Project Performance Evaluation Research Articles

A data-driven decision-making approach for evaluating the projects according to resilience, circular economy and industry 4.0 dimension

Multi-industry organizations constantly define new projects for development and progression. However, the noteworthy point is that there are many options for defining new projects and allocating resources to them, from which the best choices must be selected among the candidate projects. In today's world, due to extensive changes in business conditions, traditional performance metrics are not suitable for project evaluation, and projects that can enhance organizational resilience and serve communities in line with economic and environmental components should be selected. Moreover, considering the widespread changes in digital transformation over the past decade, paying attention to Industry 4.0 standards in project selection is important. In this context, the main goal of this study is to design a data-driven decision-making model based on machine learning for evaluating and selecting projects in line with resilience, circular economy, and Industry 4.0 criteria. In the first step, 21 indicators were identified, and their weights were determined using the fuzzy best-worst method (FBWM). Then, using the weighted fuzzy inference system method (WFIS), rules for labeling data were established, and finally, a model for predicting and evaluating project performance was defined using the Light Gradient Boosting Machine algorithm. The findings indicate that the indicators “Increase market share using Industry 4.0 technologies” and “Net present value” are the most important in project evaluation. The developed model accurately evaluates projects with more than 93% accuracy, performing better than other algorithms and demonstrating the high performance of data-driven algorithms in project evaluation.

Research on Performance Evaluation of Sponge City PPP Projects in the Yangtze River Delta Region

In order to alleviate urban water ecological problems and promote sustainable urban development, many cities in my country are building sponge cities. At present, the country is vigorously promoting the application of the PPP model for project construction. The national government departments are actively preparing for the construction of sponge cities, promoting the construction of sponge cities in 30 pilot cities across the country, and encouraging sponge city construction projects using the PPP model, attracting a large amount of social capital to participate, and promoting The PPP model has been widely used in sponge city construction projects. This article takes the sponge city PPP project as the research object. In order to scientifically and rationally evaluate the construction performance of the sponge city PPP project, and on the basis of studying and summarizing the characteristics of the sponge city PPP project model and the development status of the performance evaluation system in my country, we conduct an analysis of the content of the performance evaluation. and research; establish and select a performance evaluation index system; conduct a comparative analysis of this model with other commonly used models, and build a PSIR-based PPP project performance evaluation model based on the design flaws of the existing performance evaluation system; and analyze and summarize the data. , clarifying its specific application and impact in practice; finally, a summary and outlook of the entire research are given.

An advanced exploration of functionalities as the underlying principles of construction control metrics

PurposeIn academics and industry, significant efforts have been made to lead planners and control teams in evaluating project performance and control. In this context, numerous control metrics have been devised and put into practice, often with little emphasis on analyzing their underlying concepts. To cover this gap, this research aims to identify and analyze a holistic list of control metrics and their functionalities in the construction industry.Design/methodology/approachA multi-step analytical approach was conducted to achieve the study’s objectives. First, a holistic list of control metrics and their functionalities in the construction industry was identified. Second, a quantitative analysis based on social network analysis (SNA) was implemented to discover the most important functionalities.FindingsThe results revealed that the most important control metrics' functionalities (CMF) could differ depending on the type of metrics (lagging and leading) and levels of control. However, in general, the most significant functionalities include managing project progress and performance, evaluating the look-ahead level’s performance, measuring the reliability and stability of workflow, measuring the make-ready process, constraint management and measuring the quality of construction flow.Originality/valueThis research will assist the project team in getting a comprehensive sensemaking of planning and control systems and their functionalities to plan and control different dynamic aspects of the project.

COST AND TIME ANALYSIS USING EARNED VALUE METHOD ON THE CONSTRUCTION OF THE NATIONAL KEDIRI AIRPORT ACCESS ROAD PHASE 1 KEDIRI - NGANJUK

Project completion delays have adverse consequences on a contractor's credibility and result in additional penalty costs, reducing potential profits. To mitigate these issues and optimize project outcomes, refining activity schedules and budgets is crucial. The Earned Value Method proves effective in monitoring and controlling project activities. In the case of the Kediri airport access road construction project, weeks 1 to 6 revealed a negative Cost Variance (CV), indicating higher-than-planned costs, while weeks 7 to 8 showed a positive CV, suggesting costs were lower than anticipated. Schedule Variance (SV) for the 1st week was unfavorable, indicating a delay, and SV>1 from weeks 2 to 8 signaled a project delay. The Estimate to Complete (ETC) is IDR 17,470,510,292.77, and the Estimate at Complete (EAC) is IDR 32,509,153,464.05. The Time Estimate (TE) forecasts project completion in 89 calendar days, five days beyond the contracted 84 days. Employing the Earned Value Method enhances project performance evaluation and decision-making to avoid delays and cost overruns.

