Research on the Transformation of Engineering Cost Management Driven by Information Technology

Authors

  • Lin Dong Administrative Support Division, Beijing Aerospace Propulsion Institute, Beijing 100076, China
  • Hui Zhao Administrative Support Division, Beijing Aerospace Propulsion Institute, Beijing 100076, China

DOI:

https://doi.org/10.70767/jmec.v3i3.1009

Abstract

Given the large scale and complexity of the modern construction engineering system today, good management of engineering costs can directly affect the economic benefits for investors and the efficiency of using society's resources. For a long time, the calculation of domestic engineering costs has been done manually based on empirical estimation and decentralized spreadsheet processing. The traditional way is not only slow and labour-intensive, but it is also very prone to human error; therefore, there is poor information sharing and serious data isolation, and it cannot meet the high demand for dynamic cost control in modern engineering projects. With the development of the new round of the technological revolution, big data, artificial intelligence, Building Information Modelling (BIM) and cloud computing, etc., have all developed rapidly and provided new ways to solve the persistent problems in cost management. With the addition of digital technology, the cost data will be collected in real time, analysed in detail, and the results of the study will be shared with everyone. Therefore, in order to learn how far information technology has been applied in the management of engineering costs, this paper will investigate the current application conditions and existing problems, and put forward corresponding countermeasures to promote the transformation and upgrading of the industry. This is not only the introduction of new technology but also a change in the basic ideas of management and operation; therefore, the engineering-cost industry has moved from a "labour-intensive" mode to a "technology-intensive" mode with intelligent decision-making.

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Published

2026-04-13

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Section

Articles