Application of multi dimensional diagnosis system or P diagram in building design

Current building design is heavily influenced by design of experiment approach where the analysis is based on computation of factor by factor for evaluation of variability in product characteristics. The outcome of the analysis is not focused on performance during operation. A method such as Robust...

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Bibliographic Details
Main Authors: Ismail, Neza, Mohamad, Mohamad Ibrahim
Format: Conference or Workshop Item
Language:English
Published: 2015
Subjects:
Online Access:http://eprints.utm.my/id/eprint/62135/1/MohamadIbrahimMohamad2015_ApplicationofMultidimensionalDiagnosisSystem.pdf
http://eprints.utm.my/id/eprint/62135/
http://mot.yamaguchi-u.ac.jp/MJJIC2015/
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Institution: Universiti Teknologi Malaysia
Language: English
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Summary:Current building design is heavily influenced by design of experiment approach where the analysis is based on computation of factor by factor for evaluation of variability in product characteristics. The outcome of the analysis is not focused on performance during operation. A method such as Robust Engineering (RE) approach in manufacturing has been shown to improve the product’s engineered quality and performance. The RE approach focuses on the interaction of control and uncontrolled factors using a multidimensional diagnosis system. It focuses on stabilizing product characteristics for better performance during operation. The aim of this research is to assess the potential of applying the multidimensional diagnosis system in building design. The luminaires design was selected as an example in this study. The control and uncontrolled factors are developed based on brainstorming sessions with experts. The analysis uses the orthogonal array to execute a balanced design. This paper proposed an approach that is more efficient using energy thinking and interaction of control and un-control factors of luminaires design. The main advantage using this approach compared to the conventioanal approach is that it utilises the technical information to optimize the design. It produces a robust design that is less sensitive to variation during operation.