Showing papers on "Taguchi methods published in 1993"
TL;DR: This paper shows how the same goals of the Taguchi philosophy can be achieved using standard non-parametric response surface methods.
Abstract: Recently, Vining and Myers presented a methodology for achieving some of the goals of the Taguchi philosophy using response surface methods and a dual response optimization approach. This paper shows how the same goals can be achieved using standard non..
292 citations
Book•
01 Jan 1993
TL;DR: Quality and productivity methods for evaluating quality parameter design methods for specifying tolerance quality management for production processes as discussed by the authors, for example, have been used to evaluate quality parameters in the context of production processes.
Abstract: Quality and productivity methods for evaluating quality parameter design methods for specifying tolerance quality management for production processes
201 citations
TL;DR: In this article, a new, easily understood loss function, based on a reflection of the normal density function, is presented, and some associated statistical properties discussed, and a new approach is proposed for assessing quality and quality improvement.
Abstract: The use of loss functions in quality assurance has grown steadily with the introduction of Taguchi's philosophy. The quadratic loss function has been used by decision-theoretic statisticians and economists for many years. Taguchi uses a modified form of the quadratic loss function to demonstrate the need to consider proximity to the target while assessing quality. Several authors have suggested that the traditional quadratic loss function is inadequate for assessing quality and quality improvement. A new, easily understood loss function, based on a reflection of the normal density function, is presented, and some associated statistical properties discussed.
120 citations
01 Jul 1993
TL;DR: In this article, the use of noise factors to represent varying conditions in the manufacturing or use environment was studied, and it was shown that using noise factors can increase power for detecting factors with dispersion effects, provided the noise factors are explicitly modeled in subsequent analysis.
Abstract: There has been great interest recently in the use of designed experiments to improve quality by reducing the variation of industrial products. A major stim- ulus has been Taguchi's robust design scheme, in which experiments are used to detect factors that affect process variation. We study here one of Taguchi's novel ideas, the use of noise factors to represent varying conditions in the manufacturing or use environment. We show that the use of noise factors can dramatically increase power for detecting factors with dispersion effects, provided the noise factors are explicitly modeled in the subsequent analysis.
56 citations
TL;DR: In this article, the authors used the Taguchi technique of experimental design in optimizing the process parameters for drilling deep-holes in nickel-based superalloy, Inconel 718.
51 citations
TL;DR: A step-by-step description of the design and execution of an experiment conduced by employees of the Athens, Alabama Public Service Agency is presented.
Abstract: An increasing number of quality control managers are using designed experiments to assist in process improvement. This paper presents a step-by-step description of the design and execution of an experiment conduced by employees of the Athens, Alabama pl..
47 citations
TL;DR: This paper develops a formal basis for the graphical data-analytic approach presented in Shoemaker et al. (1991), and decomposes overall response variation into components representing the variability contributed by each noise factor, and shows when this decomposition allows us to use individual control-by-noise interaction plots to minimize response variation.
Abstract: Taguchi's robust design technique, also known as parameter design, focuses on making product and process designs insensitive (i.e., robust) to hard to control variations. In some applications, however, his approach of modeling expected loss and the resulting “product array” experimental format leads to unnecessarily expensive and less informative experiments. The response model approach to robust design proposed by Welch, Ku, Yang, and Sacks (1990), Box and Jones (1990), Lucas (1989), and Shoemaker, Tsui and Wu (1991) offers more flexibility and economy in experiment planning and more informative modeling. This paper develops a formal basis for the graphical data-analytic approach presented in Shoemaker et al. In particular, we decompose overall response variation into components representing the variability contributed by each noise factor, and show when this decomposition allows us to use individual control-by-noise interaction plots to minimize response variation. We then generalize the control-by-nois...
44 citations
TL;DR: A novel formulation of the parametric yield as a surface integral on the boundary of the disturbance space acceptability region allows the accurate and efficient estimation of yield via a Monte Carlo method which can also produce yield gradients with minimal overhead.
Abstract: A novel formulation of the parametric yield as a surface integral on the boundary of the disturbance space acceptability region is introduced. This formulation allows the accurate and efficient estimation of yield via a Monte Carlo method which can also produce yield gradients with minimal overhead. The authors extend this formulation to a more general IC quality measure. A general IC quality optimization method, significantly more efficient than Taguchi's, is introduced. This method can handle multiple performances and perform yield maximization as a special case. The optimization method is demonstrated on several circuit examples. >
42 citations
TL;DR: In this paper, the authors discuss the Taguchi method as an approach to design optimization for quality and performance in a propulsion system design optimization study for an advanced space transportation vehicle, and show that the method is a systematic and efficient approach that can aid in designing for performance, quality, and cost.
