Showing papers on "Taguchi methods published in 1989"
Book•
01 Jan 1989
TL;DR: In this article, the authors present case studies from the automotive industry, from the electronics industry and process control industries and other manufacturing industries, such as injection molding, to illustrate how flexible and wide-ranging the techniques are.
Abstract: This book covers major case studies concerning Taguchi methodology, a statistical technique which is fast becoming important in quality control and productivity issues. The text examines, both constructively and critically, new applications of Taguchi methods and draws upon a large number of examples to illustrate how flexible and wide-ranging the techniques are. Included in the book are case studies from the automotive industry, from the electronics industry and process control industries and other manufacturing industries, such as injection moulding.
213 citations
01 Jan 1989
TL;DR: In this paper, the authors introduce the readers to some of the basic elements of Taguchi's quality philosophy and introduce the reader to the basic concepts of quality philosophy in the context of communication.
Abstract: Today, Genichi Taguchi is frequently mentioned along with W. Edwards Deming, Kaoru Ishikawa, and J. M. Juran. His popularity testifies to the merit of his quality philosophy. However, a lack of proper communication has kept some of his ideas in a shroud of mystery. This paper will introduce the readers to some of the basic elements of Taguchi’s quality philosophy.
116 citations
TL;DR: In this paper, Taguchi's Quality Philosophy: Analysis and Commentary, Macro-Quality with Micro-Money, and Quality Engineering using Design of Experiments are discussed. But, they focus on the design of experiments and not the quality of the experiments.
Abstract: One - Overview.- 1 Taguchi's Quality Philosophy: Analysis and Commentary.- 2 Macro-Quality with Micro-Money.- 3 Quality Engineering using Design of Experiments.- 4 Off-Line Quality Control, Parameter Design, and the Taguchi Method.- 5 Quality Engineering through Design Optimization.- Two - Case Studies.- 6 Off-Line Quality Control in Integrated circuit Fabrication using Experimental Design.- 7 Optimizing the Wave Soldering Process.- 8 Robust Design: A Cost-Effective Method for Improving Manufacturing Processes.- 9 Tuning Computer Systems for Maximum Performance: A Statistical Approach.- 10 Design Optimization Case Studies.- Three - Methodology.- 11 Testing in Industrial Experiments with Ordered Categorical Data.- 12 Performance Measures Independent of Adjustment: An Explanation and Extension of Taguchi's Signal-To-Noise Ratios.- 13 A Geometric Interpretation of Taguchfs Signal to Noise Ratio.- 14 A Data Analysis Strategy for Quality Engineering Experiments.
94 citations
TL;DR: The assumptions of the on-line process control methods presented by Taguchi, Elsayed, and Hsiang (1989) are examined in this paper, where a method for approximating optimal control strategies is presented and compared with results obtained using Taguchi's method.
Abstract: The assumptions of the on-line process-control methods presented by Taguchi, Elsayed, and Hsiang (1989) are examined. Taguchi's method for obtaining control strategies is evaluated for the random-walk case. A method for approximating optimal control strategies is presented and compared with results obtained using Taguchi's method, with a new modification of Taguchi's method, and with simulation results.
63 citations
TL;DR: In this article, an example of a simple passive filter design is presented using the analysis of variance and signal-to-noise metrics described by Taguchi, and this example serves as a vehicle for demonstrating the principles underlying the Taguchi methods and comparing them to the design axioms.
Abstract: This paper illustrates the methods of engineering analysis developed by Taguchi and demonstrates that their application is consistent with the two axioms of design uncovered by Suh. An example of a simple passive filter design is presented using the analysis of variance and signal-to-noise metrics described by Taguchi. This example serves as a vehicle for demonstrating the principles underlying the Taguchi methods and comparing them to the design axioms.
12 citations
TL;DR: In this article, the authors proposed a method for improving the mean square analysis of taguchi methods in saturated fractional designs, and showed that the problem of using designs with no independent estimate of experimental error can be solved.
Abstract: Taguchi methods are currently attracting much attention, and certain cavalier interpretations of mean squares in saturated fractional designs have recevied criticism. After two examples illustrating the problem, some procedures are tentatively proposed for improving such analyses, but there is scope for refining these methods, and for research into the general problems of using designs with no independent estimate of experimental error.
12 citations
TL;DR: In this article, two methods were used to analyze robot process capability data: the randomized complete block design method and Taguchi statistical experimental design methods, which yielded similar results in determining a robot's process capability within 10.4%.
