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ORCIDChen Fu Chien 0001
Chen-Fu Chien 0001 – 簡禎富
Person information
- unicode name: 簡禎富
- affiliation: National Tsing Hua University, Department of Industrial Engineering and Engineering Management, Taiwan
Other persons with the same name
- Chen-Fu Chien — disambiguation page
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2020 – today
- 2024
[j92]Chen Fu Chien
, Hsin-Jung Wu:
Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study. J. Intell. Manuf. 35(1): 275-287 (2024)- 2023
- [j91]Hsuan An Kuo, Chia-Ching Peng, Chen Fu Chien:
Subpopulation preference adjective non-dominated sorting genetic algorithm for multi-objective capacity expansion for matured fabs. Appl. Soft Comput. 147: 110772 (2023) - [j90]Tzu-Yen Hong, Chen-Fu Chien, Hung-Pin Chen:
UNISON framework of system dynamics-based technology acquisition decision for semiconductor manufacturing and an empirical study. Comput. Ind. Eng. 177: 109012 (2023) - [j89]Hsuan An Kuo, Chen-Fu Chien:
Semiconductor capacity expansion based on forecast evolution and mini-max regret strategy for smart production under demand uncertainty. Comput. Ind. Eng. 177: 109077 (2023) - [j88]Chen-Fu Chien, Tran Hong Van Nguyen, Yi-Chiu Li, Ying-Jen Chen:
Bayesian decision analysis for optimizing in-line metrology and defect inspection strategy for sustainable semiconductor manufacturing and an empirical study. Comput. Ind. Eng. 182: 109421 (2023) - [j87]Wenhan Fu, Chen-Fu Chien, Chi-Hang Chen:
Advanced quality control for probe precision forming to empower virtual vertical integration for semiconductor manufacturing. Comput. Ind. Eng. 183: 109461 (2023) - [j86]Tran Hong Van Nguyen, Pei-Min Huang, Chen Fu Chien, Chung-Kai Chang:
Digital transformation for cost estimation system via meta-learning and an empirical study in aerospace industry. Comput. Ind. Eng. 184: 109558 (2023) - [j85]Chen Fu Chien, Chien-Chun Ku, Yi-Yun Lu:
Ensemble learning for demand forecast of After-Market spare parts to empower data-driven value chain and an empirical study. Comput. Ind. Eng. 185: 109670 (2023) - [j84]Yi Xie, Fengxian Gui, Wei-Jun Wang, Chen Fu Chien:
A Two-stage Multi-population Genetic Algorithm with Heuristics for Workflow Scheduling in Heterogeneous Distributed Computing Environments. IEEE Trans. Cloud Comput. 11(2): 1446-1460 (2023) - 2022
- [j83]Chen-Fu Chien, Wei-Tse Hung, Chin-Wei Pan, Tran Hong Van Nguyen:
Decision-based virtual metrology for advanced process control to empower smart production and an empirical study for semiconductor manufacturing. Comput. Ind. Eng. 169: 108245 (2022) - [j82]Wenhan Fu, Chen Fu Chien, Lizhen Tang:
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. 33(3): 785-798 (2022) - [j81]Chia-Yen Lee, Chen-Fu Chien:
Pitfalls and protocols of data science in manufacturing practice. J. Intell. Manuf. 33(5): 1189-1207 (2022) - 2021
- [j80]Chen-Fu Chien, Chia-Cheng Chen:
Adaptive parametric yield enhancement via collinear multivariate analytics for semiconductor intelligent manufacturing. Appl. Soft Comput. 108: 107385 (2021) - [j79]Chun-Yao Wang, Ying-Jen Chen, Chen-Fu Chien:
Industry 3.5 to empower smart production for poultry farming and an empirical study for broiler live weight prediction. Comput. Ind. Eng. 151: 106931 (2021) - [j78]Chen-Fu Chien, Abdul Hakim Halim, Zhen He, Thanh Phong Ho, Kazuyoshi Ishii, Tae-Eog Lee:
