RW-BPMS2016

2nd Workshop on the Role of
Real-world objects
in Business Process Management Systems In conjunction with EDOC 2016

Workshop: , Vienna, Austria

About RW-BPMS

Theme and goal

The increased diffusion of sensors in the world has lead to the possibility to monitor in detail the evolution of several real-world objects of interest. GPS receivers, RFID chips, transponders, detectors, cameras, satellites, etc. concur in the depiction of the current status of monitored things. Therefore, the opportunity arose to connect physical reality to digital information. The screening of real-world objects makes indeed sensors the interface towards real-world information, as they are the originators of machine-readable events. The exploitation of such knowledge is leading to successful applications such as Smart Cities, Flight Monitoring, Pollution Control, Internet of Things, and Dynamic Manufacturing Networks.

The amount of information at hand would consent a fine-grained monitoring, mining, and decision support for business processes, stemming from the joint observation of business-related objects in the real world. However, the main focus of process and data analysis in Business Process Management (BPM) still lies at a high level of abstraction, such as activities’ status, and is based on digital-to-digital information, such as information systems’ data- and activity-centric logs. Furthermore, a limited investigation from the BPM community has been evinced towards the physical-to-digital bridge so far. Such a bridge would be naturally provided by rethought information systems, where the knowledge extracted from real-world objects would best depict the contingencies and the context in which business processes are carried out. At the same time, awareness of physical reality for undertaken actions would allow for a better control over the interaction that the Business Process Management Systems (BPMSs) have with the real world.

The objective of the RW-BPMS workshop is therefore to attract novel research and industry approaches investigating the connection of business processes with real-world objects monitoring. Conceptual, technical and application-oriented contributions are pursued within the scope of this theme.

Download the Call for Papers

Topics

Relevant topics include, but are not limited to:

Real-world objects in decision making, support and process mining

  • Execution/deployment challenges for Business Processes (BPs) that include sensors
  • Using real-world objects monitoring for business process execution and control
  • Integration of data from real-world objects in BPM applications
  • Mixed physical-digital events correlation and aggregation
  • Mining mixed physical-digital events
  • Continuous mining of real-world events for running processes
  • Case identification from sensor data
  • Event log extraction from sensor data

Real-world objects in business process modeling

  • Modeling challenges to combine static information of business process execution and continuously updated information of real-world objects
  • Support for decision making based on sensor data for the business process execution
  • Requirement analysis for integrating real-world objects monitoring with business process monitoring
  • Opportunities of modeling sensor data in business process models
  • Inclusion of real-world information for the visualization of current process status
  • Novel visual representations for mixed physical-digital evolution of processes
  • Modeling flexibility for business process management involving real-world object interactions
  • Real-world objects status compliance to the business model
  • Compliance of the business model to the status evolution of real-world objects
  • Defining constraints on real-world objects in business process modeling

Process adaptivity and prediction based on real-world objects

  • Opportunities of mining sensor data to model business processes
  • Opportunities of mining sensor data to control the execution of business processes
  • Monitoring real-world objects to predict business process execution (e.g. duration of tasks)
  • Mixed physical-digital data aggregation in event analysis
  • Real-world-event driven process adaptation
  • Studies on the effects of process enactments on the real world

General view on real-world objects in BPMSs

  • Empirical research on the integration of real-world objects in BPMSs
  • Case studies on the integration of real-world objects in BPMSs
  • Best practice for the integration of real-world objects in BPMSs
  • Vision papers on the integration of real-world objects in BPMSs

Paper submission

Submission guidelines

Prospective authors are invited to submit papers on any of the topics of the workshop. Papers must be written in English. The following types of submission are accepted:

  • full research papers and experience papers (max. 8 pages),
  • short papers (position paper, work in progress, software demonstration; max. 5 pages).

For the camera ready version, authors are allowed to buy up to 2 extra pages.

Papers must contain original contributions that have not been published previously, nor already submitted to other conferences or journals in parallel with this workshop. Each submission is reviewed by at least three experts in this field.

Submitted papers must follow the IEEE COMSOC format and guidelines. Papers should be submitted electronically as a self-contained PDF file using the EasyChair submission site (https://easychair.org/conferences/?conf=rwbpms2016) by the deadlines indicated below.

Accepted papers will be published in the EDOC 2016 Workshop Proceedings, in a IEEE COMSOC volume. At least one author of each accepted paper must register for the workshop and present the paper. Registration is subject to the terms, conditions and procedure of the main EDOC 2016 conference to be found on its website.

