Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)

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

Authors
Rachmadita Andreswari, Mohammad Arif Rasyidi
Corresponding Author
Rachmadita Andreswari
Available Online March 2019.
DOI
10.2991/icoiese-18.2019.27How to use a DOI?
Keywords
process mining; OLAP; heuristic miner; production planning
Abstract

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. 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 production planning module by performing 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 is that 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 cube process performed has influenced the process model and the resulting measurement.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)
Series
Atlantis Highlights in Engineering
Publication Date
March 2019
ISBN
10.2991/icoiese-18.2019.27
ISSN
2589-4943
DOI
10.2991/icoiese-18.2019.27How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Rachmadita Andreswari
AU  - Mohammad Arif Rasyidi
PY  - 2019/03
DA  - 2019/03
TI  - OLAP Cube Processing of Production Planning Real-life Event Log: A Case Study
BT  - Proceedings of the 2018 International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018)
PB  - Atlantis Press
SP  - 148
EP  - 153
SN  - 2589-4943
UR  - https://doi.org/10.2991/icoiese-18.2019.27
DO  - 10.2991/icoiese-18.2019.27
ID  - Andreswari2019/03
ER  -