MOPSO-Based Research on Manufacturing Process Optimization in Process Industry

  • XueSong JiangEmail author
  • DongWang Li
  • XiuMei Wei
  • Jian Wang
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 905)


To deal with the conflict between multiple targets involved in the manufacturing process of the process industry, multi-objective particle swarm optimization (MOPSO) is used to solve the optimization problem among multiple objectives. Basing on the manufacturing process analysis of the process industry and with the background of the cement manufacturing process of a process industry, two objective functions, which are the total processing cost and the integrated error of the mineral content in the cement compared to the standard, are established, and the concrete realization process of algorithm is given. The results of the example analysis show that when using the results by means of MOPSO algorithm to guide the production, it not only can improve the product performance index, but also can reduce the cost required as much as possible with the same performance indicators. Therefore, it is feasible to use the MOPSO algorithm to optimize the multi-objectives involved in the manufacturing process.


Process industry Particle swarm optimization Manufacturing process optimization 



This work was supported by Key Research and Development Plan Project of Shandong Province, China (No. 2017GGX201001).


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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • XueSong Jiang
    • 1
    Email author
  • DongWang Li
    • 1
  • XiuMei Wei
    • 1
  • Jian Wang
    • 2
  1. 1.Qilu University of Technology (Shandong Academy of Sciences)JinanChina
  2. 2.Shandong College of Information TechnologyWeifangChina

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