Analyzing Textile Industry by Linear Programming
Authors
Zhaoxiang Feng1, Ruokai Wang2, Xijun Huang3, Xiao Jiang4, *, Yanru Liu5
1Greensboro Day School, Lawndale Drive, Greensboro, NC, USA
2Pui Kiu College, New Territories, 1 Tai Wai New Village Road, Tai Wai, ShatinHong Kong, China
3The State University of New Jersey, 57 US Highway 1, New Brunswick, NJ, 08901-8554, USA
4Queen Mary University of London, Mile End Road, London, 1 4NS, UK
5Xi’an Gaoxin, No.1 high school, 23, Tangyan Road, Gaoxin District, Xi’an City, Shaanxi Province, 710065, China
*Corresponding author.
Email: j1007099427@gmail.com
Corresponding Author
Xiao Jiang
Available Online 31 December 2022.
- DOI
- 10.2991/978-94-6463-036-7_216How to use a DOI?
- Keywords
- Manufacturing; Linear Programming; Textile
- 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.
- Copyright
- © 2022 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Zhaoxiang Feng AU - Ruokai Wang AU - Xijun Huang AU - Xiao Jiang AU - Yanru Liu PY - 2022 DA - 2022/12/31 TI - Analyzing Textile Industry by Linear Programming BT - Proceedings of the 2022 2nd International Conference on Economic Development and Business Culture (ICEDBC 2022) PB - Atlantis Press SP - 1459 EP - 1463 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-036-7_216 DO - 10.2991/978-94-6463-036-7_216 ID - Feng2022 ER -