COST AND TIME ANALYSIS USING EARNED VALUE METHOD BUILDING CONSTRUCTION OF DISTANCE LEARNING PROGRAM UNITS OF SURABAYA OPEN UNIVERSITY PHASE II

Project delays often serve as a catalyst for conflicts and disagreements between project owners and contractors, leading to significant financial implications. Such delays result in costly consequences for both parties involved. Contractors face the imposition of penalty fines as stipulated in the contractual agreement, alongside incurring overhead costs during the prolonged project duration. Conversely, owners experience a direct impact on their revenue streams due to delays in the operationalization of the facility. In the context of the construction of the Surabaya Open University Distance Learning Program Unit building phase II, the examination of cost and time performance becomes imperative. Employing the earned value method offers a comprehensive approach to project performance evaluation, involving a meticulous comparison of actual expenses and timelines with the initially anticipated costs. This analytical approach aids in understanding the project's progress and identifying areas where adjustments may be necessary to mitigate potential delays. The Earned Value Method (EVM) analysis of the Surabaya Open University Distance Learning Program Unit building phase II reveals a projected total cost of IDR 73,908,443,223.09 by the time the project reaches completion. This estimation provides stakeholders with valuable insights into the financial commitment required for the successful conclusion of the project. Additionally, the anticipated timeline for completion is estimated at 53 weeks, serving as a crucial parameter for project planning and management.

CONTROLLING AS A COMPONENT OF PROJECT MANAGEMENT IN AGRO-INDUSTRIAL PRODUCTION

The subject of the research is the study of controlling as an integral part of project management in agricultural production. Methodology. The study used general scientific methods, in particular: theoretical generalisation; methods of analysis and synthesis; statistical analysis; graphical method (for visual display of the study results). The article presents results of substantiation of expediency of application of controlling in management of agricultural production projects. Сonclusion. Project management controlling is an essential tool for achieving success and sustainability in the implementation of projects, carrying out systematic planning, control and analysis of economic activities at the level of the entire organisation. The cooperation between controlling and project management is crucial for the effectiveness and efficiency of projects, and the implementation of controlling is a strategic step to achieve common strategic goals and increase the sustainability of the activity. Project management in agriculture requires specific approaches, and controlling is vital to achieving successful results. The key aspects of controlling are financial monitoring, adaptation to seasonality and project cycles, quality and standards monitoring, risk management and consideration of environmental approaches. Five key elements of project management controlling in the agricultural sector determine the effectiveness of project implementation. The schedule allows for accurate resource planning and control over project execution. Effective resource management helps to stay within the budget, risk analysis helps to avoid negative impacts, change control prevents unexpected expansion of the project scope, and measuring performance against critical indicators allows to evaluate project performance. The system of controlling is manifested in the union of all subsystems and blocks of controlling, where their interaction is aimed at the strategic goals of the company. This approach takes into account the importance of system integration and alignment with strategic goals for successful business management.

A Stepwise Approach to Analyzing Musculoskeletal Imaging Data With Artificial Intelligence.

The digitization of medical records and expanding electronic health records has created an era of "Big Data" with an abundance of available information ranging from clinical notes to imaging studies. In the field of rheumatology, medical imaging is used to guide both diagnosis and treatment of a wide variety of rheumatic conditions. Although there is an abundance of data to analyze, traditional methods of image analysis are human resource intensive. Fortunately, the growth of artificial intelligence (AI) may be a solution to handle large datasets. In particular, computer vision is a field within AI that analyzes images and extracts information. Computer vision has impressive capabilities and can be applied to rheumatologic conditions, necessitating a need to understand how computer vision works. In this article, we provide an overview of AI in rheumatology and conclude with a five step process to plan and conduct research in the field of computer vision. The five steps include (1) project definition, (2) data handling, (3) model development, (4) performance evaluation, and (5) deployment into clinical care.