Industry 3.5: IE developments and prospects in the Asia-pacific region. Comput. Ind. Eng. 153: 107088 (2021) - [j77]Chen-Fu Chien, Yu-Bin Lan:
Agent-based approach integrating deep reinforcement learning and hybrid genetic algorithm for dynamic scheduling for Industry 3.5 smart production. Comput. Ind. Eng. 162: 107782 (2021) - [j76]Marzieh Khakifirooz, Mahdi Fathi, Chen-Fu Chien:
Partially Observable Markov Decision Process for Monitoring Multilayer Wafer Fabrication. IEEE Trans Autom. Sci. Eng. 18(4): 1742-1753 (2021) - [c7]Chen-Fu Chien, Hans Ehm, John W. Fowler, Lars Mönch, Cheng-Hung Wu:
Production-Level Artificial Intelligence Applications in Semiconductor Manufacturing. WSC 2021: 1-8 - 2020
- [j75]Chen-Fu Chien, Chung-Jen Kuo, Chih-Min Yu:
Tool allocation to smooth work-in-process for cycle time reduction and an empirical study. Ann. Oper. Res. 290(1): 1009-1033 (2020) - [j74]Hung-Kai Wang, Chen Fu Chien:
An inverse-distance weighting genetic algorithm for optimizing the wafer exposure pattern for enhancing OWE for smart manufacturing. Appl. Soft Comput. 94: 106430 (2020) - [j73]Chien-Chun Ku, Chen Fu Chien, Kang-Ting Ma:
Digital transformation to empower smart production for Industry 3.5 and an empirical study for textile dyeing. Comput. Ind. Eng. 142: 106297 (2020) - [j72]Thitipong Jamrus, Hung-Kai Wang, Chen-Fu Chien:
Dynamic coordinated scheduling for supply chain under uncertain production time to empower smart production for Industry 3.5. Comput. Ind. Eng. 142: 106375 (2020) - [j71]Yanbing Ju, Yuanyuan Liang, Luis Martínez, Aihua Wang, Chen-Fu Chien, Peiwu Dong, Ernesto Del R. Santibanez-Gonzalez:
A new approach for heterogeneous linguistic failure mode and effect analysis with incomplete weight information. Comput. Ind. Eng. 148: 106659 (2020) - [j70]Minh Tuan Nguyen, Linh H. Truong, Trang T. Tran, Chen-Fu Chien:
Artificial intelligence based data processing algorithm for video surveillance to empower industry 3.5. Comput. Ind. Eng. 148: 106671 (2020) - [j69]Chen-Fu Chien, Stéphane Dauzère-Pérès, Woonghee Tim Huh, Young Jae Jang, James R. Morrison:
Artificial intelligence in manufacturing and logistics systems: algorithms, applications, and case studies. Int. J. Prod. Res. 58(9): 2730-2731 (2020) - [j68]Chen-Fu Chien, Yun-Siang Lin, Sheng-Kai Lin:
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. 58(9): 2784-2804 (2020) - [j67]Tzu-Yen Hong, Chen Fu Chien:
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. 58(24): 7531-7547 (2020) - [j66]Marzieh Khakifirooz, Chen Fu Chien, Ying-Jen Chen:
Dynamic Support Vector Regression Control System for Overlay Error Compensation With Stochastic Metrology Delay. IEEE Trans Autom. Sci. Eng. 17(1): 502-512 (2020) - [j65]Marzieh Khakifirooz, Chen Fu Chien, Mahdi Fathi, Panos M. Pardalos:
Minimax Optimization for Recipe Management in High-Mixed Semiconductor Lithography Process. IEEE Trans. Ind. Informatics 16(8): 4975-4985 (2020)
2010 – 2019
- 2019
- [j64]Yi-Fen Hu, Jiang-Liang Hou, Chen-Fu Chien:
A UNISON framework for knowledge management of university-industry collaboration and an illustration. Comput. Ind. Eng. 129: 31-43 (2019) - [j63]Wenhan Fu, Chen-Fu Chien:
