Workflow simulation for operational decision support


Autoria(s): Rozinat, Anne; Wynn, Moe T.; van der Aalst, Wil M. P.; ter Hofstede, Arthur H. M.; Fidge, Colin J.
Data(s)

01/09/2009

Resumo

Simulation is widely used as a tool for analyzing business processes but is mostly focused on examining abstract steady-state situations. Such analyses are helpful for the initial design of a business process but are less suitable for operational decision making and continuous improvement. Here we describe a simulation system for operational decision support in the context of workflow management. To do this we exploit not only the workflow’s design, but also use logged data describing the system’s observed historic behavior, and incorporate information extracted about the current state of the workflow. Making use of actual data capturing the current state and historic information allows our simulations to accurately predict potential near-future behaviors for different scenarios. The approach is supported by a practical toolset which combines and extends the workflow management system YAWL and the process mining framework ProM.

Identificador

http://eprints.qut.edu.au/27657/

Publicador

Elsevier

Relação

DOI:10.1016/j.datak.2009.02.014

Rozinat, Anne, Wynn, Moe T., van der Aalst, Wil M. P., ter Hofstede, Arthur H. M., & Fidge, Colin J. (2009) Workflow simulation for operational decision support. Data and Knowledge Engineering, 68(9), pp. 834-850.

Direitos

Copyright 2009 Elsevier

Fonte

Faculty of Science and Technology

Palavras-Chave #089999 Information and Computing Sciences not elsewhere classified #Workflow management systems #Simulation
Tipo

Journal Article