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International Journal of Computer Integrated Manufacturing Volume 35, 2022 - Issue 10-11: Data-Driven Modeling and Analytics for Optimization of Complex Manufacturing Systems
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Research Article

A data-driven robust optimization method for the assembly job-shop scheduling problem under uncertainty

Peng Zhenga School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, ChinaView further author information
,
Peng Zhangb College of Mechanical Engineering, Donghua University, Shanghai, ChinaView further author information
,
Junliang Wangb College of Mechanical Engineering, Donghua University, Shanghai, ChinaView further author information
,
Jie Zhangb College of Mechanical Engineering, Donghua University, Shanghai, ChinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-6215-0237View further author information
ORCID Icon,
Changqi Yangc Shanghai Spaceflight Precision Machinery Institute, Shanghai, ChinaView further author information
&
Yongqiao Jinc Shanghai Spaceflight Precision Machinery Institute, Shanghai, ChinaView further author information
Pages 1043-1058 | Received 06 Apr 2020, Accepted 12 Jul 2020, Published online: 10 Aug 2020

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Muhammad Waseem, Chen Li & Qing Chang. (2023) Dynamic modeling and analysis of multi-product flexible production line. International Journal of Computer Integrated Manufacturing 0:0, pages 1-15.
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Slavenko M. Stojadinovic, Sasa Zivanovic, Nikola Slavkovic & Numan M. Durakbasa. (2021) Digital measurement twin for CMM inspection based on step-NC. International Journal of Computer Integrated Manufacturing 34:12, pages 1327-1347.
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Shiwei Pan, Yiming Ma, Yiyuan Wang, Zhiguo Zhou, Jinchao Ji, Minghao Yin & Shuli Hu. (2022) An improved master-apprentice evolutionary algorithm for minimum independent dominating set problem. Frontiers of Computer Science 17:4.
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Bitao Yao, Wenjun Xu, Tong Shen, Xun Ye & Sisi Tian. (2023) Digital twin-based multi-level task rescheduling for robotic assembly line. Scientific Reports 13:1.
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Shichang Xiao, Zigao Wu & Hongyan Dui. (2022) Resilience-Based Surrogate Robustness Measure and Optimization Method for Robust Job-Shop Scheduling. Mathematics 10:21, pages 4048.
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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.
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Yoo Ho Son, Goo-Young Kim, Hyeon Chan Kim, Chanmo Jun & Sang Do Noh. (2022) Past, present, and future research of digital twin for smart manufacturing. Journal of Computational Design and Engineering 9:1, pages 1-23.
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Zi-Yue Wang & Cong Lu. (2021) An integrated job shop scheduling and assembly sequence planning approach for discrete manufacturing. Journal of Manufacturing Systems 61, pages 27-44.
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Peng Zheng, Peng Zhang, Ming Wang & Jie Zhang. (2021) A Data-Driven Robust Scheduling Method Integrating Particle Swarm Optimization Algorithm with Kernel-Based Estimation. Applied Sciences 11:12, pages 5333.
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Raoudha Gaha, Alexandre Durupt & Benoit Eynard. (2021) Towards the implementation of the Digital Twin in CMM inspection process: opportunities, challenges and proposals. Procedia Manufacturing 54, pages 216-221.
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