UNISON data-driven intermittent demand forecast framework to empower supply chain resilience and an empirical study in electronics distribution. Comput. Ind. Eng. 135: 940-949 (2019) - [j62]Marzieh Khakifirooz, Chen-Fu Chien, Mahdi Fathi:
Compensating Misalignment Using Dynamic Random-Effect Control System: A Case of High-Mixed Wafer Fabrication. IEEE Trans Autom. Sci. Eng. 16(4): 1788-1799 (2019) - 2018
- [j61]Chen-Fu Chien, T. Warren Liao, Runliang Dou:
Soft computing for smart production to empower industry 4.0. Appl. Soft Comput. 68: 833-834 (2018) - [j60]Chen-Fu Chien, Runliang Dou, Wenhan Fu:
Strategic capacity planning for smart production: Decision modeling under demand uncertainty. Appl. Soft Comput. 68: 900-909 (2018) - [j59]Marzieh Khakifirooz, Chen Fu Chien, Ying-Jen Chen:
Bayesian inference for mining semiconductor manufacturing big data for yield enhancement and smart production to empower industry 4.0. Appl. Soft Comput. 68: 990-999 (2018) - [j58]Tzu-Yen Hong, Chen-Fu Chien, Hung-Kai Wang, Hong-Zhi Guo:
A two-phase decoding genetic algorithm for TFT-LCD array photolithography stage scheduling problem with constrained waiting time. Comput. Ind. Eng. 125: 200-211 (2018) - [j57]Nhat-To Huynh, Yi-Chao Huang, Chen-Fu Chien:
A hybrid genetic algorithm with 2D encoding for the scheduling of rehabilitation patients. Comput. Ind. Eng. 125: 221-231 (2018) - [j56]Nhat-To Huynh, Chen-Fu Chien:
A hybrid multi-subpopulation genetic algorithm for textile batch dyeing scheduling and an empirical study. Comput. Ind. Eng. 125: 615-627 (2018) - [j55]Jia-Nian Zheng, Chen-Fu Chien, Jei-Zheng Wu:
Multi-objective demand fulfillment problem for solar cell industry. Comput. Ind. Eng. 125: 688-694 (2018) - [j54]Runliang Dou, Chen-Fu Chien, Imed Kacem, Chia-Yu Hsu:
Industry Applications of Computational Intelligence: Preface. Int. J. Comput. Intell. Syst. 11(1): 803-804 (2018) - [j53]Lars Mönch, Chen Fu Chien, Stéphane Dauzère-Pérès, Hans Ehm, John W. Fowler:
Modelling and analysis of semiconductor supply chains. Int. J. Prod. Res. 56(13): 4521-4523 (2018) - [j52]Ying-Jen Chen, Chen-Fu Chien:
An empirical study of demand forecasting of non-volatile memory for smart production of semiconductor manufacturing. Int. J. Prod. Res. 56(13): 4629-4643 (2018) - [j51]Lizhong Zhao, Chen-Fu Chien, Mitsuo Gen:
A bi-objective genetic algorithm for intelligent rehabilitation scheduling considering therapy precedence constraints. J. Intell. Manuf. 29(5): 973-988 (2018) - [c6]Hsuan An Kuo, Chen Fu Chien:
Using Auxiliary Capacity Planning Strategy Genetic Algorithm for TFT-LCD photolithography scheduling to empower Industry 3.5. CASE 2018: 920-925 - [c5]Wenhan Fu, Chen-Fu Chien, Zih-Hao Lin:
A Hybrid Forecasting Framework with Neural Network and Time-Series Method for Intermittent Demand in Semiconductor Supply Chain. APMS (2) 2018: 65-72 - [c4]Chen-Fu Chien, Yun-Siang Lin, Yu-Shin Tan:
Constructing a Metrology Sampling Framework for In-line Inspection in Semiconductor Fabrication. APMS (2) 2018: 73-80 - 2017
- [j50]Hung-Kai Wang, Chen-Fu Chien, Che-Wei Chou:
An empirical study of bio manufacturing for the scheduling of hepatitis in vitro diagnostic device with constrained process time window. Comput. Ind. Eng. 114: 31-44 (2017) - [j49]Chen-Fu Chien, Chiao-Wen Liu, Shih-Chung Chuang:
