Title :
A Data-Centric Approach to Optimize Time in Workflow-Based Business Process
Author :
Yuqun Zhang ; Perry, Dewayne E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Texas at Austin, Austin, TX, USA
fDate :
June 27 2014-July 2 2014
Abstract :
Business process optimization can provide direct benefits to achieve business goals by improving predetermined objectives. In this paper, we study the properties of time performance and develop approaches to optimize it in work flow based business processes. By applying our data-centric business process modeling techniques, we explore the possibility of reconstructing business process that is realized by modifying the execution order of business activities. Accordingly, we develop efficient algorithms to approach optimal time performance for both a single subprocess and an overall business process.
Keywords :
business data processing; workflow management software; business goals; business process optimization; business process reconstruction; data-centric business process modeling techniques; optimal time performance; predetermined objective improvement; time optimization; work flow based business processes; workflow-based business process; Barium; Connectors; Convergence; Mathematical model; Optimization; Scheduling; business process; data-centric; time performance;
Conference_Titel :
Services Computing (SCC), 2014 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5065-2
DOI :
10.1109/SCC.2014.129
