then, a step by step process is proposed to define the system, its performance indicators of interest, and the most efficient and effective way to obtain those, considering the existing restrictions. Finally, system and subsystem level indicators will be obtained, which will be a representation of the real state of the process, by representing the effective times, and variable throughput. All of the above will be applied in a case study in the mining industry from Chile.
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Grubessich, T. et al. (2019). Design of Performance Indicators Based on Effective Time and Throughput Variability. Case Study in Mining Industry. In: Burduk, A., Chlebus, E., Nowakowski, T., Tubis, A. (eds) Intelligent Systems in Production Engineering and Maintenance. ISPEM 2018. Advances in Intelligent Systems and Computing, vol 835. Springer, Cham. https://doi.org/10.1007/978-3-319-97490-3_14
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DOI: https://doi.org/10.1007/978-3-319-97490-3_14
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