Abstract: The robot process capability problem is outlined and terms are defined. Recent efforts to measure robot capability are reviewed. Two methods were used to analyze robot process capability data: the randomized complete block design method and Taguchi statistical experimental design methods. The purpose of the study was to compare the results obtained by these two methods and determine which method was better for analyzing the data to be used in determining/optimizing a robot's process capability. Three-dimensional (3-D) coordinate data were obtained using a WATSMART vision system to determine a robot's process capability. Three levels of four independent variables—load, X -, Y - and Z - coordinates—were chosen for the study. Both analysis methods yielded similar results in determining a robot's process capability (within 10.4%). The Taguchi methods required significantly fewer data than the randomized complete block design used. Taguchi methods also optimized a robot's process capability.
11 citations
Journal Article•
10 citations
TL;DR: The philosophy and statistical methods of Genichi Taguchi are some of the best known of the Japanese quality innovations and although his quality control techniques involve both on-line and off-line components, the emphasis is on quality engineering and the design of experiments.
Abstract: The concept of quality control evolved from simple beginnings at Bell Telephone in 1882. Bell was the first to recognize the importance of consistent quality in the design, manufacture, and installation of products. In 1925, Bell Laboratories pioneered many statistical techniques of quality control that were later refined and expanded on by one of the great scholars in this area, W. Edward Deming. Deming and others, including Juran, were responsible for such notable work as sequential and multivariate analysis and the T2 statistic. Variations on these basic concepts form the basis of the modern techniques of acceptance sampling, zerodefects, and computer control. In spite of America's early involvement in developing he concept, many of the most important advances in quality control in recent years have come from Japan. This stems from the fundamentally different approach to quality taken by the Japanese. In short, quality tends to be "designed in" by the Japanese, while it is most often "inspected out" by the typical American firm. The philosophy and statistical methods of Genichi Taguchi are some of the best known of the Japanese quality innovations. Although his quality control techniques involve both on-line (process) and off-line (design) components, the emphasis is on quality engineering and the design of experiments. Exhibit 1 provides an overview of the Taguchi philosophy of quality responsibility.
9 citations
01 Nov 1989
TL;DR: In this paper, the authors present a computer program that addresses the need for an automated system able to design the experimental matrices for the orthogonal arrays that are required by Taguchi's Method.
Abstract: In the last several years, the use of designed experiments in manufacturing and engineering design environments has become increasingly popular through the introduction of the ideas of Dr. G. Taguchi. The Taguchi Method, a systematic technique for experimental design and analysis, employs team oriented solutions to analyze design and production problems and their causes. The Taguchi Method as provided a simplified approach to the design of statistically significant experiments. This has greatly increased the number of experimental design practitioners. This paper presents a computer program that addresses the need for an automated system able to design the experimental matrices for the orthogonal arrays that are required by Taguchi's Method. The program was written tode sign simple arrays as well as complex multi-level arrays with two-way interactions.
TL;DR: In this paper, the optimum machining conditions of a WEDM are estimated by the parameter design on the basis of Taguchi's method, and the performance evaluation is carried out.
Abstract: The optimum machining conditions of a WEDM are estimated by the parameter design on the basis of Taguchi's method, and the performance evaluation is carried out.When a dimension is adopted as a characteristic, it is estimated that, by optimizing the average machining voltage and wire speed, the improvement of the accuracy is expected by about 50%, and under the optimum machining conditions machining is done with precision of about 21μm (σ).Other results concerning angle show that by optimizing the discharge currents for machining and quiescent time, the improvement of the accuracy is expected by 40%, and similarly under the optimum machining conditions, machining can be done with precision of about 8s (σ).
01 Sep 1989
TL;DR: In this article, a series of 9 steps are presented and explained to guide the manufacturing professional through the use of the Taguchi Method for problem identification and study, team building, and the design, analysis and interpretation of Taguchi experiments.
17 Sep 1989
TL;DR: In this paper, the authors considered a design problem with a set specification: fixed center distance, speed ratio, and transmission torque, and developed an algorithm to find a limited number of candidate designs by applying conventional design generation techniques and some design heuristics.