Analysis of Monitoring and Evaluation Practices on Performance of Non-Governmental Organizations’ Project in Kiambu County, Kenya

Monitoring and evaluation is an essential practice in project management as it helps the project's scope to be defined, interventions to be established, and project managers to have an understanding of how project interventions would affect the project's implementation and objectives. The purpose for this study was to analyze monitoring and evaluation practices on the performance of Non-Governmental Organizations (NGOs) in Kiambu County in Kenya. The three main research objectives of this research are; the monitoring and evaluation planning practice; the monitoring and evaluation technical skills practice, and the participatory monitoring and evaluation practice on the performance of NGO’s in Kiambu County. This study utilized a descriptive investigative approach, with a sample size of 210 being non-governmental employees drawn from; Monitoring and evaluation officers, Project managers, and Stakeholder representatives out of a target population of 441. The tool for data analysis was the statistical package for social science version 26 and the results obtained were presented using tables and figures. The results of regression evaluation of monitoring and evaluation depicted a very strong connection between monitoring and evaluation planning practice and non-governmental organizations' project performance. The results of monitoring and evaluation of technical skill illustrated a positive connection between monitoring and evaluation of technical skill practice and non-governmental organizations' project performance. Further, the findings on Participatory monitoring and evaluation represented a confident connection between Participatory monitoring and evaluation practice and non-governmental organizations' project performance. Regression analysis results indicated that monitoring and evaluation planning practice; the monitoring and evaluation technical skills practice, and the participatory monitoring and evaluation practice positively and significantly impact the project performance of non-governmental organizational In Kiambu County, Kenya. This study therefore concluded that monitoring and evaluation planning practice; the monitoring and evaluation technical skills practice, and the participatory monitoring and evaluation practice positively and significantly impact the project performance of non-governmental organizational In Kiambu County, Kenya. This study recommends non-governmental organizational In Kiambu County, Kenya to pay particular attention to participatory monitoring and evaluation practice by focusing on those strategies that embrace participatory approaches, to create more inclusive and impactful M&E processes that contribute to sustainable development and positive change within communities. The findings in this research study will benefit, scholars, M&E practitioners, programme managers, government institutions, project stakeholders, and donor community in proper integration of the monitoring and evaluation practices for project performance.

The integration of BIM in the application of green building materials in construction projects

In recent years, with the growing call for sustainable development, green building materials, which are of great meaning for reducing resource and environmental impacts, have attracted more and more attention. However, in China, a country with frequent construction activities and high resource consumption, the application of green building materials in construction projects still faces challenges. Building Information Modelling (BIM) as an emerging technology in the construction industry can increase the adoption rate of green building materials in construction projects. The aim of this study is to identify the barriers encountered in the application of green building materials in Chinese construction projects, and to propose corresponding improvement measures by integrating BIM in the decision making. This study adapted a qualitative research method, using semi-structured interviews as a research tool. A total of 6 respondents (including project managers, architects, engineers, and researchers) from Chinese construction companies and research institutions collected interview data, and used Nvivo software to analyze and summarize. The results of this study show that although the application of green building materials in construction projects in China still faces challenges, including market acceptance and supply chain issues, cost and economic feasibility issues, and lack of relevant technology and knowledge. In addition, the study found that BIM technology made a great contribution in promoting the application of green building materials. Through BIM technology, the whole life cycle information management such as material selection, engineering simulation and performance evaluation of construction projects can be carried out, so as to improve the application of green building materials. By exploring the obstacles to the application of green building materials in China’s construction projects and combining with the promotion of BIM technology, this study puts forward a series of specific suggestions and solutions to foster the application of green building materials. This research has made certain theoretical and practical contributions to foster the application of green building materials for the sustainable development of China's construction industry.

Safety performance evaluation of construction projects in Egypt

In Egypt, the construction industry employs about 20% of the total work force in the local market. The health and safety (H&S) performance evaluation is adopted mainly to control H&S risks in construction sites. As such, there is a need to measure the safety performance in construction sites in a way that is proactive rather than just relying on interactive procedures. The main goal of this study is to develop an indicator to evaluate safety performance on construction sites. This is achieved through two basic steps. First, factors that affect safety performance in construction projects are determined by reviewing literature and conducting personal interviews. A total of 47 factors were collected. Then, a questionnaire was conducted to determine the most important factors that affect the H&S of construction projects in Egypt. The incentives and safety training were among the most important factors. Second, an index to evaluate safety performance has been developed. The purpose of this evaluation is to create a determinate through which construction sites safety could be assessed. The proposed model will be a useful tool to assist project managers and safety inspectors to assess safety performance in construction sites and thus help build safety regulations.

