Chen Fu Chien
Orcid: 0000-0003-3328-4946Affiliations:
- National Tsing Hua University, Department of Industrial Engineering and Engineering Management, Taiwan
According to our database1,
Chen Fu Chien
authored at least 125 papers
between 1998 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry.
Appl. Soft Comput., December, 2024
Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study.
J. Intell. Manuf., January, 2024
Digital system for dynamic container loading with neural network-based memory exploiting hybrid genetic algorithm for carbon reduction.
Comput. Ind. Eng., 2024
Multi-objective multi-population simplified swarm optimization for container loading optimization with practical constraints.
Appl. Soft Comput., 2024
Integrating reinforcement learning and metaheuristics for safe and sustainable health tourist trip design problem.
Appl. Soft Comput., 2024
2023
Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study.
Comput. Ind. Eng., November, 2023
Subpopulation preference adjective non-dominated sorting genetic algorithm for multi-objective capacity expansion for matured fabs.
Appl. Soft Comput., November, 2023
Digital transformation for cost estimation system via <i>meta</i>-learning and an empirical study in aerospace industry.
Comput. Ind. Eng., October, 2023
Advanced quality control for probe precision forming to empower virtual vertical integration for semiconductor manufacturing.
Comput. Ind. Eng., September, 2023
Bayesian decision analysis for optimizing in-line metrology and defect inspection strategy for sustainable semiconductor manufacturing and an empirical study.
Comput. Ind. Eng., August, 2023
Semiconductor capacity expansion based on forecast evolution and mini-max regret strategy for smart production under demand uncertainty.
Comput. Ind. Eng., March, 2023
UNISON framework of system dynamics-based technology acquisition decision for semiconductor manufacturing and an empirical study.
Comput. Ind. Eng., March, 2023
A Two-stage Multi-population Genetic Algorithm with Heuristics for Workflow Scheduling in Heterogeneous Distributed Computing Environments.
IEEE Trans. Cloud Comput., 2023
2022
J. Intell. Manuf., 2022
Bayesian network for integrated circuit testing probe card fault diagnosis and troubleshooting to empower Industry 3.5 smart production and an empirical study.
J. Intell. Manuf., 2022
Decision-based virtual metrology for advanced process control to empower smart production and an empirical study for semiconductor manufacturing.
Comput. Ind. Eng., 2022
2021
Partially Observable Markov Decision Process for Monitoring Multilayer Wafer Fabrication.
IEEE Trans Autom. Sci. Eng., 2021
Industry 3.5 to empower smart production for poultry farming and an empirical study for broiler live weight prediction.
Comput. Ind. Eng., 2021
Agent-based approach integrating deep reinforcement learning and hybrid genetic algorithm for dynamic scheduling for Industry 3.5 smart production.
Comput. Ind. Eng., 2021
Comput. Ind. Eng., 2021
Adaptive parametric yield enhancement via collinear multivariate analytics for semiconductor intelligent manufacturing.
Appl. Soft Comput., 2021
Production-Level Artificial Intelligence Applications in Semiconductor Manufacturing.
Proceedings of the Winter Simulation Conference, 2021
2020
Minimax Optimization for Recipe Management in High-Mixed Semiconductor Lithography Process.
IEEE Trans. Ind. Informatics, 2020
Dynamic Support Vector Regression Control System for Overlay Error Compensation With Stochastic Metrology Delay.
IEEE Trans Autom. Sci. Eng., 2020
A simulation-based dynamic scheduling and dispatching system with multi-criteria performance evaluation for Industry 3.5 and an empirical study for sustainable TFT-LCD array manufacturing.
Int. J. Prod. Res., 2020
Deep reinforcement learning for selecting demand forecast models to empower Industry 3.5 and an empirical study for a semiconductor component distributor.
Int. J. Prod. Res., 2020
Artificial intelligence in manufacturing and logistics systems: algorithms, applications, and case studies.
Int. J. Prod. Res., 2020
Decision-Making Modeling and Solutions for Smart Semiconductor Manufacturing (Dagstuhl Seminar 20452).
Dagstuhl Reports, 2020
Artificial intelligence based data processing algorithm for video surveillance to empower industry 3.5.
Comput. Ind. Eng., 2020
Digital transformation to empower smart production for Industry 3.5 and an empirical study for textile dyeing.
Comput. Ind. Eng., 2020
A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information.
Comput. Ind. Eng., 2020
Dynamic coordinated scheduling for supply chain under uncertain production time to empower smart production for Industry 3.5.
Comput. Ind. Eng., 2020
An inverse-distance weighting genetic algorithm for optimizing the wafer exposure pattern for enhancing OWE for smart manufacturing.
