Teaching the Taguchi method to industrial engineers

Antony, Jiju; Antony, Frenie Jiju

doi:10.1108/00438020110391873

Cited by 161 publications

(69 citation statements)

References 7 publications

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“…This method was proposed by Dr Genichi Taguchi in Japan. The important contribution of this method is reducing the effect of noise factors and finding the optimum level of main controllable factors to achieve a robust a design (Antony & Antony, 2001). One of the main parameters of Taguchi method is orthogonal array (OA) that has a significant effect on the success of the experiment.…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…It used to estimate the main and interaction effects by doing minimum number of experiments. The most useful orthogonal array designs are L8, L16 and L18 (Antony & Antony, 2001). Another important parameter of Taguchi method is signal-to-noise rate (SNR) to reduce the effect pf noise and optimize the process performance.…”

Section: Taguchi Methodsmentioning

confidence: 99%

“…In fact, the SNR is the response (output) of the experiment. Following steps should be conducted to implement the Taguchi method (Antony & Antony, 2001). …”

Section: Taguchi Methodsmentioning

confidence: 99%

“…Estimation of independent main factors was done using these graphs. Furthermore, if the interaction effect between the main effects is significant, we can assign it to other columns (Antony & Antony, 2001). …”

Section: Selection Of the Orthogonal Array Designmentioning

confidence: 99%

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The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

Zahraee

Chegeni

Toghtamish

2016

JIEM

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Abstract:Purpose: Manufacturing systems include a complicated combination of resources, such as materials, labors, and machines. Hence, when the manufacturing systems are faced with a problem related to the availability of resources it is difficult to identify the root of the problem accurately and effectively. Managers and engineers in companies are trying to achieve a robust production line based on the maximum productivity. The main goal of this paper is to design a robust production line, taking productivity into account in the selected manufacturing industry.Design/methodology/approach: This paper presents the application of Taguchi method along with computer simulation for finding an optimum factor setting for three controllable factors, which are a number of welding machines, hydraulic machines, and cutting machines by analyzing the effect of noise factors in a selected manufacturing industry.Findings and Originality/value: Based on the final results, the optimal design parameter of welding unit of in the selected manufacturing industry will be obtained when factor A is located at level 2 and B and C are located at level 1. Therefore, maximum productive desirability is achieved when the number of welding machines, hydraulic machines, and cutting machines is equal to 17, -487-Journal of Industrial Engineering and Management -http://dx.doi.org/10.3926/jiem.1425 2, and 1, respectively. This paper has a significant role in designing a robust production line by considering the lowest cost and timely manner based on the Taguchi method.

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Section: Taguchi Methodsmentioning

confidence: 99%

Section: Taguchi Methodsmentioning

confidence: 99%

“…In fact, the SNR is the response (output) of the experiment. Following steps should be conducted to implement the Taguchi method (Antony & Antony, 2001). …”

Section: Taguchi Methodsmentioning

confidence: 99%

Section: Selection Of the Orthogonal Array Designmentioning

confidence: 99%

See 2 more Smart Citations

The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

Zahraee

Chegeni

Toghtamish

2016

JIEM

View full text Add to dashboard Cite

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“…Dentro de su filosofía, Taguchi muestra como el diseño estadístico de experimentos puede ayudar a los ingenieros a diseñar y manufacturar productos que sean de alta calidad y a un bajo costo. Su enfoque se basa primeramente en eliminar las causas de pobre calidad y en hacer que el funcionamiento de los productos sea insensible a la variación (Antony y Antony, 2001). En los MT, los diseños factoriales fraccionados llamados arreglos ortogonales, son utilizados para optimizar la cantidad de información obtenida y limitar el número de experimentos.…”

Section: Introductionunclassified

Evaluación de la Robustez del sistema Mahalanobis-Taguchi a diferentes Arreglos Factoriales

Limón¹,

Rodríguez²,

Báez³

et al. 2011

Inf. tecnol.

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ResumenSe evalúa la robustez del Sistema Mahalanobis-Taguchi a los diferentes arreglos que pudieran utilizarse para discriminar las variables consideradas en un estudio. Para esto se utilizaron diferentes niveles de fraccionado de un diseño factorial 2 9 , así como todas las fracciones posibles para cada nivel, para evaluar si el resultado variaba dependiendo del arreglo empleado. Se utilizaron para este análisis los datos del estudio del cáncer de mama de Wisconsin reportados en una publicación, en cuyo análisis utilizaron un arreglo ortogonal L 12 . En este trabajo se realizó el análisis con diseños 2 9-k (k= 0,1,2,3,4 y 5) y todas las fracciones posibles para cada valor de k, generadas con el software Minitab 15 y se generó un programa en Matlab. Los resultados demostraron que esta técnica no es robusta a los diferentes arreglos que pudieran utilizarse. Palabras clave: robustez, sistema Mahalanobis-Taguchi, diseño factorial, arreglo ortogonal A robustness evaluation of the Mahalanobis-Taguchi System to different Factorial ArraysThe robustness of the Mahalanobis-Taguchi System to different arrays that could be used to discriminate variables in a study, is evaluated.. For this, different levels of fractional factorial design 2 9 were used, as well as all possible fractions for each level to find out if the results varied depending on the array utilized. For this analysis the Wisconsin´s breast cancer data reported in a publication were used, in which, an orthogonal array L 12 was employed. In this work, the analysis was performed with 2 9-k designs (k = 0,1,2,3,4 and 5) and all the possible fractions for each value of k generated using the software Minitab 15 and a Matlab program was generated. The results showed that this method is not robust to the different arrays that could be used.

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Fabrication of self‐reinforced polyester composites and their mechanical and flame retardant properties

et al. 2017

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Self-reinforced polyester composites (SRPCs) with light weight, high mechanical properties, good interfacial bonding, and easy to recycle at the end after use have been developed to replace traditional synthetic fiber-reinforced plastics. This study is on fabrication of SRPCs is performed using polyethylene terephthalate (PET) as matrix and polybutylene terephthalate (PBT) as reinforcement material through compression molding via film stacking method. The compression molding parameters such as temperature, pressure, and dwell time were optimized by Taguchi method, and these values are 225°C, 8 MPa, 5 min for tensile strength, 225°C, 5 MPa, 15 min for flexural, and 215°C, 3 MPa, 5 min for impact test. Flame retardancy in SRPCs has also been introduced as a new idea to minimize the flammability nature and is helpful in engineering applications. Flame retardants (FRs) such as ammonium polyphosphate (APP), zinc borate (Zb), and magnesium hydroxide (Mg(OH) 2 ) were used. The flame retardancy mechanism of optimized SRPCs works effectively which was evident by horizontal burning and LOI test. Thermogravimetric analysis (TGA) was also studied to confirm the thermal properties of the composites. Mechanical properties were reasonably affected by the FRs as confirmed by field emission scanning electron microscope (FESEM). K E Y W O R D S flame retardants, mechanical properties, self-reinforced polyester composites, Taguchi method, thermal analysis | 2437 WEI Et al. How to cite this article: Wei Z, Syed NA, Muhammad L, Jung-IL S. Fabrication of self-reinforced polyester composites and their mechanical and flame retardant properties.

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Teaching the Taguchi method to industrial engineers

Cited by 161 publications

References 7 publications

The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

The optimal parameter design for a welding unit of manufacturing industry by Taguchi method and computer simulation

Evaluación de la Robustez del sistema Mahalanobis-Taguchi a diferentes Arreglos Factoriales

Fabrication of self‐reinforced polyester composites and their mechanical and flame retardant properties

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