Analysing semiconductor manufacturing big data for root cause detection of excursion for yield enhancement. Int. J. Prod. Res. 55(17): 5095-5107 (2017) - [j48]Chettha Chamnanlor, Kanchana Sethanan, Mitsuo Gen, Chen-Fu Chien:
Embedding ant system in genetic algorithm for re-entrant hybrid flow shop scheduling problems with time window constraints. J. Intell. Manuf. 28(8): 1915-1931 (2017) - [c3]Chen-Fu Chien, Peng-Chieh Lee, Runliang Dou, Ying-Jen Chen, Chia-Cheng Chen:
Modeling collinear WATs for parametric yield enhancement in semiconductor manufacturing. CASE 2017: 739-743 - 2016
- [j47]Thitipong Jamrus, Chen-Fu Chien:
Extended priority-based hybrid genetic algorithm for the less-than-container loading problem. Comput. Ind. Eng. 96: 227-236 (2016) - [j46]Chen-Fu Chien, Rhoann Kerh, Kuo-Yi Lin, Annie Pei-I Yu:
Data-driven innovation to capture user-experience product design: An empirical study for notebook visual aesthetics design. Comput. Ind. Eng. 99: 162-173 (2016) - [j45]Chen-Fu Chien, Chia-Yu Hsu, James R. Morrison, Runliang Dou:
Semiconductor manufacturing intelligence and automation. Comput. Ind. Eng. 99: 315-317 (2016) - [j44]Yi Xie, Chen-Fu Chien, Ren-Zhong Tang:
A dynamic task assignment approach based on individual worklists for minimizing the cycle time of business processes. Comput. Ind. Eng. 99: 401-414 (2016) - [j43]Chen-Fu Chien, Jin-Tang Peng, Hsing-Chih Yu:
Building energy saving performance indices for cleaner semiconductor manufacturing and an empirical study. Comput. Ind. Eng. 99: 448-457 (2016) - [j42]Kuo-Yi Lin, Chen-Fu Chien, Rhoann Kerh:
UNISON framework of data-driven innovation for extracting user experience of product design of wearable devices. Comput. Ind. Eng. 99: 487-502 (2016) - [j41]Chen-Fu Chien, Che-Wei Chou, Hui-Chun Yu:
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. 13(4): 1567-1580 (2016) - 2015
- [j40]Jia-Nian Zheng, Chen-Fu Chien, Mitsuo Gen:
Multi-objective multi-population biased random-key genetic algorithm for the 3-D container loading problem. Comput. Ind. Eng. 89: 80-87 (2015) - [j39]Chen-Fu Chien, Ying-Jen Chen, Chia-Yu Hsu:
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. 53: 309-318 (2015) - [j38]Thitipong Jamrus, Chen-Fu Chien, Mitsuo Gen, Kanchana Sethanan:
Multistage production distribution under uncertain demands with integrated discrete particle swarm optimization and extended priority-based hybrid genetic algorithm. Fuzzy Optim. Decis. Mak. 14(3): 265-287 (2015) - 2014
- [j37]Chen-Fu Chien, Kuo-Yi Lin, Annie Pei-I Yu:
User-experience of tablet operating system: An experimental investigation of Windows 8, iOS 6, and Android 4.2. Comput. Ind. Eng. 73: 75-84 (2014) - [j36]Chen-Fu Chien, Alejandra Campero Diaz, Yu-Bin Lan:
A data mining approach for analyzing semiconductor MES and FDC data to enhance overall usage effectiveness (OUE). Int. J. Comput. Intell. Syst. 7(sup2): 52-65 (2014) - [j35]Chen-Fu Chien, Mitsuo Gen, Yongjiang Shi, Chia-Yu Hsu:
Manufacturing intelligence and innovation for digital manufacturing and operational excellence. J. Intell. Manuf. 25(5): 845-847 (2014) - [j34]Xin-Chang Hao, Jei-Zheng Wu, Chen-Fu Chien, Mitsuo Gen:
The cooperative estimation of distribution algorithm: a novel approach for semiconductor final test scheduling problems. J. Intell. Manuf. 25(5): 867-879 (2014) - [j33]Chen-Fu Chien, Jia-Nian Zheng, Yi-Jay Lin:
