Book•
A Primer on the Taguchi Method
01 Jun 1990-
About: The article was published on 1990-06-01 and is currently open access. It has received 1573 citations till now. The article focuses on the topics: Taguchi methods & Primer (paint).
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TL;DR: A review of the research carried out so far in determining and optimizing the process parameters of the FDM process can be found in this paper, where several statistical designs of experiments and optimization techniques used for the determination of optimum process parameters have been examined.
Abstract: Fused deposition modeling (FDM) is one of the most popular additive manufacturing technologies for various engineering applications. FDM process has been introduced commercially in early 1990s by Stratasys Inc., USA. The quality of FDM processed parts mainly depends on careful selection of process variables. Thus, identification of the FDM process parameters that significantly affect the quality of FDM processed parts is important. In recent years, researchers have explored a number of ways to improve the mechanical properties and part quality using various experimental design techniques and concepts. This article aims to review the research carried out so far in determining and optimizing the process parameters of the FDM process. Several statistical designs of experiments and optimization techniques used for the determination of optimum process parameters have been examined. The trends for future FDM research in this area are described.
925Â citations
Cites methods from "A Primer on the Taguchi Method"
...It is noted that the Taguchi method can reduce the number of experiments significantly in comparison with RSM [37]....
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TL;DR: In this paper, the influence of process parameters on the quality characteristics of the prototypes using Taguchi technique has been assessed and the results of the study and the conclusions arrived from it.
655Â citations
TL;DR: In this article, a review of research into the impacts of sharing production information on the supply chain dynamics is presented, and a loose reference framework is proposed to reflect major elements commonly involved in this type of research, including the decision level investigated, supply chain structure, research questions addressed, factors involved, and findings and insights from the managerial perspective obtained.
Abstract: This paper is a review of research into the impacts of sharing production information on the supply chain dynamics. The purpose of the review is to understand the needs to unravel such impacts on the supply chain design and management, to identify the current research frontier and to study the future trend in this field. The scope of the review is somewhat broad in the sense that more than 100 relevant publications resulting from major research projects and originating from some leading research groups are selected for review. In order to maintain the necessary coherence and consistency, this comprehensive review proposes a loose reference framework to reflect major elements commonly involved in this type of research, including the decision level investigated, supply chain structure, research questions addressed, factors involved, supply chain dynamics measured, modelling methodology adopted, data analysis technique used, and findings and insights from the managerial perspective obtained. The framework se...
502Â citations
Cites methods from "A Primer on the Taguchi Method"
...In order to explore the combination of supply chain factors while keeping a reasonable number of experiments, the Taguchi method is a suitable way of dealing with this issue (Roy 1990)....
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Book•
01 Jan 2009
TL;DR: Step-by-step procedure to solve real problems, making the topic more accessible, and exercises blend theory and modern applications.
Abstract: Mathematical Statistics with Applications provides a calculus-based theoretical introduction to mathematical statistics while emphasizing interdisciplinary applications as well as exposure to modern statistical computational and simulation concepts that are not covered in other textbooks. Includes the Jackknife, Bootstrap methods, the EM algorithms and Markov chain Monte Carlo methods. Prior probability or statistics knowledge is not required. ? Step-by-step procedure to solve real problems, making the topic more accessible ? Exercises blend theory and modern applications ? Practical, real-world chapter projects ? Provides an optional section in each chapter on using Minitab, SPSS and SAS commands ? Student solutions manual, instructors manual and data disk available
428Â citations
TL;DR: The application and comparison of the Taguchi methodology has been emphasized with specific case studies in the field of biotechnology, particularly in diverse areas like fermentation, food processing, molecular biology, wastewater treatment and bioremediation.
Abstract: Success in experiments and/or technology mainly depends on a properly designed process or product. The traditional method of process optimization involves the study of one variable at a time, which requires a number of combinations of experiments that are time, cost and labor intensive. The Taguchi method of design of experiments is a simple statistical tool involving a system of tabulated designs (arrays) that allows a maximum number of main effects to be estimated in an unbiased (orthogonal) fashion with a minimum number of experimental runs. It has been applied to predict the significant contribution of the design variable(s) and the optimum combination of each variable by conducting experiments on a real-time basis. The modeling that is performed essentially relates signal-to-noise ratio to the control variables in a 'main effect only' approach. This approach enables both multiple response and dynamic problems to be studied by handling noise factors. Taguchi principles and concepts have made extensive contributions to industry by bringing focused awareness to robustness, noise and quality. This methodology has been widely applied in many industrial sectors; however, its application in biological sciences has been limited. In the present review, the application and comparison of the Taguchi methodology has been emphasized with specific case studies in the field of biotechnology, particularly in diverse areas like fermentation, food processing, molecular biology, wastewater treatment and bioremediation.
414Â citations