Abstract: The authors discuss the Taguchi method as an approach to design optimization for quality. The method is briefly explained, and its application is illustrated for a propulsion system design optimization study for an advanced space transportation vehicle. The results suggest that the Taguchi method is a systematic and efficient approach that can aid in designing for performance, quality, and cost. Principal benefits include significant time and resource savings and the determination of parametric sensitivities and interactions. >
TL;DR: In this paper, an economic model under a geometric process failure mechanism is developed, and a comparison is made between methods optimal under that model and the methods of Taguchi et al. Their method for obtaining monitoring strategies is compared with the work of Gibra and Barlow, Hunter, and Proschan.
Abstract: The on-line quality-monitoring procedures for attributes presented by Taguchi, Elsayed, and Hsiang are examined. Their method for obtaining monitoring strategies is compared with the work of Gibra and Barlow, Hunter, and Proschan. An economic model under a geometric process failure mechanism is developed, and a comparison is made between methods optimal under that model and the methods of Taguchi et al. In some cases, there are important practical differences in the two approaches. KEY WORDS: Economic model; Process failure mechanism; Statistical process control.
TL;DR: In this article, a particularly effective approach for quality improvement is to investigate the factors affecting the variance of the quality response variable by using statistically designed experiments in manufacturing processes, which is an approach that has been widely used in the literature.
Abstract: Genichi Taguchi has popularized the use of statistically designed experiments in manufacturing processes A particularly effective approach for quality improvement is to investigate the factors affecting the variance of the quality response variable by
TL;DR: In this paper, the authors present the tolerance specification of robot kinematic parameters using the Taguchi method and demonstrate a planar two-link manipulator and a five-degree-of-freedom Rhino robot.
Abstract: This paper presents the tolerance specification of robot kinematic parameters using the Taguchi method. The concept of employing inner and outer orthogonal arrays to identify the significant parameters and select the optimal tolerance range for each parameter is proposed. The performance measure based on signal-to-noise ratios (S/N) using the Taguchi method is validated by Monte Carlo simulations. Finally, a step-by-step tolerance specification methodology is developed and illustrated with a planar two-link manipulator and a five-degree-of-freedom Rhino robot.
Book•
01 Sep 1993
TL;DR: In this article, the authors proposed a method for parameter reduction experiment design according to Shanin variance analysis as an aid for solving problems introduced into the design of experiment according to Taguchi robust design.
Abstract: Criteria for use of methods for design of experiments applying design of experiment methods depending on certain situations problem analysis, empiric parameter reduction experiment design according to Shanin variance analysis as an aid for solving problems introduction into the design of experiment according to Taguchi robust design simultaneous optimization of product and manufacture process parameter design according to Taguchi time series analysis Plackett-Burman or screening design response surface methodology - RSM genetic algorithms.
TL;DR: In this article, the authors present an overview of the strategy and tactics for robust design and demonstrate its usefulness for reliability improvement and propose a response-model approach in the context of reliability improvement.
Abstract: Taguchi's robust design strategy, whose aim is to make processes and products insensitive to factors which are hard or impossible to control (termed noise factors), is an important paradigm for improving products and processes. We present an overview of the strategy and tactics for robust design and demonstrate its usefulness for reliability improvement. Two important components of robust design are a criterion for assessing the effect of the noise factors and experimentation according to specialized experimental plans. Recent criticism of Taguchi's criterion and his analysis of its estimates has led to an alternative approach of modelling the response directly. We give additional reasons for using this response-model approach in the context of reliability improvement. Using the model for the response, appropriate criteria for assessing the effect of the noise factors can then be evaluated. We consider an actual experiment and reanalyse its data to illustrate these ideas and method.
TL;DR: In this paper, a large TAGUCHI-STYLE EXPERIMENT was used to evaluate GEAR and PINION data, and it was found to be useful in many applications.
Abstract: (1993). ARE LARGE TAGUCHI-STYLE EXPERIMENTS NECESSARY? A REANALYSIS OF GEAR AND PINION DATA. Quality Engineering: Vol. 6, No. 1, pp. 21-37.
