Comprehensive Evaluation of Process Reengineering Effect of Power Grid Functional Departments Empowered by AI

DOI

10.2991/978-94-6239-774-3_31How to use a DOI?

Keywords

Artificial Intelligence; Power Grid Functional Department; Business Process Reengineering; Stock Human Resource; Improved TOPSIS; Delphi-AHP-Entropy Weight Model

Abstract

AI reconstruction of grid business processes optimizes stock human resource allocation, yet existing evaluation lacks multi-dimensional quantitative frameworks combining intelligent efficiency and talent transformation. This paper constructs a five-dimensional index system via two-round Delphi screening, adopts improved AHP-entropy combined weighting method and optimized TOPSIS model with modified distance formula for quantitative assessment. Taking 24 teams from a power supply enterprise’s 8 departments as samples, empirical results show prominent efficiency gaps across departments. Through weight calculation and empirical comparison, this paper verifies that AI skill upgrading and post adaptability are the core constraints restricting reengineering efficiency. On the premise of inherent baseline efficiency gaps across departments, this paper puts forward a fair incentive system for cross-department collaboration efficiency, classified training schemes and an intelligent post matching mechanism with detailed textual interpretation for readers unfamiliar with HR theories to support grid intelligent transformation.

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  - Weixuan Meng
AU  - Zaichi Li
AU  - Xuesong Wang
PY  - 2026
DA  - 2026/09/11
TI  - Comprehensive Evaluation of Process Reengineering Effect of Power Grid Functional Departments Empowered by AI
BT  - Proceedings of the 2026 5th International Conference on Mathematical Statistics and Economic Analysis (MSEA 2026
PB  - Atlantis Press
SP  - 333
EP  - 340
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6239-774-3_31
DO  - 10.2991/978-94-6239-774-3_31
ID  - Meng2026
ER  -