Elastic Business Process Management: State of the art and open challenges for BPM in the cloud

S Schulte, C Janiesch, S Venugopal, I Weber… - Future Generation …, 2015 - Elsevier
With the advent of cloud computing, organizations are nowadays able to react rapidly to
changing demands for computational resources. Not only individual applications can be …

[HTML][HTML] Event processing in supply chain management–The status quo and research outlook

I Konovalenko, A Ludwig - Computers in Industry, 2019 - Elsevier
Increasing supply chain complexity poses new challenges to managers. On the other hand,
evolving information and communication technology offers ample opportunity for more …

Comprehensible predictive models for business processes

D Breuker, M Matzner, P Delfmann, J Becker - Mis Quarterly, 2016 - JSTOR
Predictive modeling approaches in business process management provide a way to
streamline operational business processes. For instance, they can warn decision makers …

The internet of things meets business process management: a manifesto

C Janiesch, A Koschmider, M Mecella… - IEEE Systems, Man …, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) refers to a network of connected devices that collects and
exchanges data through the Internet. These things can be artificial or natural and interact as …

The internet-of-things meets business process management: mutual benefits and challenges

C Janiesch, A Koschmider, M Mecella, B Weber… - CoRR, 2017 - dbis.eprints.uni-ulm.de
The Internet of Things (IoT) refers to a network of connected devices collecting and
exchanging data over the Internet. These things can be artificial or natural, and interact as …

Supporting performance management with business process management and business intelligence: A case analysis of integration and orchestration

VB Vukšić, MP Bach, A Popovič - International journal of information …, 2013 - Elsevier
The case (s) demonstrates the importance of business process management (BPM) and
business intelligence systems (BIS) in achieving better firm performance. It has been well …

Access economy for storage in energy communities

N Vespermann, T Hamacher… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
We address the market design issue for a local energy community, comprising prosumers,
consumers, photovoltaic, and energy storage systems, all connected as a community to a …

Process mining for six sigma: Utilising digital traces

I Kregel, D Stemann, J Koch, A Coners - Computers & industrial …, 2021 - Elsevier
Six Sigma is one of the most successful quality management philosophies of the past 20
years. However, the current challenges facing companies, such as rising process and …

Business process analytics using a big data approach

A Vera-Baquero, R Colomo-Palacios, O Molloy - It Professional, 2013 - ieeexplore.ieee.org
Continuous improvement of business processes is a challenging task that requires complex
and robust supporting systems. Using advanced analytics methods and emerging …

Prescriptive control of business processes: new potentials through predictive analytics of big data in the process manufacturing industry

J Krumeich, D Werth, P Loos - Business & Information Systems …, 2016 - Springer
This paper proposes a concept for a prescriptive control of business processes by using
event-based process predictions. In this regard, it explores new potentials through the …