FRANÇAIS
A showcase of ÉTS researchers’ publications and other contributions
SEARCH

Context-aware business processes modelling: Concepts, issues and framework

Downloads

Downloads per month over past year

Boukadi, Khouloud, Chaabane, Amin et Vincent, Lucien. 2009. « Context-aware business processes modelling: Concepts, issues and framework ». IFAC Proceedings Volumes, vol. 42, nº 4. pp. 1376-13881.
Compte des citations dans Scopus : 2.

[img]
Preview
PDF
Context-Aware-Business-Processes-Modelling-Concepts-Issues-and-Framework.pdf
Use licence: All rights reserved to copyright holder.

Download (1MB) | Preview

Abstract

Recent research activities on the design of business processes were driven by flexibility. Process flexibility can be achieved through the ability to trigger dynamic changes in the core of business process components in a timely manner and in response to business environment evolution. The drivers for business process flexibility can be found in the “Context” of a process which may include among others time, location, weather, legislation, and culture. Context-Aware Business Process Modelling extends traditional business process models with contextual variables that trigger a dynamic behavior under continuous change. However, as yet, most of the research work in this area has focused on some specific contextual information to model some varying parts such as business rules and goals. Little attention has given to the design and development of a general framework for context-aware business process modelling. In this paper, major business process components were extracted from the main existent business process design formalisms, amplified by contextual information, and integrated into a more a general framework. A case study of a well known European Logistics Enterprise is used to illustrate how contextual information should be integrated within existent business process modeling approaches.

Item Type: Peer reviewed article published in a journal
Additional Information: Thématique : 13th IFAC Symposium on Information Control Problems in Manufacturing
Professor:
Professor
Chaabane, Amin
Affiliation: Génie de la production automatisée
Date Deposited: 12 Jan 2017 16:22
Last Modified: 12 Jan 2017 20:53
URI: https://espace2.etsmtl.ca/id/eprint/14283

Actions (login required)

View Item View Item