The Journal of Society for e-Business Studies (한국전자거래학회지)

Society for e-Business Studies (한국전자거래학회)
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Bayesian Selection Rule for Human-Resource Selection in Business Process Management Systems

베이지안 규칙을 사용한 비즈니스 프로세스 관리 시스템에서의 인적 자원 배정

  • Nisafani, Amna Shifia (Department of Information Systems, Institut Teknologi Sepuluh Nopember) ;
  • Wibisono, Arif (Department of Information Systems, Institut Teknologi Sepuluh Nopember) ;
  • Kim, Seung (Dept. of Industrial Engineering, Pusan National University) ;
  • Bae, Hye-Rim (Dept. of Industrial Engineering, Pusan National University)
  • Received : 2011.12.02
  • Accepted : 2012.02.06
  • Published : 2012.02.28
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Abstract

This study developed a method for selection of available human resources for incomingjob allocation that considers factors affecting resource performance in the business process management (BPM) environment. For many years, resource selection has been treated as a very important issue in scheduling due to its direct influence on the speed and quality of task accomplishment. Even though traditional resource selection can work well in many situations, it might not be the best choice when dealing with human resources. Humanresource performance is easily affected by several factors such as workload, queue, working hours, inter-arrival time, and others. The resource-selection rule developed in the present study considers factors that affect human resource performance. We used a Bayesian Network (BN) to incorporate those factors into a single model, which we have called the Bayesian Selection Rule (BSR). Our simulation results show that the BSR can reduce waiting time, completion time and cycle time.

본 연구에서는 비즈니스 프로세스 관리(Business Process Management, BPM) 환경에서 자원의 성능에 영향을 미치게 되는 여러 요소를 고려하여 인적자원을 선택하는 방법론을 개발한다. 스케줄링에 있어서 자원의 선택 문제는 작업 수행도에 직접적인 영향을 미치기 때문에 중요한 문제로 인식되어져 왔다. 비록 많은 문제에 있어서 전통적인 자원선택 방법론이 의미를 가져왔으나, 인적자원을 다루는데 있어서는 가장 좋은 방법론이라고 볼 수 없다. 인적자원은 작업부하, 작업소요시간, 작업간 시간 등의 다양한 요소에 의해서 영향을 받는 특이한 요소이며 본 연구는 이러한 다양한 요소를 고려하여 작업자를 선택하는 방법론을 제시한다. 이를 위해서 베이지안 네트워크를 사용하며, 앞서 기술한 여러 요소들을 한꺼번에 고려하기 위한 베이지안 선택규칙(Bayesian Selection Rule, BSR)을 도입하였다. 또한, 시뮬레이션을 통해서 본 연구에서 개발된 방법론이 대기시간, 작업수행시간과 사이클 타임을 줄일 수 있음을 보였다.

Keywords

References

  1. Peter, A. Hancock and Paula A. Desmond, Stress, workload, and fatigue : Lawrance Elbaum Associates, 2001.
  2. Adnan Darwiche, Modeling and Reasoning with Bayesian Networks. Los Angeles, New York : Cambridge University Press, 2009.
  3. John, S. Uebersax, Genetic Risk Modeling : An Application of Bayes Nets. [Online].www.john-uebersax.com/stat/bayes_net_breast_cancer.doc, 2004.
  4. Luis, M. de Campos, Juan, M. Fernandez- Luna, and Juan F Huete, "Bayesian networks and information retrieval : an introduction to the special issue," Journal of Information Processing and Management, Vol. 40, No. 5, 2004.
  5. Francisco, Diez, Jose Mira, E. Iturralde, and S. Zubillaga, "DIAVAL, a bayesian expert system for echocardiography," Artificial Intelligence in Medicine 10, Vol. 1, pp. 59-73, 1997.
  6. Han-ying Kao, Chia-hui Huang, and Han-lin Li, "Supply Chain Diagnostics with Dynamic Bayesian Networks," Computer and Industrial Engineering, Vol. 49, No. 2, pp. 339-347, 2005. https://doi.org/10.1016/j.cie.2005.06.002
  7. Gregory, F. Cooper and Cooper Edward Herskovits, "A bayesian method for the induction of probabilistics network from data," Machine Learning, Vol. 9, No. 4, pp. 309-347, 1992.
  8. Alan, B. Pritsker and Jean J. O'Reilly, Simulation with Visual SLAM and AweSim. West Lafayette, Indiana USA : System Publishing Corporation, 1999.
  9. Zhengxing, Huang, W. M. P. van der Aalst, and Xudong Lu, "Reinforcement learning based resource allocation in business process management," Data and Knowledge Engineering, Vol. 70, No. 1, pp. 127-145, January 2011. https://doi.org/10.1016/j.datak.2010.09.002
  10. Caroline, B., Hines, "Time-of-Day Effects on Human Performance," Catholic Education, Vol. 7, 2004.
  11. Joanne White MSc and Johanna Beswick, "Working Long Hours," The Health and Safety Laboratory (HSL), UK, HSL/2003/02, 2003.
  12. Kevin, R., Murphy, Human Performance, Vol. 2, No. 3, 1989.
  13. Jong-Min Woo and Teodor T Postolache, "The impact of work environment on mood disorders and suicide : Evidence and implications," Int J Disabil Hum Dev, Vol. 7, No. 2, pp. 185-200, 2008.
  14. Bierwirth, C. and Mattfeld, D. C., "Minimizing job. Tardiness : Priority rules vs. adaptative scheduling," in Adaptative Computing in Design and Manufacture. London : Springer-Verlag, 1998.
  15. Hyerim Bae, Wonchang Hu, Woo Sik Yoo, and Byeong Kwon Kwak, "Document configuration control process captured in a workflow," Computer in Industry, Vol. 53, No. 2, pp. 117-131, 2004. https://doi.org/10.1016/j.compind.2003.07.001
  16. Wikipedia, [Online], http://id.wikipedia.org/wiki/Surat_Izin_Mengemudi, 2011.
  17. Nick Russell, W. M. P van der Aalst, H. M. ter Hofstede Arthur, and Edmond David, "Workflow Resource Patterns," Eindhoven University of Technology, Eindhoven, BETA Working Paper Series 2004.