International Workshop

PM-DiPro 2019

Process Management in Digital Production
@ Business Process Management Conference (BPM), 1-6 September 2019, Wien, Austria

BPM 2019

Call for Papers

"Process Management in Digital Production" (PM-DiPro)

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.


The list of topics that are relevant to the PM-DiPro workshop includes, but is not limited to:

  • 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


May 31, 2019

Submission Deadline

July 1, 2019


via eMail

July 12, 2019


September 2, 2019


in Vienna


Authors are invited to submit original, previously unpublished papers.

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: 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).

Submissions should be made via the Easychair system through the PM-DiPro submission page.



Juergen ManglerUniversity of Vienna
Stefanie Rinderle-MaUniversity of Vienna
Christian HuemerTU Wien
Gerti KappelTU Wien
Stefan ThalmannTU Graz
Stefanie LindstaedtKnow-Center Graz
Georg GrossmannUniversity of South Australia


Marc StreitJohannes Kepler University Linz
René PeinlHochschule Hof
Heimo GurschKnow-Center Graz
Karolin WinterUniversity of Vienna
Florian PaukerUniversity of Vienna, EVVA Sicherheitstechnik GmbH
Maria Teresa Gomez LopezUniversity of Seville
Belgin MutluKnow-Center Graz
Tobias SchreckTU Graz
Florian StertzUniversity of Vienna
Tatjana ZolotarevaAustrian Center for Digital Production
Ralph VigneAustrian Center for Digital Production
Sebastien BougainAustrian Center for Digital Production
Ralf GitzelABB
Wided GuédriaLuxembourg Institute of Science and Technology
Thomas SetzerTechnical University Munich
Felix MannhardSINTEF Digital
Daniel RitterSAP