362
Views
126
CrossRef citations to date
0
Altmetric
Original Articles

Applications of neural networks in manufacturing: a state-of-the-art survey

&
Pages 705-728 | Received 01 Jan 1994, Published online: 03 May 2007

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (17)

Dhruv Patel, Chandan Kumar Sahu & Rahul Rai. (2024) Security in modern manufacturing systems: integrating blockchain in artificial intelligence-assisted manufacturing. International Journal of Production Research 62:3, pages 1041-1071.
Read now
Dillip Kumar Mohanta, Bidyadhar Sahoo & Ardhendu Mouli Mohanty. (2023) Optimization of process parameter in AI7075 turning using grey relational, desirability function and metaheuristics. Materials and Manufacturing Processes 38:12, pages 1615-1625.
Read now
Lin Lin & Mitsuo Gen. (2018) Hybrid evolutionary optimisation with learning for production scheduling: state-of-the-art survey on algorithms and applications. International Journal of Production Research 56:1-2, pages 193-223.
Read now
Afrooz Moatari-Kazerouni, Yuvin Chinniah & Bruno Agard. (2015) Integrating occupational health and safety in facility layout planning, part I: methodology. International Journal of Production Research 53:11, pages 3243-3259.
Read now
Sudipta Sikdar & Indrajit Mukherjee. (2011) A Holistic Framework for Multiple Response Optimization of Hot Strip Rolling Process. Materials and Manufacturing Processes 26:11, pages 1393-1403.
Read now
S. Srinoi, K. Kanchiang, W. Laosiritaworn, R. Yimnirun & Y. Laosiritaworn. (2011) Ferroic Hysteresis Modeling. Integrated Ferroelectrics 131:1, pages 202-218.
Read now
M. Vasudevan. (2009) Soft Computing Techniques in Stainless Steel Welding. Materials and Manufacturing Processes 24:2, pages 209-218.
Read now
Dattatray M. Pendse & Suhas S. Joshi. (2004) Modeling and Optimization of Machining Process in Discontinuously Reinforced Aluminium Matrix Composites. Machining Science and Technology 8:1, pages 85-102.
Read now
A. De, J. Jantre & P.K. Ghosh. (2004) Prediction of weld quality in pulsed current GMAW process using artificial neural network. Science and Technology of Welding and Joining 9:3, pages 253-259.
Read now
T Çakar & I Cil. (2004) Artificial neural networks for design of manufacturing systems and selection of priority rules. International Journal of Computer Integrated Manufacturing 17:3, pages 195-211.
Read now
CHANG-XUE JACK FENG & XIAN-FENG (DAVID) WANG. (2004) Data mining techniques applied to predictive modeling of the knurling process. IIE Transactions 36:3, pages 253-263.
Read now
S. Park & N. C. Suresh. (2003) Performance of Fuzzy ART neural network and hierarchical clustering for part-machine grouping based on operation sequences. International Journal of Production Research 41:14, pages 3185-3216.
Read now
Ihsan Sabuncuoglu & Souheyl Touhami. (2002) Simulation metamodelling with neural networks: An experimental investigation. International Journal of Production Research 40:11, pages 2483-2505.
Read now
Mu-Chen Chen & Taho Yang. (2002) Design of manufacturing systems by a hybrid approach with neural network metamodelling and stochastic local search. International Journal of Production Research 40:1, pages 71-92.
Read now
LuizaV. Dihoru, LyndonN. Smith, Radu Orban & RandallM. German. (2000) Experimental Study and Neural Network Modeling of the Stability of Powder Injection Molding Feedstocks. Materials and Manufacturing Processes 15:3, pages 419-438.
Read now
SARAHS.Y. LAM, KIMBERLYL. PETRI & ALICEE. SMITH. (2000) Prediction and optimization of a ceramic casting process using a hierarchical hybrid system of neural networks and fuzzy logic. IIE Transactions 32:1, pages 83-91.