Appl. Soft Comput., 2020
Tool allocation to smooth work-in-process for cycle time reduction and an empirical study.
Ann. Oper. Res., 2020
2019
Compensating Misalignment Using Dynamic Random-Effect Control System: A Case of High-Mixed Wafer Fabrication.
IEEE Trans Autom. Sci. Eng., 2019
A UNISON framework for knowledge management of university-industry collaboration and an illustration.
Comput. Ind. Eng., 2019
UNISON data-driven intermittent demand forecast framework to empower supply chain resilience and an empirical study in electronics distribution.
Comput. Ind. Eng., 2019
2018
A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints.
J. Intell. Manuf., 2018
An empirical study of demand forecasting of non-volatile memory for smart production of semiconductor manufacturing.
Int. J. Prod. Res., 2018
Int. J. Comput. Intell. Syst., 2018
Comput. Ind. Eng., 2018
A hybrid genetic algorithm with 2D encoding for the scheduling of rehabilitation patients.
Comput. Ind. Eng., 2018
A hybrid multi-subpopulation genetic algorithm for textile batch dyeing scheduling and an empirical study.
Comput. Ind. Eng., 2018
A two-phase decoding genetic algorithm for TFT-LCD array photolithography stage scheduling problem with constrained waiting time.
Comput. Ind. Eng., 2018
Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0.
Appl. Soft Comput., 2018
Appl. Soft Comput., 2018
Strategic capacity planning for smart production: Decision modeling under demand uncertainty.
Appl. Soft Comput., 2018
A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, 2018
Constructing a Metrology Sampling Framework for In-line Inspection in Semiconductor Fabrication.
Proceedings of the Advances in Production Management Systems. Smart Manufacturing for Industry 4.0, 2018
Using Auxiliary Capacity Planning Strategy Genetic Algorithm for TFT-LCD photolithography scheduling to empower Industry 3.5.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018
2017
Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints.
J. Intell. Manuf., 2017
Analysing semiconductor manufacturing big data for root cause detection of excursion for yield enhancement.
Int. J. Prod. Res., 2017
An empirical study of bio manufacturing for the scheduling of hepatitis in vitro diagnostic device with constrained process time window.
Comput. Ind. Eng., 2017
Modeling collinear WATs for parametric yield enhancement in semiconductor manufacturing.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
Big data analytic for multivariate fault detection and classification in semiconductor manufacturing.
Proceedings of the 13th IEEE Conference on Automation Science and Engineering, 2017
2016
A Novel Route Selection and Resource Allocation Approach to Improve the Efficiency of Manual Material Handling System in 200-mm Wafer Fabs for Industry 3.5.
IEEE Trans Autom. Sci. Eng., 2016
Dagstuhl Reports, 2016
A dynamic task assignment approach based on individual worklists for minimizing the cycle time of business processes.
Comput. Ind. Eng., 2016
UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices.
Comput. Ind. Eng., 2016
Extended priority-based hybrid genetic algorithm for the less-than-container loading problem.
Comput. Ind. Eng., 2016
Building energy saving performance indices for cleaner semiconductor manufacturing and an empirical study.
Comput. Ind. Eng., 2016
Data-driven innovation to capture user-experience product design: An empirical study for notebook visual aesthetics design.
Comput. Ind. Eng., 2016
Big data analytics for modeling WAT parameter variation induced by process tool in semiconductor manufacturing and empirical study.
Proceedings of the Winter Simulation Conference, 2016
2015
Multistage production distribution under uncertain demands with integrated discrete particle swarm optimization and extended priority-based hybrid genetic algorithm.
Fuzzy Optim. Decis. Mak., 2015
A novel approach to hedge and compensate the critical dimension variation of the developed-and-etched circuit patterns for yield enhancement in semiconductor manufacturing.
Comput. Oper. Res., 2015
Multi-objective multi-population biased random-key genetic algorithm for the 3-D container loading problem.
Comput. Ind. Eng., 2015
2014
IEEE Trans Autom. Sci. Eng., 2014
IEEE Trans Autom. Sci. Eng., 2014
Overlay Error Compensation Using Advanced Process Control With Dynamically Adjusted Proportional-Integral R2R Controller.
IEEE Trans Autom. Sci. Eng., 2014
Stochastic programming for vendor portfolio selection and order allocation under delivery uncertainty.
OR Spectr., 2014
Hierarchical indices to detect equipment condition changes with high dimensional data for semiconductor manufacturing.
J. Intell. Manuf., 2014
The cooperative estimation of distribution algorithm: a novel approach for semiconductor final test scheduling problems.
J. Intell. Manuf., 2014
Determining the operator-machine assignment for machine interference problem and an empirical study in semiconductor test facility.
