지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems 제11권 제3호
- 발행연도
- 2012.9
- 수록면
- 233 - 240 (8page)
이용수
초록· 키워드
오류제보하기
The implementation of business process management (BPM) systems in large number of business organizations transforms BPM system into such a level of maturity and tends to collect large repositories of business process (BP) models. This issue encourages BP flexibility that leads to a large number of process variants derived from the same model, but differing in structure, to be stored in the large repositories of BP models. Therefore, the repositories may include thousands of activities and related business objects with variation of requirements and quality of service. It is a common practice to customize processes from reference processes or templates in order to reduce the time and effort required to design and deploy processes on all levels. In order to address redundancy and underutilization problems, a generic process model, called as reference BP, is absolutely necessary to cover the best of process variants. This study aims to develop multiple-objective business process genetic algorithm (MOBPGA) to find a set of non-dominated (Pareto) solutions of business reference model to enhance conventional approach which considered only a single objective on creating BP reference model by using proximity score measurement. A mixed-integer linear program is constructed to evaluate performance of the proposed MOBPGA on small-scale problems by using standard measures for multiple-objective techniques. The results will show the viability of applying MOBPGA in terms of simultaneously maximizing proximity score measurement, minimizing total duration, and total costs of the selected reference model.
목차
1. INTRODUCTION
2. LITERATURE REVIEW
3. PROPOSED APPROACH
4. EXPERIMENT RESULTS
5. CONCLUSION
ACKNOWLEDGMENTS
REFERENCES
참고문헌 (22)
참고문헌 신청
1. [학술지(정기간행물)] - Abboud, N. / 1998 / Manpower allocation using genetic annealing / European Journal of Operational Research 111 (2) : 405 ~ 420
2. [학술지(정기간행물)] - Deb, K. / 2002 / A fast and elitist multiobjective genetic algorithm: NSGA-II / IEEE Transactions on Evolutionary Computation 6 (2) : 182 ~ 197
3. [단행본] - Goldberg, D. E. / 1989 / Genetic Algorithms in Search, Optimization, and Machine Learning / Addison-Wesley
4. [단행본] - Gen, M. / 2000 / Genetic Algorithms and Engineering Optimization / John Wiley and Sons
5. [단행본] - Robert Ian McKay / 2009 / Intelligent and Evolutionary Systems / Springer
2. [학술지(정기간행물)] - Deb, K. / 2002 / A fast and elitist multiobjective genetic algorithm: NSGA-II / IEEE Transactions on Evolutionary Computation 6 (2) : 182 ~ 197
3. [단행본] - Goldberg, D. E. / 1989 / Genetic Algorithms in Search, Optimization, and Machine Learning / Addison-Wesley
4. [단행본] - Gen, M. / 2000 / Genetic Algorithms and Engineering Optimization / John Wiley and Sons
5. [단행본] - Robert Ian McKay / 2009 / Intelligent and Evolutionary Systems / Springer
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