Mineração de processos aplicada na gestão de suprimentos : um estudo de caso com ERP brasileiro

Abstract

In today's reality, business processes and data are very important assets for organizations in the search for competitive differential. Process mining seeks to link the areas of process management and data science, making it possible to discover the actual processes carried out in computerized systems, to identify deviations and frauds in the processes and to generate ideas to improve the processes executed in the organizations. This research explores the area of process mining in the field of supply management, through a general review of the literature containing case studies, which were summarized in the intraorganizational and interorganizational perspectives and later applied in a case study in a Brazilian company that uses the ERP Protheus. The review method includes rounds of research with the keywords and the method to apply the process mining in the studied company was developed based on the best practices of the cases raised and joined with the method PM2 containing the steps of planning, extraction, processing data mining and analysis, evaluation and process improvement and support. The tools used were the ProM, with the algorithms of Alpha Mining, Heuristic Mining, Fuzzy Mining, Inductive Mining and of Conformity Assessment, as well as Celonis software. The results obtained in the case study on the procurement process identified activities not raised in the reference model, as well as non-compliant cases and demonstrated how process mining techniques can help in day-to-day control and improve purchasing. Such results, together with case analysis in the literature, have demonstrated that process mining is promising in process management