Comprehensive Cost Knowledge Graph and Cost Analysis Model Design for Manufacturing Enterprises
- DOI
- 10.2991/978-94-6463-676-5_8How to use a DOI?
- Keywords
- Cost Management; Knowledge Graph; Comprehensive Cost
- Abstract
Under the current global economic situation and technological development, accurate information-based cost management is crucial for enterprises to enhance their core competitiveness; at the same time, with the development of information technologies such as AI, cost management should develop in the direction of intelligence. This paper collects concepts from different data sources and establishes a structured knowledge graph model. Then, based on the constructed knowledge graph, a comprehensive cost analysis model is designed to deeply explore the relationship between cost elements. This comprehensive cost analysis method can provide a scientific basis for enterprise cost control and optimization, and has practical significance for optimizing cost structure and improving management efficiency. With the advancement of technology, this method is expected to be more widely used in enterprise cost management.
- 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 - Yijing Li PY - 2025 DA - 2025/04/15 TI - Comprehensive Cost Knowledge Graph and Cost Analysis Model Design for Manufacturing Enterprises BT - Proceedings of the 2024 6th Management Science Informatization and Economic Innovation Development Conference (MSIEID 2024) PB - Atlantis Press SP - 70 EP - 77 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-676-5_8 DO - 10.2991/978-94-6463-676-5_8 ID - Li2025 ER -