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Daoyuan Liu, Yu Guo, Shaohua Huang, Weiguang Fang & Xu Tian. (2023) A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop. International Journal of Production Research 61:10, pages 3246-3259.
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Félicien Barhebwa-Mushamuka, Stéphane Dauzère-Pérès & Claude Yugma. (2023) A global scheduling approach for cycle time control in complex manufacturing systems. International Journal of Production Research 61:2, pages 559-579.
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Yeou-Ren Shiue, Ken-Chuan Lee & Chao-Ton Su. (2022) Development of dynamic scheduling in semiconductor manufacturing using a Q-learning approach. International Journal of Computer Integrated Manufacturing 35:10-11, pages 1188-1204.
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Peng Zheng, Peng Zhang, Junliang Wang, Jie Zhang, Changqi Yang & Yongqiao Jin. (2022) A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty. International Journal of Computer Integrated Manufacturing 35:10-11, pages 1043-1058.
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Roberto Cigolini, Simone Franceschetto & Andrea Sianesi. (2022) Shop floor control in the VLSI circuit manufacturing: a simulation approach and a case study. International Journal of Production Research 60:18, pages 5450-5467.
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Kuo-Hao Chang, Yi-Jyun Sun, Chi-An Lai, Li-Der Chen, Chih-Hung Wang, Chung-Jung Chen & Chih-Ming Lin. (2022) Big data analytics energy-saving strategies for air compressors in the semiconductor industry – an empirical study. International Journal of Production Research 60:6, pages 1782-1794.
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Sumit Maheshwari, Prerna Gautam & Chandra K. Jaggi. (2021) Role of Big Data Analytics in supply chain management: current trends and future perspectives. International Journal of Production Research 59:6, pages 1875-1900.
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Claudio Vitari & Elisabetta Raguseo. (2020) Big data analytics business value and firm performance: linking with environmental context. International Journal of Production Research 58:18, pages 5456-5476.
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Chang Liu, Yongfu Feng, Dongtao Lin, Liang Wu & Min Guo. (2020) Iot based laundry services: an application of big data analytics, intelligent logistics management, and machine learning techniques. International Journal of Production Research 58:17, pages 5113-5131.
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Weiguang Fang, Yu Guo, Wenhe Liao, Karthik Ramani & Shaohua Huang. (2020) Big data driven jobs remaining time prediction in discrete manufacturing system: a deep learning-based approach. International Journal of Production Research 58:9, pages 2751-2766.
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Dominik Kozjek, Rok Vrabič, Borut Rihtaršič, Nada Lavrač & Peter Butala. (2020) Advancing manufacturing systems with big-data analytics: A conceptual framework. International Journal of Computer Integrated Manufacturing 33:2, pages 169-188.
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Yong-Hong Kuo & Andrew Kusiak. (2019) From data to big data in production research: the past and future trends. International Journal of Production Research 57:15-16, pages 4828-4853.
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Jinsong Bao, Dongsheng Guo, Jie Li & Jie Zhang. (2019) The modelling and operations for the digital twin in the context of manufacturing. Enterprise Information Systems 13:4, pages 534-556.
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Junliang Wang, Peng Zheng, Wei Qin, Tengda Li & Jie Zhang. (2019) A novel resilient scheduling paradigm integrating operation and design for manufacturing systems with uncertainties. Enterprise Information Systems 13:4, pages 430-447.
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Yogesh K. Dwivedi, Mahmud Akhter Shareef, Bhasker Mukerji, Nripendra P. Rana & Kawaljeet Kaur Kapoor. (2018) Involvement in emergency supply chain for disaster management: a cognitive dissonance perspective. International Journal of Production Research 56:21, pages 6758-6773.
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Junliang Wang, Jungang Yang, Jie Zhang, Xiaoxi Wang & Wenjun (Chris) Zhang. (2018) Big data driven cycle time parallel prediction for production planning in wafer manufacturing. Enterprise Information Systems 12:6, pages 714-732.
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Ronald G. Askin & Girish Jampani Hanumantha. (2018) Queueing network models for analysis of nonstationary manufacturing systems. International Journal of Production Research 56:1-2, pages 22-42.
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Angappa Gunasekaran, Yahaya Y. Yusuf, Ezekiel O. Adeleye & Thanos Papadopoulos. (2018) Agile manufacturing practices: the role of big data and business analytics with multiple case studies. International Journal of Production Research 56:1-2, pages 385-397.