Determining the operator-machine assignment for machine interference problem and an empirical study in semiconductor test facility. J. Intell. Manuf. 25(5): 899-911 (2014) - [j32]Hui-Chun Yu, Kuo-Yi Lin, Chen-Fu Chien:
Hierarchical indices to detect equipment condition changes with high dimensional data for semiconductor manufacturing. J. Intell. Manuf. 25(5): 933-943 (2014) - [j31]Chen-Fu Chien, Kuo-Hao Chang, Wen-Chih Wang:
An empirical study of design-of-experiment data mining for yield-loss diagnosis for semiconductor manufacturing. J. Intell. Manuf. 25(5): 961-972 (2014) - [j30]Chia-Yen Lee, Chen-Fu Chien:
Stochastic programming for vendor portfolio selection and order allocation under delivery uncertainty. OR Spectr. 36(3): 761-797 (2014) - [j29]Chen-Fu Chien, Ying-Jen Chen, Chia-Yu Hsu, Hung-Kai Wang:
Overlay Error Compensation Using Advanced Process Control With Dynamically Adjusted Proportional-Integral R2R Controller. IEEE Trans Autom. Sci. Eng. 11(2): 473-484 (2014) - [j28]Che-Wei Chou, Chen-Fu Chien, Mitsuo Gen:
A Multiobjective Hybrid Genetic Algorithm for TFT-LCD Module Assembly Scheduling. IEEE Trans Autom. Sci. Eng. 11(3): 692-705 (2014) - [j27]Chung-Shou Liao, Tsung-Jung Hsieh, Yu-Syuan Huang, Chen-Fu Chien:
Similarity Searching for Defective Wafer Bin Maps in Semiconductor Manufacturing. IEEE Trans Autom. Sci. Eng. 11(3): 953-960 (2014) - 2013
- [j26]Chen-Fu Chien, Chia-Yu Hsu, Kuo-Hao Chang:
Overall Wafer Effectiveness (OWE): A novel industry standard for semiconductor ecosystem as a whole. Comput. Ind. Eng. 65(1): 117-127 (2013) - [j25]Yi Xie, Chen-Fu Chien, Ren-Zhong Tang:
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. 65(2): 194-206 (2013) - [j24]Chiao-Wen Liu, Chen-Fu Chien:
An intelligent system for wafer bin map defect diagnosis: An empirical study for semiconductor manufacturing. Eng. Appl. Artif. Intell. 26(5-6): 1479-1486 (2013) - 2012
- [j23]Chen-Fu Chien, Jia-Nian Zheng:
Mini-max regret strategy for robust capacity expansion decisions in semiconductor manufacturing. J. Intell. Manuf. 23(6): 2151-2159 (2012) - [j22]Jei-Zheng Wu, Xin-Chang Hao, Chen-Fu Chien, Mitsuo Gen:
A novel bi-vector encoding genetic algorithm for the simultaneous multiple resources scheduling problem. J. Intell. Manuf. 23(6): 2255-2270 (2012) - [j21]Chen-Fu Chien, Chia-Yu Hsu, Chih-Wei Hsiao:
Manufacturing intelligence to forecast and reduce semiconductor cycle time. J. Intell. Manuf. 23(6): 2281-2294 (2012) - [c2]Tsung-Jung Hsieh, Chung-Shou Liao, Yu-Syuan Huang, Chen-Fu Chien:
A new morphology-based approach for similarity searching on wafer bin maps in semiconductor manufacturing. CSCWD 2012: 869-874 - 2011
- [j20]Chen-Fu Chien, Chia-Yu Hsu:
UNISON analysis to model and reduce step-and-scan overlay errors for semiconductor manufacturing. J. Intell. Manuf. 22(3): 399-412 (2011) - [j19]Wen-Chih Chen, Chen-Fu Chien:
Measuring relative performance of wafer fabrication operations: a case study. J. Intell. Manuf. 22(3): 447-457 (2011) - [j18]James R. Morrison, Chen-Fu Chien, Stéphane Dauzère-Pérès, Milind Dawande, Han Ding, Jeffrey S. Pettinato, Jingang Yi:
Guest Editorial Equipment and Operations Automation in the Semiconductor Industry. IEEE Trans Autom. Sci. Eng. 8(1): 1-4 (2011) - [j17]Chung-Jen Kuo, Chen-Fu Chien, Jan-Daw Chen:
