Stefan Schönig

Stefan Schönig
Universität Regensburg | UR · Institut für Wirtschaftsinformatik

Prof. Dr.

About

99
Publications
15,374
Reads
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664
Citations
Citations since 2016
72 Research Items
606 Citations
2016201720182019202020212022020406080100120140
2016201720182019202020212022020406080100120140
2016201720182019202020212022020406080100120140
2016201720182019202020212022020406080100120140
Additional affiliations
October 2019 - present
Universität Regensburg
Position
  • Professor (Associate)
September 2015 - April 2016
Wirtschaftsuniversität Wien
Position
  • PostDoc Position
November 2011 - October 2019
University of Bayreuth
Position
  • Project Staff Member

Publications

Publications (99)
Conference Paper
A Process-Aware Information System is a system that executes processes involving people, applications, and data on the basis of process models. At least two process modeling paradigms can be distinguished: procedural models prescribe exactly the execution order of process steps. Declarative process models allow flexible process executions that are...
Conference Paper
Full-text available
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 syste...
Article
Process mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different business process perspectives. The organisational perspective deals, among other things, with the assignment of human resources to process activities. Information about the resources that are involved in process activities can...
Article
Full-text available
Process mining aims at discovering processes by extracting knowledge about their different perspectives from event logs. The resource perspective (or organisational perspective) deals, among others, with the assignment of resources to process activities. Mining in relation to this perspective aims to extract rules on resource assignments for the pr...
Conference Paper
Full-text available
Process discovery is one of the main branches of process mining that allows the user to build a process model representing the process behavior as recorded in the logs. Standard process discovery techniques produce as output a procedural process model (e.g., a Petri net). Recently, several approaches have been developed to derive declarative proces...
Conference Paper
The Industrial Internet of Things (IIoT) paradigm constitutes the connection of uniquely identifiable things to the internet in an industrial context. It provides disruptive capabilities and value propositions, especially for the management and improvement of business processes. To exploit these, many companies have already implemented manifold IIo...
Conference Paper
The number of Internet of Things (IoT) devices is constantly growing across all areas of private and professional life. Especially industrial organizations are increasingly recognizing the IoT's disruptive capabilities and potential benefits for business processes along all value chain activities. In this regard, the integration of IoT technology i...
Conference Paper
Full-text available
Companies of all industrial sectors are increasingly integrating Internet of Things (IoT) technology into their processes to realize a data-driven transformation of their businesses. The generation and use of comprehensive process data in real-time and the connection of process entities enables an improvement and beneficial redesign of business pro...
Conference Paper
Business process modeling is an established method to describe workflows in enterprises. The resulting models contain tasks that are executed by process participants. If the descriptions of such tasks are too abstract or do not contain all relevant details of a business process, deviating process executions may be observed. This leads to reduced pr...
Chapter
The Industrial Internet of Things (IIoT) enables the connection of industrial operational technology (OT) with information technology (IT). However, the convergence of IT and OT has the drawback that machines become increasingly vulnerable to cyber attacks. Therefore, security aspects for OT areas require special attention. The integration of Secur...
Chapter
Full-text available
The integration of high frequency event data from Internet of Things (IoT) devices into existing complex and mature Business Process Management Systems (BPMS) constitutes a major hurdle for many organizations. Event-Driven Business Process Management (EDBPM) is a paradigm to tackle this hurdle and to lever the enhancement of industrial IoT applicat...
Article
Full-text available
Declarative process modelling languages focus on describing a process by restrictions over the behaviour, which must be satisfied throughout the whole process execution. Hence, they are well-suited for modelling knowledge-intensive processes with many decision points. However, such models can be hard to read and understand, which affect the modelli...
Chapter
Predictive business process monitoring is concerned with the prediction how a running process instance will unfold up to its completion at runtime. Most of the proposed approaches rely on a wide number of machine learning techniques. In the last years numerous studies revealed that these methods can be successfully applied for different prediction...
Chapter
Situation faced: Because of increasing automation and staff reduction, fewer operators are available to control a corrugated paper production line. Hence, users must go to several locations to access the available control panels, resulting in delayed information flows. These delayed reaction times are frequently the reason for increased numbers of...
Chapter
In predictive business process monitoring current and historical process data from event logs is used to predict the evolvement of running process instances. A wide number of machine learning approaches, especially different types of artificial neural networks, are successfully applied for this task. Nevertheless, experimental studies revealed that...
