Mining Resource Usage in Molds Manufacturing Processes through Process Mining

Abstract

The rise of Industry 4.0 and, therefore, the integration of Internet of Things (IoT), cloud computing, data processing and analytics into the factories infrastructures has enabled the possibility to automatically collect, transform and process data from manufacturing floors. This, complemented with the use of Process Mining algorithms, allows us to use data extracted from resources activities, either performed by humans or machines, in order to discover, compare and enhance the manufacturing processes of any industry. In this paper we present a resource allocation framework that aims to provide production managers with decision support on the best possible resource allocations for a certain business process. For this, it considers various criteria such as performance, cost, frequency and resource centrality metrics. It takes into account historical data from similar business processes of the organization, and analyses this data with Process Mining techniques, such as process discovery, in order to obtain insights about the business processes, such as patterns and bottlenecks.