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Articles from other publishers (67)
Jin-Hua Hu, Yan-Ning Sun & Wei Qin. (2024) A dynamic feature selection-based data-driven quality prediction method for soft sensing in the diesel engine assembly system. Advanced Engineering Informatics 60, pages 102433.
Crossref
Crossref
Minghai Yuan, Zichen Li, Chenxi Zhang, Liang Zheng, Kefu Mao & Fengque Pei. (2023) Research on real-time prediction of completion time based on AE-CNN-LSTM. Computers & Industrial Engineering 185, pages 109677.
Crossref
Crossref
Shuang Tian & Yi Mei. (2023) Emergency regional food supply chain design and its labor demand forecasting model: application to COVID-19 pandemic disruption. Frontiers in Sustainable Food Systems 7.
Crossref
Crossref
Zheyuan Hu, Yi Cheng, Hui Xiong & Xu Zhang. (2023) Assembly makespan estimation using features extracted by a topic model. Knowledge-Based Systems 276, pages 110738.
Crossref
Crossref
Jing Zheng, Chaher Alzaman & Ali Diabat. (2023) Big data analytics in flexible supply chain networks. Computers & Industrial Engineering 178, pages 109098.
Crossref
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Fabian Steinberg, Peter Burggräf, Johannes Wagner, Benjamin Heinbach, Till Saßmannshausen & Alexandra Brintrup. (2023) A novel machine learning model for predicting late supplier deliveries of low-volume-high-variety products with application in a German machinery industry. Supply Chain Analytics 1, pages 100003.
Crossref
Crossref
Yu-Cheng Wang, Toly Chen & Min-Chi Chiu. (2023) An explainable deep-learning approach for job cycle time prediction. Decision Analytics Journal 6, pages 100153.
Crossref
Crossref
Chaher Alzaman, Tariq Aljuneidi & Zhaojun Li. (2023) Predicting Bike Usage and Optimizing Operations at Repair Shops in Bike Sharing Systems. IEEE Access 11, pages 32534-32547.
Crossref
Crossref
Tin-Chih Toly ChenTin-Chih Toly Chen. 2023. Explainable Artificial Intelligence (XAI) in Manufacturing. Explainable Artificial Intelligence (XAI) in Manufacturing
13
50
.
Sachin S. Kamble, Rahul S. Mor & Amine Belhadi. 2023. Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance. Digital Transformation and Industry 4.0 for Sustainable Supply Chain Performance
1
50
.
Tin-Chih Toly ChenTin-Chih Toly Chen. 2023. Production Planning and Control in Semiconductor Manufacturing. Production Planning and Control in Semiconductor Manufacturing
41
62
.
Zhaolin Deng, Sisi Tian, Wenjun Xu, Jue Lu & Yang Hu. (2022) A digital twin-driven dynamic prediction method for robotized production line operational performance. A digital twin-driven dynamic prediction method for robotized production line operational performance.
T. Hiller, L. Deipenwisch & P. Nyhuis. (2022) Systemising Data-driven Methods for Predicting Throughput Time within Production Planning & Control. Systemising Data-driven Methods for Predicting Throughput Time within Production Planning & Control.
Ting Wang, Xiaoling Shao & Xue Yan. (2022) A branch-and-price algorithm for robust parallel batch scheduling problem with uncertain size. Industrial Management & Data Systems 122:10, pages 2351-2370.
Crossref
Crossref
Tin-Chih Toly Chen & Yu-Cheng Lin. (2022) Fuzzified deep neural network ensemble approach for estimating cycle time range. Applied Soft Computing 130, pages 109697.
Crossref
Crossref
Toly Chen & Yu-Cheng Wang. (2022) A two-stage explainable artificial intelligence approach for classification-based job cycle time prediction. The International Journal of Advanced Manufacturing Technology 123:5-6, pages 2031-2042.
Crossref
Crossref
Beixin Xia, Tong Tian, Yan Gao, Mingyue Zhang & Yunfang Peng. (2022) A Dynamic Dispatching Method for Large-Scale Interbay Material Handling Systems of Semiconductor FAB. Sustainability 14:21, pages 13882.
Crossref
Crossref
Qiuhao Xu, Chuqiao Xu & Junliang Wang. (2022) Forecasting the yield of wafer by using improved genetic algorithm, high dimensional alternating feature selection and SVM with uneven distribution and high-dimensional data. Autonomous Intelligent Systems 2:1.
