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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.3
- 수록면
- 103 - 113 (11page)
- DOI
- 10.7315/CDE.2019.103
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초록· 키워드
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The manufacturing system innovation led by the 4th industrial revolution attracts significant attention in novel researches. Manufacturing processes must be continually reviewed and optimized to effectively innovate manufacturing systems. It is necessary to clearly visualize and define manufacturing processes in order to improve the existing manufacturing system, or to construct the CPS (Cyber Physical Systems) with ICT (Information and Communications Technology). The existing modeling languages have powerful expressiveness for information on business processes, but there are certain limitations to describe the manufacturing characteristics in details. Therefore, the purpose of this study is to develop and implement a novel manufacturing process-oriented modeling methodology, referred to as Part-flow based Manufacturing Process Modeling (PMPM). Analytical techniques and applicability of the proposed model are discussed. A verification method on structural and behavioral safety of the model is proposed. Furthermore, the verification method is applied to the proposed model to evaluate the structure and behavioral safety of the process. Hence, the proposed modeling methodology is able to find the problems of the manufacturing process by analyzing the process model.
목차
ABSTRACT
1. 서론
2. 관련 연구
3. PMPM: Part-flow based Manufacturing Process Modeling
4. PMPM 기반 공정 분석 방법론
5. 결론
References
참고문헌 (22)
참고문헌 신청
Johnson, H. and Filippini, R., 2009, Internal vs. External Collaboration: What Works, Research- Technology Management, 52(3), pp.15-17.
Georgakopoulos, D., Hornick, M. and Sheth, A., 1995, An Overview of Workflow Management: From Process Modeling to Workflow Automation Infrastructure, Distributed and Parallel Databases, 3(2), pp.119-153.
Liao, T. and Chen, L., 1998, Manufacturing Process Modeling and Optimization Based on Multi-layer Perceptron Network, Transactions of the ASME-B-Journal of Manufacturing Science and Engineering, 120(1), pp.109-119.
Emmerich, W. and Gruhn, V., 1991, FUNSOFT Nets: a Petri-net Based Software Process Modeling Language, In Proceedings of the 6th International Workshop on Software Specification and Design, IEEE Computer Society Press, pp.175-184.
Lee, H., Ryu, K., Son, Y. and Cho, Y., 2014, Capturing Green Information and Mapping with MES Functions for Increasing Manufacturing Sustainability, International Journal of Precision Engineering and Manufacturing, 15(8), pp.1709- 1716.
Georgakopoulos, D., Hornick, M. and Sheth, A., 1995, An Overview of Workflow Management: From Process Modeling to Workflow Automation Infrastructure, Distributed and Parallel Databases, 3(2), pp.119-153.
Liao, T. and Chen, L., 1998, Manufacturing Process Modeling and Optimization Based on Multi-layer Perceptron Network, Transactions of the ASME-B-Journal of Manufacturing Science and Engineering, 120(1), pp.109-119.
Emmerich, W. and Gruhn, V., 1991, FUNSOFT Nets: a Petri-net Based Software Process Modeling Language, In Proceedings of the 6th International Workshop on Software Specification and Design, IEEE Computer Society Press, pp.175-184.
Lee, H., Ryu, K., Son, Y. and Cho, Y., 2014, Capturing Green Information and Mapping with MES Functions for Increasing Manufacturing Sustainability, International Journal of Precision Engineering and Manufacturing, 15(8), pp.1709- 1716.
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UCI(KEPA) : I410-ECN-0101-2019-530-000497463