Read now

Articles from other publishers (109)

Youming Xin, Zunshui Cheng, Jinde Cao, Leszek Rutkowski & Yaning Wang. (2024) Circuit Implementation and Quasi-Stabilization of Delayed Inertial Memristor-Based Neural Networks. IEEE Transactions on Neural Networks and Learning Systems 35:1, pages 1394-1400.
Crossref
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh & Mazdak Maghanaki. (2024) Deploying deep convolutional neural network to the battle against cancer: Towards flexible healthcare systems. Informatics in Medicine Unlocked 47, pages 101494.
Crossref
Marcel Panzer & Norbert Gronau. (2023) Designing an adaptive and deep learning based control framework for modular production systems. Journal of Intelligent Manufacturing.
Crossref
Mohammad Shahin, F. Frank Chen, Ali Hosseinzadeh, Hamid Khodadadi Koodiani, Awni Shahin & Omar Ali Nafi. (2023) A smartphone-based application for an early skin disease prognosis: Towards a lean healthcare system via computer-based vision. Advanced Engineering Informatics 57, pages 102036.
Crossref
Pravat Rabi Naskar & Somnath Naskar. (2023) The most suitable mode decomposition technique for machine learning in meteorological time series prediction. Journal of Earth System Science 132:2.
Crossref
Syed Asif Raza, Srikrishna Madhumohan Govindaluri & Mohammed Khurrum Bhutta. (2022) Research themes in machine learning applications in supply chain management using bibliometric analysis tools. Benchmarking: An International Journal 30:3, pages 834-867.
Crossref
PoTsang B. Huang, Maria Magdalena Wahyuni Inderawati, Rohmat Rohmat & Ronald Sukwadi. (2023) The development of an ANN surface roughness prediction system of multiple materials in CNC turning. The International Journal of Advanced Manufacturing Technology 125:3-4, pages 1193-1211.
Crossref
Guoliang Yang, Gaohao Zhou, Changyuan Wang, Jing Mu, Zhenhu Yang, Yuan Li & Junhong Su. (2023) A scalable thin-film defect quantify model under imbalanced regression and classification task based on computer vision. Heliyon 9:2, pages e13701.
Crossref
S. S. Pande & T. S. Suneel. (2023) INTELLIGENT CNC TURNING USING ARTIFICIAL NEURAL NETWORKS. INTELLIGENT CNC TURNING USING ARTIFICIAL NEURAL NETWORKS.
Sachin Kumar, T. Gopi, N. Harikeerthana, Munish Kumar Gupta, Vidit Gaur, Grzegorz M. Krolczyk & ChuanSong Wu. (2022) Machine learning techniques in additive manufacturing: a state of the art review on design, processes and production control. Journal of Intelligent Manufacturing 34:1, pages 21-55.
Crossref
K. Sai Vijaya Lakshmi & Ponnuru Sowjanya. 2023. Advances in Data and Information Sciences. Advances in Data and Information Sciences 505 514 .
Diego Ortega Sanz, Carlos Quiterio Gómez Muñoz, Guillermo Benéitez & Fausto Pedro García Márquez. 2023. Sustainability. Sustainability 99 117 .
Marcel Panzer, Benedict Bender & Norbert Gronau. (2022) Neural agent-based production planning and control: An architectural review. Journal of Manufacturing Systems 65, pages 743-766.
Crossref
Yu Cai, Jiahao Wu & Muhammad Zaheer. (2022) Analysis the Research Hotspots and Key Technical of Intelligent Manufacturing. Analysis the Research Hotspots and Key Technical of Intelligent Manufacturing.
Steven Walczak. 2022. Research Anthology on Artificial Neural Network Applications. Research Anthology on Artificial Neural Network Applications 68 84 .
Pranav H. Panicker, Amit A. Deshmukh & Sunil H. Karamchandani. 2022. Proceedings of International Conference on Wireless Communication. Proceedings of International Conference on Wireless Communication 303 312 .
Bianca Maria Colosimo & Fabio Centofanti. 2022. Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches. Interpretability for Industry 4.0 : Statistical and Machine Learning Approaches 21 36 .
Diego Ortega Sanz, Carlos Quiterio Gómez Muñoz & Fausto Pedro García Márquez. 2022. Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1. Proceedings of the Sixteenth International Conference on Management Science and Engineering Management – Volume 1 400 413 .
