Gear concept selection procedure using fuzzy QFD, AHP and tacit knowledge

被引:5
|
作者
Maputi, Edmund S. [1 ]
Arora, Rajesh [2 ]
机构
[1] Harare Inst Technol, Dept Ind & Mfg Engn, Harare, Zimbabwe
[2] Amity Univ Haryana, Amity Sch Engn & Technol, Dept Mech Engn, Gurgaon 122413, India
来源
COGENT ENGINEERING | 2020年 / 7卷 / 01期
关键词
tacit knowledge; engineering optimization; gear; decision-making; fuzzy; 2-STAGE THERMOELECTRIC GENERATOR; ENGINEERING DESIGN; SPUR GEAR; MULTIOBJECTIVE OPTIMIZATION; ELECTRICALLY SERIES; CHALLENGES;
D O I
10.1080/23311916.2020.1802816
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The modelling and optimization of gear systems is a complex procedure with results dependent on the conceptual formulation of the problem, uncertainty, bias and imprecision in weight assignment. Furthermore, tacit information is often omitted in design processes. In this study, a gear concept selection procedure considering "voice of customer" VOC and tacit statements is discussed while extending a gear selection matrix introduced by N. Marjanovic In the current research, two case studies are investigated while considering tacit knowledge. To demonstrate this concept, fuzzy logic is applied to interpret linguistic evaluations by both customer and design teams in the (QFD) Quality Function Deployment and to select alternatives using the Fuzzy-AHP method. The obtained results reflect the impact of tacit knowledge on gear selection methods.
引用
收藏
页数:31
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