Relevant bibliographies by topics / Taguchi optimization

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers

Academic literature on the topic 'Taguchi optimization'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Taguchi optimization"

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Raji, Akinwale Olusegun, and Sunday Ayoola Oke. "Enhancement of Maintenance Downtime Using Poisson Motivated-Taguchi Optimization Method." Al-Nahrain Journal for Engineering Sciences 22, no. 4 (2019): 294–306. http://dx.doi.org/10.29194/njes.22040294.

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In an original article, an addition was made to the well-known Taguchi’s methodical design literature by proposing how Poisson distribution may be incorporated into the Taguchi method for enhanced performance analysis in optimization. While the article is recent, it was found compelling enough to apply this novel concept of Poisson distribution to a growing area of maintenance research known as maintenance downtime analysis. Consequently, this paper contributes to the expanding research neighborhood through a Taguchi optimization method based on Poisson distribution related to the maintenance
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Mohanty, Saumya Darsan, Ramesh Chandra Mohanty, and Siba Sankar Mahapatra. "Study on Performance of EDM Electrodes Produced Through Rapid Tooling Route." Journal of Advanced Manufacturing Systems 16, no. 04 (2017): 357–74. http://dx.doi.org/10.1142/s0219686717500214.

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The present study highlights a multi-objective optimization problem by applying utility concept coupled with Taguchi method through a case study in electric discharge machining of D2 steel by using electrode produced by direct metal laser sintering (LS). The study aimed at evaluating the best process environment which could simultaneously satisfy multiple requirements such as tool wear rate, material removal rate, and surface roughness. As traditional Taguchi method cannot solve a multi-objective optimization problem, to overcome this limitation, utility theory has been coupled with Taguchi me
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Struzikiewicz, Grzegorz, Wojciech Zębala, and Ksenia Rumian. "Application of Taguchi Method to Optimization of Cutting Force and Temperature during Turning of Difficult to Cut Materials." Key Engineering Materials 686 (February 2016): 114–18. http://dx.doi.org/10.4028/www.scientific.net/kem.686.114.

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The paper presents an analysis of the selection of the regression function in the optimization of steel turning using Taguchi method. The study attempts to investigate cutting force and temperature during turning of steel. Taguchi L16 (4) 2 orthogonal array has been applied for experimental design. S/N ratio and ANOVA analyses were performed to identify significant parameters influencing cutting force and temperature. Mathematical models for both response parameters i.e. cutting force and temperature roughness were obtained through regression analysis. The confirmation experiments carried out
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Sriprateep, Keartisak, Puttipong Patumchat, and Wasan Theansuwan. "Application of Taguchi Method in the Optimization of Cutting Parameters for Turning Metal Matrix Composite." Advanced Materials Research 189-193 (February 2011): 3056–60. http://dx.doi.org/10.4028/www.scientific.net/amr.189-193.3056.

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The objective of this study was to utilize Taguchi methods to optimize surface roughness, tool wear and power required to perform the machining operation in turning metal matrix composites (MMC). The cutting parameters are analyzed under varying cutting speed, feed rates and cutting time. The settings of turning parameters were determined by using Taguchi’s experimental design method. Orthogonal arrays of Taguchi, the signal-to-noise (S/N) ratio, the analysis of variance (ANOVA) are employed to find the optimal levels and to analyze the effect of the turning parameters. Confirmation tests with
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Ting, T. O., H. C. Ting, and T. S. Lee. "Taguchi-Particle Swarm Optimization for Numerical Optimization." International Journal of Swarm Intelligence Research 1, no. 2 (2010): 18–33. http://dx.doi.org/10.4018/jsir.2010040102.

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In this work, a hybrid Taguchi-Particle Swarm Optimization (TPSO) is proposed to solve global numerical optimization problems with continuous and discrete variables. This hybrid algorithm combines the well-known Particle Swarm Optimization Algorithm with the established Taguchi method, which has been an important tool for robust design. This paper presents the improvements obtained despite the simplicity of the hybridization process. The Taguchi method is run only once in every PSO iteration and therefore does not give significant impact in terms of computational cost. The method creates a mor
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Joseph, Samuel, Muhammad U. Kaisan, and Yinka S. Sanusi. "Taguchi-Grey Optimization of Tribological Characteristics of Blended SAE 40 Lubricant." KIU Journal of Science, Engineering and Technology 2, no. 1 (2023): 84–96. http://dx.doi.org/10.59568/kjset-2023-2-1-11.

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A high proportion of lubricants used in automobile engines are mineral-based oil. The depletion of oil reserves and the concerns (non-biodegradable, toxic and environmental issues) of mineral based lubricants prompted the research for a viable alternative. Vegetable oil has been proposed as a potential substitute for the mineral-base lubricants due to its natural and eco-friendly characteristics. In this study, optimization of tribological characteristics of blended SAE 40 produced from SN 500 mineral oil, Shea butter bio-base oil, and viscosity improver was carried out on pin-on-disc tribomet
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Madić, Miloš, Miroslav Radovanović, Margareta Coteata, Predrag Janković, and Dušan Petković. "Multi-Objective Optimization of Laser Cutting Using ROV-Based Taguchi Methodology." Applied Mechanics and Materials 809-810 (November 2015): 405–10. http://dx.doi.org/10.4028/www.scientific.net/amm.809-810.405.

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Multi-objective optimization of laser cutting for simultaneous improvement of performance characteristics is of great practical importance. In this study a range of value (ROV)-based Taguchi methodology is proposed for multi-objective optimization of laser cutting, i.e. surface roughness, kerf width and burr height in CO2laser cutting of AISI 304 stainless steel. Laser cutting experiment was conducted based on Taguchi’s L27experimental design by varying the laser power, cutting speed, assist gas pressure and focus position at three levels. In the proposed methodology based on the experimental
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Sengottuvel, P., V. Palanisamy, J. Arun, N. R. R. Anbusagar, and J. Hameed Hussain. "EDM Process Parameters Optimization Using Taguchi Method." Applied Mechanics and Materials 766-767 (June 2015): 867–72. http://dx.doi.org/10.4028/www.scientific.net/amm.766-767.867.

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In this paper , the parameters of Electrical Discharge Machine (EDM) are investigated during the machining of Inconel 718 by using different sizes of circular Aluminum electrode. Demand for better surface finishes are increasing recently for all materials, the low rigidity and high material removal rate of Inconel alloys offers a challenging task in obtaining better Surface Finish. The analysis of surface characteristics like Surface Roughness (SR) of Inconel 718 material is carried out an excellent surface finish can be obtained by setting the machining parameters at optimum level. Experiment
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Abdo, Basem M. A., S. M. Darwish, A. M. Al-Ahmari, and A. M. El-Tamimi. "Optimization of Process Parameters of Rotary Ultrasonic Machining Based on Taguchis Method." Advanced Materials Research 748 (August 2013): 273–80. http://dx.doi.org/10.4028/www.scientific.net/amr.748.273.

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In this Research, Taguchi optimization methodology is used to optimize Rotary Ultrasonic Machining (RUM) parameters for face milling of zirconia ceramic. The influence of the RUM parameters such as vibration frequency, vibration amplitude, spindle speed, feed rate, and depth of cut on cutting force and material removal rate (MRR) is studied. A three-level orthogonal array table is used to determine the signal-to-noise (S/N) ratios based on Taguchis design of experiments. Furthermore, analysis of variance (ANOVA) has been performed to study the relative significance of the different factors on
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Biswas, A., S. Bhaumik, Gautam Majumdar, Saurav Datta, and S. S. Mahapatra. "Bead Geometry Optimization of Submerged Arc Weld: Exploration of Weighted Principal Component Analysis (WPCA)." Applied Mechanics and Materials 110-116 (October 2011): 790–98. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.790.

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The present work attempts to overcome underlying assumptions in traditional Taguchi based optimization techniques highlighted in literature. Taguchi method alone fails to solve multi-response optimization problems. In order to overcome this limitation, exploration of grey relation theory, desirability function approach, utility theory etc. have been found amply applied in literature in combination with Taguchi method. But aforesaid approaches relies on the assumption that individual response features are uncorrelated i.e. independent of each other which are really impossible to happen in pract
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Dissertations / Theses on the topic "Taguchi optimization"

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Naber, John F. "The optimization of SPICE modeling parameters utilizing the Taguchi methodology." Diss., Virginia Tech, 1992. http://hdl.handle.net/10919/38542.

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A new optimization technique for SPICE modeling parameters has been developed in this dissertation to increase the accuracy of the circuit simulation. The importance of having accurate circuit simulation models is to prevent the very costly redesign of an Integrated Circuit (IC). This radically new optimization technique utilizes the Taguchi method to improve the fit between measured and simulated I-V curves for GaAs MESFETs. The Taguchi method consists of developing a Signal-to-Noise Ratio (SNR) equation that will find the optimum combination of controllable signal levels in a design or pr
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Peng, Chien-Chin, and 彭乾欽. "Evolutionary Computation for Multiobjective Optimization Using Taguchi MethodEvolutionary Computation for Multiobjective Optimization Using Taguchi Method." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/94593058197290522271.

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碩士<br>華梵大學<br>資訊管理學系碩士班<br>94<br>Abstract Evolutionary computation, such as evolutionary programming, evolution strategy, genetic algorithm, and genetic programming etc., has already been widely used for solving the optimization problems. Evolutionary algorithms can be divided into two categories: single objective and multiple objectives. With single objective, we introduce two modified evolutionary algorithms: the orthogonal genetic algorithm with quantization (OGA/Q), which utilizes the orthogonal design and quantization technique, and the Hybrid Taguchi-Genetic Algorithm (HTGA), which uti
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Lin, Ying-chien, and 林穎健. "Production Cost Optimization Using the Taguchi Methods." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/44084033751718861210.

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碩士<br>國立雲林科技大學<br>工業工程與管理研究所碩士班<br>95<br>In order to achieve better competitiveness in manufacture field, there are many improving actions related to cost reduction and efficiency revolution are taking placing in recent years. However, the overall process balancing and transaction among stations are not usually carefully managed. There are several examples showing that efficiency improvement plan which only focus on each station might actually decrease overall performance due to conflict between each action. Optimization on key parameters of machining by Taguchi Method, modeling the relati
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Chiu, Hui-Shan, and 邱慧珊. "EPS Extrusion Parameters Optimization Using Taguchi Method." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/5dc43m.

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碩士<br>國立虎尾科技大學<br>創意工程與精密科技研究所<br>98<br>Plastic extrusion is the most common technology in plastic industry. To obtain the optimum parameters, we need lots of experiments and experiences to get the value; however, doing experiments take lots of time and even if they ere done, there is theoretical basis to analyze them. Hereby, the purpose of this study is to find out the optimum parameters by using Taguchi Method. We found out the factors affecting the quality of PS extrusion by using Taguchi Method. The major factors to affecting PS extrusion process are as below:(A)Proportion of plastic mat
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Pathak, Rohit. "Multi Objective Optimization using Grey Taguchi Method." Thesis, 2009. http://ethesis.nitrkl.ac.in/318/1/Six_Sigma_Methodologies_in_Process_ControlPDF.pdf.

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This study investigated the optimization of CNC turning operation parameters for Copper using the Grey relational analysis method. In turning process parameters such as cutting tool geometry and materials, depth of cut, feed rates, cutting speeds as well as the use of cutting fluids will impact the MRR and machining properties like surface roughness. The controllable input parameters were Speed (RPM), Feed (mm/rev) and Depth of Cut (mm). Twenty Seven experimental runs based on an orthogonal array of Taguchi method were performed. The properties of Surface Finish and Material Removal Rate were
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Lenka, Arunesh. "Optimization of hot-machining using taguchi method." Thesis, 2012. http://ethesis.nitrkl.ac.in/3742/1/B.TECH_THESIS_ARUNESH_LENKA_108ME059.pdf.

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The production of exotic and smart materials has become highly in dispensable to satisfy the robust design requirements for aerospace and defense sector. The machining of these materials has posed a great challenge in industries. In this study, work piece is softened by heating and thereby shear strength is reduced. The work piece used in this process is Ni hard material, from this experiment the cutting force and the tool wear is calculated. The work piece was heated at different temperatures, and the power was calculated using an ammeter and voltmeter. The cutting force was eventually develo
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Joshi, Mayank. "Optimization of Micromillingprocess Using Grey Taguchi Method." Thesis, 2013. http://ethesis.nitrkl.ac.in/5441/1/109ME0373.pdf.

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Recently the need of micro technologies are growing rapidly. Demand of microscale miniaturized parts are increasing in industries like electronics, aerospace, optics, telecommunication, medical, automobile etc. where quality is the most significant element. Micro-machining, micro]molds and micro]system are modern engineering science for mass production of the 3D micro-components with an accuracy of microns in a wide range of workpiece material. Mechanical micromachining is an important method in micro-machining process which includes micro-drilling, micro turning and the most efficient micro
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Lee, Ko-Chin, and 李科進. "Wave Soldering Process Optimization Through Taguchi Experimental Design." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/56259477309959135142.

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碩士<br>華梵大學<br>工業工程與經營資訊學系碩士班<br>95<br>The wave soldering process is used for the rework and assembly of through hole components. Due to the Restriction in use of certain Hazardous Substance in electrical and electronic equipment （RoHS）, lead free solder such as SAC305 is replacing the conventional tin lead solder. However, indirect materials and process parameters used in lead free wave soldering process are not well defined. While the melting temperature of SAC305 solder is 37oC higher than that of Sn63/Pb37 solder, concerns include insufficient hole fill in the plated through hole and diffic
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Chen, Pei-Yu, and 陳佩玉. "Taguchi methods for design optimization of ship's structures." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/58232578739526005556.

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碩士<br>國立臺灣海洋大學<br>系統工程暨造船學系<br>94<br>Abstract This thesis is based on the Taguchi’s method to propose a modified Taguchi’s method that successively selects the most important factor among these factors in the orthogonal array (OA) and then holds the most important with the best level for the next OA. Meanwhile, use fuzzy membership function and max-min fuzzy decision model to deal with the design of experiments using OAs with multiple qualities. In this thesis, there are two design optimizations of complex ship’s hull strength with discrete design variables to be studied and discussed. 1.
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CHIH-HAO, WANG, and 王智豪. "Optimization of Straight Steelmaking Size Using Taguchi Method." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/p6agy6.

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碩士<br>高苑科技大學<br>電機工程研究所<br>106<br>In processes of the casting of steel billet, molten metal is tapped into the ladle from furnaces. After undergoing ladle treatments and arriving at the correct temperature (more than 1600 ℃), the ladle is transported to the top of the casting machine (Usually the ladle sits in a slot on a rotating turret at the casting machine). From the ladle, the hot metal is transferred to a holding bath called a tundish.Metal is drained through the tundish and into all the mold. The mold is water-cooled to solidify the hot metal directly in contact with it; this is the pri
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Books on the topic "Taguchi optimization"

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C, Patton Peter, and Jayaswal Bijay K. 1949-, eds. Taguchi methods and optimization for robust software. Prentice Hall, 2007.

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Weng, Wei-Chung, Fan Yang, and Atef Elsherbeni. Electromagnetics and Antenna Optimization Using Taguchi’s Method. Springer International Publishing, 2008. http://dx.doi.org/10.1007/978-3-031-01701-8.

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Design Optimization: Advanced Taguchi. McGraw-Hill, 2010.

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JOSHI, G. R. OPTIMIZATION by GREY RELATIONAL ANALYSIS and TAGUCHI METHOD: Application of Grey Relational Analysis and Taguchi Method for Optimization of the Wire-Cut Edm Process. Independently Published, 2021.

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Weng, Wei-Chung. Electromagnetics and Antenna Optimization using Taguchi's Method (Synthesis Lectures on Computational Electromagnetics). Morgan and Claypool Publishers, 2007.

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Taguchi, Genichi, Shin Taguchi, and Subir Chowdhury. Robust Engineering: Learn How to Boost Quality While Reducing Costs & Time to Market. McGraw-Hill Professional, 1999.

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Taguchi, Genichi, Shin Taguchi, and Subir Chowdhury. Robust Engineering: Learn How to Boost Quality While Reducing Costs & Time to Market. McGraw-Hill Professional, 1999.

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Design Optimization: Taguchi's Robust Parameter Design. McGraw-Hill, 2010.

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Elsherbeni, Atef, Wei-Chung Weng, and Fan Yang. Electromagnetics and Antenna Optimization Using Taguchi's Method. Morgan & Claypool Publishers, 2007.

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Electromagnetics and Antenna Optimization Using Taguchi's Method. Springer International Publishing AG, 2007.

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Book chapters on the topic "Taguchi optimization"

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Phadke, Madhav S. "Design Optimization Case Studies." In Quality Control, Robust Design, and the Taguchi Method. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1472-1_10.

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Kumar, Kaushik, Supriyo Roy, and J. Paulo Davim. "Single-Objective Optimization Using Taguchi Technique (Maximization)." In Soft Computing Techniques for Engineering Optimization. CRC Press, 2019. http://dx.doi.org/10.1201/9780429053641-5.

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Kumar, Kaushik, Supriyo Roy, and J. Paulo Davim. "Single-Objective Optimization Using Taguchi Technique (Minimization)." In Soft Computing Techniques for Engineering Optimization. CRC Press, 2019. http://dx.doi.org/10.1201/9780429053641-6.

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Kumar, Kaushik, Supriyo Roy, and J. Paulo Davim. "Multi-Objective Optimization Using Grey-Taguchi Technique." In Soft Computing Techniques for Engineering Optimization. CRC Press, 2019. http://dx.doi.org/10.1201/9780429053641-7.

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Taguchi, G., and M. S. Phadke. "Quality Engineering through Design Optimization." In Quality Control, Robust Design, and the Taguchi Method. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-1472-1_5.

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Tu, Kuo-Yang, and Min-Hui Li. "Taguchi Method Optimization for PCB Lamination Process." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23147-6_22.

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Kumar, Kaushik, Supriyo Roy, and J. Paulo Davim. "Working with Minitab for Optimization Using Taguchi Technique." In Soft Computing Techniques for Engineering Optimization. CRC Press, 2019. http://dx.doi.org/10.1201/9780429053641-11.

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Kumar, Kaushik, Supriyo Roy, and J. Paulo Davim. "Multi-Objective Optimization Using Taguchi-Coupled Fuzzy Logic." In Soft Computing Techniques for Engineering Optimization. CRC Press, 2019. http://dx.doi.org/10.1201/9780429053641-8.

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Chetri, Subham, and Sumita Debbarma. "Optimization of Biodiesel Production from Waste Cooking Oil Using Taguchi Method." In Modeling, Simulation and Optimization. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6866-4_41.

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Shekhar, Varun, and Manthan Jadhav. "Optimization of Vacuum Impregnation Plant Using Taguchi Methodology." In Proceedings of International Conference in Mechanical and Energy Technology. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-2647-3_44.

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Conference papers on the topic "Taguchi optimization"

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Benlamnouar, Mohamed Farid, Yazid Laib dit Laksir, Omar Fethi Benaouda, Tahar Saadi, Nabil Bensaid, and Riad Badji. "Optimization of Industrial Process Assembly Using Taguchi Method." In 2024 4th International Conference on Embedded & Distributed Systems (EDiS). IEEE, 2024. https://doi.org/10.1109/edis63605.2024.10783349.

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Liu, Rubing, Haihong Pan, Dejun Yin, and Cheng Hu. "Optimization design of variable reluctance resolver based on Taguchi method." In 6th International Conference on Information Science, Electrical, and Automation Engineering (ISEAE 2024), edited by Dehai Zhang and Tao Lei. SPIE, 2024. http://dx.doi.org/10.1117/12.3037520.

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Hosamani, Ravi, Yerriswamy T, Chetan V. Sagarnal, and Kiran R. Patil. "Channel Estimation in Multi-Antenna Cellular Systems: Taguchi Optimization Techniques." In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS). IEEE, 2025. https://doi.org/10.1109/icicacs65178.2025.10968601.

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Tsai, S. C., and K. M. Ragsdell. "Orthogonal Arrays and Conjugate Directions for Taguchi-Class Optimization." In ASME 1988 Design Technology Conferences. American Society of Mechanical Engineers, 1988. http://dx.doi.org/10.1115/detc1988-0035.

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Abstract The work of Genichi Taguchi has recently become a subject of great interest and promise amongst U.S. manufacturing companies. Dr. Taguchi’s philosophy contains two important elements [1] : 1. Quality loss is defined as deviation from target. 2. Quality can only be achieved economically by being designed in. Dr. Taguchi’s approach employs orthogonal arrays and analysis of variance (ANOVA) tables in place of Taylor-expansion methods[2]. This approach appears to provide an opportunity for greater accuracy and proven convenience for practical engineering problems. This paper reports on a
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Pratt, James K., Hasan Mutlu, H. Heil, B. Hofmann, N. Schmidt, and J. Segain. "Photoreceptor Optimization Via Taguchi Methods." In SAE International Congress and Exposition. SAE International, 1987. http://dx.doi.org/10.4271/870276.

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Saurabh, J. S. Jassi, Aas Mohammad, D. P. Singh, and Hasan Zakir Jafri. "Machining parameter optimization using Taguchi approach." In 2015 International Conference on Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE). IEEE, 2015. http://dx.doi.org/10.1109/ablaze.2015.7154964.

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Devaraj, Jeyaganesh, Aiman Ziout, and Jaber Abu Qudeiri. "Optimization of Welding Dissimilar sheet metals using Taguchi and Grey based Taguchi Methods." In 2022 Advances in Science and Engineering Technology International Conferences (ASET). IEEE, 2022. http://dx.doi.org/10.1109/aset53988.2022.9734859.

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Watt, Daniel F., and M. Nasim Uddin. "Laser welding optimization - Employing Taguchi orthogonal array." In ICALEO® ‘94: Proceedings of the Laser Materials Processing Conference. Laser Institute of America, 1994. http://dx.doi.org/10.2351/1.5058853.

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Wei-Chung Weng, Fan Yang, Veysel Demir, and Atef Elsherbeni. "Optimization using Taguchi method for electromagnetic applications." In 2006 1st European Conference on Antennas and Propagation (EuCAP). IEEE, 2006. http://dx.doi.org/10.1109/eucap.2006.4584773.

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Otto, Kevin N., and Erik K. Antonsson. "Extensions to the Taguchi Method of Product Design." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0026.

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Abstract The Taguchi method of product design is an experimental approximation to minimizing the expected value of target variance for certain classes of problems. Taguchi’s method is extended to designs which involve variables each of which has a range of values all of which must be satisfied (necessity), and designs which involve variables each of which has a range of values any of which might be used (possibility). Tuning parameters, as a part of the design process, are also introduced into Taguchi’s method. The method is also extended to solve design problems with constraints, invoking the
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