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AI based study on product development and process design

Author

Listed:
  • Ying Lei

    (Lanzhou City University)

  • Sonali Vyas

    (University of Petroleum and Energy Studies)

  • Shaurya Gupta

    (Chandigarh University)

  • Mohammad Shabaz

    (Chandigarh University)

Abstract

With the advancement in technology the environment of modern product design has also undergone significant changes, which are mainly reflected in the following aspects: The product life cycle is shortened, the user demand tends to be personalized, and the proportion of multivariate small batch production increases To avoid the problems existing in product development and process design, an Artificial intelligence design model based on nonlinear programming is established, and then transformed into a linear programming problem while solving. Nonlinear programming helps to find the extreme of a function under a set of equality and inequality constraints and then is transformed to linear programming problem using AI. Finally, the design and implementation process of the RH alloying model are described. The results show that making full use of the rich design and cultural resources provided by contemporary information technology, designing and creating products with more human nature connotations can not only improve people’s application ability to high and new technologies, but also enrich people’s cultural and emotional life. The effectiveness of the algorithm and the superiority of the software operation are proved by an application example.

Suggested Citation

  • Ying Lei & Sonali Vyas & Shaurya Gupta & Mohammad Shabaz, 2022. "AI based study on product development and process design," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(1), pages 305-311, March.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:1:d:10.1007_s13198-021-01404-4
    DOI: 10.1007/s13198-021-01404-4
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    References listed on IDEAS

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    1. Kapil Jairath & Navdeep Singh & Vishal Jagota & Mohammad Shabaz, 2021. "Compact Ultrawide Band Metamaterial-Inspired Split Ring Resonator Structure Loaded Band Notched Antenna," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, May.
    2. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
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