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Smart manufacturing must embrace big data

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Cited by:

  1. Mingxing Li & Ray Y. Zhong & Ting Qu & George Q. Huang, 2022. "Spatial–temporal out-of-order execution for advanced planning and scheduling in cyber-physical factories," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1355-1372, June.
  2. David Lechevalier & Seung-Jun Shin & Sudarsan Rachuri & Sebti Foufou & Y. Tina Lee & Abdelaziz Bouras, 2019. "Simulating a virtual machining model in an agent-based model for advanced analytics," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1937-1955, April.
  3. Zhe Li & Yi Wang & Kesheng Wang, 2020. "A data-driven method based on deep belief networks for backlash error prediction in machining centers," Journal of Intelligent Manufacturing, Springer, vol. 31(7), pages 1693-1705, October.
  4. Julian Senoner & Torbjørn Netland & Stefan Feuerriegel, 2022. "Using Explainable Artificial Intelligence to Improve Process Quality: Evidence from Semiconductor Manufacturing," Management Science, INFORMS, vol. 68(8), pages 5704-5723, August.
  5. Olumide Emmanuel Oluyisola & Swapnil Bhalla & Fabio Sgarbossa & Jan Ola Strandhagen, 2022. "Designing and developing smart production planning and control systems in the industry 4.0 era: a methodology and case study," Journal of Intelligent Manufacturing, Springer, vol. 33(1), pages 311-332, January.
  6. Yuan, Yuxing & Na, Hongming & Chen, Chuang & Qiu, Ziyang & Sun, Jingchao & Zhang, Lei & Du, Tao & Yang, Yuhang, 2024. "Status, challenges, and prospects of energy efficiency improvement methods in steel production: A multi-perspective review," Energy, Elsevier, vol. 304(C).
  7. Zhiyuan Fu & Ghulam Rasool Madni, 2024. "Unveiling the affecting mechanism of digital transformation on total factor productivity of Chinese firms," PLOS ONE, Public Library of Science, vol. 19(2), pages 1-23, February.
  8. Yanning Sun & Wei Qin & Zilong Zhuang & Hongwei Xu, 2021. "An adaptive fault detection and root-cause analysis scheme for complex industrial processes using moving window KPCA and information geometric causal inference," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 2007-2021, October.
  9. Maximilian Zarte & Agnes Pechmann & Isabel L. Nunes, 2022. "Problems, Needs, and Challenges of a Sustainability-Based Production Planning," Sustainability, MDPI, vol. 14(7), pages 1-19, March.
  10. Runyu Zhang & Yingjian Liu & Thomas Zheng & Sarah Eddin & Steven Nolet & Yi-Ling Liang & Shaghayegh Rezazadeh & Joseph Wilson & Hongbing Lu & Dong Qian, 2024. "A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling," Journal of Intelligent Manufacturing, Springer, vol. 35(4), pages 1737-1764, April.
  11. Li, Mingxing & Huang, George Q., 2021. "Production-intralogistics synchronization of industry 4.0 flexible assembly lines under graduation intelligent manufacturing system," International Journal of Production Economics, Elsevier, vol. 241(C).
  12. Zhang, Yunqi & Zhang, Xiaoyu, 2024. "Regulation-induced digitalization," China Economic Review, Elsevier, vol. 88(C).
  13. Chao Huang & Siqi Bu & Hiu Hung Lee & Kwong Wah Chan & Winco K. C. Yung, 2024. "Prognostics and health management for induction machines: a comprehensive review," Journal of Intelligent Manufacturing, Springer, vol. 35(3), pages 937-962, March.
  14. Vedpal Arya & S. G. Deshmukh & Naresh Bhatnagar, 2019. "Product quality in an inclusive manufacturing system: some considerations," Journal of Intelligent Manufacturing, Springer, vol. 30(8), pages 2871-2884, December.
  15. Wei Ji & Shubin Yin & Lihui Wang, 2019. "A big data analytics based machining optimisation approach," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1483-1495, March.