Article
The Internet of Things (IoT) enables continuous monitoring of phenomena based on sensing devices as well as analytics opportunities in smart environments. Complex Event Processing (CEP) comprises a set of techniques for making sense of the behavior of a monitored system by deriving higher level knowledge from lower level system events. Business Pro...
Chapter
Process execution and monitoring based on Internet of Things (IoT) data can enable a more comprehensive view on processes. In our previous research, we developed an approach that implements an IoT-aware Business Process Management System (BPMS), comprising an integrated architecture for connecting IoT data to a BPMS. Furthermore, a wearable process...
Conference Paper
The Internet of Things (IoT) enables continuous monitoring of phenomena based on sensing devices as well as analytics opportunities in smart environments. Complex Event Processing (CEP) comprises a set of techniques for making sense of the behavior of a monitored system by deriving higher level knowledge from lower level system events. Business Pro...
Conference Paper
In predictive business process monitoring current and historical process data from event logs is used to predict the evolvement of running process instances up to their completion. A wide number of machine learning approaches, especially different types of artificial neural networks, are successfully applied for this task. Nevertheless, experimenta...
Chapter
Nowadays, business process management is getting more and more important. A wide variety of process modeling languages is available. Hence one of the most complicated tasks of entrepreneurs is to choose the modeling language which suits their respective problems and purposes best. Each of the modeling languages has its own advantages and disadvanta...
Chapter
Business process modeling is an established method to improve business procedures and to provide more insights into internal workflows. Once the process is visualized in a business process model, future process executions correspond to the workflow prescribed by the process model. Process details like input specifications or the order of internal s...
Conference Paper
Full-text available
Following the trend of Industry 4.0 and Cyber-Physical Systems (CPS), many industrial companies perform costly projects to integrate Internet of Things (IoT) applications aiming at beneficial business process improvements. However, deciding on the right IoT projects is challenging and often based on unilateral assessments that lack the required pro...
Preprint
Full-text available
Predictive business process monitoring is concerned with the prediction how a running process instance will unfold up to its completion at runtime. Most of the proposed approaches rely on a wide number of different machine learning (ML) techniques. In the last years numerous comparative studies, reviews, and benchmarks of such approaches where publ...
Article
Declarative process modelling languages focus on describing a process by restrictions over the behaviour, which must be satisfied throughout the whole process execution. Hence, they are well suited for modelling knowledge-intensive processes with many decision points. However, such models can be hard to read and understand, which affect the modelli...
Conference Paper
Process execution and monitoring based on Internet of Things (IoT) data can enable a more comprehensive view on processes. In our previous research, we developed an approach that implements an IoT-aware Business Process Management System (BPMS), comprising an integrated architecture for connecting IoT data to a BPMS. Furthermore, a wearable process...
Article
Industry 4.0 is characterized by the digitization and networking of machines and systems in production. The amount of data in production is increasing, providing information about processes and thus enables the autonomous monitoring, control and optimization of value creation processes. However, there have been several open challenges, current rese...
Conference Paper
Full-text available
Understanding how workflows are actually carried out within an organization can provide a crucial contribution to business process improvement. This paper presents a concept for reconstructing a business process by using file residuals on a hard-drive and without the need for existing event logs. Thereby, methods from the area of process mining are...
Article
Full-text available
Business processes are frequently executed within application systems that involve humans, computer systems as well as objects of the Internet of Things (IoT). Nevertheless, the usage of IoT technology for system supported process execution is still constrained by the absence of a common system architecture that manages the communication between bo...
Article
Full-text available
Automated process discovery is a technique that extracts models of executed processes from event logs. Logs typically include information about the activities performed, their timestamps and the resources that were involved in their execution. Recent approaches to process discovery put a special emphasis on (human) resources, aiming at constructing...
Chapter
Companies deploy workflow management systems which interpret process models to ensure compliance of operational duties by automatically distribute work items to employees or machinery. Enterprises are often forced to outsource services and join interorganizational collaborations, e.g. in supply chain scenarios, to remain competitive on the market....
Article
Context: Tool support for business process management (BPM) is improving more and more. Often, machine learning techniques are used to recognize certain execution patterns, to optimize workflows and to observe or predict processes. Frequently, many organisations cannot meet the fundamental prerequisites of machine learning methods since less data i...
Chapter
Declarative process models consist of temporal constraints that a process must satisfy during execution. Constraint templates are patterns that define parameterized classes of properties. Their semantics can be formalized using formal logics such as Linear Temporal Logic (LTL) over finite traces. There exists a big amount of different constraint te...