A Volkov & O Varlamov. (2021) Method of creation of a two-level neural network structure for solving problems in mechanical engineering. Journal of Physics: Conference Series 2131:3, pages 032003.
Crossref
Baicun Wang, Fei Tao, Xudong Fang, Chao Liu, Yufei Liu & Theodor Freiheit. (2021) Smart Manufacturing and Intelligent Manufacturing: A Comparative Review. Engineering 7:6, pages 738-757.
Crossref
Luis Fernando Villanueva-Jimenez, Jose Antonio Vazquez-Lopez, Javier Yanez-Mendiola, Valentin Calzada-Ledesma & Juan De Anda-Suarez. (2021) Decision-Making System Based on a Fuzzy Hierarchical Analysis Process and an Artificial Neural Network for Flow Shop Machine Scheduling Model Under Uncertainty. IEEE Access 9, pages 104059-104069.
Crossref
Uma Maheshwera Reddy Paturi & Suryapavan Cheruku. (2021) Application and performance of machine learning techniques in manufacturing sector from the past two decades: A review. Materials Today: Proceedings 38, pages 2392-2401.
Crossref
Jorge F. Arinez, Qing Chang, Robert X. Gao, Chengying Xu & Jianjing Zhang. (2020) Artificial Intelligence in Advanced Manufacturing: Current Status and Future Outlook. Journal of Manufacturing Science and Engineering 142:11.
Crossref
İbrahim TOPAL. (2020) Estimation With Artificial Neural Network on Electronic Word of Mouth: Opinion SearchingEstimation With Artificial Neural Network on Electronic Word of Mouth: Opinion Searching. Yönetim Bilimleri Dergisi 18:35, pages 183-207.
Crossref
Manjunath Patel G. C.Ganesh R. Chate, Mahesh B. Parappagoudar & Kapil GuptaManjunath Patel G. C.Ganesh R. Chate, Mahesh B. Parappagoudar & Kapil Gupta. 2020. Machining of Hard Materials. Machining of Hard Materials 73 102 .
Chao-Ton Su, Feng-Min Su, Tzu-Yu Chen & Li-Fei Chen. (2019) Enhancing the Structural Strength of an ODD Laptop via Six Sigma Approach. IEEE Transactions on Components, Packaging and Manufacturing Technology 9:11, pages 2200-2209.
Crossref
Javier Arellano-Verdejo, Hugo E. Lazcano-Hernandez & Nancy Cabanillas-Terán. (2019) ERISNet: deep neural network for Sargassum detection along the coastline of the Mexican Caribbean . PeerJ 7, pages e6842.
Crossref
Parisa Rahmani, Hamid Haj Seyyed Javadi, Hamidreza Bakhshi & Mehdi Hosseinzadeh. (2018) Cog-MAC Protocol: Channel Allocation in Cognitive Ad Hoc Networks Based on the Game of Learning Automata. Wireless Personal Communications 103:3, pages 2285-2316.
Crossref
Steven Walczak. (2018) Artificial Neural Network Research in Online Social Networks. International Journal of Virtual Communities and Social Networking 10:4, pages 1-15.
Crossref
Masoud Mahmoodi & Ali Naderi. (2016) Applicability of Artificial Neural Network and Nonlinear Regression to Predict Mechanical Properties of Equal Channel Angular Rolled Al5083 Sheets. Latin American Journal of Solids and Structures 13:8, pages 1515-1525.
Crossref
Z. F. Wu, Jin Li, M. Y. Cai, Y. Lin & W. J. Zhang. (2016) On membership of black-box or white-box of artificial neural network models. On membership of black-box or white-box of artificial neural network models.
Ahmed Ghazi Jerniti, Abderazzak El Ouafi & Noureddine Barka. (2016) A Predictive Modeling Based on Regression and Artificial Neural Network Analysis of Laser Transformation Hardening for Cylindrical Steel Workpieces. Journal of Surface Engineered Materials and Advanced Technology 06:04, pages 149-163.