A Comprehensive Review of Engineering, Procurement, and Construction in Nigeria

This study focuses on the challenges and prospects of engineering procurement in Nigeria. The research examines the existing literature on engineering procurement practices, identifies gaps in knowledge, and explores potential areas for improvement. Through a comprehensive review, key findings emerge, highlighting limited research specific to engineering procurement in Nigeria and a lack of empirical studies on project performance and outcomes. Moreover, the literature review reveals a need for more research on engineering procurement projects' socio-economic and environmental impacts. The implications of these findings underscore the need for targeted research, enhanced data collection, and monitoring mechanisms to evaluate project performance accurately. Additionally, the study emphasises the importance of considering the broader socio-economic and environmental implications for sustainable development. Overall, this study serves as a foundation for advancing the understanding of engineering procurement in Nigeria and offers insights for policy-makers, researchers, and practitioners in the field.

MULTIDIMENSIONAL APPROACH TO CONSTRUCTION PROJECT PERFORMANCE EVALUATION: AN EMPIRICAL STUDY

This paper presents a novel and accessible 4D approach to project performance evaluation, surpassing traditional techniques. The conventional method relies on physical, time, and financial factors that may be insufficient for complex projects, particularly in developing countries. To address this, the paper suggests a 4D approach that considers different scenarios, analyzed with graphs and tables to achieve a more accurate evaluation of project performance. The proposed approach effectively identifies hidden issues, predicts their occurrence, possible delay, over cost and enables project managers to take proactive measures to ensure success, similar to what is done in the medical world. This method facilitates informed decision-making and resource allocation, essential for achieving project objectives. A hypothetical project demonstrates the effectiveness of this approach. In conclusion, adopting this 4D approach can help project managers identify potential issues, make informed decisions, and take appropriate action for project success in different stage of project life time.

Post-COVID-19 Recovery: An Integrated Framework of Construction Project Performance Evaluation in China

With the lifting of the COVID-19 lockdown, the construction industry is gradually moving towards a new normality. This study aims to evaluate the construction project performance in the post-COVID-19 pandemic context and proposes a roadmap framework to achieve project recovery in China. This paper follows a sequential mixed methodology with three core steps. First, the critical success factors (CSFs) and key performance indicators (KPIs) are derived from literature reviews and expert interviews. Second, the study conducts a questionnaire survey with 150 experts. Third, the research implements factor analysis and analytic hierarchy process (AHP) analysis for CSFs and characteristics and comparative analysis for KPIs. Based on the results, the study employs structural equational modelling (SEM) to connect the CSFs and KPIs and develop a roadmap towards the post-COVID-19 pandemic recovery of the construction projects. The study identifies 32 CSFs and 25 KPIs and categorises them into five clusters, respectively. The SEM analysis suggests that management and technological innovation significantly contribute to achieving enterprise strategic goals and advancing industrial development. The consistency of project goals and external expectations also positively affect the satisfaction level of stakeholders and social impact. In addition, the AHP clarifies that the stability of the external environment, the internal support, and the adequacy of resources are critical drivers to the post-COVID-19 recovery of construction projects. This research proffers a roadmap towards the project recovery of the construction industry in the post-COVID-19 era by connecting the performance indicators and their critical success drivers. The findings would guide comprehensive design and construction, project life cycle management, and assist in dealing with public health emergencies in construction project management to maximise the organisation’s profits and positive social impact.

Eco-industrial development strategies and characteristics according to the performance evaluation of eco-industrial park projects in Korea

The economic performance of eco-industrial park (EIP) projects has been studied extensively in previous research; however, efforts to link EIP project performance with sustainable eco-industrial development (EID) strategies have been rarely considered. To bridge this gap, this study evaluated the performance of Korean EIP projects, promoted through three stages, based on the EID strategies using the ordinal scale evaluation method. Accordingly, the process of developing EIP projects in Korea was reviewed and the EID methodology was derived through previous research results. The analysis showed that 63.1% (32.8/58 points) of the EIP projects considered and/or applied the EID strategies to them, indicating that the Korean EIP Project Group suitably considered EID strategies, whereas other projects did not. The overall characteristics were: 1) The EIP projects with established initial EID strategies were more likely to produce better results (72.8%). 2) The projects with established initial strategies resulted in high economic performance. 3) The projects showed the high interest of EIP projects in strategies related to economic performance. 4) Strategies of high interest existed but did not lead to successful results. 5) Non-production process strategies were generally not implemented. 6) Performance depended on the ability of the project groups to enforce strategies. Our results showed the importance of applying EID strategies to EIP projects to achieve sustainable development, and suggest a revised systematic approach to develop EID strategies through analyzing the performance of EIP projects.

