University of Twente Student Theses


Creating standardized process mining applications based on the open trip model

Baas, T. (2022) Creating standardized process mining applications based on the open trip model.

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Abstract:This bachelor thesis has been executed in collaboration with Bullit Digital and EMONS Group. Bullit Digital is the developer of Officedog, and EMONS Group is a logistics company that works with Bullit Digital on the development of Officedog. Motivation The research has started since EMONS Group and Bullit Digital have sought to develop standardized process mining applications for the platform Officedog based on the open trip model. The open trip model is a semantic standard that ensures that data will be formatted in a unified way. Since Officedog works based on the open trip model, developed process mining applications can be used by multiple clients and are called standardized process mining applications. Standardized process mining applications can be used to make a clear overview of processes and the detection of possible bottlenecks from data provided to Officedog by its partners. Bottlenecks are particularly interesting since they are assumed to cause inefficient logistics for EMONS Group. Therefore, identifying process flow and detecting bottlenecks are potent tools to indicate where processes might be improved inside businesses. Since there are currently no standardized process mining applications available, the research will be focused on creating these for Officedog Research question The main research question for this research was, "Which standardized process mining applications can be developed based on the open trip model to support logistics companies by detecting, analyzing, and resolving bottlenecks in their operations?" This question has been chosen as the main research question because information about all three aspects is needed to create suitable standardized process mining applications for Officedog. Therefore, the main research question has been split up into three sub-questions which are focused on either the aspect of detecting, analyzing, or resolving bottlenecks by the creation of standardized process mining applications. Methodology There has been chosen to use the Design Science Research Methodology (DSRM) in this research. There has first been done an identification of the problem of this research: bottlenecks assuming to create less efficiency in logistics for partners of Officedog. After this, the objective of a solution was defined as the creation of standardized process mining applications for Officedog. Then there has been started the actual design and development of standardized process mining applications, which were made with Python in a Jupyter Notebook connected to the Officedog database. In the Jupyter Notebook, standardized process mining applications were made and demonstrated on data from the EMONS Group. Results The results of this research are some standardized process mining applications that have been developed. The first standardized process mining application created is the mapping and statistical analysis of activities. This standardized process application can be helpful since it visualizes where bottlenecks are occurring based on activities, and a statistical analysis might reveal patterns about frequent days that particular bottlenecks occur. Based on this information, the management board can try to resolve the bottlenecks, e.g.waiting times or traffic jams. This resolve can be done by choosing a different route that is predicted to cause fewer waiting times for the truck drivers. The second standardized process mining application developed is truck drivers' driving and rest time analysis. The European Union has made guidelines for driving & rest times of truck drivers, which can be analyzed to see if these are in line with the European guidelines. This gives a powerful insight into the truck drivers' driving behavior and can be used to create better driving & rest times.
Item Type:Essay (Bachelor)
Bullit Digital
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:54 computer science, 57 mining engineering
Programme:Industrial Engineering and Management BSc (56994)
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