== CALL FOR PAPERS ==

 

WORKSHOP on Process Management in Digital Production

 

http://www.wst.univie.ac.at/dipro/

 

in conjunction with the 17th Business Process Management Conference (BPM 2019)

September 1 - 6, 2019, Vienna, Austria

 

 

The goal of PM-DiPro is to establish a forum for researchers and professionals interested in understanding, envisioning and discussing the challenges and opportunities of utilizing Process Management Systems and Data Analytics in industrial settings. Currently on shop-floors data is mostly collected and stored from focusing on individual machines. The increasing digitization of industrial processes also across organizations sometimes labeled industry 4.0 or smart manufacturing, however, requires a more holistic and connected perspective. The introduction of process management technology to orchestrate business processes from ERPs all the way down to machine control seems an appropriate answer and produces much more interconnected data.

 

Subsequently this opens up the potential for gaining much deeper insight into industrial processes through data analytics than ever before. Insights from data analytics can be used to improve business process at design time but also to improve the execution of business processes during run time.

This interdisciplinary workshop is for experts in the field of Mechanical or Electrical Engineering, Automation Engineering, Data Science, Computer Science, Information Systems and Business Process Management.

The workshop aims at discussing the current state of ongoing research and sharing practical experiences, exchanging ideas and setting up future research directions. We aim to bring together practitioners and researchers from different communities such as business process management, automation engineering, mechanical engineering, process mining, and data mining who share an interest in data analytics, process-aware information systems, and the shop-floor.

 

== TOPICS OF INTEREST ==

• BPMN and the shop-floor
• Production process meta-data annotation
• Visualization of large scale production networks
• Mining of machining data
• Temporal analysis of production data
• Statistical analysis of production life-cycles
• Predictive analytics
• Root cause analysis for production errors
• Vizualization of production processes and errors
• Machine-learning and production processes

We also welcome case studies and application papers, covering:

• Scheduling and planing
• Process evolution / re-engineering
• Ad-hoc changes to improve production process performance
• Measuring production process quality
• Production process discovery
• Monitoring of production processes
• Dynamic composition of production

 

 

== SUBMISSIONS ==

Submissions can have up to 12 pages, describing original and novel research work, including research results and evaluations. Papers should not have been published or submitted for publication concurrently elsewhere.

Papers should be written in English, following Springer LNCS style including all text, references, appendices, and figures. For formatting instructions and templates, see the Springer Web page: http://www.springer.de/comp/lncs/authors.html. Submitted papers will be evaluated by at least three members of the international program committee. At least one author of each accepted paper must register and participate in the workshop. The workshop papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP).

 

== IMPORTANT DATES ==

 

- Submission deadline: 24 May, 2019

- Notification deadline:  28 June, 2019

- Camera-ready deadline: 12 July, 2019

- Workshop: 2 September, 2019

 

 

== ORGANIZERS ==

Juergen Mangler	University of Vienna
Stefanie Rinderle-Ma	University of Vienna
Christian Huemer	TU Wien
Gerti Kappel	TU Wien
Stefan Thalmann	University of Graz
Stefanie Lindstaedt	Tu Graz and Know-Center Graz
Georg Grossmann	University of South Australia

 

== PROGRAM COMMITTEE ==

René Peinl	Hochschule Hof
Heimo Gursch	Know-Center Graz
Karolin Winter	University of Vienna
Florian Pauker	University of Vienna, EVVA Sicherheitstechnik GmbH
Maria Teresa Gomez Lopez	University of Seville
Belgin Mutlu	Pro2Future Graz
Tobias Schreck	TU Graz
Florian Stertz	University of Vienna
Marc Streit	Johannes Kepler University Linz
Ralph Vigne	Austrian Center for Digital Production
Sebastien Bougain	Austrian Center for Digital Production
Ralf Gitzel	ABB
Wided Guédria	Luxembourg Institute of Science and Technology
Thomas Setzer	Technical University Munich
Felix Mannhard	SINTEF Digital
Daniel Ritter	SAP

 

== MORE INFORMATION ==

 

Visit the workshop website http://www.wst.univie.ac.at/dipro/ for detailed submission information.