01 Mar 1993
TL;DR: In this paper, an experimental study of the plasma spraying of alumina- titania powder was conducted using a Taguchi fractional-factorial design parametric study, and the results were characterized by hardness and electrical tests, image analysis, and optical metallography.
Abstract: This article presents an experimental study of the plasma spraying of alumina- titania powder. This powder system is being used to fabricate heater tubes that emulate nuclear fuel tubes for use in thermal-hydraulic testing. Coating experiments were conducted using a Taguchi fractional- factorial design parametric study. Operating parameters were varied around the typical spray parameters in a systematic design of experiments to display the range of plasma processing conditions and their effect on the resultant coating. The coatings were characterized by hardness and electrical tests, image analysis, and optical metallography. Coating qualities are discussed with respect to dielectric strength, hardness, porosity, surface roughness, deposition efficiency, and microstructure. The attributes of the coatings are correlated with the changes in operating parameters.
01 Oct 1993
TL;DR: In this article, Taguchi's signal-to-noise ratio is employed to measure quality and a compromise Decision Support Problem and Robust Design are applied to demonstrate how quality is designed into a product in the early stages of designing.
Abstract: A large amount of engineering effort is consumed in conducting experiments to obtain information needed for making design decisions Efficiency in generating such information is the key to meeting market windows, keeping development and manufacturing costs low, and having high-quality products The principal focus of this project is to develop and implement applications of Taguchi's quality engineering techniques In particular, we show how these techniques are applied to reduce the number of experiments for trajectory simulation of the LifeSat space vehicle Orthogonal arrays are used to study many parameters simultaneously with a minimum of time and resources Taguchi's signal to noise ratio is being employed to measure quality A compromise Decision Support Problem and Robust Design are applied to demonstrate how quality is designed into a product in the early stages of designing
TL;DR: In this article, the authors present a quantitative approach for robust design and data analysis, which is based on a finite-element method and is used in the analysis of a high precision turning machine.
Abstract: Part 1 Conceptual and methodological design: robust technology development, G. Taguchi some aspects of statistical quality control methods, C.R. Rao et al quality and reliability of products through proper design, N.P. Suh design and analysis of circuits and networks - the role of mathematical concepts, T.S. Arthanari. Part 2 Management through strategic considerations of design: steps for developing new products viewed from the standpoint of total quality control, Y. Wahio management of variation reduction investigations, B. Abraham and J.B. Whitney implications of fool proofing in the manufacturing process, Y. Tsuda design planning of an off-highway dump truck - a QFD approach, O. Maduri quality through design practices in spacecraft mechanisms, N.C. Bhat and A.V. Patki product design and development under constraints of a developing industry - a case study, M.A. Parameswaran. Part 3 Robust design and data analysis: stratified replications, R. Kacker variance components estimators, K. Das et al performance of beta adjustment factor in industrial design, R. Dasgupta statistical properties of hadamard matrices of order 16, X.D. Sun and C.F.J. Wu multivariate generalization of Taguchi's signal-to-noise ratio for industrial experiments, J.S Rustagi et al analyzing data from robust parameter design experiments, V.N. Niar exploratory data analysis techniques as applied to a high precision turning machine, J.J. Filiben et al. Part 4 Statistical approach and reliability: recent and future research on practical methods for accelerated testing, W.Q. Meeker and L.A. Escobar the use of reliability assessment techniques to improve the quality of engineering desing, G.A. Bohoris a general reliability algorithm for electronic components, S. Ramesh and P.A. Tobias non-intuitive availability design and evaluation for a generic p-p-p flexible manufacturing system, W. Kuo and M. Rahman computing reliability of noncoherent systems, S.J. Upadhyaya and H. Pham. Part 5 Toleracnes and discrete parts design: issues in assessing conformity of dimensions of manufactured parts to design tolerances, D.A. Swyt the language of tolerances, T.H. Hopp optimal sampling for co-ordinate measurement - its definition and algorithm, T.C. Woo and R. Liang. Part 6 Finite-element methods for design: finite-element implementation of robust design, H.L. Oh and M.B. Motwani performance analysis of multipad disc brakes using the finite-element method, D. Srinivasulu design and analysis of tilting-pad journal bearings by using the finite-element method, S.R. Jayaram and B.S. Prabhu. Part 7 Computing in design. Part 8 Materials processing and metrological design. (Part Contents)
01 Feb 1993
TL;DR: In this paper, the effects of simultaneously changing a total of eight design variables, rather than changing them one at a time as in conventional tradeoff studies, were evaluated and a combination of design variables was identified which yields very attractive vehicle dry and gross weights.
