Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/226355

Title

Incorporating structural improvement into resource allocation for business process execution planning

Author(s)

Xu, Jiajie;  Liu, Chengfei;  Zhao, Xiaohui;  Ding , Zhiming

Abstract

Resource management has been recognised as an important topic for business process execution for a long time. Most existing works on resource allocation for business processes simply assume that the structure of a business process is always fixed, and therefore do not discuss the possibility of optimising resource allocation by adapting process structures to actual resource situations. To fill this gap, we propose a resource optimisation approach of improving process structures according to resource situations and thereby pursuing the best resource utilisation efficiency. This approach comprises a role-based business process model for resource allocation and the strategies for optimising resource allocation in conjunction with a business process improvement. A set of heuristic rules are established to guide the resource allocation for the purposes of preventing resource conflicts, shortening the total execution time, minimising the total cost, etc. Particular algorithms are also developed to implement the resource allocation according to these rules. In addition, an experimental study is conducted to discuss the incorporation of business process improvement into resource allocation for optimal process execution.

Publication type

Journal article

Research centre

Swinburne University of Technology. Faculty of Information and Communication Technologies

Source

Concurrency Computation: Practice and Experience, Vol. 25, no. 3 (Mar 2013), pp. 427-442

Publication year

2013

FOR Code(s)

0803 Computer Software;  0805 Distributed Computing

Keyword(s)

Business process management;  Process change management;  Resource allocation

Publisher

John Wiley & Sons

ISSN

1532-0626

Publisher URL

http://dx.doi.org/10.1002/cpe.2855

Copyright

Copyright © 2012 John Wiley & Sons, Ltd.

Research Projects

Novel cloud computing based workflow technology for managing large numbers of process instances, Australian Research Council grant number LP0990393

Peer reviewed