An adaptive work distribution mechanism based on reinforcement learning

Expert Systems with Applications

Volumn 37, Issue 12, 2010, Pages 7533-7541

  Huang, Zhengxing ^a,b   Van Der Aalst, W M P ^a   Lu, Xudong ^b   Duan, Huilong ^b  

^a EINDHOVEN UNIVERSITY OF TECHNOLOGY   (Netherlands)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Business process; Process condition; Reinforcement learning; Rough set theory; Work distribution

Indexed keywords

ADMINISTRATIVE DATA PROCESSING; ENTERPRISE RESOURCE MANAGEMENT; INFORMATION MANAGEMENT; ROUGH SET THEORY;

BUSINESS PROCESS; BUSINESS PROCESS MANAGEMENT; INTEGRAL PART; PROCESS CONDITION; PROCESS PERFORMANCE; PROCESS-AWARE INFORMATION SYSTEMS; WORK DISTRIBUTION;

REINFORCEMENT LEARNING;

EID: 77957826122     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.04.091     Document Type: Article

References (21)

1. Du, W., & Shan, M. C. (1999). Enterprise workflow resource management, In Ninth international workshop on research issue on data engineering.
2. Dumas, M., van der Aalst, W. M. P., & ter Hofstede, A. H. M. (2007). Process-aware information systems: Bridging people and software through process technology. Wiley & Sons.
3. Ferraiolo, D. F., Sandhu, R., Gavrila, S., Kuhn, D. R., & Chandramouli, R. (2001). Proposednist standard for role-based access control. ACM Transactions on Information and System Security, 4(3), 224-274.
4. Kumar, A., van der Aalst, W. M. P., & Verbeek, E. (2002). Dynamical work distribution in workflow management systems: How to balance quality and performance. Journal of Management Information Systems, 18(3), 157-193.
5. Liu, Y., Wang, J., Yang, Y., & Sun, J. (2008). A semi-automatic approach for workflow staff assignment. Computers in Industry, 59, 465-476.
6. Ly, L. T., Rinderle, S., Dadam, P., & Reichert, M. (2006). Mining staff assignment rules from event-based data. In Business process management 2005 workshops. In C. Bussler & A. Haller (Eds.). Lecture notes in computer science (Vol. 3812, pp. 177-190). Berlin: Springer-Verlag.
7. Mahadevan, S., & Kaelbling, L. P. (1996). The NSF workshop on reinforcement learning: Summary and observations. AI Magazine(Winter).
8. Pawlak, Z. (1982). Rough sets. International Journal of Computing and Information Sciences, 11, 341-356.
9. Pesic, M., & van der Aalst, W. M. P. (2007). Modeling work distribution mechanisms using colored petri nets. International Journal on Software Tools for Technology Transfer, 9(3-4), 327-352.
10. ProM Home Page. Available from: .
11. Rinderle-Ma, S., & van der Aalst, W. M. P. (2007). Life-cycle support for staff assignment rules in process-aware information systems. Technical Report. TU Eindhoven.
12. Russell, N., & van der Aalst, W. M. P. (2008). Work distribution and resource management in BPEL4People: Capabilities and opportunities. In Lecture notes in computer science (Vol. 5074).
13. Russell, N., ter Hofstede, A. H. M., Edmond, D., & van der Aalst, W. M. P. (2004). Workflow Resource Patterns, BETA Working Paper Series, WP 127.
14. Shen, Q., & Chouchoulas, A. (2002). A rough-fuzzy approach for generating classification rules. Pattern Recognition, 31(11), 2425-2438.
15. Sutton, R. S., & Barto, A. G. (1998). Reinforcement learning: An introduction. Cambridge, MA: The MIT Press.
16. van der Aalst, W. M. P. (1998). The application of Petri nets to workflow management. Journal of Circuits Systems and Computers, 8(1), 21-66.
17. Van Hee, K., Serebrenik, A., Sidorova, N., & Voorhoeve, M. (2005). Soundness of resource constrainted workflow nets. LNCS, 3536, 250-267.
18. Watkins, C. J. C. H., & Dayan, C. J. C. H. (1992). Q-learning. Machine Learning, 8, 279-292.
19. Workflow Management Coalition: Terminology & Glossary. (1999). WfMC-TC-1011 Workflow Management Coalition. YAWL Home Page. Available from: .
20. Zhang, J., Lu, X., Nie, H., Huang, Z., & van der Aalst, W. M. P. (2009). Radiology information system: A workflow-based approach. International Journal of Computer Assisted Radiology and Surgery, 4(5), 509-516.
21. Zur Muehlen, M. (1999). Resource modeling in workflow applications, In Proceedings of the 1999 workflow management conference (WFM99).