Currently, the comprehensive assessment of the
communication troops’ camp planning project is primarily qualitative, with
limited quantitative evaluation. Drawing upon the relevant spirit of the
Military Commission’s documents and leveraging the author’s own work experience
in branch offices, this article thoroughly explores the factors influencing the
comprehensive assessment of the project and proposes quantitative
representation methods for these factors. Utilizing the Analytic Hierarchy
Process (AHP), a hierarchical structure model and judgment matrix for the
evaluation factors of the communication
troops’ camp construction planning project are constructed, enabling the
determination of the weightage of each factor. This provides a certain level of
support and reference for the project approval and management by branch offices,
while also offering valuable insights for the approval and management of camp
planning and construction projects in other types of troops and battlefield
projects.
References
[1]
Petroutsatou, K., Ladopoulos, I. and Nalmpantis, D. (2023) Hierarchizing the Criteria of Construction Equipment Procurement Decision Using the AHP Method. IEEE Transactions on Engineering Management, 70, 3271-3282.
https://doi.org/10.1109/TEM.2021.3080117
[2]
Ishizaka, A., Pearman, C. and Nemery, P. (2012) AHPSort: An AHP-Based Method for Sorting Problems. International Journal of Production Research, 50, 4767-4784.
https://doi.org/10.1080/00207543.2012.657966
[3]
Zhou, Y.F. and Hu, Q.C. (2013) Key Points for Controlling Investment in the Decision-Making Stage of Military Engineering Construction Projects. China Construction Informatization, 4, 745-761.
[4]
Wen, H.Y., Guo, W. and Dai, Z.W. (2014) A Brief Discussion on Investment Control of Military Engineering Construction Projects. China Storage and Transportation, 4, 133-134.
[5]
Bai, X., Yan, Y., Dang, J.J. and Meng, Y.Q. (2020) Research on Investment Management of Military Engineering Construction Projects. Training and Technology, 41, 18-20.
[6]
Ma, L. (2015) Reflections on Strengthening Cost Control in the Decision-Making Stage of Military Engineering Projects. Modern Industrial Economy and Informatization, 3, 19-21.
[7]
Wang, X.g., Hu, D.C. and Bai, H.C. (2005) It Is Imperative to Establish a Military Engineering Investment Review Center. Military Economic Research, 26, 63-65.
[8]
Long, X.H. (2008) Research on the New Model of Military Engineering Construction Management. Master’s Thesis, National University of Defense Technology, Changsha.
[9]
Weng, D.F. (2004) Research on Decision-Making Models for Military Engineering Construction. Master’s Thesis, Huazhong University of Science and Technology, Wuhan.
[10]
Meng, B.B. (2015) Research on Military Expenditure in China’s Peaceful Development. Master’s Thesis, National University of Defense Technology, Changsha.
[11]
Zhou, D.S. (2016) Research on Performance Evaluation of Military Engineering Projects. Master’s Thesis, Dongbei University of Finance and Economics, Dalian.
[12]
Tang, M. (2018) Research on Military Construction Planning Roadmap Based on Project Portfolio Management. Master’s Thesis, National University of Defense Technology, Changsha.
[13]
Gu, S.Y. (2007) Research on Evaluation Models for Multiple Project Selection in Manufacturing Enterprises. Master’s Thesis, Shanghai Jiao Tong University, Shanghai.
Luo, Y. and Li, Y.L. (2013) Comprehensive Decision-Making of Transmission Network Planning Scheme Based on Entropy Weighting Method and Grey Correlation Analysis Method. Power System Technology, 1, 77-81.
[16]
Zhang, J. (2008) Research on Comprehensive Evaluation of Power Grid Planning Projects Based on Improved Neural Networks. Master’s Thesis, North China Electric Power University (Hebei), Baoding.
[17]
Liu, J., Wei, G. and Wu, W.L. (2008) Comprehensive Evaluation of Power Grid Planning Schemes using PCA-C~2R Model. Power System Protection and Control, 20, 20-24.
[18]
Sivakumar, R., Kannan, D. and Murugesan, P. (2015) Green Vendor Evaluation and Selection Using AHP and Taguchi Loss Functions in Production Outsourcing in the Mining Industry. Resources Policy, 46, 64-75.
https://doi.org/10.1016/j.resourpol.2014.03.008