Abstract
The search for more efficient strategies, cost savings, time optimization and productivity are the main goals of any successful company. Process mining arises in this context and, although it is not a new concept, its expansion and applicability in the market has recently become notorious. Through an extensive set of data recorded over time, it is possible to determine the real state of a company’s processes, allows diagnosing failures and improving the efficiency of these processes. This paper describes a project realized in the scope of process mining, developed in the company Huf Portuguesa. The machines of a production line record thousands of data. In a specific production line, data was collected in a time range, cleaned and processed. Process mining techniques allowed the discovery and analysis of the real state of the production line. All paths were detected, and each path was analyzed individually. The conformity was also analyzed.
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Acknowledgment
This work is funded by National Funds through the FCT - Foundation for Science and Technology, I.P., within the scope of the project Refª UIDB/05507/2020. Furthermore, we would like to thank the Centre for Studies in Education and Innovation (CI&DEI) and the Polytechnic of Viseu for their support.
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Santos, C., Fialho, J., Silva, J., Neto, T. (2024). Process Mining in a Line Production. In: Arai, K. (eds) Advances in Information and Communication. FICC 2024. Lecture Notes in Networks and Systems, vol 921. Springer, Cham. https://doi.org/10.1007/978-3-031-54053-0_18
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DOI: https://doi.org/10.1007/978-3-031-54053-0_18
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