산업공학 (IE interfaces)

  • 제22권1호
  • /
  • Pages.26-37
  • /
  • 2009
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  • 1225-0996(pISSN)
  • /
  • 2234-6465(eISSN)
대한산업공학회 (Korean Institute of Industrial Engineers)
권호 표지

BSC와 Fuzzy AHP를 활용한 웹 기반의 BPM 대상 프로세스 선정에 관한 연구

Study on aWeb-based Business Process Evaluation Model for BPM using BSC and Fuzzy AHP

  • 이승신 (울산대학교 산업경영공학부) ;
  • 조지운 (울산대학교 산업경영공학부)
  • Lee, Seung-Sin (Department of Industrial Engineering, University of Ulsan) ;
  • Cho, Chi-Woon (Department of Industrial Engineering, University of Ulsan)
  • 투고 : 2009.01.13
  • 심사 : 2009.01.22
  • 발행 : 2009.03.01
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초록

BPM(Business Process Management) secures the agility of an enterprise through automation, integration, and optimization of business process. For the successful BPM introduction, the evaluation and selection of suitable processes for BPM are very important. But as to process evaluation and selection standards, in fact, various selection elements exist and they have to be considered. Therefore, it is very difficult to evaluate systematically and reasonably business processes for enterprises or concerned persons that plan to introduce BPM. This paper describes a Web-based business process evaluation model for BPM using BSC(Balanced Scorecard) and fuzzy AHP(Analytic Hierarchy Process). A Web-based business process evaluation system was implemented based on this and it provides many useful business process evaluation results to enterprises or concerned persons that have insufficient experience and knowledge about BPM, and initially plan to implement BPMS(Business Process Management System). Thus, this paper demonstrates the applicability of fuzzy AHP concept in business process evaluation and selection for BPM, and provides a systemic guidance in the decision-making process.

키워드

참고문헌

  1. Bozdah, C. E.etal. (2003), Fuzzy group decisionmaking for selection among computer integrated manufacturing system,Computers in Industry, 51, 13-29 https://doi.org/10.1016/S0166-3615(03)00029-0
  2. Butler, A. et al. (1997), Linking the balanced scorecard to statege, Long range planning
  3. Chang, D. Y. et al. (1996), Applications of the extent analysis on fuzzy AHP, European journal of operational research, 95, 649-655 https://doi.org/10.1016/0377-2217(95)00300-2
  4. Chen, S. M. (1996), Evaluating weapon systems using fuzzy arithmetic operations, Fuzzy sets and systems, 77, 265-276 https://doi.org/10.1016/0165-0114(95)00096-8
  5. Cheng, C. H. et al. (1994), Evaluating weapon system by analytical hierarchy process based on fuzzy scales, Fuzzy sets and systems, 63, 1-10 https://doi.org/10.1016/0165-0114(94)90140-6
  6. Cheng, C. H. (1999), Evaluating weapon systems using ranking fuzzy numbers, Fuzzy sets and systems, 107, 25-35 https://doi.org/10.1016/S0165-0114(97)00348-5
  7. Choi, J. H. et al. (2006), A Case Study on the Process Selection and Implementation of Business Process Management in Mobile Telecommunications Company, Information SystemsReview, 8(1), 25-41
  8. Kaplan R. S. and Norton, D. P. (1992), The Balanced ScorecardMeasures ThatDrive Performance,HavardBusinessReview.
  9. Kaplan R. S. andNorton,D. P. (1993), Putting the Balanced Scorecard to work, HavardBusinessReview
  10. KaplanR. S. andNorton,D. P. (1996),Using the balanced scorecard as a strategicmanagement system,HavardBusinessReview
  11. Kim, S. H. et al. (1994), Dynamic Reengineering : The Practical Strategy of Management Innovation, TheKorea EconomicDaily, 91-111.
  12. Lee, S. C. et al. (2005), Study on the Solution Selection Model of Information Systems Using Fuzzy AHP, Entrue Journal of Information Technology, 4(1), 79-89
  13. Letza, S. R. (1996), The design and implementation of the balanced business scorecard : An analysis of three companies in practice, Business process re-engineering and management journal
  14. Martinsons,M.etal. (1999), The balanced scorecard : a foundation for the strategic management of information systems,Decision support systems
  15. Mon,D. L.etal. (1994), Evaluatingweapon systemusing fuzzy analytic hierarchy process based on entropy weight, Fuzzy sets and systems, 62, 127-134 https://doi.org/10.1016/0165-0114(94)90052-3
  16. Park, D. J. (1995), A Study on theDetermination of Process Selection Factors in Business Reengineering,The J. of Southern Seoul University, 1, 233-248
  17. Sinur J. (2003), The Business ProcessManagement Scenario,Gartner
  18. Smith, H. et al. (2003), Business Process Management : The Third Wave, Meghan-Kiffer Press, Florida, USA
  19. Smith, R. F. (2007), Business ProcessManagement and the Balanced Scorecard, John and Sons, Inc
  20. Verner, L. (2004), BPM : The Promise and the Challenge, QUEUE(www.acmqueue.com)
  21. Weck, M. et al. (1997), Evaluating alternative production cycles using the extended fuzzy AHP method, European jounal of operational research, 100, 351-365 https://doi.org/10.1016/S0377-2217(96)00295-0