  16. Yuming Zhang & Han Liu & Shuang Li & Chao Xing, 2023. "The Digital Transformation Effect in Trade Credit Uptake: The Buyer Perspective," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(7), pages 2056-2078, May.
  17. Ning Ge & Guanghao Li & Li Zhang & Yi Liu, 2022. "Failure prediction in production line based on federated learning: an empirical study," Journal of Intelligent Manufacturing, Springer, vol. 33(8), pages 2277-2294, December.
  18. Kangqi Jiang & Lulu Chen & Jiayun Li & Xinyi Du, 2025. "The risk effects of corporate digitalization: exacerbate or mitigate?," Palgrave Communications, Palgrave Macmillan, vol. 12(1), pages 1-19, December.
  19. Shanhe Lou & Yixiong Feng & Hao Zheng & Yicong Gao & Jianrong Tan, 2020. "Data-driven customer requirements discernment in the product lifecycle management via intuitionistic fuzzy sets and electroencephalogram," Journal of Intelligent Manufacturing, Springer, vol. 31(7), pages 1721-1736, October.
  20. Timo Bänziger & Andreas Kunz & Konrad Wegener, 2020. "Optimizing human–robot task allocation using a simulation tool based on standardized work descriptions," Journal of Intelligent Manufacturing, Springer, vol. 31(7), pages 1635-1648, October.
  21. Shiguang Li & Yixiang Tian, 2023. "How Does Digital Transformation Affect Total Factor Productivity: Firm-Level Evidence from China," Sustainability, MDPI, vol. 15(12), pages 1-17, June.
  22. Juan Pablo Usuga Cadavid & Samir Lamouri & Bernard Grabot & Robert Pellerin & Arnaud Fortin, 2020. "Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0," Journal of Intelligent Manufacturing, Springer, vol. 31(6), pages 1531-1558, August.
  23. Zhao, Guanjia & Cui, Zhipeng & Xu, Jing & Liu, Wenhao & Ma, Suxia, 2022. "Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit," Energy, Elsevier, vol. 254(PC).
  24. Chaohong Na & Xue Chen & Xiaojun Li & Yuting Li & Xiaolan Wang, 2022. "Digital Transformation of Value Chains and CSR Performance," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
  25. Dongyu Zhao & Man Wang, 2024. "Smart Manufacturing Promotes High-Quality Development of Enterprises in China," Sustainability, MDPI, vol. 16(23), pages 1-20, November.
  26. Mario Vozza & Joseph Polden & Giulio Mattera & Gianfranco Piscopo & Silvestro Vespoli & Luigi Nele, 2024. "Explaining the Anomaly Detection in Additive Manufacturing via Boosting Models and Frequency Analysis," Mathematics, MDPI, vol. 12(21), pages 1-17, October.
  27. Senthil Sundaramoorthy & Dipti Kamath & Sachin Nimbalkar & Christopher Price & Thomas Wenning & Joseph Cresko, 2023. "Energy Efficiency as a Foundational Technology Pillar for Industrial Decarbonization," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
  28. Carlos A. Escobar & Megan E. McGovern & Ruben Morales-Menendez, 2021. "Quality 4.0: a review of big data challenges in manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 32(8), pages 2319-2334, December.
  29. Linlin Fan & Jinghua Ou & Gongyan Yang & Shujie Yao, 2024. "Digitalization and outward foreign direct investment of Chinese listed firms," Review of International Economics, Wiley Blackwell, vol. 32(2), pages 604-634, May.
  30. Yantai Chen & Jing Li & Jingwen Zhang, 2024. "Digitalisation, data-driven dynamic capabilities and responsible innovation: An empirical study of SMEs in China," Asia Pacific Journal of Management, Springer, vol. 41(3), pages 1211-1251, September.
  31. Zeng, Huixiang & Ran, Hangxin & Zhou, Qiong & Jin, Youliang & Cheng, Xu, 2022. "The financial effect of firm digitalization: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
  32. Wang, Linhui & Chen, Qi & Dong, Zhiqing & Cheng, Lu, 2024. "The role of industrial intelligence in peaking carbon emissions in China," Technological Forecasting and Social Change, Elsevier, vol. 199(C).
