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Multi-objective production scheduling optimization and management control system of complex aerospace components: a review

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Abstract

There is no denying smart manufacturing is a critical step in responding to a new round of energy crises and promoting the high-quality development of the manufacturing industry, among which, the construction of intelligent production lines is the key link. In the practical production of complex aerospace components, production scheduling optimization plays an important role in achieving cost savings and energy reduction for a range of existing problems, such as cumbersome process design, difficult real-time scheduling adjustment, inefficient quality data testing, and complex interrelationships of state-type data. In this work, the optimization of scheduling objective, the selection of scheduling method, and the construction of scheduling management control system are the pointcuts to review the recent development of production scheduling optimization, systematically. The research on the more practical implications of multi-objective production scheduling optimization has shown that efficiency and energy consumption are the primary priorities of scheduling objectives. Scheduling rules and heuristic algorithms are the crucial research methods. Intelligent information technologies are an effective means to decrease the complexity of scheduling. Meanwhile, building intelligent management control systems for production scheduling is of great significance for the transformation and upgrading of production from digitalization to intelligence.

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Funding

This work was supported by the National Key Research and Development Program of China (No. 2019YFB1704500), the National Natural Science Foundation of China (Grant No. 51905395, 52175360, 51805393), the National innovation and entrepreneurship training program for college students(202210497073), the Natural Science Foundation of Hubei Province (Grant No. 2020CFB550), the Young Elite Scientists Sponsorship Program by CAST (2021QNRC001), the 111 Project (B17034), and the Innovative Research Team Development Program of Ministry of Education of China (IRT_17R83).

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Authors and Affiliations

  1. Hubei Key Laboratory of Advanced Technology for Automotive Components, Wuhan University of Technology, Wuhan, 430070, China

    Huijuan Ma, Xiang Huang, Zhili Hu, Yizhe Chen, Dongsheng Qian, Jiadong Deng & Lin Hua

  2. Hubei Collaborative Innovation Center for Automotive Components Technology, Wuhan, 430070, China

    Huijuan Ma, Xiang Huang, Zhili Hu, Yizhe Chen, Jiadong Deng & Lin Hua

  3. Hubei Research Center for New Energy & Intelligent Connected Vehicle, Wuhan, 430070, China

    Huijuan Ma, Xiang Huang, Zhili Hu, Yizhe Chen, Jiadong Deng & Lin Hua

  4. School of Materials Science and Engineering, Wuhan University of Technology, Wuhan, 430070, China

    Dongsheng Qian

  5. Wuxi Paike New Material Technology Co., Ltd, Wuxi, 214161, China

    Jiadong Deng

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  1. Huijuan Ma
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  2. Xiang Huang
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  3. Zhili Hu
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  7. Lin Hua
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Contributions

Huijuan Ma: investigation; writing, original draft; funding acquisition. Xiang Huang: writing, original draft; visualization. Jiadong Deng: writing—review and editing. Zhili Hu: writing, original draft; conceptualization; supervision; project administration. Yizhe Chen: conceptualization and writing—review and editing. Lin Hua: writing, review and editing; funding acquisition. All authors read and approved the final manuscript.

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Correspondence to Zhili Hu or Yizhe Chen.

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Ma, H., Huang, X., Hu, Z. et al. Multi-objective production scheduling optimization and management control system of complex aerospace components: a review. Int J Adv Manuf Technol 127, 4973–4993 (2023). https://doi.org/10.1007/s00170-023-11707-4

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