Dr. Stefan Schönig (Maxsyma), Ana Paula Aires, Andreas Ermer, Stefan Jablonski (Uni Bayreuth)

The Internet of Things (IoT) is the inter-networking of physical objects like electronic hardware or humans using wearable digital devices. IoT allows things to be controlled remotely across existing network infrastructures. A business process is a collection of related events, activities, and decisions that involve a number of resources. To support processes at an operational level, a BPM system (BPMS) can be used. During process execution, a variety of information is required to make meaningful decisions. With the emergence of IoT, data is generated from physical devices sensing their environment that reflects certain aspects of operative processes. We introduce a toolset for an IoT-aware business process execution system that exploits IoT for BPM by providing IoT data in a process-aware way, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context specific IoT data provision. The toolset has been evaluated extensively in production industry.

Dr. Stefan Schönig (Maxsyma), Lars Ackermann, Stefan Jablonski (Uni Bayreuth), Andreas Ermer

Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). While several works are emerging on combining BPM and the IoT, the exploitation of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between both worlds. In this paper, we introduce an integrated approach for IoT-aware business process execution that exploits IoT for BPM by providing IoT data in a process-aware way, providing an IoT data provenance framework, considering IoT data for interaction in a pre-defined process model, and providing wearable user interfaces with context specific IoT data provision. The approach has been implemented and evaluated extensively in production industry. The results show that the application of IoT enhanced BPM leads to less machine stops.

Dr. Stefan Schönig (Maxsyma) Stefan Jablonski (Uni Bayreuth), Andreas Ermer und Ana Paula Aires Silva

A manufacturing information system is targeted for use anywhere production is taking place. Modern manufacturing information systems are generally computerized and are designed to collect and present the data which production operators need in order to plan and direct operations within the production. The application of mobile and wearable devices can support operators‘ tasks without distracting them from their core duties. In this paper, we present an approach towards a wearable manufacturing information system that is able to implement decentralized production monitoring and control and supports users in their core tasks. Building upon acquired and digitally stored production data, these devices provide different user-specific information and services when required. A practical example from corrugation industry highlights advantages of mobile devices compared to conventional centralized systems in the field of manufacturing.

Dr. Stefan Schönig

Maxsyma präsentiert seine Entwicklungen und Erfahrungen bei der Umsetzung und Einführung von tragbaren Informationssystemen in der Produktion unter Einbeziehung von Workflow Unterstützung.