Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics

Jean Piest, Jennifer Cutinha, Rob Bemthuis, Faiza Bukhsh

Abstract

When aggregating logistic event data from different supply chain actors and information systems for process mining, interoperability, data loss, and data quality are common challenges. This position paper proposes and evaluates the use of the Open Trip Model (OTM) for process mining. Inspired by the current industrial use of the OTM for reporting and business intelligence, we believe that the data model of OTM can be utilized for unified storage, integration, interoperability, and querying of logistic event data. Therefore, the OTM data model is mapped to a generic event log structure to satisfy the minimum requirements for process mining. A demonstrative scenario is used to show how event data can be extracted from the OTM’s default scenario dataset to create an event log as the starting point for process mining. Thus, this approach provides a foundation for future research about interoperability challenges and unifying process mining models based on industry standards, and a starting point for developing process mining applications in the logistics industry.

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Paper Citation


in Harvard Style

Piest J., Cutinha J., Bemthuis R. and Bukhsh F. (2021). Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics. In Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-509-8, pages 290-296. DOI: 10.5220/0010477702900296


in Bibtex Style

@conference{iceis21,
author={Jean Piest and Jennifer Cutinha and Rob Bemthuis and Faiza Bukhsh},
title={Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics},
booktitle={Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2021},
pages={290-296},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010477702900296},
isbn={978-989-758-509-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 23rd International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Evaluating the Use of the Open Trip Model for Process Mining: An Informal Conceptual Mapping Study in Logistics
SN - 978-989-758-509-8
AU - Piest J.
AU - Cutinha J.
AU - Bemthuis R.
AU - Bukhsh F.
PY - 2021
SP - 290
EP - 296
DO - 10.5220/0010477702900296