Crossref
Crossref
Kai Schelthoff, Christoph Jacobi, Eva Schlosser, David Plohmann, Michel Janus & Kai Furmans. (2022) Feature Selection for Waiting Time Predictions in Semiconductor Wafer Fabs. IEEE Transactions on Semiconductor Manufacturing 35:3, pages 546-555.
Crossref
Crossref
So-Hee Kim, Dong-Hee Lee & Kwang-Jae Kim. (2022) EWMA-PRIM: Process optimization based on time-series process operational data using the exponentially weighted moving average and patient rule induction method. Expert Systems with Applications 195, pages 116606.
Crossref
Crossref
Canchu Lin, Anand Kunnathur & Jeffrey Forrest. (2021) Supply chain dynamics, big data capability and product performance. American Journal of Business 37:2, pages 53-75.
Crossref
Crossref
Toly Chen & Yu-Cheng Wang. (2022) Hybrid big data analytics and Industry 4.0 approach to projecting cycle time ranges. The International Journal of Advanced Manufacturing Technology 120:1-2, pages 279-295.
Crossref
Crossref
Ji-Hyun Yoo, Young-Kook Park & Seung-Soo Han. (2022) Predictive Maintenance System for Wafer Transport Robot Using K-Means Algorithm and Neural Network Model. Electronics 11:9, pages 1324.
Crossref
Crossref
Nadine Bachmann, Shailesh Tripathi, Manuel Brunner & Herbert Jodlbauer. (2022) The Contribution of Data-Driven Technologies in Achieving the Sustainable Development Goals. Sustainability 14:5, pages 2497.
Crossref
Crossref
İnanç KABASAKAL & Fatma DEMİRCAN KESKİN. (2022) PREDICTION OF HIGH CYCLE TIMES IN WHEEL RIM MOLDING WITH ARTIFICIAL NEURAL NETWORKSJANT DÖKÜMÜNDE YAPAY SİNİR AĞLARI İLE YÜKSEK ÇEVRİM SÜRELERİNİN TAHMİN EDİLMESİ. Verimlilik Dergisi, pages 79-90.
Crossref
Crossref
Mondher Feki. 2022. Research Anthology on Big Data Analytics, Architectures, and Applications. Research Anthology on Big Data Analytics, Architectures, and Applications
1413
1432
.
Jie Zhang, Junliang Wang, Ray Zhong, Weidong Li, Xun Xu & Bhaskaran Gopalakrishnan. (2022) Editorial – Industrial intelligence for big data analytics. Journal of Manufacturing Systems 62, pages 736-737.
Crossref
Crossref
Yiping Gao, Xinyu Li, Xi Vincent Wang, Lihui Wang & Liang Gao. (2022) A Review on Recent Advances in Vision-based Defect Recognition towards Industrial Intelligence. Journal of Manufacturing Systems 62, pages 753-766.
Crossref
Crossref
Junliang Wang, Chuqiao Xu, Jie Zhang & Ray Zhong. (2022) Big data analytics for intelligent manufacturing systems: A review. Journal of Manufacturing Systems 62, pages 738-752.
Crossref
Crossref
Junliang Wang, Chuqiao Xu, Lu Dai, Jie Zhang & Ray Zhong. (2021) An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation. IEEE Transactions on Industrial Informatics 17:12, pages 7913-7922.
Crossref
Crossref
Yu-Cheng Wang, Toly Chen & Ting Chuan Hsu. (2021) A fuzzy deep predictive analytics approach for enhancing cycle time range estimation precision in wafer fabrication. Decision Analytics Journal 1, pages 100010.
Crossref
Crossref
Xingwang Shen, Shimin Liu, Can Zhang & Jinsong Bao. (2021) Intelligent material distribution and optimization in the assembly process of large offshore crane lifting equipment. Computers & Industrial Engineering 159, pages 107496.
Crossref
Crossref
Gyu M. Lee & Xuehong Gao. (2021) A Hybrid Approach Combining Fuzzy c-Means-Based Genetic Algorithm and Machine Learning for Predicting Job Cycle Times for Semiconductor Manufacturing. Applied Sciences 11:16, pages 7428.
Crossref
Crossref
Tin-Chih Toly Chen & Yu-Cheng Wang. (2021) Fuzzy dynamic-prioritization agent-based system for forecasting job cycle time in a wafer fabrication plant. Complex & Intelligent Systems 7:4, pages 2141-2154.
