scholarly journals Integrating the Mechanical Domain into Seed Approach

Author(s):  
Fabian Dworschak ◽  
Patricia Kügler ◽  
Benjamin Schleich ◽  
Sandro Wartzack

AbstractData-driven technologies have found their way into all areas of engineering. In product development they can accelerate the customization to individualized requirements. Therefore, they need a database that exceeds common product data management systems. The creation of this database proves to be challenging because in addition to explicit standards and regulations the product design contains implicit knowledge of product developers. Hence, this paper presents an approach for the semantic integration of the engineering design (SeED). The goal is an automated design of an ontology, which represents the product design in detail.SeED fulfils two tasks. First, the ontology provides a machine-processable representation of the products design, which enables all kind of data-driven technologies. Among other representations, the ontology contains formal logics and semantics. Accordingly, it is a more comprehensible solution for product developers and knowledge engineers. Second, the detailed representation enables discovering of intrinsic knowledge, e.g. design patterns in product generations. Consequently, SeED is a novel approach for efficient semantic integration of the product design.

Author(s):  
Peter Pikosz ◽  
Johan Malmqvist

Abstract This paper analyses the engineering change management (EC) process in three engineering companies in Sweden. In the paper, the influence of various company specific factors, such as change leadtime, on the design of the EC process are analysed. The current use of computer support is surveyed and the possibility to apply a modern product data management (PDM) system to support the process is analysed. The paper also presents different strategies for improving the engineering change management process as well as of the product data management systems in order to achieve an optimal process.


Author(s):  
Rahul Sharan Renu

Abstract This research proposes a framework for automating Maynard Operation Sequence Technique (MOST) studies. This is done by using data available in assembly work instructions, plant layouts and Product Data Management systems. Specifically, an investigation into the information flow requirements for the automated system is performed. One aspect of the information flow is investigated — mapping assembly work instruction to MOST activities and sequence models. A software is developed from the mapping, which acts as a demonstrator to show the usefulness of decision support during MOST analyses. The demonstrated efficacy warrants future efforts towards implementing the remaining facets of the information flow identified.


2011 ◽  
Vol 25 (6) ◽  
pp. 430-441 ◽  
Author(s):  
Markus Schorr ◽  
André Borrmann ◽  
Mathias Obergriesser ◽  
Yang Ji ◽  
Willibald Günthner ◽  
...  

2014 ◽  
Vol 1025-1026 ◽  
pp. 1134-1140
Author(s):  
Merja Huhtala ◽  
Mika Lohtander ◽  
Juha Varis

Engineering change management (ECM) affect to cost that are generated during the designing and manufacturing process. ECM also affects to the time how fast the product is on market. The changes have to be made quickly and the notifications of the changes have to reach the person who may need the information. Product Data Management (PDM) is the system which is not only storage place for the data; it is a tool which should make ECs faster and more effective. This paper deals with the techniques that are in use to handle the ECs with the help of PDM system.


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