Crossref
Rajkamal Kesharwani, Cihan Dagli & Zeyi Sun. (2016) Application of Neural Network in Shop Floor Quality Control in a Make to Order Business. Procedia Computer Science 95, pages 209-216.
Crossref
Stephen Johnston, Christopher McCready, Daniel Hazen, Darin VanDerwalker & David Kazmer. (2015) On‐line multivariate optimization of injection molding. Polymer Engineering & Science 55:12, pages 2743-2750.
Crossref
Banu Çaliş & Serol Bulkan. (2013) A research survey: review of AI solution strategies of job shop scheduling problem. Journal of Intelligent Manufacturing 26:5, pages 961-973.
Crossref
Yaroslav Shepilov, Daria Pavlova, Daria Kazanskaia & Valerii Novikov. (2015) Multithreading MAS for real time scheduling. Multithreading MAS for real time scheduling.
Wimalin Laosiritaworn. 2015. Progress in Systems Engineering. Progress in Systems Engineering 221 226 .
Andrew Kusiak, Guanglin Xu & Zijun Zhang. (2014) Minimization of energy consumption in HVAC systems with data-driven models and an interior-point method. Energy Conversion and Management 85, pages 146-153.
Crossref
Haoming Zhong, Chunyan Miao, Zhiqi Shen & Yuhong Feng. (2014) Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings. Neurocomputing 128, pages 285-295.
Crossref
Atiya Al-Zuheri, Lee Luong & Ke Xing. 2014. Smart Manufacturing Innovation and Transformation. Smart Manufacturing Innovation and Transformation 96 125 .
Wimalin Laosiritaworn & Yongyut Laosiritaworn. (2013) Artificial Neural Network modeling of spin-transition behavior in two-dimensional molecular magnet: The learning by experiences analysis. Polyhedron 66, pages 108-115.
Crossref
S. RATH, P. P. SENGUPTA, A. P. SINGH, A. K. MARIK & P. TALUKDAR. (2013) MATHEMATICAL-ARTIFICIAL NEURAL NETWORK HYBRID MODEL TO PREDICT ROLL FORCE DURING HOT ROLLING OF STEEL. International Journal of Computational Materials Science and Engineering 02:01, pages 1350004.
Crossref
Wimalin S. Laosiritaworn. (2012) Coil baking process modeling with neural network. Coil baking process modeling with neural network.
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
Chao-Ton Su, Yu-Hsiang Hsiao & Chia-Chin Chang. (2012) Parameter Optimization Design for Touch Panel Laser Cutting Process. IEEE Transactions on Automation Science and Engineering 9:2, pages 320-329.
Crossref
Heun-Sik Jeung & Hoo-Gon Choi. (2012) Particle swarm optimization in multi-stage operations for operation sequence and DT allocation. Computers & Industrial Engineering 62:2, pages 442-450.
Crossref
Indrajit Mukherjee & Srikanta Routroy. (2012) Comparing the performance of neural networks developed by using Levenberg–Marquardt and Quasi-Newton with the gradient descent algorithm for modelling a multiple response grinding process. Expert Systems with Applications 39:3, pages 2397-2407.
Crossref
Bo Di Cui. (2011) Experimental Investigation of Surface Roughness in High Speed Turning of Hardened AISI P20 Steel. Advanced Materials Research 418-420, pages 1228-1231.
Crossref
Esra AleisaNallan C Suresh & Li Lin. (2011) Team Formation in Concurrent Engineering Using Group Technology (GT) Concepts. Concurrent Engineering 19:3, pages 213-224.
Crossref
P. Thomas & A. Thomas. (2011) Multilayer perceptron for simulation models reduction: Application to a sawmill workshop. Engineering Applications of Artificial Intelligence 24:4, pages 646-657.
Crossref
Mohammad Reza Razfar, Reza Farshbaf Zinati & Mahdiar Haghshenas. (2010) Optimum surface roughness prediction in face milling by using neural network and harmony search algorithm. The International Journal of Advanced Manufacturing Technology 52:5-8, pages 487-495.
Crossref
Pushpendrai Singh Bharti, Sachin Maheshwari & Chitra Sharma. 2011. Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011 95 103 .
