Research on the Construction Technology of Capacity Evaluation Model for Aircraft Manufacturing Production Line
- DOI
- 10.2991/978-94-6463-736-6_21How to use a DOI?
- Keywords
- Discrete production line; capacity evaluation; time effectiveness; index factors
- Abstract
A method for constructing a time efficient capability model for aircraft manufacturing production lines is proposed through the study of the constituent elements of production line capacity. It studies the factors that affect the efficiency of production line resource output, formulates the principles for determining indicator factors, assignment ranges, and assignment methods, and establishes the capability evaluation model structure composed of three layers of index factors: standard leniency, appropriate leniency, and extended leniency. Taking time effectiveness as basal axis, two types of production capacity evaluation models are ultimately formed: production resource dimension (equipment, manpower) and production organization dimension (production line, production unit, production plant), and based on an example of a certain enterprise, the feasibility of calculating production capacity based on the model is verified.
- Copyright
- © 2025 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 - Haijun Yin AU - Yuning Wang AU - Shihao Liu AU - Xin Pan AU - Chunpeng Sha AU - Qiang Tong PY - 2025 DA - 2025/05/22 TI - Research on the Construction Technology of Capacity Evaluation Model for Aircraft Manufacturing Production Line BT - Proceedings of the 2025 4th International Conference on Engineering Management and Information Science (EMIS 2025) PB - Atlantis Press SP - 175 EP - 187 SN - 2352-538X UR - https://doi.org/10.2991/978-94-6463-736-6_21 DO - 10.2991/978-94-6463-736-6_21 ID - Yin2025 ER -