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Analyzing Textile Industry by Linear Programming

In: Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022)

Author

Listed:
  • Zhaoxiang Feng

    (Greensboro Day School)

  • Ruokai Wang

    (Pui Kiu College)

  • Xijun Huang

    (The State University of New Jersey)

  • Xiao Jiang

    (Queen Mary University of London)

  • Yanru Liu

    (Xi’an Gaoxin)

Abstract

In this paper, we are trying to optimize the production in the Textile industry with linear programming. To achieve this goal, we need to have a detailed understanding of the various demand factors in the production process, including the capital, production consumption, and quantity of raw materials. With the production data collected from the textile industry, we tested the linear programming model. The result has proven that such a strategy can optimize production methods and maximize profit.

Suggested Citation

  • Zhaoxiang Feng & Ruokai Wang & Xijun Huang & Xiao Jiang & Yanru Liu, 2022. "Analyzing Textile Industry by Linear Programming," Advances in Economics, Business and Management Research, in: Yushi Jiang & Yuriy Shvets & Hrushikesh Mallick (ed.), Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022), pages 1459-1463, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-036-7_216
    DOI: 10.2991/978-94-6463-036-7_216
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