Hyun Wook Lee & Won Tae Kwon. (2010) Determination of the minute range for RSM to select the optimum cutting conditions during turning on CNC lathe. Journal of Mechanical Science and Technology 24:8, pages 1637-1645.
Crossref
G Poshal & P Ganesan. (2009) Neural network approach for the selection of processing parameters of aluminium—iron composite preforms during cold upsetting. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 224:3, pages 459-472.
Crossref
Govindarajalu Jayaprakash & Karuppan Sivakumar. (2010) Parametric Tolerance Analysis of Mechanical Assembly Using FEA and Cost Competent Tolerance Synthesis Using Neural Network. Journal of Software Engineering and Applications 03:12, pages 1148-1154.
Crossref
Govindarajalu Jayaprakash, Karuppan Sivakumar & Manoharan Thilak. (2010) Parametric Tolerance Analysis of Mechanical Assembly by Developing Direct Constraint Model in CAD and Cost Competent Tolerance Synthesis. Intelligent Control and Automation 01:01, pages 1-14.
Crossref
Ue-Pyng Wen, Kuen-Ming Lan & Hsu-Shih Shih. (2009) A review of Hopfield neural networks for solving mathematical programming problems. European Journal of Operational Research 198:3, pages 675-687.
Crossref
Indrajit Mukherjee & Pradip Kumar Ray. (2009) A case-based and practical approach for multivariate modeling of grinding process. The International Journal of Advanced Manufacturing Technology 45:3-4, pages 245-260.
Crossref
Bo Di Cui & Jian Liang Guo. (2009) Modeling of Dimensional Errors in Slender Bar Turning Process Using Artificial Neural Networks. Applied Mechanics and Materials 16-19, pages 549-553.
Crossref
Z.A. Banaszak, M.B. Zaremba & W. Muszyński. (2009) Constraint programming for project-driven manufacturing. International Journal of Production Economics 120:2, pages 463-475.
Crossref
Cui Bodi & Li Yingjian. (2009) Optimization of multi-pass turning of slender bar using artificial neural networks and genetic algorithm. Optimization of multi-pass turning of slender bar using artificial neural networks and genetic algorithm.
Mukta Paliwal & Usha A. Kumar. (2009) Neural networks and statistical techniques: A review of applications. Expert Systems with Applications 36:1, pages 2-17.
Crossref
Godfrey Onwubolu. 2009. Hybrid Self-Organizing Modeling Systems. Hybrid Self-Organizing Modeling Systems 1 26 .
Bodi Cui & Rongdi Han. (2008) Modeling of dimensional errors in slender bar turning using artificial neural networks. Modeling of dimensional errors in slender bar turning using artificial neural networks.
Taohong Zhang, Tianyuan Xiao & Bingru Yang. (2007) The process simulation of virtual laser surface hardening. The International Journal of Advanced Manufacturing Technology 37:7-8, pages 690-697.
Crossref
D T Pham & A A Afify. (2016) Clustering techniques and their applications in engineering. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 221:11, pages 1445-1459.
Crossref
K L Choy, K H Tan & F T S Chan. (2007) Design of an Intelligent Supplier Knowledge Management System - An Integrative Approach. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 221:2, pages 195-211.
Crossref
Saleh M. Amaitik & S. Engin Kiliç. (2006) An intelligent process planning system for prismatic parts using STEP features. The International Journal of Advanced Manufacturing Technology 31:9-10, pages 978-993.
Crossref
Rongdi Han, Bodi Cui & Jianliang Guo. 2007. Computer Supported Cooperative Work in Design III. Computer Supported Cooperative Work in Design III 277 286 .
Amel Yahyaoui & Farhat Fnaiech. (2006) Recent Trends in Intelligent Job Shop Scheduling. Recent Trends in Intelligent Job Shop Scheduling.
Y.-C. Su, M.-H. Hung, F.-T. Cheng & Y.-T. Chen. (2006) A Processing Quality Prognostics Scheme for Plasma Sputtering in TFT-LCD Manufacturing. IEEE Transactions on Semiconductor Manufacturing 19:2, pages 183-194.
