-------- Forwarded Message -------- Subject: [AISWorld] CFP: DIPRO 2019 - Workshop on Process Management in Digital Production Date: Sat, 4 May 2019 17:49:44 +0000 From: Thalmann, Stefan (stefan.thalmann@uni-graz.at) stefan.thalmann@uni-graz.at To: aisworld@lists.aisnet.org aisworld@lists.aisnet.org

== 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)http://www.google.com/url?q=http%3A%2F%2Fwww.springer.com%2Fseries%2F7911&sa=D&sntz=1&usg=AFQjCNFYOdrfCcH2sQ6eoxDNK0khjC7lzA.

== 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.

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