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Robust Design of Mixing Static and Dynamic Multiple Quality Characteristics

Ful-Chiang Wu
2015 World Journal of Engineering and Technology  
The objective of robust design is to minimize the total quality loss in products or processes.  ...  Taguchi's robust design is the most powerful method available for reducing product cost, improving quality, and simultaneously reducing development time.  ...  However, few studies have been concerned with optimizing the robust design involving static and dynamic quality characteristics.  ... 
doi:10.4236/wjet.2015.33c011 fatcat:kj4dmqbyibcthibfzikrfatlgq

Trade-off in robustness, cost and performance by a multi-objective robust production optimization method

Amir Parnianifard, A.S. Azfanizam, M.K.A. Ariffin, M.I.S. Ismail
2019 International Journal of Industrial Engineering Computations  
The target mean ratio is applied to ensure the quality of the process by providing the robustness for all types of quality characteristics and with a trade-off between variability and deviance from the  ...  Designing a production process normally is involved with some important constraints such as uncertainty, trade-off between production costs and quality, customer's expectations and production tolerances  ...  Robust optimization for multiple responses using response surface methodology. Applied Stochastic Models in Business and Industry, 26, 157-171. Hwang, C. L., & Masud, A. S. M. (2012)  ... 
doi:10.5267/j.ijiec.2018.2.001 fatcat:erehyoo7zfhuhessifs7ozgfo4

Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design

Chun-Chih Chen, Ming-Chuen Chuang
2008 International Journal of Production Economics  
The robust design approach combines grey relational analysis with the Taguchi method to optimize subjective quality with multiple-criteria characteristics.  ...  This can effectively enhance customer satisfaction and aesthetic product qualities with multiple-criteria characteristics.  ...  The proposed robust design method integrated with the Kano model may be used as a universal method to simultaneously enhance customer satisfaction and product quality despite multiple-criteria characteristics  ... 
doi:10.1016/j.ijpe.2008.02.015 fatcat:ikcxle5ijncbxhqab4zo2hnzgy

Robust parameter design of micro-injection molded gears using a LIGA-like fabricated mold insert

Ming-Shyan Huang, Chen-Jung Li, Jyh-Cheng Yu, Yung-Ming Huang, Li-Chung Hsieh
2009 Journal of Materials Processing Technology  
The robust optimization of multiple objectives is introduced to identify robust parameter settings with high dimensional accuracy and high yield rates for molded gears despite process parameter deviations  ...  This study has two goals: (1) fabrication of high-precision mold inserts using UV-LIGA; and, (2) identification of robust parameters that ensure production quality.  ...  In summary, the proposed robust parameter design method can effectively solve problems with multiple quality characteristics and, thus, significantly improves the stability of the micro-injection molding  ... 
doi:10.1016/j.jmatprotec.2009.05.032 fatcat:6swu52vs6jgjjcnmxvjq52hkha

Application of Fuzzy-Based Hybrid Taguchi Method for Multiobjective Optimization of Product Form Design

Yongfeng Li, Meng-Dar Shieh, Chih-Chieh Yang, Liping Zhu
2018 Mathematical Problems in Engineering  
The results indicate that this approach can effectively improve consumers' affective response qualities and can be used as a robust design approach to optimize product form design.  ...  To design a product form that can appeal to consumers, designers should consider multiple affective responses (MARs).  ...  Thus, VIKOR has been used to integrate multiple quality characteristics into one quality characteristic.  ... 
doi:10.1155/2018/9091514 fatcat:5qec6tjwlncfxigw7zy4467moa

Tolerance Optimization Design Based on the Manufacturing-costs of Assembly Quality

Yi Zong, Jian Mao
2015 Procedia CIRP  
Example results show that the product of multiple correlation characteristics of manufacturing cost and quality loss of tolerance optimization design model has certain validity, and compared with the traditional  ...  Depending on the relationship between the manufacturing costs and tolerance, the tolerance optimization design method under the multiple correlation characteristic products is put forward, deducing the  ...  In this work, the tolerance optimization design method under the multiple correlation characteristic products is proposed based on multiple correlation characteristic of tolerance optimization design method  ... 
doi:10.1016/j.procir.2015.04.087 fatcat:2i4eo5lcrfgono6qwds4en32c4

Robust Parameter Design for Cyclone System Based on Dual-Response Surface Method and Multiobjective Genetic Algorithm

Fusheng Luo, Xianhui Yin, Zhanwen Niu, Baiyuan Ding
2022 Computational Intelligence and Neuroscience  
By selecting the controllable factors and noise factors affecting the output and determining their respective value levels, the product table method is used to design the robust parameter design test,  ...  To realize the predictive control of coal preparation quality and ensure that the quality of washing products is close to the minimum coal quality requirement of coal blending to the greatest extent is  ...  of multiple dimensions and multiple quality characteristics.  ... 
doi:10.1155/2022/5884868 pmid:35761868 pmcid:PMC9233615 fatcat:otjxb7fxdbaglpn5vf6cnrph6e

Development of an experiment-based robust design paradigm for multiple quality characteristics using physical programming

Jami Kovach, Byung Rae Cho, Jiju Antony
2006 The International Journal of Advanced Manufacturing Technology  
Specifically, flexibility is needed in order to consider multiple quality characteristics simultaneously, just as customers do when judging products, and to capture design preferences with a reasonable  ...  The well-known quality improvement methodology, robust design, is a powerful and cost-effective technique for building quality into the design of products and processes.  ...  multiple quality characteristics.  ... 
doi:10.1007/s00170-006-0792-z fatcat:7ex6yc4mifelxe7uuf7qprkk4q