Crossref
Y.-C. Su, F.-T. Cheng, M.-H. Hung & H.-C. Huang. (2006) Intelligent Prognostics System Design and Implementation. IEEE Transactions on Semiconductor Manufacturing 19:2, pages 195-207.
Crossref
Indrajit Mukherjee & Pradip Kumar Ray. (2006) A review of optimization techniques in metal cutting processes. Computers & Industrial Engineering 50:1-2, pages 15-34.
Crossref
Anurag Agarwal, Varghese S. Jacob & Hasan Pirkul. (2006) An Improved Augmented Neural-Network Approach for Scheduling Problems. INFORMS Journal on Computing 18:1, pages 119-128.
Crossref
Amit Kumar Gupta & Appa Iyer Sivakumar. (2004) Job shop scheduling techniques in semiconductor manufacturing. The International Journal of Advanced Manufacturing Technology 27:11-12, pages 1163-1169.
Crossref
Brian J. Taylor & James T. Smith. 2006. Methods and Procedures for the Verification and Validation of Artificial Neural Networks. Methods and Procedures for the Verification and Validation of Artificial Neural Networks 51 95 .
Wimalin Sukthomya & James Tannock. (2005) The optimisation of neural network parameters using Taguchi’s design of experiments approach: an application in manufacturing process modelling. Neural Computing and Applications 14:4, pages 337-344.
Crossref
James J. Govindhasamy, Seán F. McLoone, George W. Irwin, John J. French & Richard P. Doyle. (2005) Neural modelling, control and optimisation of an industrial grinding process. Control Engineering Practice 13:10, pages 1243-1258.
Crossref
Tarik Cakar, Mehmet Bayram Yildirim & Mehmet Barut. (2005) A neuro-genetic approach to design and planning of a manufacturing cell. Journal of Intelligent Manufacturing 16:4-5, pages 453-462.
Crossref
Lyndon N. Smith & Melvyn L. Smith. (2005) Automatic machine vision calibration using statistical and neural network methods. Image and Vision Computing 23:10, pages 887-899.
Crossref
Xuan F. Zha. (2005) Soft computing in engineering design: a hybrid dual cross-mapping neural network model. Neural Computing and Applications 14:3, pages 176-188.
Crossref
Wimalin Sukthomya & James D.T. Tannock. (2005) Taguchi experimental design for manufacturing process optimisation using historical data and a neural network process model. International Journal of Quality & Reliability Management 22:5, pages 485-502.
Crossref
T. Radhakrishnan & Uday Nandan. (2005) Milling force prediction using regression and neural networks. Journal of Intelligent Manufacturing 16:1, pages 93-102.
Crossref
Wimalin Sukthomya & James Tannock. (2005) The training of neural networks to model manufacturing processes. Journal of Intelligent Manufacturing 16:1, pages 39-51.
Crossref
Yu-Chuan Su, Fan-Tien Cheng, Min-Hsiung Hung, Yen-Chang Lin & Rung-Chuan Lin. (2005) Design and implementation of an intelligent prognostics system. Design and implementation of an intelligent prognostics system.
Xuan F. Zha. 2005. Intelligent Knowledge-Based Systems. Intelligent Knowledge-Based Systems 1067 1123 .
Hsu-Shih Shih, Ue-Pyng Wen, S. Lee, Kuen-Ming Lan & Han-Chyi Hsiao. (2004) A neural network approach to multiobjective and multilevel programming problems. Computers & Mathematics with Applications 48:1-2, pages 95-108.
Crossref
Yu-Chuan Su, Fan-Tien Cheng, Guo-Wei Huang, Min-Hsiung Hung & Taho Yang. (2004) A quality prognostics scheme for semiconductor and TFT-LCD manufacturing processes. A quality prognostics scheme for semiconductor and TFT-LCD manufacturing processes.
Anurag Agarwal, Hasan Pirkul & Varghese S. Jacob. (2003) Augmented neural networks for task scheduling. European Journal of Operational Research 151:3, pages 481-502.