Download the Call for Papers Register

Important dates

Manuscript submission

[extended]

Notification of acceptance

Camera-ready version

Workshop Register


Read the program of the workshop

Program

Timetable

Time Event
 –  Welcome
 –  Keynote: Manfred Reichert, Real-World Aware Process Management: Challenges, Scenarios, Technologies
 –  Maximilian Christ, Julian Krumeich, and Andreas W. Kempa-Liehr, Integrating Predictive Analytics into Complex Event Processing by Using Conditional Density Estimations
 –  Lunch break
 –  Reprise
 –  Selim Erol, and Philipp Hold, Keeping Track of the Physical in Assembly Processes
 –  Florian Pachinger, Zainab Sheikh, Patrik Zajaczkowski, Andreas Rogge-Solti, Stefan Schönig, and Jan Mendling, Comparison of Visualization Concepts of Map Layouts
 –  Remco M. Dijkman, Sander P.F. Peters, and Arthur H.M. ter Hofstede, A Toolkit for Streaming Process Data Analysis
 –  Coffee break
 –  Marcus Birgersson, Gustav Hansson, and Ulrik Franke, Data Integration using Machine Learning
 –  Peter Blank, Michael Maurer, Melanie Siebenhofer, Andreas Rogge-Solti, and Stefan Schönig, Location-Aware Path Alignment in Process Mining
 –  Closing

Read the program of the workshop on the dedicated page of EDOC 2016 website.

Keynote

Manfred Reichert, Real-World Aware Process Management: Challenges, Scenarios, Technologies

Abstract

Business Process Management has been evolving as a research discipline for more than a decade and a multitude of innovative concepts, methods and techniques have been proposed, e.g., related to the modeling, enactment, change, and mining of business processes. Regarding process-aware information systems, however, there often exists a gap between the digitalized workflows and the real-world business processes. In particular, digital workflows are often not well aligned with real-world objects. This keynote speech will reflect on this gap, discuss emerging challenges along real-world scenarios (e.g., Industry 4.0), and present selected technologies relevant in this context. Making digital worfklows real-world aware will provide new prospects for future BPM research.

The keynote speaker

Manfred Reichert is a full professor at Ulm University, where he is director of the Institute of Databases and Information Systems and member of the Management Board of the Faculty of Engineering, Computer Science and Psychology. Before he was working as associate professor at the University of Twente in the Netherlands. Manfred's personal research interests include business process management, flexible process management technology, and advanced process-aware applications (e.g., e-health, automotive engineering).
He has published 19 books (as author or editor), 60 journal papers, 270 refereed conference and workshop papers, and 17 book chapters. His papers are well cited, several of them were awarded (e.g., BPM Test of Time Award 2012). Together with Barbara Weber he published a Springer book entitled "Enabling Flexibility in Process-aware Information Systems", in which he reflects on a decade of research of the BPM community on process flexibility issues. Manfred pioneered the work on the ADEPT process management technology and was co-founder of the AristaFlow Ltd. He was general chair of the BPM'09 and EDOC'14 conferences as well as the BPM'15 workshops. Furthermore, he was PC co-chair of the BPM'08, CoopIS'11, and EDOC'13 conferences.

Location

University of Vienna, Faculty of Computer Science
Währinger Straße 29
1090 Vienna, Austria
Open the map

More information on the location can be found in CAiSE'15 dedicated page.

People

Organizers

Contact the chairs at the following email address: rw-bpms [at] ai [dot] wu [dot] ac [dot] at

Program Committee

  • Marco Aiello, University of Groningen, The Netherlands
  • Daniel Beverungen, University of Münster, Germany
  • Antonio Bucchiarone, Fondazione Bruno Kessler, Italy
  • Cristina Cabanillas, Vienna University of Economics and Business, Austria
  • Paolo Ceravolo, University of Milan, Italy
  • Massimiliano de Leoni, Eindhoven University of Technology, The Netherlands
  • Gero Decker, Signavio GmbH, Germany
  • Schahram Dustdar, Vienna University of Technology, Austria
  • Selim Erol, Vienna University of Technology, Austria
  • Dirk Fahland, Technical University of Eindhoven, The Netherlands
  • Fabiana Fournier, IBM Research, Haifa, Israel
  • Avigdor Gal, Technion - Israel Institute of Technology, Israel
  • Paul Grefen, Eindhoven University of Technology, The Netherlands
  • Bernhard Holtkamp, Fraunhofer, Germany
  • Christian Janiesch, Karlsruhe Institute of Technology, Germany
  • Francesco Leotta, Sapienza University of Rome, Italy
  • Fabrizio Maria Maggi, University of Tartu, Estonia
  • Andrea Marrella, Sapienza University of Rome, Italy
  • Massimo Mecella, Sapienza University of Rome, Italy
  • Josiane Xavier Parreira, Siemens AG, Austria
  • Andreas Rogge-Solti, Vienna University of Economics and Business, Austria
  • Stefan Schulte, Vienna University of Technology, Austria
  • Stefan Sobernig, Vienna University of Economics and Business, Austria
  • Pnina Soffer, University of Haifa, Israel
  • Mark Strembeck, Vienna University of Economics and Business, Austria
  • Barbara Weber, University of Innsbruck, Austria
  • Matthias Weidlich, Humboldt-Universität zu Berlin, Germany
  • Mathias Weske, Hasso-Plattner-Institut at the University of Potsdam, Germany