Purchasing Process Analysis with Process Mining of a Heavy Manufacturing Industry

Process Mining in Manufacturing: Goals, Techniques and Applications

“…Besides the process discovery, process mining was successfully applied to detect throughput and waiting times of a process and to discover bottlenecks and feedback loops [12,14,15,16,18,20,21,23,24]. Moreover, process mining SNA techniques were used for finding the roles and relationships of the resources (e.g., machines, employees) [12,15,18,20,22], presented through resource networks.…”

“…presents processes from the manufacturing industry that were the subject of process mining. The manufacturing process [16,17,18] and the procurement process [13,21,23] were analyzed the most, following with the production planning [15,20], incident management [12,24], maintenance management [22,25], product assembling [11] and product testing process [17]. Mostly used information system was the ERP system [13,15,20,23], which supported all procurement and production planning processes.…”

“…Mostly used information system was the ERP system [13,15,20,23], which supported all procurement and production planning processes. Other processes were supported by the Supply Chain Management system [11], the MES [17], the Shipbuilding Processing Plan Management system [21], Supervisory Control And Data Acquisition (SCADA) system [24], and a problem handling system [12]. As manufacturing devices and equipment that can generate event data are considered, CNC machine [19], programmable logic controller, and robot stations [22] were analyzed.…”

Candidate Digital Tasks Selection Methodology for Automation with Robotic Process Automation

“…Process discovery techniques allow, specifically, the control-flow perspective, i.e., the identification of how tasks belonging to a business process are following each other based on the recorded events, and thus provide as result the process model, which shows the full behavior and allows us to have a full understanding of the process behavior. Even though process mining is considered as recent research, there are plenty of process discovery algorithms that have been developed today which discover the sequential behavior of a process and have been successfully applied to different domains [26,40,41]. For example, the αalgorithm [42], the fuzzy miner [43], the heuristic miner [44], the genetic miner [45], the heuristic rule-based algorithm [46], and others [40,47], etc.…”

“…Even though process mining is considered as recent research, there are plenty of process discovery algorithms that have been developed today which discover the sequential behavior of a process and have been successfully applied to different domains [26,40,41]. For example, the αalgorithm [42], the fuzzy miner [43], the heuristic miner [44], the genetic miner [45], the heuristic rule-based algorithm [46], and others [40,47], etc. All these techniques use different methodologies to arrive at the same result which is a model that illustrates the transitions between activities, and they take an event log as input to discover the process model.…”