Abstract
In this research contribution we have introduced a management tool for tracking key performance indicators (KPIs) in production processes. This tool can be used by executives or persons responsible for process management of a Smart Factory in a strategic manner, for defining performance targets by using Smart Production dimensions. The presented management tool allows attaching and tracking of KPIs to single tasks and activities of a business/manufacturing process modeled in Business Process Model and Notation (BPMN). Additionally it allows tracking of cycle time through the process on the task level. The extended version of this chapter also includes additionally a short Internet of Things (IoT) integration scenario for our tool. In this research work, we have described the functionality of the management tool by illustrating how it can be applied in a Smart Factory by using an Industry 4.0 use case scenario. Through a simple use case, we have shown that our management tool suits well for tracking of KPIs and cycle times in intelligent manufacturing procedures where business processes, systems, and humans interact with each other.
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Softic, S., Lüftenegger, E., Turcin, I. (2020). Tracking and Analyzing Processes in Smart Production. In: Al-Turjman, F. (eds) Trends in Cloud-based IoT. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-40037-8_3
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