Article
Full-text available
Business Process Management provides concepts for enterprises to design, document and execute their business processes. Involved artefacts establish the basis for a profound enhancement of processes, like performance improvements or a substantiate assignment of employees (resources) to tasks. These artefacts comprise process models for documentatio...
Chapter
Process mining techniques allow the user to build a process model representing the process behavior as recorded in the logs. Standard process discovery techniques produce as output a procedural process model. Recently, several approaches have been developed to extract declarative process models from logs and have been proven to be more suitable to...
Conference Paper
Full-text available
Process mining is the area of research that embraces the automated discovery, conformance checking and enhancement of process models. Declarative process mining approaches offer capabilities to automatically discover models of flexible processes from event logs. However, they often suffer from performance issues with real-life event logs, especiall...
Article
Durch die Möglichkeiten, die mit der digitalen Transformation einhergehen, lässt sich die Produktionsplanung und -steuerung unterstützen. Dabei ermöglichen Prozessführungs-, Prozessüberwachungs-, sowie Analysedaten auf Basis von Internet of Things (IoT)-Anwendungen eine umfassende Sicht auf Abläufe in der Produktion. In diesem Artikel wird ein Ansa...
Article
Full-text available
Declarative process management has emerged as an alternative solution for describing flexible workflows. In turn, the modelling opportunities with languages such as Declare are less intuitive and hard to implement. The area of process discovery covers the automatic discovery of process models. It has been shown that the performance of process minin...
Chapter
Interorganizational process management bears an enormous potential for improving the collaboration among associated business partners. A major restriction is the need for a trusted third party implementing the process across the participating actors. Blockchain technology can dissolve this lack of trust due to consensus mechanisms. After the rise o...
Chapter
A Process-Aware Information System is a system that executes processes involving people, applications, and data on the basis of process models. At least two process modeling paradigms can be distinguished: procedural models define exactly the execution order of process steps. Declarative process models allow flexible process executions that are res...
Chapter
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 involves a number of resources. To suppo...
Conference Paper
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 involves a number of resources. To suppo...
Conference Paper
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...
Conference Paper
Full-text available
The Declarative Process Intermediate Language (DPIL) is a declarative process modelling language that allows for specifying multiperspective and multi-modal flexible, processes. The DPIL Framework provides a tool set for supporting flexible and multi-perspective business processes based on the language DPIL. The DPIL Navigator 2.0 depicts a declara...
Conference Paper
Full-text available
Declarative process models define the behaviour of processes by means of constraints exerted over their activities. Multi-perspective declarative approaches extend the expressiveness of those constraints to include resources, time, and information artefacts. In this paper, we present a fast distributed approach and software prototype to discover mu...
Conference Paper
When enterprises are determined to introduce process management, they usually aim at IT system supported execution of processes. In constrast to this common tendency of process technology, we provide a straightforward, quickly viable alternative to IT-based process support at a reasonable effort: the Process Checklist. The paper-based scheme we int...
Conference Paper
Rising energy costs, a green image and fulfilling of political demands are some reasons, why companies try to reduce their energy consumption. Biggest challenge is to identify potentials, derive measures and realize them. Although, measuring instruments are available in a great variety there exists no cheap and flexible system, which uses the measu...
Article
The application of mobile devices can support operators‘ tasks without distracting them from their core duties. 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 in th...
Article
Full-text available
When enterprises are determined to introduce process management, they usually aim at IT system supported execution of processes by Workflow Management Systems (WfMSs) or Process-aware Information Systems. In constrast to this common tendency of process technology, we introduce a paper-based scheme to enact and execute human-driven processes in the...
Article
Full-text available
Process mining aims at discovering processes by extracting knowledge from event logs. Such knowledge may refer to different business process perspectives. The organisational perspective deals, among other things, with the assignment of human resources to process activities. Information about the resources that are involved in process activities can...
Conference Paper
Flexible business processes can often be modelled more easily using a declarative process modeling language (DPML) rather than an imperative language. Process mining aims at automating the discovery of process models. One way to evaluate process mining techniques is to synthesize event logs from a source model via simulation techniques and to compa...
Conference Paper
Imperative languages like BPMN are eminently suitable for representing routine processes and are likewise cumbersome in case of flexible processes. The latter are easier to describe using declarative process modeling languages (DPMLs). However, understandability and tool support of DPMLs are comparatively poor. Additionally, there may be an affnity...
