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.
翻译：在工序采矿领域,用地理定位丰富工序模型有助于更好地了解工序活动的实际执行方式。在本文中,我们介绍了我们的地理化工序建模构想,并报告了我们的工业经验。为此,我们提出一个真实世界案例研究,说明考虑工序采矿地点的重要性。然后,我们讨论现有工序采矿工具的缺点,并提出我们建模地理化工序的新办法,重点是:(1) 通过地理可视化提高工序可解释性;(2) 将与地点有关的元数据纳入工序分析;(3) 利用基于地点的措施评估工序业绩。最后,我们根据未来研究方向完成论文。
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