Master data

Title: Dynamic Controllability of Processes without Surprises
Subtitle:
Abstract:

Dynamic controllability guarantees that a process control can steer the execution of a business process without violating any temporal constraints although some tasks have uncontrollable durations. However, it has been shown that dynamic controllability may lead to process executions with the undesirable property that tasks have to be started or ended on extremely short notice. Sudden termination forces the agent to immediately terminate the execution of a process task without any prior notice in order to meet some temporal constraints. Semi-dynamic controllability guarantees dynamic controllability and the absence of sudden termination. Here, we show that dynamic controllability may also lead to the problem of sudden start, which forces the immediate start of a process task without prior notice. We formalize all constellations of temporal constraints causing sudden start and sudden termination in a process. We propose a technique to design processes in which activities can be dynamically dispatched without these surprises, i.e., with advance notice, and extend the notion of semi-dynamic controllability by also considering the sudden start. This leads to a sound and complete algorithm for checking the semi-dynamic controllability of time-constrained processes.

Keywords: process scheduling; contingent durations; sudden start; sudden termination; dynamic controllability
Publication type: Article in journal (Authorship)
Publication date: 29.01.2022 (Online)
Published by: Applied Sciences
Applied Sciences
to publication
 ( MDPI Publishing; T. Kobayashi )
Title of the series: Mirage Effect Detects Chiral Metasurfaces
Volume number: 12
Issue: 3
First publication: Yes
Version: -
Page: -

Versionen

Keine Version vorhanden
Publication date: 29.01.2022
ISBN (e-book): -
eISSN: 2076-3417
DOI: http://dx.doi.org/10.3390/app12031461
Homepage: https://mdpi-res.com/d_attachment/applsci/applsci-12-01461/article_deploy/applsci-12-01461-v2.pdf?version=1644309691
Open access
  • Available online (open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informatik-Systeme
Universitätsstr. 65-67
A-9020 Klagenfurt
Austria
  -993503
   kerstin.smounig@aau.at
https://www.aau.at/isys/
To organisation
Universitätsstr. 65-67
AT - A-9020  Klagenfurt

Categorisation

Subject areas
  • 102001 - Artificial intelligence
  • 102006 - Computer supported cooperative work (CSCW)
  • 102010 - Database systems
  • 102015 - Information systems
  • 102022 - Software development
Research Cluster No research Research Cluster selected
Citation index
  • Science Citation Index Expanded (SCI Expanded)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: II)
Classification raster of the assigned organisational units:
working groups
  • Information and Communication Systems (ICS)

Cooperations

No partner organisations selected

Articles of the publication

No related publications