Conceptual Design of an Aircraft Final Assembly Line: A Case Study

2012 ◽  
Vol 502 ◽  
pp. 49-54 ◽  
Author(s):  
F. Mas ◽  
J. Ríos ◽  
J.L. Menéndez

During the conceptual design phase of a Final Assembly Line (FAL), the design solutions that will meet the functional and industrial requirements are defined, i.e.: the basic requirements of industrialization. During this phase, several alternatives are studied, and the most attractive in terms of performance and cost requirements is selected. As a result of the study of these alternatives, it is possible to define an early conceptual design of the assembly line and its basic parameters. The plant needs, long cycle jigs & tools or industrial means and human resources with the necessary skills can be determined in advance. This communication presents a case study focus on the FAL of the AIRBUS A400M.

Author(s):  
Michael Gerges ◽  
Mohammad Mayouf ◽  
Paul Watson ◽  
Godfaurd Johns ◽  
Ehab Kamel Ahmed ◽  
...  

2016 ◽  
Vol 15 (01) ◽  
pp. 1650002
Author(s):  
Zohreh Pourzolfaghar ◽  
Rahinah Ibrahim ◽  
Nor Mariah Adam

Construction projects usually encompass numerous disciplines, requiring the integration of knowledge from civil, mechanical, electrical and other engineering domains. Some researchers contend that the integration of construction knowledge and experience at the early design phase would improve the overall project performance. Domination of tacit knowledge during design phase of building projects is the major source of knowledge flow problems between involved professionals. Therefore, this study intends to explicate the required mechanical and electrical knowledge which has to be considered during the conceptual design phase of a green building project. To fulfil this goal, a case study has been conducted to specify the entity of the required mechanical and electrical knowledge. The primary method for the data collection here is observation. Furthermore, this study employs the triangulation method in order to validate the collected data. The results contain the required mechanical and electrical knowledge which has to be considered during the conceptual design phase of a green building project.


Author(s):  
Daniel Krus ◽  
Katie Grantham Lough

When designing a product, the earlier the potential risks can be identified, the more costs can be saved, as it is easier to modify a design in its early stages. Several methods exist to analyze the risk in a system, but all require a mature design. However, by applying the concept of “common interfaces” to a functional model and utilizing a historical knowledge base, it is possible to analyze chains of failures during the conceptual phase of product design. This paper presents a method based on these “common interfaces” to be used in conjunction with other methods such as Risk in Early Design in order to allow a more complete risk analysis during the conceptual design phase. Finally, application of this method is demonstrated in a design setting by applying it to a thermal control subsystem.


2017 ◽  
Vol 107 (09) ◽  
pp. 640-646
Author(s):  
J. Jaensch ◽  
A. Neyrinck ◽  
A. Lechler ◽  
A. Prof. Verl

Maschinen und besonders Anlagen werden meist in individuellen Prozessen entwickelt. Bereits in der Angebots- und Konzeptionsphase werden im direkten Austausch mit dem Auftraggeber unterschiedliche Varianten diskutiert und iteriert. Zur Bewertung der Varianten sind neben den Anschaffungskosten unter anderem laufzeitabhängige Größen wie Taktzeiten und Energieeffizienz zu untersuchen. Der Beitrag stellt einen Ansatz zur simulationsbasierten Untersuchung für die automatisierte Variantengenerierung von Anlagen vor.   The development of machines or plants is a very individual process. Within the conceptual design phase, many different variants have to be discussed with customers and adapted to their needs. For a decent evaluation of the different variants, many parameters beyond static values such as costs are important. Term-dependent values like cycle times and energy efficiency also have to be investigated. This paper presents a method for the automated generation of plant variants based on simulation.


2018 ◽  
Vol 29 (11) ◽  
pp. 665-689
Author(s):  
C. Hartmann ◽  
R. Chenouard ◽  
E. Mermoz ◽  
A. Bernard

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