Content uploaded by Jean Paul Sebastian Piest
Author content
All content in this area was uploaded by Jean Paul Sebastian Piest on Apr 28, 2021
Content may be subject to copyright.
EVALUATING THE USE OF THE OPEN TRIP MODEL FOR PROCESS MINING:
AN INFORMAL CONCEPTUAL MAPPING STUDY IN LOGISTICS
J.P.S. PIEST (SPEAKER), J.A. CUTINHA, R.H. BEMTHUIS, F.A. BUKHSH
AREA 1: DATABASES AND INFORMATION SYSTEMS INTEGRATION
23RD INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS
▪Motivation
▪Process Mining in Logistics
▪Interoperability Challenges
▪Introduction of the Open Trip Model
▪Informal Conceptual Mapping Study
▪Step-by-Step Walkthrough
▪Conclusion
▪Outlook
▪Discussion
4/28/2021
This research is financially supported by the Dutch Ministry of Economic Affairs and co-financed via TKI
DINALOG. Funding for this work has been granted by the ICCOS project (grant no. 2018-2-169TKI) 2
OUTLINE
RESEARCH PAPER PRESENTATION
4/28/2021Typical interoperability scenario in Logistics
(adapted from OTM presentation) 3
MOTIVATION
WHAT BROUGHT US HERE?
▪Systematic Mapping Study (dos Santos Garcia et. al., 2019):
▪Less than 5% of the studies is in the Logistics domain;
▪27 studies identified and examined;
▪Rich spectrum of use cases for process mining.
▪Generalization is difficult due to complex, dynamic and heterogenous
nature of event data in Logistics (Intayoad and Becker, 2018);
▪Established approaches and tools focus on working with noisy data.
4/28/2021 4
PROCESS MINING IN LOGISTICS
CURRENT STATE OF THE ART
▪The Open Trip Model eliminates certain interoperability issues by
linking different Information Systems and devices (Lont, et. al., 2018);
▪Need for new research for discretizing, aggregating and correlating
event data for tracing the overall business performance (Cabanillas et al.,
2013; Wang et al., 2014);
▪Current literature pays little attention to unified standards and process
definitions.
4/28/2021 5
INTEROPERABILITY CHALLENGES
NEED FOR UNIFICATION AND STANDARDIZATION OF PROCESS MODELS
▪Initiated and developed by Simacan;
▪Managed by SUTC, acting on behalf of:
▪Transport Logistiek Nederland;
▪Evofenedex;
▪Dalti.
▪Centered around event data;
▪Entities: representing logistics objects;
▪Lifecycles: workflow and order over time.
4/28/2021Current version 5 of the OTM 6
OPEN TRIP MODEL
OPEN, FLEXIBLE DATA SHARING MODEL
Goal:
Unified storage, integration,
interoperability, and querying of
logistic event data.
Minimum requirements:
▪Case ID
▪Event / activity
▪Timestamp
▪Resource
4/28/2021Adapted OTM data model version 4.2 linked to
the minimum process mining requirements 7
INFORMAL CONCEPTUAL MAPPING STUDY
EVALUATING THE USE OF THE OTM FOR PROCESS MINING
▪Initial support that the OTM can fulfil minimum requirements for
process mining, however, further experimental development required;
▪Demonstration based on simple scenario with synthetic data;
▪Foundation for future research about interoperability challenges and
unifying process mining models based on industry standards;
▪Starting point for developing process mining applications in the
logistics industry based on the step-by-step approach and identified
use cases.
4/28/2021 9
CONCLUSION
INTERMEDIATE RESULTS, CONTRIBUTION AND LIMITATIONS
▪Systematically mapping the process mining spectrum to the OTM
based on formal methods and techniques in a full implementation of
OTM;
▪Case study research to test robustness with real-life datasets in
multiple use cases to determine if implementations of OTM and real-
world data are also as straightforward to map for process mining;
▪Comparison study involving organizations that implement and do not
implement the OTM, solution alternatives (e.g., the GS1 EPICS) and
alternative approached (e.g., data mining, machine learning).
4/28/2021 10
OUTLOOK
DIRECTIONS FOR FUTURE RESEARCH AND DEVELOPMENT
EVALUATING THE USE OF THE OPEN TRIP MODEL FOR PROCESS MINING:
AN INFORMAL CONCEPTUAL MAPPING STUDY IN LOGISTICS
J.P.S. PIEST (SPEAKER), J.A. CUTINHA, R.H. BEMTHUIS, F.A. BUKHSH
AREA 1: DATABASES AND INFORMATION SYSTEMS INTEGRATION
23RD INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS