Citations (96)
Keep up to date with the latest research on this topic with citation updates for this article.
Read on this site (15)
Yan Ma, Jianjun Wang & Yiliu Tu. (2024) Concurrent optimization of parameter and tolerance design based on the two-stage Bayesian sampling method. Quality Technology & Quantitative Management 21:1, pages 88-110.
Read now
Read now
Issam A.R. Moghrabi. (2022) A non-Secant quasi-Newton Method for Unconstrained Nonlinear Optimization. Cogent Engineering 9:1.
Read now
Read now
Rachel Campos Sabioni, Joanna Daaboul & Julien Le Duigou. (2022) Concurrent optimisation of modular product and Reconfigurable Manufacturing System configuration: a customer-oriented offer for mass customisation. International Journal of Production Research 60:7, pages 2275-2291.
Read now
Read now
Shanshan Lv, Zhen He, A. Valeria Quevedo, Yiming Zhang Mirabile & G. Geoffrey Vining. (2019) Process optimization using sequential design of experiment: A case study. Quality Engineering 31:3, pages 473-483.
Read now
Read now
Shanshan Lv, Zhen He & Geoff Vining. (2017) Simultaneous optimization of quality and reliability characteristics through designed experiment. Quality Engineering 29:3, pages 344-357.
Read now
Read now
Hsiu-Wen Chen, Weng Kee Wong & Hongquan Xu. (2016) Data-driven desirability function to measure patients’ disease progression in a longitudinal study. Journal of Applied Statistics 43:5, pages 783-795.
Read now
Read now
Saeid Fallah‐Jamshidi & Maghsoud Amiri. (2013) Synergy of ICA and MCDM for multi‐response optimisation problems. International Journal of Production Research 51:3, pages 652-666.
Read now
Read now
PaulL. Goethals & Byung
Rae Cho. (2012) Designing the optimal process mean vector for mixed multiple quality characteristics. IIE Transactions 44:11, pages 1002-1021.
Read now
Read now
E. Canessa, S. Vera & H. Allende. (2012) A new method for estimating missing values for a genetic algorithm used in robust design. Engineering Optimization 44:7, pages 787-800.
Read now
Read now
Hsiu-Wen Chen, Weng
Kee Wong & Hongquan Xu. (2012) An augmented approach to the desirability function. Journal of Applied Statistics 39:3, pages 599-613.
Read now
Read now
Tatjana
V. Sibalija, Vidosav
D. Majstorovic & Zoran
D. Miljkovic. (2011) An intelligent approach to robust multi-response process design. International Journal of Production Research 49:17, pages 5079-5097.
Read now
Read now
Myrta Rodríguez, Bradley Jones, Connie M. Borror & Douglas C. Montgomery. (2010) Generating and Assessing Exact G-Optimal Designs. Journal of Quality Technology 42:1, pages 3-20.
Read now
Read now
Pisvimol Chatsirirungruang & Masami Miyakawa. (2009) Application of genetic algorithm to numerical experiment in robust parameter design for signal multi-response problem. International Journal of Management Science and Engineering Management 4:1, pages 49-59.
Read now
Read now
Enrique Del Castillo, María Jesús Alvarez, Laura Ilzarbe & Elizabeth Viles. (2007) A New Design Criterion for Robust Parameter Experiments. Journal of Quality Technology 39:3, pages 279-295.
Read now
Read now
Yong Guo, James R. Simpson & Joseph J. Pignatiello$suffix/text()$suffix/text(). (2007) Construction of Efficient Mixed-Level Fractional Factorial Designs. Journal of Quality Technology 39:3, pages 241-257.
Read now
Read now
Articles from other publishers (81)
Mohamed Ali Rezgui, Ali Trabelsi, Nesrine Barbana, Adel Ben Youssef & Mohammad Al-Addous. (2024) Static Robust Design Optimization Using the Stochastic Frontier Method: A Case Study of Pulsed EPD Process on TiO2 Films. Inventions 9:2, pages 31.
Crossref
Crossref
Javad Rafiei, Mahsa Soheil Shamaee & Ahmad Reza Ghasemi. (2024) Process parameter optimization of WC/Inconel 625 metal matrix composites laser cladding based on the Taguchi approach and NSGA-II algorithm. Soft Computing.
Crossref
Crossref
Anto Susaimanickam, Premalatha Manickam & Amalanathan Arputhasamy Joseph. (2023) A Comprehensive Review on RSM-Coupled Optimization Techniques and Its Applications. Archives of Computational Methods in Engineering 30:8, pages 4831-4853.
Crossref
Crossref
Ronald Palandi Cardoso, José Salvador da Motta Reis, Dayana Elizabeth Werderits Silva, Maria da Glória Diniz De Almeida, José Glenio Medeiros De Barros & Nilo Antonio de Souza Sampaio. (2023) Scientific research trends about metaheuristics in process optimization and case study using the desirability function. Revista de Gestão e Secretariado (Management and Administrative Professional Review) 14:3, pages 3348-3367.
Crossref
Crossref
Pelin Akın. (2023) A new hybrid approach based on genetic algorithm and support vector machine methods for hyperparameter optimization in synthetic minority over-sampling technique (SMOTE). AIMS Mathematics 8:4, pages 9400-9415.
Crossref
Crossref
Abhinav Kumar Sharma, Indrajit Mukherjee, Sasadhar Bera & Raghu Nandan Sengupta. (2021)
A robust multiobjective solution approach for
mean-variance
optimisation of correlated multiple quality characteristics
. International Journal of Quality & Reliability Management 39:9, pages 2205-2232.
Crossref
Crossref
Shixin Huang, Xiaoyu Wan, Hang Qiu, Laquan Li & Haiyan Yu. (2022) Constrained optimization for stratified treatment rules with multiple responses of survival data. Information Sciences 596, pages 343-361.
Crossref
Crossref
Zhen Zhang, Shangyu Liu, Yuqiang Zhang, Chenchong Wang, Shiyu Zhang, Zenan Yang & Wei Xu. (2022) Optimization of low-power femtosecond laser trepan drilling by machine learning and a high-throughput multi-objective genetic algorithm. Optics & Laser Technology 148, pages 107688.
Crossref
Crossref
Weiwei Lin, Jiajun Wang, Bingyu Ren, Jia Yu, Xiaoling Wang & Tianhong Zhang. (2022) Robust optimization of rolling parameters of coarse aggregates based on improved response surface method using satisfaction function method based on entropy and adaptive chaotic gray wolf optimization. Construction and Building Materials 316, pages 125839.
Crossref
Crossref
Sarah E. Burke, Douglas C. Montgomery, Christine M. Anderson‐Cook, Rachel T. Silvestrini & Connie M. Borror. (2021) Optimal designs for dual response systems for the normal and binomial case. Quality and Reliability Engineering International 37:7, pages 3034-3054.
Crossref
Crossref
Ayrton Alef Castanheira Pereira, Carlos Alberto Castañeda Olivera, Antonio Gutiérrez Merma, Ronald Rojas Hacha, Brunno Ferreira dos Santos & Maurício Leonardo Torem. (2021) Mineral bioflotation optimization: Comparison between artificial neural networks and response surface methodology. Minerals Engineering 169, pages 106983.
Crossref
Crossref
Rachel Campos Sabioni, Joanna Daaboul & Julien Le Duigou. (2021) An integrated approach to optimize the configuration of mass-customized products and reconfigurable manufacturing systems. The International Journal of Advanced Manufacturing Technology 115:1-2, pages 141-163.
Crossref
Crossref
Carmelo J. Luis Pérez. (2021) On the Application of a Design of Experiments along with an ANFIS and a Desirability Function to Model Response Variables. Symmetry 13:5, pages 897.
Crossref
Crossref
Yongsheng Du, Mingming Lu, Hao Wang, Jiakang Zhou & Jieqiong Lin. (2021) Parameter tuning of robust adaptive fuzzy controller for 3D elliptical vibration-assisted cutting. Mechanical Sciences 12:1, pages 433-442.
Crossref
Crossref
Velibor Marinković. (2021) Some applications of a novel desirability function in simultaneous optimization of multiple responses. FME Transactions 49:3, pages 534-548.
Crossref
Crossref
Armando Mares Castro & Jorge Domínguez Domínguez. 2021. Techniques, Tools and Methodologies Applied to Quality Assurance in Manufacturing. Techniques, Tools and Methodologies Applied to Quality Assurance in Manufacturing
203
228
.
Selahaddin Batuhan Akben. (2020)
A novel
multi‐objective
optimization method: Input values effect on responses (IVER)
. International Journal for Numerical Methods in Engineering 121:24, pages 5590-5599.
Crossref
Crossref
G Naresh, Vengatesan Subramanian, M Palanivendhan, K Devanathan, Thanesh Prasath, Dhinesh & V Logesh. (2020) Reducing circularity error by optimizing the Operating parameters in Fused deposition modeling using Genetic Algorithm. IOP Conference Series: Materials Science and Engineering 993:1, pages 012151.
Crossref
Crossref
Abolghasem Sadeghi-Niaraki, Ozgur Kisi & Soo-Mi Choi. (2020) Spatial modeling of long-term air temperatures for sustainability: evolutionary fuzzy approach and neuro-fuzzy methods. PeerJ 8, pages e8882.
Crossref
Crossref
Taynara Incerti de Paula, Guilherme Ferreira Gomes, José Henrique de Freitas Gomes & Anderson Paulo de Paiva. 2020. Optimization of Complex Systems: Theory, Models, Algorithms and Applications. Optimization of Complex Systems: Theory, Models, Algorithms and Applications
600
610
.
Maria Beatriz Takahashi, Henrique Coelho de Oliveira, Eutimio Gustavo Fernández Núñez & José Celso Rocha. (2019) Brewing process optimization by artificial neural network and evolutionary algorithm approach. Journal of Food Process Engineering 42:5.
Crossref
Crossref
Issam A.R. Moughrabi & Saeed Askary. (2019) New Dual Parameter Quasi-Newton Methods for Unconstrained Nonlinear Programs. International Journal of Strategic Decision Sciences 10:3, pages 74-94.
Crossref
Crossref
Snehasis Chakraborty & Chandrima Shrivastava. (2019) Comparison between multiresponse‐robust process design and numerical optimization: A case study on baking of fermented chickpea flour‐based wheat bread. Journal of Food Process Engineering 42:3.
Crossref
Crossref
Marcos Almeida Bezerra, Sérgio Luis Costa Ferreira, Cleber Galvão Novaes, Ana Maria Pinto dos Santos, Gisseli Souza Valasques, Uillian Mozart Ferreira da Mata Cerqueira & Juscelia Pereira dos Santos Alves. (2019) Simultaneous optimization of multiple responses and its application in Analytical Chemistry – A review. Talanta 194, pages 941-959.
Crossref
Crossref
Farbod Amiri, Babak Shirazi & Ali Tajdin. (2019) Multi-objective simulation optimization for uncertain resource assignment and job sequence in automated flexible job shop. Applied Soft Computing 75, pages 190-202.
Crossref
Crossref
Özlem KUVAT. (2018) BİR PAKET GIDA ÜRETİM İŞLETMESİNDE TAGUCHİ PARAMETRE TASARIMI İLE ÇOK YANITLI ENİYİLEME. Uludağ University Journal of The Faculty of Engineering 23:3, pages 215-236.
Crossref
Crossref
Cem Savas Aydin, Senim Ozgurler, Mehmet Bulent Durmusoglu & Mesut Ozgurler. (2018) Response surface approach to robust design of assembly cells through simulation. Assembly Automation 38:4, pages 450-464.
Crossref
Crossref
Sasadhar Bera & Indrajit Mukherjee. (2018) A Solution Framework for Response Surface-Based Multiple Quality Characteristics Optimization. International Journal of Reliability, Quality and Safety Engineering 25:05, pages 1850025.
Crossref
Crossref
Jorge Limon-Romero, Guilherme Luz-Tortorella, Cesar Puente, José María Moreno-Jiménez & Marco Maciel-Monteon. 2018. New Perspectives on Applied Industrial Tools and Techniques. New Perspectives on Applied Industrial Tools and Techniques
111
128
.
Enrique Canessa & Sergio Chaigneau. (2017) Response surface methodology for estimating missing values in a pareto genetic algorithm used in parameter design. Ingeniería e Investigación 37:2, pages 89-98.
Crossref
Crossref
Suyi Li & Wenjia Wang. (2016) A general framework for multiple responses optimization based on Bayesian posterior predictive method. A general framework for multiple responses optimization based on Bayesian posterior predictive method.
Nuno Ricardo Costa & João Lourenço. (2015) Gaussian Process Model – An Exploratory Study in the Response Surface Methodology. Quality and Reliability Engineering International 32:7, pages 2367-2380.
Crossref
Crossref
Manu Srivastava, Sachin Maheshwari, T.K. Kundra & Sandeep Rathee. (2016) An Integrated RSM-GA Based Approach for Multi Response Optimization of FDM Process Parameters for Pyramidal ABS Primitives. Journal for Manufacturing Science and Production 16:3, pages 201-208.
Crossref
Crossref
Jianjun Wang, Yizhong Ma, Linhan Ouyang & Yiliu Tu. (2016) A new Bayesian approach to multi-response surface optimization integrating loss function with posterior probability. European Journal of Operational Research 249:1, pages 231-237.
Crossref
Crossref
Tatjana V. Šibalija & Vidosav D. MajstorovićTatjana V. Šibalija & Vidosav D. Majstorović. 2016. Advanced Multiresponse Process Optimisation. Advanced Multiresponse Process Optimisation
261
283
.
Tatjana V. Šibalija & Vidosav D. MajstorovićTatjana V. Šibalija & Vidosav D. Majstorović. 2016. Advanced Multiresponse Process Optimisation. Advanced Multiresponse Process Optimisation
65
164
.
Tatjana V. Šibalija & Vidosav D. MajstorovićTatjana V. Šibalija & Vidosav D. Majstorović. 2016. Advanced Multiresponse Process Optimisation. Advanced Multiresponse Process Optimisation
21
63
.
Tatjana V. Šibalija & Vidosav D. MajstorovićTatjana V. Šibalija & Vidosav D. Majstorović. 2016. Advanced Multiresponse Process Optimisation. Advanced Multiresponse Process Optimisation
1
20
.
Francesco Adamo, Rossella Berni, Attilio Di Nisio, Valeria L. Scarano & Maurizio Spadavecchia. (2015) Optimization of ADC Channels of A Smart Energy Meter Including Random Noise Effects. Quality and Reliability Engineering International 31:7, pages 1209-1222.
Crossref
Crossref
Zhou Shengnan & Wang Jianjun. (2015) Multi-response robust design based on improved desirability function. Multi-response robust design based on improved desirability function.
Enrique Canessa-Terrazas & Héctor Allende-Olivares. (2015) Performance of a Genetic Algorithm applied to robust design in multiobjective systems under different levels of fractioning. Revista Facultad de Ingeniería Universidad de Antioquia:75.
Crossref
Crossref
John Noguera & Jon Breslaw. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online
1
5
.
Rassoul Noorossana, Amineh Zadbood, Faramak Zandi & Kazem Noghondarian. (2014) An interactive artificial neural networks approach to multiresponse optimization. The International Journal of Advanced Manufacturing Technology 76:5-8, pages 765-777.
Crossref
Crossref
Seyed Hamid Reza Pasandideh, Seyed Taghi Akhavan Niaki & Seyed Mahdi Atyabi. (2014) A new approach to solve multi-response statistical optimization problems using neural network, genetic algorithm, and goal attainment methods. The International Journal of Advanced Manufacturing Technology 75:5-8, pages 1149-1162.
Crossref
Crossref
Samia Siddique, Rubina Nelofer, Quratulain Syed, Ahmad Adnan & Fahim Ashraf Qureshi. (2014) Optimization for the enhanced production of avermectin B1b from Streptomyces avermitilis DSM 41445 using artificial neural network. Journal of the Korean Society for Applied Biological Chemistry 57:5, pages 677-683.
Crossref
Crossref
John Noguera. 2014. Wiley StatsRef: Statistics Reference Online. Wiley StatsRef: Statistics Reference Online.
Enrique Canessa, Gabriel Bielenberg & Héctor Allende. (2014) Robust Design in Multiobjective Systems using Taguchi’s Parameter Design Approach and a Pareto Genetic Algorithm. Revista Facultad de Ingeniería Universidad de Antioquia:72, pages 73-86.
Crossref
Crossref
María Blanca Becerra-Rodríguez, Jorge Domínguez-Domínguez, Roberto Zitzumbo-Guzmán & Jorge Luis García-Alcaraz. 2014. Lean Manufacturing in the Developing World. Lean Manufacturing in the Developing World
543
561
.
Mahdi Bashiri, Amir Farshbaf-Geranmayeh & Hamed Mogouie. (2013) A neuro-data envelopment analysis approach for optimization of uncorrelated multiple response problems with smaller the better type controllable factors. Journal of Industrial Engineering International 9:1.
Crossref
Crossref
Wen Wan & Jeffrey B. Birch. (2013) An Improved Hybrid Genetic Algorithm with a New Local Search Procedure. Journal of Applied Mathematics 2013, pages 1-10.
Crossref
Crossref
Amirhossein Amiri, Mahdi Bashiri, Hamed Mogouie & Mohammad Hadi Doroudyan. (2012) Non-normal multi-response optimization by multivariate process capability index. Scientia Iranica 19:6, pages 1894-1905.
Crossref
Crossref
Hung-Chun Lin, Chao-Ton Su, Chi-Ching Wang, Bing-Hung Chang & Rei-Cheng Juang. (2012) Parameter optimization of continuous sputtering process based on Taguchi methods, neural networks, desirability function, and genetic algorithms. Expert Systems with Applications 39:17, pages 12918-12925.
Crossref
Crossref
Nuno Ricardo Costa, João Lourenço & Zulema Lopes Pereira. (2011) Multiresponse Optimization and Pareto Frontiers. Quality and Reliability Engineering International 28:7, pages 701-712.
Crossref
Crossref
Tatjana V. Sibalija & Vidosav D. Majstorovic. (2010) An integrated approach to optimise parameter design of multi-response processes based on Taguchi method and artificial intelligence. Journal of Intelligent Manufacturing 23:5, pages 1511-1528.
Crossref
Crossref
Ali Salmasnia, Reza Baradaran Kazemzadeh & Seyed Taghi Akhavan Niaki. (2011) An approach to optimize correlated multiple responses using principal component analysis and desirability function. The International Journal of Advanced Manufacturing Technology 62:5-8, pages 835-846.
Crossref
Crossref
P.L. Goethals & B.R. Cho. (2012) The optimal process mean problem: Integrating predictability and profitability into an experimental factor space. Computers & Industrial Engineering 62:4, pages 851-869.
Crossref
Crossref
Enrique Canessa, Christian Droop & Hector Allende. (2011) An improved genetic algorithm for robust design in multivariate systems. Quality & Quantity 46:2, pages 665-678.
Crossref
Crossref
Amineh Zadbood & Kazem Noghondarian. (2012) Multiple Response Surface Optimization Considering the Decision Maker’s Preference Information. Advanced Materials Research 433-440, pages 1646-1652.
Crossref
Crossref
Chengcui Zhang, Liping Zhou, Wen Wan, Jeffrey Birch & Wei-Bang Chen. 2012. Methods and Innovations for Multimedia Database Content Management. Methods and Innovations for Multimedia Database Content Management
62
80
.
Paul L. Goethals & Byung Rae Cho. (2011) Reverse programming the optimal process mean problem to identify a factor space profile. European Journal of Operational Research 215:1, pages 204-217.
Crossref
Crossref
Paul L. Goethals & Byung Rae Cho. (2011) Using higher precision-based response surface designs to determine the optimal process target. The International Journal of Advanced Manufacturing Technology 56:1-4, pages 13-30.
Crossref
Crossref
Nuno R. Costa, João Lourenço & Zulema L. Pereira. (2011) Desirability function approach: A review and performance evaluation in adverse conditions. Chemometrics and Intelligent Laboratory Systems 107:2, pages 234-244.
Crossref
Crossref
Tatjana V. Sibalija, Sanja Z. Petronic, Vidosav D. Majstorovic, Radica Prokic-Cvetkovic & Andjelka Milosavljevic. (2010) Multi-response design of Nd:YAG laser drilling of Ni-based superalloy sheets using Taguchi’s quality loss function, multivariate statistical methods and artificial intelligence. The International Journal of Advanced Manufacturing Technology 54:5-8, pages 537-552.
Crossref
Crossref
Saeid Fallah-Jamshidi, Maghsoud Amiri & Neda Karimi. (2010) Nonlinear continuous multi-response problems: a novel two-phase hybrid genetic based metaheuristic. Applied Soft Computing 10:4, pages 1274-1283.
Crossref
Crossref
Nuno Ricardo Costa & Zulema Lopes Pereira. (2010) Multiple response optimization: a global criterion‐based method. Journal of Chemometrics 24:6, pages 333-342.
Crossref
Crossref
Pisvimol Chatsirirungruang. (2009) Application of genetic algorithm and Taguchi method in dynamic robust parameter design for unknown problems. The International Journal of Advanced Manufacturing Technology 47:9-12, pages 993-1002.
Crossref
Crossref
Hector Allende, Daniela Bravo & Enrique Canessa. (2008) Robust design in multivariate systems using genetic algorithms. Quality & Quantity 44:2, pages 315-332.
Crossref
Crossref
Chengcui Zhang, Liping Zhou, Wen Wan, Jeffrey Birch & Wei-Bang Chen. (2010) An Image Clustering and Feedback-based Retrieval Framework. International Journal of Multimedia Data Engineering and Management 1:1, pages 55-74.
Crossref
Crossref
Hoi-Ming Chi, Herbert Moskowitz, Okan K. Ersoy, Kemal Altinkemer, Peter F. Gavin, Bret E. Huff & Bernard A. Olsen. (2009) Machine learning and genetic algorithms in pharmaceutical development and manufacturing processes. Decision Support Systems 48:1, pages 69-80.
Crossref
Crossref
Myrta Rodriguez, Douglas C. Montgomery & Connie M. Borror. (2009) Generating experimental designs involving control and noise variables using genetic algorithms. Quality and Reliability Engineering International 25:8, pages 1045-1065.
Crossref
Crossref
R. Noorossana, Sam Davanloo Tajbakhsh & A. Saghaei. (2008) An artificial neural network approach to multiple-response optimization. The International Journal of Advanced Manufacturing Technology 40:11-12, pages 1227-1238.
Crossref
Crossref
George J. Besseris. (2008) Product Screening to Multicustomer Preferences: Multiresponse Unreplicated Nested Super-ranking. International Journal of Quality, Statistics, and Reliability 2008, pages 1-16.
Crossref
Crossref
Flávio Sanson Fogliatto. (2008) Otimização de experimentos com variáveis de resposta descritas por perfis. Pesquisa Operacional 28:3, pages 577-595.
Crossref
Crossref
Flavio S. Fogliatto. (2008) Multiresponse optimization of products with functional quality characteristics. Quality and Reliability Engineering International 24:8, pages 927-939.
Crossref
Crossref
K. Tahera, W. M. Chan & R. N. Ibrahim. (2007) Joint determination of process mean and production run: A review. The International Journal of Advanced Manufacturing Technology 39:3-4, pages 388-400.
Crossref
Crossref
John Noguera. 2007. Encyclopedia of Statistics in Quality and Reliability. Encyclopedia of Statistics in Quality and Reliability.
Hoi-Ming Chi, Okan K. Ersoy, Herbert Moskowitz & Jim Ward. (2007) Modeling and optimizing a vendor managed replenishment system using machine learning and genetic algorithms. European Journal of Operational Research 180:1, pages 174-193.
Crossref
Crossref
Francisco Aparisi & J. Carlos García-Díaz. (2007) Design and optimization of EWMA control charts for in-control, indifference, and out-of-control regions. Computers & Operations Research 34:7, pages 2096-2108.
Crossref
Crossref
Hoi-Ming Chi, Okan K. Ersoy, Herbert Moskowitz & Kemal Altinkemer. (2007) Toward Automated Intelligent Manufacturing Systems (AIMS). INFORMS Journal on Computing 19:2, pages 302-312.
Crossref
Crossref
Abhyuday Mandal, Kjell Johnson, C. F. Jeff Wu & Dirk Bornemeier. (2007) Identifying Promising Compounds in Drug Discovery: Genetic Algorithms and Some New Statistical Techniques. Journal of Chemical Information and Modeling 47:3, pages 981-988.
Crossref
Crossref
Nuno R.P. Costa, António R. Pires & Celma O. Ribeiro. (2006) Guidelines to help practitioners of design of experiments. The TQM Magazine 18:4, pages 386-399.
Crossref
Crossref