Crossref
Crossref
Kuo-Hao Chang, Chi-Chih Tsai, Chih-Hung Wang, Chung-Jung Chen & Chih-Ming Lin. (2021) Optimizing the energy efficiency of chiller systems in the semiconductor industry through big data analytics and an empirical study. Journal of Manufacturing Systems 60, pages 652-661.
Crossref
Crossref
Yu-Cheng Wang, Horng-Ren Tsai & Toly Chen. (2021) A Selectively Fuzzified Back Propagation Network Approach for Precisely Estimating the Cycle Time Range in Wafer Fabrication. Mathematics 9:12, pages 1430.
Crossref
Crossref
Marvin Carl May, Alexander Albers, Marc David Fischer, Florian Mayerhofer, Louis Schäfer & Gisela Lanza. (2021) Queue Length Forecasting in Complex Manufacturing Job Shops. Forecasting 3:2, pages 322-338.
Crossref
Crossref
Lixin Cheng, Qiuhua Tang, Zikai Zhang & Shiqian Wu. (2020) Data mining for fast and accurate makespan estimation in machining workshops. Journal of Intelligent Manufacturing 32:2, pages 483-500.
Crossref
Crossref
Hongyang Li, Xiangping Bu, Xiaojie Liu, Xin Li, Hongwei Li, Fulong Liu & Qing Lyu. (2021) Evaluation and Prediction of Blast Furnace Status Based on Big Data Platform of Ironmaking and Data Mining. ISIJ International 61:1, pages 108-118.
Crossref
Crossref
Rakesh D. Raut, Sachin Kumar Mangla, Vaibhav S. Narwane, Manoj Dora & Mengqi Liu. (2021) Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains. Transportation Research Part E: Logistics and Transportation Review 145, pages 102170.
Crossref
Crossref
Georg Seidel, Ching Foong Lee, Aik Ying Tang, Soo Leen Low, Boon Ping Gan & Wolfgang Scholl. (2020) Challenges Associated with Realization of Lot Level Fab Out Forecast in a Giga Wafer Fabrication Plant. Challenges Associated with Realization of Lot Level Fab Out Forecast in a Giga Wafer Fabrication Plant.
Shan Hu & Liang Zhou. (2020) Prediction of order completion time based on the BP neural network optimized by GASA. Prediction of order completion time based on the BP neural network optimized by GASA.
Wei Qin, Dongye Zha & Jie Zhang. (2018) An effective approach for causal variables analysis in diesel engine production by using mutual information and network deconvolution. Journal of Intelligent Manufacturing 31:7, pages 1661-1671.
Crossref
Crossref
Dong‐Hee Lee, Jin‐Kyung Yang & Kwang‐Jae Kim. (2020) Multiresponse optimization of a multistage manufacturing process using a patient rule induction method. Quality and Reliability Engineering International 36:6, pages 1982-2002.
Crossref
Crossref
Zilong Zhuang, Liangxun Guo, Zizhao Huang, Yanning Sun, Wei Qin & Zhao-Hui Sun. (2020) DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process. Journal of Intelligent Manufacturing.
Crossref
Crossref
WenBo Du, Zhixiang Zhu, Chuang Wang & Zhifeng Yue. (2020) The Real-time Big Data Processing Method Based on LSTM for the Intelligent Workshop Production Process. The Real-time Big Data Processing Method Based on LSTM for the Intelligent Workshop Production Process.
Junliang Wang, Peng Zheng & Jie Zhang. (2020) Big data analytics for cycle time related feature selection in the semiconductor wafer fabrication system. Computers & Industrial Engineering 143, pages 106362.
Crossref
Crossref
Hafiz Suliman Munawar, Siddra Qayyum, Fahim Ullah & Samad Sepasgozar. (2020) Big Data and Its Applications in Smart Real Estate and the Disaster Management Life Cycle: A Systematic Analysis. Big Data and Cognitive Computing 4:2, pages 4.
Crossref
Crossref
Junliang Wang, Chuqiao Xu, Jie Zhang, Jingsong Bao & Ray Zhong. (2020) A collaborative architecture of the industrial internet platform for manufacturing systems. Robotics and Computer-Integrated Manufacturing 61, pages 101854.
Crossref
Crossref
Chuang Wang, Wenbo Du, Zhixiang Zhu & Zhifeng Yue. (2020) The real-time big data processing method based on LSTM or GRU for the smart job shop production process. Journal of Algorithms & Computational Technology 14, pages 174830262096239.
