On OLAP Data Model Driven Approach to Process Statistical Tables

Author(s):  
Wo-Shun Luk ◽  
P. Leung
Author(s):  
V Borja ◽  
R Bell ◽  
J A Harding

The data model driven approach argues that computer aided engineering systems should be based on information data models in order to properly support the concurrent design of products. These models are the foundation for database representations of products and factories, and enable information sharing across unlinked software applications that address different stages of the product life cycle. This paper presents a product data model capable of capturing product life cycle information, and in particular its utilization for representing manufacturing information is described. A manufacturing data model that depicts the capabilities of manufacturing cells in terms of their processes and resources is also introduced. The potential benefits of using these data models to support design for manufacture are shown through a case study. The case study includes implementation of the models, their utilization representing a product and three manufacturing facilities, and demonstrates their value in the redesign of a component.


IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 178153-178166
Author(s):  
Aihua Zhu ◽  
Si Yang ◽  
Qiang Li ◽  
Jianwei Yang ◽  
Caozheng Fu ◽  
...  

Author(s):  
Christoph Rieger ◽  
Daniel Lucrédio ◽  
Renata Pontin M. Fortes ◽  
Herbert Kuchen ◽  
Felipe Dias ◽  
...  

2021 ◽  
Vol 11 (6) ◽  
pp. 2554
Author(s):  
Yoel Arroyo ◽  
Ana I. Molina ◽  
Miguel A. Redondo ◽  
Jesús Gallardo

This paper introduces Learn-CIAM, a new model-based methodological approach for the design of flows and for the semi-automatic generation of tools in order to support collaborative learning tasks. The main objective of this work is to help professors by establishing a series of steps for the specification of their learning courses and the obtaining of collaborative tools to support certain learning activities (in particular, for in-group editing, searching and modeling). This paper presents a complete methodological framework, how it is supported conceptually and technologically, and an application example. So to guarantee the validity of the proposal, we also present some validation processes with potential designers and users from different profiles such as Education and Computer Science. The results seem to demonstrate a positive reception and acceptance, concluding that its application would facilitate the design of learning courses and the generation of collaborative learning tools for professionals of both profiles.


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