Participatory Project Planning and Performance of Donor Funded Projects in Khulna, Bangladesh

Participatory project planning is a collaborative approach that involves stakeholders in the design and decision-making process of donor-funded projects. It ensures that the perspectives and needs of the beneficiaries are taken into account, leading to more effective and sustainable outcomes. By engaging stakeholders from the outset, participatory project planning promotes transparency, accountability, and ownership among all parties involved. This inclusive approach enhances project performance by fostering a sense of shared responsibility, increasing local knowledge and expertise, and promoting effective communication and coordination. It enables donors to achieve their development objectives while empowering local communities and building their capacity for long-term success. Research discovered that participatory project planning in Khulna significantly enhances community engagement and participation. Participatory project planning in Khulna leads to the development of projects that are more relevant and effective. By incorporating the perspectives and knowledge of local stakeholders, these projects are better aligned with the local context and are more likely to achieve their desired outcomes. The study concluded that participatory approach ensures that all stakeholders, including community members, local authorities, NGOs, and donors, have a voice in the decision-making process. Effective project performance management, including monitoring, evaluation, and learning, is critical for the success of donor-funded projects. The study recommended that there should be emphasis on capacity-building initiatives in order to enhance the skills, knowledge, and participation of the local community. Establish mechanisms for sharing best practices, lessons learned, and successful project outcomes among stakeholders. Encourage regular learning and reflection sessions to identify innovative approaches, challenges, and solutions. Regularly report on project performance to ensure transparency and strengthen accountability to the local community, donors, and other stakeholders. Keywords: Participatory Project Planning, Performance, Donor Funded Projects, Bangladesh

Monitoring and Evaluation Practices and Performance of Non-Government Organizations in Rwanda: A Case Study of Income-Generating Activities Project by Health Relief and Development Organization

This study aimed at the assessment of monitoring and evaluation of project performance.  The specific objectives were to assess the monitoring and evaluation (M&E) practices and the project performance in Non-Government Organizations in Rwanda, by taking the Income Generating Activities project (IGA project) in the Health Relief and Development Organization (HRDO), as the case study.  A descriptive research design was used within this study, and the study population is comprised of 165 employees working on the project and beneficiaries. The sample size of 117 respondents was established through calculations carried out using Slovin's Formula. To achieve the above objectives, a combination of questionnaires, and interviews analyzing financial and other reports were used. The researcher used primary and secondary data in this study.  And closed-end questionnaire was used Descriptive research design using mean and standard deviation will be used to interpret the collected data, while correlation analysis was used to assess the relationship between the variables, and multiple regression will be used to test the hypotheses of the study.  The findings, indicate the coefficients of the regression where planning for monitoring and evaluation (PLME) has 0.287 with a significance of 0.002, staff technical skills in M&E (STSME) 0.414 with a significance of 0.000 and reporting for M&E (RME) 0.321 with a significance of 0.001. The constant .128 is the predicted value for the dependent variables (performance of IGA project) if all independent variables, planning for M&E=0, staff technical skills in M&E =0 and reporting for M&E =0. The results show that there is a positive and significant relationship between planning for M&E and project performance because the calculated Pearson correlation and significance level between planning for M&E and schedule is positive and significant (r=0.717 and sig=0.00<0.01) level of significance. The calculated Pearson correlation and significance level between planning for M&E and cost is positive and significant (r=0.712 and sig=0.00<0.01) the level of significance. The calculated Pearson correlation and significance level between planning for M&E and stakeholder satisfaction is positive and significant (r= 0.683 and sig=0.00<0.01) level of significance. Conclusion and recommendation   were basing empowerment of Monitoring and evaluation to project performance due to hypothesis (Ho) in this study was rejected. Keywords: Monitoring, Evaluation, project, Performance.

Design of optimal power supply parameters for industrial expansion

The business expansion installation can only simply record the most basic business information, which leads to the problems of complex power supply procedures and low efficiency. Therefore, a study on the optimal power supply parameters of the business expansion installation based on grey correlation degree and fuzzy C-means clustering algorithm is proposed. Firstly, the grey correlation degree is used to process the optimal power supply parameter data of industrial expansion and installation, and the parameters of fuzzy C-means clustering algorithm are set. On this basis, an intelligent management system for the optimal power supply process of industrial expansion and installation is constructed, and the system development conditions are set up; According to the four business links of project reserve, business acceptance, collaborative operation and performance evaluation, the customer business expansion and installation function module is constructed, so as to realize the calculation of the optimal power supply line of the business expansion and installation and complete the research on the optimal power supply parameters. The experimental results show that the output stability, output throughput performance and parameter optimization ability of this method for the line impedance characteristic control of the power supply of the industrial expansion device are good and are always on the rise. At 3 cm, the output throughput reaches 1.9%, and the parameter analysis ability can reach 350 pixels, which has certain application value.

