Application and Effectiveness Analysis of Artificial Intelligence Technology in Engineering Management Decision-Making

DOI

10.2991/978-94-6239-652-4_18How to use a DOI?

Keywords

Artificial intelligence; Engineering management; Decision-making effectiveness; Performance evaluation; Implementation optimization

Abstract

This research uncovers the use and effectiveness of artificial intelligence (AI) technology tools for decision-making in engineering management, based on an empirical study of 45 projects conducted during 2020–2024, involving the construction and manufacturing sectors. With the help of an extensive evaluation framework that covers schedule control, cost management, quality control, and risk management, there are visible improvement levels. AI-integrated tools exhibited schedule accuracy of 91.7%, compared to 77.3% for conventional non-AI tools, and decreased the cycle times by 69%, while averaging cost savings of $847,000 per project. The hierarchical model of effectiveness evaluation analyzes the collective effects for seven major factors, with an average weighted improvement of 56.3%. Despite the demonstrated benefits, implementation barriers including data quality deficiencies, technical infrastructure limitations, and organizational resistance constrain widespread adoption. However, integration challenges are reduced by 73% if optimization processes, involving data management, infrastructure upgrades, and organizational processes adjustments, are implemented.

Copyright

© 2026 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.

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TY  - CONF
AU  - Yu Fang
PY  - 2026
DA  - 2026/04/19
TI  - Application and Effectiveness Analysis of Artificial Intelligence Technology in Engineering Management Decision-Making
BT  - Proceedings of the  2026 5th International Conference on Engineering Management and Information Science (EMIS 2026)
PB  - Atlantis Press
SP  - 167
EP  - 179
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-652-4_18
DO  - 10.2991/978-94-6239-652-4_18
ID  - Fang2026
ER  -