Abstract: Results are presented from the optimization process of a winged-cone configuration SSTO launch vehicle that employs a rocket-based ejector/ramjet/scramjet/rocket operational mode variable-cycle engine. The Taguchi multidisciplinary parametric-design method was used to evaluate the effects of simultaneously changing a total of eight design variables, rather than changing them one at a time as in conventional tradeoff studies. A combination of design variables was in this way identified which yields very attractive vehicle dry and gross weights.
TL;DR: A quality improvement programme in the milling industry, consisting of a series of four related experiments, resulted in a substantial improvement in quality and considerable cost savings.
Abstract: A quality improvement programme in the milling industry, consisting of a series of four related experiments, is described. Central composite designs and a classical fractional factorial design were used in conjunction with the philosophy advocated by Taguchi. The plans and results of the experiments are given and the analysis discussed. The programme resulted in a substantial improvement in quality and considerable cost savings.
TL;DR: In this paper, a multi-component gas and vapor analysis system consisting of eight nonselective and nonlinear Taguchi gas sensors, a temperature sensor, and multivariate calibration algorithms such as modified artificial neural netowrks is presented.
Abstract: This paper presents a protoytpe multicomponent gas and vapor analysis system consisting of eight nonselective and nonlinear Taguchi gas sensors, a temperature sensor, and multivariate calibration algorithms such as modified artificial neural netowrks. The application of this system to analyzing two- and three-component mixtures of benzene, toluene, acetone and trichloroethylene is demonstrated.
TL;DR: A chemical plant producing paraffin wax was faced with the problem of low recovery (35-45%) and recycling of 10-15% of its product for high oil content as discussed by the authors.
Abstract: A chemical plant producing paraffin wax was faced with the problem of low recovery (35-45%) and recycling of 10-15% of its product for high oil content. A preliminary investigation revealed that process controls were inadequate and that there was a need..
TL;DR: In this paper, the use of an experimental design for studying the impact of various factors on response rate in a direct mail application is considered. But, the authors do not consider the effect of the factors on the overall response rate.
TL;DR: A general overview of several popular statistical strategies in robust engineering design (RED) is given and how these strategies approach the statistical problems involved.
Abstract: This paper reviews the fundamental ideas involved in robust engineering design (RED), and how they relate to computer-aided design. There are several areas of RED that may be successfully resolved by the use of statistical methods or ideas. This paper gives a general overview of several popular statistical strategies in RED and discusses how these strategies approach the statistical problems involved.
TL;DR: In this article, the effect of six high-velocity oxygen fuel process (HVOF) processing variables on the measured responses was evaluated using a Taguchi L8 statistical fractional/factorial design parametric study.
Abstract: A major trend in the thermal spray industry has been to increase the gas jet velocity to obtain better coating attributes. One emerging technology now used in industry is the high-velocity oxygen fuel process (HVOF). High-velocity spray guns combine oxygen and a fuel gas to generate heat and extremely high particle velocities. In this study, Inconel 718 powder was deposited on steel substrates. The primary coating function was electrical resistivity for a heater application. Experiments were conducted using a Taguchi L8 statistical fractional/factorial design parametric study. The Taguchi experiment evaluated the effect of six HVOF processing variables on the measured responses. The parameters were oxygen flow, fuel flow, air envelope gas flow, powder feed rate, spray distance, and nozzle configuration. The coatings were characterized by hardness tests, surface profilometry, optical metallography, and image analysis. This article investigates coating hardness, porosity, surface roughness, deposition efficiency, and microstructure with respect to the influence of the processing parameters. Analytical studies were conducted to investigate gas, particle, and coating dynamics for two of the HVOF thermal spray experiments.
TL;DR: In this article, a combination of classical design of experiments and of Taguchi concepts was used to study the effect of six factors on the characteristics of a certain biscuit, and the main achievement was a considerable reduction in the variation of biscuit length.
Abstract: Many applications of off-line Taguchi methods have been reported, especially over the past six years, in areas such as the automotive, plastics and electronic industries. However, case studies in the food industry have been very rare. This work describes the first part of a research programme in which a combination of classical design of experiments and of Taguchi concepts was used to study the effect of six factors on the characteristics of a certain biscuit. The main achievement was a considerable reduction in the variation of biscuit length.