The variation management framework (VMF): A unifying graphical representation of robust design

T. J. Howard, T. Eifler, S. N. Pedersen, S. M. Göhler, S. M. Boorla, M. E. Christensen
2017 Quality Engineering  
Acknowledgements The authors would like to acknowledge Novo Nordisk for the research funding under the DTU-Novo Nordisk Robust Design Programme.  ...  In axiomatic design terms, issues arise when multiple Design Parameters are interacting with Multiple Functional Requirements in a coupled manner.  ...  Multiple parameter optimisation for robustness can sometime overcome this issue where the values of several parameters can be adjusted to give the same nominal performance but with greater overall robustness  ... 
doi:10.1080/08982112.2016.1272121 fatcat:7y2zpxftqjeanlk3ekbb6lngji

Applying surrogate variables to deal with destructive characteristics for robustification using Six Sigma methodology

Mohammad Amin Javadi, Sadigh Raissi
2015 Manufacturing and Industrial Engineering  
Multiple quality characteristics are contemplated simultaneously in different industries such as pharmaceutical, food sections or productions for improving both product reliability and customer satisfaction  ...  Actually, due to the nature of the destructive characteristics of products and processes they might not be able to cope with the issue.  ...  Li, Cui, Ruan and Zhang [16] demonstrated a CAE-based Six Sigma robust design procedure with the purpose to eliminate the effects of uncertainties in design in order to improve quality.  ... 
doi:10.12776/mie.v14i3-4.454 fatcat:v5vny24ncjgkxmuelso5lvyfdy

Development of a variance prioritized multiresponse robust design framework for quality improvement

Jami Kovach, Byung Rae Cho, Jiju Antony
2009 International Journal of Quality & Reliability Management  
Originality/value -This paper is perhaps the first study on the prioritized response robust design with the consideration of multiple quality characteristics.  ...  Abstract Purpose -Robust design is a well-known quality improvement method that focuses on building quality into the design of products and services.  ...  The robust design (RD) methodology, first developed by Taguchi (1986 Taguchi ( , 1987 , is important to industrial quality improvement initiatives.  ... 
doi:10.1108/02656710910950360 fatcat:6j5guzcwcjbz3nbu3skqvqeqmq

SIMULTANEOUS DEFINITION OF KEY CHARACTERISTICS IN ORDER TO FACILITATE ROBUST DESIGN IN EARLY PRODUCT DEVELOPMENT STAGES

Stefan Goetz, Dennis Horber, Benjamin Schleich, Sandro Wartzack
2021 Proceedings of the Design Society  
In the context of tolerancing and robust design, Key Characteristics (KCs) have been established for this purpose and form the basis for all downstream activities.  ...  This leads to a clear definition of the requirements and KCs and thus creates a founded basis for robustness evaluation at the beginning of the concept design stage.  ...  evaluation in product development [MuBePro] -Computer-supported evaluation process of solution variants with regard to all requirements from the product life cycle' under the grant numbers SCHL 2233/1  ... 
doi:10.1017/pds.2021.530 fatcat:jy2nfg25jffithiasvolh7ydza

Robust Optimization of Dynamic Characteristics of Mechanical Structure Combined with Multivariable Predictive Compensation

Li Zhang, Hye-jin Kim
2022 Mobile Information Systems  
The actual pose of the end effector of the manipulator is detected by the NDI three-dimensional dynamic displacement measurement system, and the correction value is applied to the control of the designed  ...  is the sensitivity deviation of the output response. e robust design of products with dynamic characteristics requires to guarantee minimizing the quality output fluctuation of the product, and then the  ...  sensitivity of the quality output reaches the ideal sensitivity through the adjustment factor. e functional optimization model for the robust design of products with dynamic characteristics is as follows  ... 
doi:10.1155/2022/9221522 fatcat:vonfaqunkrfgzgb634amdrhxy4

Engineering problems in machine learning systems [article]

Hiroshi Kuwajima, Hirotoshi Yasuoka, Toshihiro Nakae
2019 arXiv   pre-print
We also perform a gap analysis on a conventional system quality standard SQuARE with the characteristics of machine learning models to study quality models for machine learning systems.  ...  We find that a lack of requirements specification and lack of robustness have the greatest impact on conventional quality models.  ...  Each quality characteristic of Data quality, or each quality sub-characteristic of Product quality and Quality in use, has multiple QMs that define how to quantify the quality.  ... 
arXiv:1904.00001v2 fatcat:tpip4cek6zgldetgtoipiv5plm

Quality Improvement and Robust Design Methods to a Pharmaceutical Research and Development

Byung Rae Cho, Sangmun Shin
2012 Mathematical Problems in Engineering  
Researchers often identify robust design, based on the concept of building quality into products or processes, as one of the most important systems engineering design concepts for quality improvement and  ...  Traditional robust design principles have often been applied to situations in which the quality characteristics of interest are typically time-insensitive.  ...  When multiple quality characteristics are considered, those characteristics are often correlated.  ... 
doi:10.1155/2012/193246 fatcat:scjbxi4n45gdxdouszfhvf2n34
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