Abstract: This paper deals with the design of spur gears that have minimum transmission error and are insensitive to manufacturing variance. We address two stages of design: (1) generation of candidate designs (selection of number of teeth, pressure angle, etc.), and (2) tooth profile modification. The first stage involves a search of discrete combinations of design variables, while the second stage utilizes numerical optimization techniques. The key research issue is finding a candidate design and its profile modification that not only has low transmission error, but is insensitive to variations in the design values caused by the manufacturing process. To achieve this goal, the procedure applies Taguchi’s concept of parameter design. In this paper, we consider a design problem with a set specification: fixed center distance, speed ratio, and transmission torque. We seek to find a limited number of candidate designs by applying conventional design generation techniques and some design heuristics. For each candidate design, the procedure determines the optimum profile modification (linear tip relief) by linking the Load Distribution Program (LDP) for gears with an optimization program package (OPTPAK). From the resulting peak optimum, we further seek the statistical optimum using an algorithm developed in this paper. The statistical optimum shows a nominal increase in the transmission error, but is quite insensitive to typical process error associated with gear manufacturing. The developed algorithm readily applies to other gear designs as well as other types of machine elements. In particular, we foresee our procedure to be particularly effective for helical gears. We hope to further our method by developing a means to add statistical heuristics to the discrete design generation stage.
TL;DR: In this article, a method for obtaining the alias chains and the linear graphs corresponding to an orthogonal array is presented, which can be easily understood and employed by non-statisticians to find an experiment.
Abstract: An important reason behind the success of the Taguchi methodology in qual- ity assurance has been the use of statistical methods, presented in a way that is accessible to the nonexpert user. Among the tools used to simplify the sta- tistical design of experiments has been the linear graph, apparently introduced by Taguchi. However, he did not consider the resolution of the corresponding designs (the higher the resolution, the more accurate the conclusions). For example, it will be shown that half of the linear graphs given by Taguchi for the L16(215) orthogonal array correspond to designs of resolution III, when designs of resolution IV are available (with the same lines in the linear graphs but with different assignments to the columns of the orthogonal array). A nontraditional but very straightforward method is presented for obtaining the alias chains and the linear graphs corresponding to an orthogonal array. The procedure can be easily understood and employed by nonstatisticians to find an experimenta...
TL;DR: In this paper, the authors developed a new photoresist using Taguchi experimental designs to describe the linear responses of key characteristics and linear programming to optimize the factors of formulation, which allowed the design team to take the new photoreist, Megaposit S9400, from concept to marketplace in just seven months.
Abstract: Shipley Company supplies photoresist to the microelectronics industry for use in chip making. A design team developed a new photoresist using Taguchi experimental designs to describe the linear responses of key characteristics and linear programming to optimize the factors of formulation. We interchanged objective statements and property constraints when key properties were identified. This method of development allowed the design team to take the new photoresist, Megaposit S9400, from concept to marketplace in just seven months.
TL;DR: In this paper, Taguchi's methods for analyzing parameter design experiments are improved upon by using interaction graphs instead of marginal graphs, and using the sample variance instead of a signal-to-noise ratio, leading to product designs that are more robust to variation.
Abstract: Two aspects of Taguchi's methods for analyzing parameter design experiments that can be improved upon are considered. It is shown how using interaction graphs instead of marginal graphs, and how using the sample variance instead of a signal-to-noise ratio, can lead to product designs that are more robust to variation. The advantages of the alternative analysis will be illustrated by reanalyzing a case study considered by Barker (1986).
01 Jan 1989
TL;DR: The Taguchi Method is an empirical way of improving the quality of a product or process (a system) It consists of experimentally determining the levels of the system's parameters so that the system is insensitive (robust) to factors that make it performance degrade, Phadke & Dehnad.
Abstract: The Taguchi Method is an empirical way of improving the quality of a product or process (a system) It consists of experimentally determining the levels of the system’s parameters so that the system is insensitive (robust) to factors that make it’s performance degrade, Phadke & Dehnad[1] The successful application of this method to various engineering problems has generated an interest among statisticians in studying the methodology and casting it in a traditional statistical framework A concept of particular interest has been the notion of “Signal to Noise Ratio” (S/N ratio) that Professor Taguchi uses to measure the contribution of a system parameter1 to variability of the functional characteristics of that system Moreover, he uses the S/N ratio in a two step optimization procedure that aims at reducing the variability of these functional characteristics by the proper setting of these parameters The first step consists of conducting highly fractional factorial experiments (Orthogonal Array Designs) at various levels of the system’s parameters and using the data to select those levels that maximize the S/N ratio This reduces the variability of the functional characteristic of the system However, this characteristic might have some deviation from its desired value and the next step is to eliminate such deviations through proper adjustment of a system’s parameter called the “adjustment factor”2
TL;DR: In this paper, a Taguchi example is used to look at statistical significance under assumptions that may not hold true in a given experiment, and a case for including physical reasoning in the experimental process as a way to help in making close calls and to help avoid pitfalls.
Abstract: A Taguchi example is used in this note to look at statistical significance under assumptions that may not hold true in a given experiment. I also make a case for including physical reasoning in the experimental process as a way to help in making close calls and to help avoid pitfalls.
01 Feb 1989