  33. Mohammad Reza Khosravani & Sara Nasiri, 2020. "Injection molding manufacturing process: review of case-based reasoning applications," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 847-864, April.
  34. Lu, Shixiang & Xu, Qifa & Jiang, Cuixia & Liu, Yezheng & Kusiak, Andrew, 2022. "Probabilistic load forecasting with a non-crossing sparse-group Lasso-quantile regression deep neural network," Energy, Elsevier, vol. 242(C).
  35. Qianhui Wu & Keqin Ding & Biqing Huang, 2020. "Approach for fault prognosis using recurrent neural network," Journal of Intelligent Manufacturing, Springer, vol. 31(7), pages 1621-1633, October.
  36. Shiquan Ling & Daqiang Guo & Mingxing Li & Yiming Rong & George Q. Huang, 2024. "Heterogeneous demand–capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 539-554, February.
  37. Muhammad Hassan & Marcus Svadling & Niclas Björsell, 2024. "Experience from implementing digital twins for maintenance in industrial processes," Journal of Intelligent Manufacturing, Springer, vol. 35(2), pages 875-884, February.
  38. Andrew Kusiak, 2019. "Editorial: Intelligent manufacturing: bridging two centuries," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 1-2, January.
  39. Wang, Di & He, Bin & Hu, Zhimu, 2024. "Financial technology and firm productivity: Evidence from Chinese listed enterprises," Finance Research Letters, Elsevier, vol. 63(C).
  40. Chen, Wenchong & Gong, Xuejian & Rahman, Humyun Fuad & Liu, Hongwei & Qi, Ershi, 2021. "Real-time order acceptance and scheduling for data-enabled permutation flow shops: Bilevel interactive optimization with nonlinear integer programming," Omega, Elsevier, vol. 105(C).
  41. Seon Han Choi & Byeong Soo Kim, 2025. "Intelligent factory layout design framework through collaboration between optimization, simulation, and digital twin," Journal of Intelligent Manufacturing, Springer, vol. 36(3), pages 1547-1561, March.
  42. Barbara Aquilani & Michela Piccarozzi & Tindara Abbate & Anna Codini, 2020. "The Role of Open Innovation and Value Co-creation in the Challenging Transition from Industry 4.0 to Society 5.0: Toward a Theoretical Framework," Sustainability, MDPI, vol. 12(21), pages 1-21, October.
  43. Yixiao Zhao & Yihai He & Fengdi Liu & Xiao Han & Anqi Zhang & Di Zhou & Yao Li, 2020. "Operational risk modeling based on operational data fusion for multi-state manufacturing systems," Journal of Risk and Reliability, , vol. 234(2), pages 407-421, April.
  44. Wei Fang & Lianyu Zheng, 2020. "Shop floor data-driven spatial–temporal verification for manual assembly planning," Journal of Intelligent Manufacturing, Springer, vol. 31(4), pages 1003-1018, April.
  45. Xifan Yao & Nanfeng Ma & Jianming Zhang & Kesai Wang & Erfu Yang & Maurizio Faccio, 2024. "Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 235-255, January.
  46. Guo, Daqiang & Li, Mingxing & Lyu, Zhongyuan & Kang, Kai & Wu, Wei & Zhong, Ray Y. & Huang, George Q., 2021. "Synchroperation in industry 4.0 manufacturing," International Journal of Production Economics, Elsevier, vol. 238(C).
  47. Hao Sun & Shengqiang Zhao & Fangyu Peng & Rong Yan & Lin Zhou & Teng Zhang & Chi Zhang, 2024. "In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 387-411, January.
  48. Farzam Farbiz & Mohd Salahuddin Habibullah & Brahim Hamadicharef & Tomasz Maszczyk & Saurabh Aggarwal, 2023. "Knowledge-embedded machine learning and its applications in smart manufacturing," Journal of Intelligent Manufacturing, Springer, vol. 34(7), pages 2889-2906, October.
  49. Tao Feng, 2023. "Do Intelligent Manufacturing Concerns Promote Corporate Sustainability? Based on the Perspective of Green Innovation," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
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