OLAP Cube Processing of Production Planning Real-life Event Log: A Case Study

Rachmadita Andreswari
Information System Department, Faculty of Industrial and
System Engineering, Telkom University
Bandung, Indonesia
andreswari@telkomuniversity.ac.id

Mohammad Arif Rasyidi
Department of Informatics
Universitas Internasional Semen Indonesia
Gresik, Indonesia
mohammad.rasyidi@uisi.ac.id

Business process modeling in an application log can be done by using process mining technique. To analyze the process flow in more detail in several dimensions needs cube process. The multidimensional depiction in star schema to perform Online Analytical Processing (OLAP) can be done by drill-down, roll-up, slice, and dice method. This research was conducted to analyze log characteristic in the production planning module by performing the cube process. The analysis was done by performing process cube on a set of log module of production planning. In this study the dimensions used in process cube are event class, timestamp and activity. Data that had been processed with the cube was modeled by using Heuristic miner algorithm. The results obtained from this study are those for the three parts of data that have been processed with the cube, the best measurement value for fitness was obtained by female of 1 while the best precision in male is at 0.56, and the value of each structure is at 1 for each data. The result of measurement also shows that the number of transitions and places in a process model influences the measurement of conformance value. Overall, the existence of the cube process performed has influenced the process model and the resulting measurement.
Keywords—process mining, OLAP, heuristic miner,production planning

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