Modelling complex resource requirements in Business Process Management Systems


Autoria(s): Ouyang, Chun; Wynn, Moe Thandar; Fidge, Colin; ter Hofstede, Arthur H.M.; Kuhr, Jan-Christian
Contribuinte(s)

Rosemann, Michael

Green, Peter

Rohde, Fiona

Data(s)

01/12/2010

Resumo

Real-world business processes are resource-intensive. In work environments human resources usually multitask, both human and non-human resources are typically shared between tasks, and multiple resources are sometimes necessary to undertake a single task. However, current Business Process Management Systems focus on task-resource allocation in terms of individual human resources only and lack support for a full spectrum of resource classes (e.g., human or non-human, application or non-application, individual or teamwork, schedulable or unschedulable) that could contribute to tasks within a business process. In this paper we develop a conceptual data model of resources that takes into account the various resource classes and their interactions. The resulting conceptual resource model is validated using a real-life healthcare scenario.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/38548/

Publicador

ACIS

Relação

http://eprints.qut.edu.au/38548/1/ACIS2010_Paper217.pdf

http://mlaa.com.au/acis2010/

Ouyang, Chun, Wynn, Moe Thandar, Fidge, Colin, ter Hofstede, Arthur H.M., & Kuhr, Jan-Christian (2010) Modelling complex resource requirements in Business Process Management Systems. In Rosemann, Michael, Green, Peter, & Rohde, Fiona (Eds.) ACIS 2010 Proceedings, ACIS, Queensland University of Technology, Brisbane.

Direitos

Copyright 2010 ACIS & the authors.

Fonte

Faculty of Science and Technology

Palavras-Chave #080608 Information Systems Development Methodologies #080609 Information Systems Management #resource modelling #business process management #process automation #conceptual data modelling
Tipo

Conference Paper