J. Intell. Manuf., 2014
Manufacturing intelligence and innovation for digital manufacturing and operational excellence.
J. Intell. Manuf., 2014
An empirical study of design-of-experiment data mining for yield-loss diagnosis for semiconductor manufacturing.
J. Intell. Manuf., 2014
Int. J. Comput. Intell. Syst., 2014
A data mining approach for analyzing semiconductor MES and FDC data to enhance overall usage effectiveness (OUE).
Int. J. Comput. Intell. Syst., 2014
User-experience of tablet operating system: An experimental investigation of Windows 8, iOS 6, and Android 4.2.
Comput. Ind. Eng., 2014
Proceedings of the 2014 Winter Simulation Conference, 2014
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
Hybrid estimation of distribution algorithm with multiple subpopulations for semiconductor manufacturing scheduling problem with limited waiting-time constraint.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
An effective Markov network based EDA for flexible job shop scheduling problems under uncertainty.
Proceedings of the 2014 IEEE International Conference on Automation Science and Engineering, 2014
2013
An intelligent system for wafer bin map defect diagnosis: An empirical study for semiconductor manufacturing.
Eng. Appl. Artif. Intell., 2013
A method for estimating the cycle time of business processes with many-to-many relationships among the resources and activities based on individual worklists.
Comput. Ind. Eng., 2013
Comput. Ind. Eng., 2013
Overall Wafer Effectiveness (OWE): A novel industry standard for semiconductor ecosystem as a whole.
Comput. Ind. Eng., 2013
Master production schedule and system for excelling enterprise resources (SEER) in the LED industry.
Proceedings of the 2013 IEEE International Conference on Automation Science and Engineering, 2013
2012
Proceedings of the Complex Adaptive Systems 2012 Conference, 2012
A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem.
J. Intell. Manuf., 2012
Mini-max regret strategy for robust capacity expansion decisions in semiconductor manufacturing.
J. Intell. Manuf., 2012
J. Intell. Manuf., 2012
J. Intell. Manuf., 2012
A new morphology-based approach for similarity searching on wafer bin maps in semiconductor manufacturing.
Proceedings of the IEEE 16th International Conference on Computer Supported Cooperative Work in Design, 2012
2011
IEEE Trans Autom. Sci. Eng., 2011
Manufacturing Intelligence to Exploit the Value of Production and Tool Data to Reduce Cycle Time.
IEEE Trans Autom. Sci. Eng., 2011
UNISON analysis to model and reduce step-and-scan overlay errors for semiconductor manufacturing.
J. Intell. Manuf., 2011
J. Intell. Manuf., 2011
Manufacturing intelligence for determining machine subgroups to enhance yield in semiconductor manufacturning.
Proceedings of the Winter Simulation Conference 2011, 2011
2009
A hybrid approach of data mining and genetic algorithms for rehabilitation scheduling.
Int. J. Manuf. Technol. Manag., 2009
Expert Syst. Appl., 2009
Comput. Ind. Eng., 2009
2008
Modeling strategic semiconductor assembly outsourcing decisions based on empirical settings.
OR Spectr., 2008
Analysing inspection frequency for wafer bumping process and an empirical study of UNISON decision framework.
Int. J. Manuf. Technol. Manag., 2008
Modeling semiconductor testing job scheduling and dynamic testing machine configuration.
Expert Syst. Appl., 2008
Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry.
Expert Syst. Appl., 2008
Eur. J. Oper. Res., 2008
Modeling and analysis of semiconductor manufacturing in a shrinking world: Challenges and successes.
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
Proceedings of the 2008 Winter Simulation Conference, Global Gateway to Discovery, 2008
2007
IEEE Trans Autom. Sci. Eng., 2007
A novel timetabling algorithm for a furnace process for semiconductor fabrication with constrained waiting and frequency-based setups.
OR Spectr., 2007
Data mining for yield enhancement in semiconductor manufacturing and an empirical study.
Expert Syst. Appl., 2007
Proceedings of the IEEE Conference on Automation Science and Engineering, 2007
2006
A novel method for determining machine subgroups and backups with an empirical study for semiconductor manufacturing.
J. Intell. Manuf., 2006
Data mining for improving the solder bumping process in the semiconductor packaging industry.
Intell. Syst. Account. Finance Manag., 2006
2004
A container packing support system for determining and visualizing container packing patterns.
Decis. Support Syst., 2004
2003
Data value development to enhance competitive advantage: a retrospective study of EDA systems for semiconductor fabrication.
Int. J. Serv. Technol. Manag., 2003
Int. J. Serv. Technol. Manag., 2003
1998
Int. J. Comput. Integr. Manuf., 1998