Performance Evaluation of Urban Water Environment Treatment PPP Projects Based on Cloud Model and OWA Operator

The public-private partnership (PPP) model has become one of the marketization models for water environment treatment projects. Evaluating the performance of these projects is vital for their long-term success. Performance evaluations can inform the government when allocating expenditures for the operation and maintenance of services and can guide the private sector’s operation and maintenance management of projects. By attending to the specific characteristics of urban water environment treatment PPP projects (UWETP-PPP), this study developed a performance evaluation system and corresponding performance evaluation model comprised of eight first-level indicators and fifty second-level indicators. This model was used to evaluate a water environment treatment and ecological restoration project located in Xuchang, China. The results generated by the performance evaluation model indicated that this project was satisfactory and used the PPP model with a very high level of success, which accurately reflected real-world assessments of the project and verified the effectiveness of the model. This research provides guidance for the government in designing a performance evaluation mechanism that implements the specific characteristics of PPP projects. It also provides practical value for the operation management and performance improvement of PPP projects in China.

ЦИФРОВИЗАЦИЯ ТЕХНОЛОГИЧЕСКОГО ИНЖИНИРИНГА И РЕИНЖИНИРИНГА

The article deals with the issues of engineering and reengineering of complex performance of works. It is indicated that contracts for the integrated performance of work are one of the most common forms of concluding agreements in the activities of organizations of various forms of ownership. The authors present the consequences of a violation of the integrated performance of work on the activities of the enterprise. The development of the engineering market has a positive impact on the performance of the firm and the introduction of new digital technologies. Attention is paid to companies in the oil and gas sector, which occupy a significant volume of the segment and have proven methods of project implementation, developed cooperation with leading organizations and access to financing. Limitations of liability and risks of intermediary distribution of work, focus on diversification of risks and the role of legislative initiatives in the field of research are indicated. The reformatting of the design and technological infrastructure directly depends on the use of digital technologies in business processes. Reengineering allows you to improve the ability to follow the strategic goals of the organization, increase the creation of added value and organizational efficiency, and solve the problems of low technological readiness of production entities. At the same time, business process engineering depends on the industry in which the company operates, the efficiency of operations and the cost of engineering software for modern modeling. Risk diversification of process engineering and reengineering is limited by capital costs, the nature of the business model, market conditions, ownership structure, and project performance evaluation. The article summarizes the impact of the digitalization of technological engineering and reengineering on improving productivity by reducing transaction costs, reducing project lead time, and improving the business model.

Performance Evaluation of Urban Water Environment Management Projects for the Protection of the Yangtze River Based on AHP-Fuzzy Comprehensive Evaluation Method

In order to promote the urban water environment management work for the protection of the Yangtze River, it is necessary to use a scientific evaluation index system to evaluate the governance effectiveness of completed management projects in pilot cities. Based on the characteristics of urban water environment management projects, this paper uses a constructed evaluation index system for the effectiveness of urban water environment management projects in the protection of the Yangtze River to evaluate the effectiveness of Phase I urban water environment management projects in Jiujiang City. The weights of each criterion layer and indicator layer were determined using the Analytic Hierarchy Process, and the fuzzy comprehensive evaluation method was used for comprehensive evaluation. The conclusions are as follows: (1) the engineering efficiency evaluation result is poor, mainly affected by the urban rain and sewage pipe network engineering criterion layer, in which the weight of the BOD5 concentration of domestic sewage in the influent of the sewage treatment plant is relatively large, and the membership degree result is poor, so attention should be paid to the BOD5 concentration of the sewage treatment plant within the scope of the project. (2) the engineering benefit evaluation result is generally good, and this evaluation result can reflect the overall benefits of the Phase I urban water environment comprehensive management project to the "plant-network-river-lake-shore" within the scope of Jiujiang City, but it is only reflected significantly by the surface water improvement contribution criterion. The reflection of social and economic aspects is not obvious, and follow-up research needs to increase the participation of residents through questionnaires or field surveys to make the results more reflective of the economic and social benefits.