Conference Paper
Full-text available
Flexible business processes can often be modelled more easily using a declarative rather than a procedural modelling approach. Process mining aims at automating the discovery of business process models. Existing declarative process mining approaches either suffer from performance issues with real-life event logs or limit their expressiveness to a s...
Conference Paper
Full-text available
Process modeling is usually done using imperative modeling languages like BPMN or EPCs. In order to cope with the complexity of human-centric and flexible business processes several declarative process modeling languages (DPMLs) have been developed during the last years. DPMLs allow for the speci�cation of constraints that restrict execution flows....
Article
Process modeling is usually done using imperative modeling languages like BPMN or EPCs. In order to cope with the complexity of human-centric and flexible business processes several declarative process modeling languages (DPMLs) have been developed during the last years. DPMLs allow for the specification of constraints that restrict execution flows...
Conference Paper
Prozesse in Organisationen lassen sich grundsätzlich in zwei Klassen unterteilen: Strikte Routineprozesse und flexible Prozesse mit einem sich dynamisch entwickelnden, variablen Kontrollfluss. Aufgrund der unterschiedlichen Natur strikter und flexibler Prozesse entstanden auch zwei verschiedene Klassen von Prozessmodellierungssprachen: imperative u...
Article
Full-text available
Flexible business processes can often be modelled more easily using a declarative rather than a procedural modelling approach. Process mining aims at automating the discovery of business process models. Existing declarative process mining approaches either su?er performance issues with real-life event logs or limit their expressiveness to a specifi...
Thesis
Prozessmanagement gilt als Ansatz, durch Modellierung und Unterstützung von Prozessen in Organisationen, Dienstleistungen effektiv zu gestalten. Es existieren verschiedene Arten von Prozessen: Strikte Prozesse, deren wiederkehrende Abläufe bereits zur Entwurfszeit festgelegt werden können und agile, personenbezogene Prozesse, deren Verhalten sich n...
Conference Paper
Full-text available
The Declarative Process Intermediate Language (DPIL) is a declarative process modelling language that allows for specifying multiperspective and multi-modal agile, i.e., flexible, processes. The expressiveness of DPIL and its suitability for business process modelling have been evaluated with respect to the well-known Workflow Patterns. The DPIL Fr...
Conference Paper
Full-text available
The spectrum of business processes can be divided into two types: well-structured routine processes and agile processes with control flow that evolves at run time. In a similar way, two different representational paradigms can be distinguished: procedural models and declarative models which define rules that a process has to satisfy. Agile processe...
Conference Paper
Two different types of processes can be distinguished: well-structured routine processes and agile processes where the control-flow cannot be predefined a priori. In a similar way, two modeling paradigms exist whereby procedural models are more adequate for routine processes and declarative models are more suitable for agile processes. Often busine...
Conference Paper
Full-text available
Agile processes depend on human resources, decisions and expert knowledge, and they are especially versatile and comprise rather complex scenarios. Declarative, i.e., rule-based, process models are wellsuited for modelling these processes. Although there are several mining techniques to discover such declarative process models from event logs, they...
Conference Paper
Full-text available
Agile processes depend on human resources, decisions and expert knowledge and are especially versatile and comprise rather complex coherencies. Rule-based process models are well-suited for modelling these processes. There exist a number of process mining approaches to discover rule-based process models from event logs. However, existing rule-based...
Conference Paper
As business process models are widely used and essential for most organizations, the problem of multiple modeled processes rises. This can happen if a process is modeled by different modelers or if or- ganizations merge. In order to cope with this issue, typically process model similarity matching methods are used. Thereby, pure textual 1:1- matchi...
Conference Paper
The spectrum of an organization’s business processes ranges from routine processes with a well-defined flow to agile processes with a degree of uncertainty. The Process Navigation platform aims at supporting both types of processes as well as combinations of them. It offers execution support for traditional flow-oriented notations like BPMN as they...
Conference Paper
Organizations increasingly determine process models to support documentation and redesign of work flows. In various situations correspondences between activities of different process models have to be found. The challenge is to find a similarity measure to identify similar activities in different process models. Current matching techniques predomin...
Conference Paper
In traditional approaches business processes are executed on top of IT-based Workflow-Management Systems (WfMS). The key benefits of the application of a WfMS are task coordination, step-by-step guidance through process execution and traceability supporting compliance issues. However, when dealing with human-driven workflows, conventional WfMS turn...