Geo-Enabled Business Process Modeling

Abstract

Recent advancements in location-aware analytics have created novel opportunities in different domains. In the area of process mining, enriching process models with geolocation helps to gain a better understanding of how the process activities are executed in practice. In this paper, we introduce our idea of geo-enabled process modeling and report on our industrial experience. To this end, we present a real-world case study to describe the importance of considering the location in process mining. Then we discuss the shortcomings of currently available process mining tools and propose our novel approach for modeling geo-enabled processes focusing on 1) increasing process interpretability through geo-visualization, 2) incorporating location-related metadata into process analysis, and 3) using location-based measures for the assessment of process performance. Finally, we conclude the paper by future research directions.

Informing Possible Future Worlds

“…Here, location-based data should be used, for example, to allocate the repair order instance and the corresponding tasks to the person closest to the customer's location. However, in the area of BPM most research has touched only aspects of location-awareness such as process adaptation, process modeling and mining (Dörndorfer and Seel 2018;Behkamal et al 2022) or managerial aspects of context-aware processes (Hallerbach et al 2008;. The description and implementation of an executable system based on standard notations such as BPMN to capture and process location data is either neglected or vaguely contained in one of the others.…”