加权
云计算
可靠性(半导体)
系统工程
管理科学
过程管理
计算机科学
风险分析(工程)
工程类
业务
医学
功率(物理)
物理
量子力学
放射科
操作系统
作者
Minggong Zhang,Xiaolong Xue,Ting Luo,Meng Meng Li,Xiaoling Tang
出处
期刊:Engineering, Construction and Architectural Management
[Emerald (MCB UP)]
日期:2023-05-22
卷期号:31 (9): 3679-3705
被引量:2
标识
DOI:10.1108/ecam-09-2022-0820
摘要
Purpose This study aims to establish an evaluation method for cross-regional major infrastructure project (CRMIP) supportability. The focus is to identify evaluation indicators from a complexity perspective and develop an evaluation model using qualitative and quantitative methods. Case studies are carried out to verify the reliability of the evaluation model, thereby providing theoretical and practical guidance for CRMIP operations and maintenance (O&M). Design/methodology/approach Guided by the idea of complexity management, the evaluation indicators of CRMIP supportability are determined through literature analysis, actual O&M experience and expert interviews. A combination of qualitative and quantitative methods, consisting of sequential relationship analysis, entropy weighting, game theory and cloud model, is developed to determine the indicator weights. Finally, the evaluation model is used to evaluate the supportability of the Hong Kong–Zhuhai–Macao Bridge (HZMB), which tests the rationality of the model and reveals its supportability level. Findings The results demonstrate that CRMIPs' supportability is influenced by 6 guideline-level and 18 indicator-level indicators, and the priority of the influencing factors includes “organization,” “technology,” “system,” “human resources,” “material system,” and “funding.” As for specific indicators, “organizational objectives,” “organizational structure and synergy mechanism,” and “technical systems and procedures” are critical to CRMIPs' O&M supportability. The results also indicate that the supportability level of the HZMB falls between good and excellent. Originality/value Under the guidance of complexity management thinking, this study proposes a supportability evaluation framework based on the combined weights of game theory and the cloud model. This study provides a valuable reference and scientific judgment for the health and safety of CRMIPs' O&M.
科研通智能强力驱动
Strongly Powered by AbleSci AI