MARC View

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008			171004t2017 my a f abm 000 0 eng d
020			_aTHE0005293(Local)
039		9	_a201905151031 _bhanafiah _y201710041504 _znazri
040			_aUMP
090			_aFKP .A354 2017 r Thesis
100	1		_aAikhuele, Daniel Osezua
245	1	0	_aHybrid-fuzzy techniques with flexibility and attitudinal parameters for supporting early product design and reliability management / _cDaniel Osezua Aikhuele
260			_aKuantan, Pahang : _bUMP, _c2017
300			_axiv, 191 p. : _bill. (some col.) ; _c30 cm. + _e1 CD-ROM
500			_aFaculty of Manufacturing Engineering
502			_aThesis (Doctor of Philosophy in Manufacturing Engineering) -- Universiti Malaysia Pahang – 2017
504			_aBibliography : p. 131-145
520	3		_aThe main aim of the research work presented in this thesis is to define and develop novel Hybrid Fuzzy-based techniques for supporting aspects of product development engineering, specifically product reliability at the early phase of product design under the design for reliability philosophy and concept designs assessment problems when the required information is rough and incomplete. Thus, to achieve the above-stated aim, which has been formulated in the effort to filling the identified gaps in the literature which comprise of the need for a holistic, flexible and adjustable method to facilitate and support product design concept assessment and product reliability at the early product design phase. The need for the incorporation of the attitudinal character of the DMs into the product reliability and design concept assessment and finally, the need to account for the several interrelated complex attributes in the product reliability and design concept assessment process. A combination of research methods has been employed which includes an extensive literature review, multiple case study approach, and personal interview of experts, through which data were, collected that provided information for the real-life case study. With the new Hybrid Fuzzy-based techniques (i.e. the intuitionistic fuzzy TOPSIS model which is based on an exponential-related function (IF-TOPSISEF) and the Multi-attribute group decision-making (MAGDM) method which is based on a generalized triangular intuitionistic fuzzy geometric averaging (GTIFGA) operator), a more robust method for the product reliability and design concepts assessment respectively have been achieved as displayed in the comparative analysis in the thesis. The new methods have provided a more complete and a holistic view of the assessment process, by looking at the product reliability and design concept assessment from different scenario depending on the interest of the DMs. Using the above methods, the thesis has been able to evaluated some complex mechanical systems in literature and in real-life including Crawler Crane Machine and Forklift Truck for design change with the purpose of gaining appropriate reliability knowledge and information needed at the early product design phase, and that can subsequently aid and improve the product design concepts after all such useful information have been added into the new design. With the application of the new methods, and their proven feasibility and rationality as displayed in the assessment results of the complex mechanical systems in literature and that of the real-life case studies, this thesis, therefore, can conclude that the Hybrid Fuzzy-based techniques proposed, has provided a better and a novel alternative to existing product reliability and design concepts assessment methods.
610	2	0	_aFaculty of Manufacturing Engineering _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
999			_aVIRTUA40 _c7356 _d7362
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