Big data driven cycle time parallel prediction for production planning in wafer manufacturing

A Data Driven Cycle Time Prediction With Feature Selection in a Semiconductor Wafer Fabrication System

(2018) Junliang Wang et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

Mining affective words to capture customer’s affective response to apparel products

(2017) Y Zhao et al.   TEXTILE RESEARCH JOURNAL

Estimating job cycle time in a wafer fabrication factory: A novel and effective approach based on post-classification

(2016) Toly Chen   APPLIED SOFT COMPUTING

Design theory and methodology for enterprise systems

(2016) W.J. Zhang et al.   Enterprise Information Systems

Single-pass and linear-time k-means clustering based on MapReduce

(2016) Saeed Shahrivari et al.   INFORMATION SYSTEMS

Big data analytics for forecasting cycle time in semiconductor wafer fabrication system

(2016) Junliang Wang et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

On a Simple and Efficient Approach to Probability Distribution Function Aggregation

(2016) Mengya Cai et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Improving the effect of fuzzy clustering on RBF network’s performance in terms of particle swarm optimization

(2015) George E. Tsekouras et al.   ADVANCES IN ENGINEERING SOFTWARE

Multiobjective optimisation design for enterprise system operation in the case of scheduling problem with deteriorating jobs

(2015) Hongfeng Wang et al.   Enterprise Information Systems

Data-Driven Wind Turbine Power Generation Performance Monitoring

(2015) Huan Long et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An Algorithm of Multi-Subpopulation Parameters With Hybrid Estimation of Distribution for Semiconductor Scheduling With Constrained Waiting Time

(2015) Hung-Kai Wang et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

A big data approach for logistics trajectory discovery from RFID-enabled production data

(2015) Ray Y. Zhong et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

A MapReduce based parallel SVM for large-scale predicting protein–protein interactions

(2014) Zhu-Hong You et al.   NEUROCOMPUTING

Clustering by fast search and find of density peaks

(2014) A. Rodriguez et al.   SCIENCE

An effective fuzzy collaborative forecasting approach for predicting the job cycle time in wafer fabrication

(2013) Toly Chen   COMPUTERS & INDUSTRIAL ENGINEERING

Multiple-objective scheduling for interbay AMHS by using genetic-programming-based composite dispatching rules generator

(2013) Wei Qin et al.   COMPUTERS IN INDUSTRY

On domain modelling of the service system with its application to enterprise information systems

(2013) J.W. Wang et al.   Enterprise Information Systems

Forecasting flow time in semiconductor manufacturing using knowledge discovery in databases

(2013) Israel Tirkel   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Efficient development of cycle time response surfaces using progressive simulation metamodeling

(2013) Liam Y. Hsieh et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Modeling and optimization of HVAC systems using a dynamic neural network

(2012) Andrew Kusiak et al.   ENERGY

Parallel approaches to machine learning—A comprehensive survey

(2012) Sujatha R. Upadhyaya   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Artificial neural network predictors for mechanical properties of cold rolling products

(2011) J. Ghaisari et al.   ADVANCES IN ENGINEERING SOFTWARE

A novel training algorithm for RBF neural network using a hybrid fuzzy clustering approach

(2011) Antonios D. Niros et al.   FUZZY SETS AND SYSTEMS

Cycle time estimation for semiconductor final testing processes with Weibull-distributed waiting time

(2011) Y.T. Tai et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution

(2011) Sung-Kwun Oh et al.   NEUROCOMPUTING

On the principle of design of resilient systems – application to enterprise information systems

(2010) W. J. Zhang et al.   Enterprise Information Systems

Fuzzy-neural approaches with example post-classification for estimating job cycle time in a wafer fab

(2009) Toly Chen et al.   APPLIED SOFT COMPUTING

Industry-oriented enterprise resource planning

(2009) Shi Liang Wu et al.   Enterprise Information Systems

Statistical Approach for Cycle Time Estimation in Semiconductor Packaging Factories

(2009) W.L. Pearn et al.   IEEE TRANSACTIONS ON ELECTRONICS PACKAGING MANUFACTURING

Minimising idle times in cluster tools in the semiconductor industry

(2009) N. Lati et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

A fuzzy back propagation network ensemble with example classification for lot output time prediction in a wafer fab

(2008) Toly Chen et al.   APPLIED SOFT COMPUTING