Crossref
Mu‐Chen Chen & Hsien‐Yu Tseng. (2003) An approach to design of maintenance float systems. Integrated Manufacturing Systems 14:5, pages 458-467.
Crossref
K.L Choy, W.B Lee & V Lo. (2003) Design of an intelligent supplier relationship management system: a hybrid case based neural network approach. Expert Systems with Applications 24:2, pages 225-237.
Crossref
T.S. Li, C.T. Su & T.L. Chiang. (2003) Applying robust multi-response quality engineering for parameter selection using a novel neural–genetic algorithm. Computers in Industry 50:1, pages 113-122.
Crossref
T.S Suneel, S.S Pande & P.P Date. (2002) A technical note on integrated product quality model using artificial neural networks. Journal of Materials Processing Technology 121:1, pages 77-86.
Crossref
Chao-Ton Su & Tai-Lin Chiang. (2002) Optimal design for a ball grid array wire bonding process using a neuro-genetic approach. IEEE Transactions on Electronics Packaging Manufacturing 25:1, pages 13-18.
Crossref
L.N. Smith, R.M. German & M.L. Smith. (2002) A neural network approach for solution of the inverse problem for selection of powder metallurgy materials. Journal of Materials Processing Technology 120:1-3, pages 419-425.
Crossref
Orhan Dengiz, Abdullah Konak, Sadan Kulturel-Konak, Alice E. Smith & Ian Nettleship. 2002. Adaptive Computing in Design and Manufacture V. Adaptive Computing in Design and Manufacture V 171 180 .
S.L. Ho, M. Xie, L.C. Tang, K. Xu & T.N. Goh. (2001) Neural network modeling with confidence bounds: a case study on the solder paste deposition process. IEEE Transactions on Electronics Packaging Manufacturing 24:4, pages 323-332.
Crossref
Mu-Chen Chen. (2001) Tolerance synthesis by neural learning and nonlinear programming. International Journal of Production Economics 70:1, pages 55-65.
Crossref
Ahmed El-Bouri, Subramaniam Balakrishnan & Neil Popplewell. (2000) Sequencing jobs on a single machine: A neural network approach. European Journal of Operational Research 126:3, pages 474-490.
Crossref
Kate A. Smith & Jatinder N.D. Gupta. (2000) Neural networks in business: techniques and applications for the operations researcher. Computers & Operations Research 27:11-12, pages 1023-1044.
Crossref
A. A. WEST, C. J. HINDE, C. H. MESSOM, R. HARRISON & D. J. WILLIAMS. (2000) DESIGN ISSUES ASSOCIATED WITH NEURAL NETWORK SYSTEMS APPLIED WITHIN THE ELECTRONICS MANUFACTURING DOMAIN. Journal of Electronics Manufacturing 10:01, pages 19-48.
Crossref
T. Mikac, M. Jurkovic & Z. Pekic. 1999. AMST ’99. AMST ’99 521 528 .
Jürgen Bode. (1998) Decision support with neural networks in the management of research and development: Concepts and application to cost estimation. Information & Management 34:1, pages 33-40.
Crossref
Nagraj Balakrishnan, Amiya K. Chakravarty & Sanjoy Ghose. (1997) Role of design-philosophies in interfacing manufacturing with marketing. European Journal of Operational Research 103:3, pages 453-469.
Crossref
Jang Inho & Jongtae Rhee. (1997) Generalized machine cell formation considering material flow and plant layout using modified self-organizing feature maps. Computers & Industrial Engineering 33:3-4, pages 457-460.
Crossref
Theodore B. Trafalis & Tarek A. Tutunji. 1997. Parallel Computing in Optimization. Parallel Computing in Optimization 529 574 .
Horris C. Leung. (1996) Annotated bibliography on computer-aided process planning. The International Journal of Advanced Manufacturing Technology 12:5, pages 309-329.
Crossref
D.W. Sellers. (1996) A survey of approaches to the job shop scheduling problem. A survey of approaches to the job shop scheduling problem.
Samuel H. Huang & Hong-Chao Zhang. (1995) Neural-expert hybrid approach for intelligent manufacturing: A survey. Computers in Industry 26:2, pages 107-126.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.