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Towards a Formal Specification Framework for Manufacturing Execution Systems

delete2012-05-01
delete56
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OA
AI
M
Maria Witsch *
B
Birgit Vogel‐Heuser
DOI:10.1109/TII.2012.2186585delete
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摘要

摘要

En 中文
Manufacturing Execution Systems (MES) optimize production and business processes at the same time. However, the engineering and specification of MES is a challenging, interdisciplinary process. Especially IT and production experts with different views and background have to cooperate. For successful and efficient MES software projects, misunderstandings in the specification process have to be avoided. Therefore, textual specifications need to be complemented by unambiguous graphical models, reducing the complexity by integrating interdisciplinary views and domain specific terms based on different background knowledge. Today's modeling notations focus on the detailed modeling of a certain domain specific problem area. They do not support interdisciplinary discussion adequately. To bridge this gap a novel MES Modeling Language (MES-ML) integrating all necessary views important for MES and pointing out their interdependencies has been developed. Due to its formal basis, comparable and consistent MES-models can be created for specification, standardization, testing, and documentation of MES software. In this paper, the authors present the formal basis of the modeling language and its core notation. The application of MES-ML is demonstrated taking a yogurt production as an example. Finally, the authors give some evaluation results that underline the effectiveness and efficiency of this new modeling approach with reference to four applications in industrial MES-projects in the domain of discrete and hybrid manufacturing.
Keyword:
Business process model and notation (BPMN)
formal definition
graphical modeling notation
manufacturing execution systems (MES)

期刊

IEEE Transactions on Industrial Informatics 封面图
IEEE Transactions on Industrial Informatics
IF:
9.9
论文数:
8.6K
被引数:
6.0W

机构

T
Technical University of Munich
学者数:
5.2W
论文数: 3.9W
被引数: 6.2W
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