Manufacturing Intelligence to Exploit the Value of Production and Tool Data to Reduce Cycle Time. IEEE Trans Autom. Sci. Eng. 8(1): 103-111 (2011) - [c1]Chen-Fu Chien, Ying-Jen Chen, Chia-Yu Hsu, Yi-Hao Yeh:
Manufacturing intelligence for determining machine subgroups to enhance yield in semiconductor manufacturning. WSC 2011: 1898-1907
2000 – 2009
- 2009
- [j16]Chen-Fu Chien, Chia-Yen Lee, Yi-Chao Huang, Wen-Ting Wu:
An efficient computational procedure for determining the container-loading pattern. Comput. Ind. Eng. 56(3): 965-978 (2009) - [j15]Kuo-Sheng Lin, Chen-Fu Chien:
Cluster analysis of genome-wide expression data for feature extraction. Expert Syst. Appl. 36(2): 3327-3335 (2009) - [j14]Chen-Fu Chien, Yi-Chao Huang, Chih-Han Hu:
A hybrid approach of data mining and genetic algorithms for rehabilitation scheduling. Int. J. Manuf. Technol. Manag. 16(1/2): 76-100 (2009) - 2008
- [j13]Chen-Fu Chien, Fang-Pin Tseng, Chien-Hung Chen:
An evolutionary approach to rehabilitation patient scheduling: A case study. Eur. J. Oper. Res. 189(3): 1234-1253 (2008) - [j12]Chen-Fu Chien, Li-Fei Chen:
Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry. Expert Syst. Appl. 34(1): 280-290 (2008) - [j11]Jei-Zheng Wu, Chen-Fu Chien:
Modeling semiconductor testing job scheduling and dynamic testing machine configuration. Expert Syst. Appl. 35(1-2): 485-496 (2008) - [j10]Chen-Fu Chien, Chih-Han Hu, Chi-Yung Lin:
Analysing inspection frequency for wafer bumping process and an empirical study of UNISON decision framework. Int. J. Manuf. Technol. Manag. 14(1/2): 130-144 (2008) - [j9]Jei-Zheng Wu, Chen-Fu Chien:
Modeling strategic semiconductor assembly outsourcing decisions based on empirical settings. OR Spectr. 30(3): 401-430 (2008) - 2007
- [j8]Chen-Fu Chien, Wen-Chih Wang, Jen-Chieh Cheng:
Data mining for yield enhancement in semiconductor manufacturing and an empirical study. Expert Syst. Appl. 33(1): 192-198 (2007) - [j7]Chen-Fu Chien, Chien-Hung Chen:
A novel timetabling algorithm for a furnace process for semiconductor fabrication with constrained waiting and frequency-based setups. OR Spectr. 29(3): 391-419 (2007) - [j6]Robert C. Leachman, Shengwei Ding, Chen-Fu Chien:
Economic Efficiency Analysis of Wafer Fabrication. IEEE Trans Autom. Sci. Eng. 4(4): 501-512 (2007) - 2006
- [j5]Chen-Fu Chien, Huan-Chung Li, Angus Jeang:
Data mining for improving the solder bumping process in the semiconductor packaging industry. Intell. Syst. Account. Finance Manag. 14(1-2): 43-57 (2006) - [j4]Chen-Fu Chien, Chia-Yu Hsu:
A novel method for determining machine subgroups and backups with an empirical study for semiconductor manufacturing. J. Intell. Manuf. 17(4): 429-439 (2006) - 2004
- [j3]Chen-Fu Chien, Jing-Feng Deng:
A container packing support system for determining and visualizing container packing patterns. Decis. Support Syst. 37(1): 23-34 (2004) - 2003
- [j2]Pao-Long Chang, Chen-Fu Chien:
Managing technologies to enhance and enrich services in high-tech industry. Int. J. Serv. Technol. Manag. 4(4/5/6): 323-330 (2003)
1990 – 1999
- 1998
- [j1]Chih-Ming Liu, Chen-Fu Chien, I-Yung Ho:
An object-oriented analysis and design method for shop floor control systems. Int. J. Comput. Integr. Manuf. 11(5): 379-400 (1998)
Coauthor Index
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