What is it about?
Though the location of activities influences many business processes, as yet there have been no studies that have utilised location data to predict when a process instance will complete. This paper addresses this problem and demonstrates the importance of location to this prediction problem
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Why is it important?
Even though every business process activity occurs at a location, the logs which typically capture process monitoring data do not typically capture location data. However, as the first law of geography (aka Tobler’s law) states: all objects are related, but nearer objects are more related than further objects." As such, it is expected that location will be able to enables process analysts to determine whether processes outcome exhibit location-specific patterns. This is a question of interest particularly with distributed processes and one that has increased in salience with the COVID-19 pandemic which has necessitated the distribution of process execution, for example, due to the requirement for process performers to work from home. Besides, incorporating location data into process logs facilitates the discovery of the trajectory of process artefacts which could help detect motion waste.
Perspectives
This research 'opens the door' to more than predicting when a process will be completed. It enables us to create discover process differences or recommend specific actions for process performers based on their location
Oluniyi Ogunbiyi
University of Westminster
Read the Original
This page is a summary of: Incorporating spatial context into remaining-time predictive process monitoring, March 2021, ACM (Association for Computing Machinery),
DOI: 10.1145/3412841.3441933.
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