Li Huimin

The South-to-North Water Diversion Project consists of long-distance water delivery channels and a complicated geological environment along the way. To deal with the operation safety of the water conveyance channels in the middle route of the South-to-North Water Diversion Project, this study analyzes six failure modes: structural cracks, poor water delivery during ice periods, instability of canal slopes, material aging, abnormal leakage, and foundation defects. Based on FMEA, a multigranularity language evaluation method that can be converted into interval intuitionistic fuzzy numbers is used to evaluate the severity, occurrence, and detection difficulty of the six failure modes. Interval intuitionistic fuzzy entropy is used to calculate the weights of the risk factors. Finally, a ranking model of each failure mode is built based on the TODIM method. The final ranking results show that the risk of abnormal leakage is the largest, and the risk of poor water delivery during ice periods is the smallest. The feasibility and validity of the calculation results are verified by comparing them with the ranking results of the traditional RPN and TOPSIS methods. The TODIM-FMEA risk assessment model offers a new solution to the problem of risk assessment for water transfer projects.

Existing methods for evaluating manufacturing process chain complexity consider the number of machines, state of machines, number of parts, operation time, and processing sequence of parts. However, such evaluation methods ignore human factors. To consider human factors, human cognitive decision-making process factors are considered in the complexity evaluation of production processes. Accordingly, a new objective evaluation method of the human factor complexity is proposed. In the proposed method, sewing operations are taken as an example, and the human factor complexity is classified into perceived and cognitive complexity. Information entropy is used to measure cognitive complexity according to the type and quantity of sewing workers’ cognitive activities. The results show that various methods have significant differences in the evaluation of the complexity level of the production process chain. Specifically, the calculation results of the proposed evaluation method are much greater than those of other methods. This indicates that human cognitive and perceived complexities account for a large proportion. Therefore, human factor complexity cannot be omitted.

A key challenge in the management of the public-private partnership project is to understand the critical factors for sustainability performance as well as their complex interaction. Majority of existing studies focus on identifying general factors without consideration of specific context of individual sector. To bridge the gap, unique characteristics of water PPP projects are taken into consideration in this study where the relationship among critical factors to achieve sustainable performance is analyzed from a network perspective. Stakeholder-associated factors and their interrelations were identified via extensive literature review and structured interview, and the social network analysis method was employed to recognize the critical factors and their interactions in sustainability achievement of water PPP projects. As a result, seven stakeholder groups and 18 critical factor nodes were identified and further classified into four challenges when achieving sustainability. These challenges are promoting ecological awareness and responsible citizen behaviour; project construction quality; ecological designs and technology innovations; and project management capacity. These findings provide the stakeholders of water PPP projects with useful references for mitigating the risks and facilitating efforts to achieve better sustainability performance.