Crossref
Crossref
Maximilian Dilefeld, Sebastian Rank & Thorsten Schmidt. 2020. Digital Transformation in Semiconductor Manufacturing. Digital Transformation in Semiconductor Manufacturing
35
42
.
Shijie Guo, Shufeng Tang & Dongsheng Zhang. (2019) A Recognition Methodology for the Key Geometric Errors of a Multi-Axis Machine Tool Based on Accuracy Retentivity Analysis. Complexity 2019, pages 1-21.
Crossref
Crossref
Junliang Wang, Zhengliang Yang, Jie Zhang, Qihua Zhang & Wei-Ting Kary Chien. (2019) AdaBalGAN: An Improved Generative Adversarial Network With Imbalanced Learning for Wafer Defective Pattern Recognition. IEEE Transactions on Semiconductor Manufacturing 32:3, pages 310-319.
Crossref
Crossref
Junliang Wang, Peng Zheng, Youlong Lv, Jingsong Bao & Jie Zhang. (2019) Fog-IBDIS: Industrial Big Data Integration and Sharing with Fog Computing for Manufacturing Systems. Engineering 5:4, pages 662-670.
Crossref
Crossref
German Terrazas, Nicolas Ferry & Svetan Ratchev. (2019) A cloud-based framework for shop floor big data management and elastic computing analytics. Computers in Industry 109, pages 204-214.
Crossref
Crossref
Rameshwar Dubey, Angappa Gunasekaran, Stephen J. Childe, Constantin Blome & Thanos Papadopoulos. (2019) Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culture. British Journal of Management 30:2, pages 341-361.
Crossref
Crossref
Liling Zuo, Xin Liu, Junjie He, Junliang Wang, Peng Zheng & Jie Zhang. (2019) An Improved AdaBoost Tree-Based Method for Defective Products Identification in Wafer Test. An Improved AdaBoost Tree-Based Method for Defective Products Identification in Wafer Test.
Mondher Feki. 2019. Business Transformations in the Era of Digitalization. Business Transformations in the Era of Digitalization
106
124
.
Shafiq Ahmad, Ahmed Badwelan, Atef M. Ghaleb, Ammar Qamhan, Mohamed Sharaf, Moath Alatefi & Ammar Moohialdin. (2018) Analyzing Critical Failures in a Production Process: Is Industrial IoT the Solution?. Wireless Communications and Mobile Computing 2018, pages 1-12.
Crossref
Crossref
Truong Nguyen, Li ZHOU, Virginia Spiegler, Petros Ieromonachou & Yong Lin. (2018) Big data analytics in supply chain management: A state-of-the-art literature review. Computers & Operations Research 98, pages 254-264.
Crossref
Crossref
Shengping Lv, Hoyeol Kim, Binbin Zheng & Hong Jin. (2018) A Review of Data Mining with Big Data towards Its Applications in the Electronics Industry. Applied Sciences 8:4, pages 582.
Crossref
Crossref
Junliang Wang, Jie Zhang & Xiaoxi Wang. (2018) Bilateral LSTM: A Two-Dimensional Long Short-Term Memory Model With Multiply Memory Units for Short-Term Cycle Time Forecasting in Re-entrant Manufacturing Systems. IEEE Transactions on Industrial Informatics 14:2, pages 748-758.
Crossref
Crossref
M. López-Campos, F. Kristjanpoller, P. Viveros & R. Pascual. (2018) Reliability Assessment Methodology for Massive Manufacturing Using Multi-Function Equipment. Complexity 2018, pages 1-8.
Crossref
Crossref
Peng Zhang, Xinming Zhao, Xia Sheng & Jie Zhang. (2018) An Imperialist Competitive Algorithm Incorporating Remaining Cycle Time Prediction for Photolithography Machines Scheduling. IEEE Access 6, pages 66787-66797.
Crossref
Crossref
Dong-Hee Lee & Jin-Kyung Yang. 2018. Computational Science and Its Applications – ICCSA 2018. Computational Science and Its Applications – ICCSA 2018
598
610
.
Purva Grover & Arpan Kumar Kar. (2017) Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature. Global Journal of Flexible Systems Management 18:3, pages 203-229.
Crossref
Crossref
Liam Y. Hsieh, Edward Huang & Chun-Hung Chen. (2017) Equipment Utilization Enhancement in Photolithography Area Through a Dynamic System Control Using Multi-Fidelity Simulation Optimization With Big Data Technique. IEEE Transactions on Semiconductor Manufacturing 30:2, pages 166-175.
Crossref
Crossref