Project Performance Evaluation Research Articles

Optimization of software project evaluation system

Starting from the problems of imperfect evaluation index system, non-standard evaluation method and single factor of performance evaluation model, this paper applies the unified grey clustering analysis algorithm to establish the index system of software organization status and software project characteristics, and defines the connotation of software project performance. A new network topology design method is proposed, and a software project performance evaluation model based on fuzzy neural network is established. An improved particle swarm optimization algorithm is introduced to solve the problem of determining the connection weight coefficient of the evaluation model accurately and efficiently. This paper introduces the basic concept of project performance evaluation, and explains the necessity and importance of performance evaluation in the project.

Developing a Model for Measuring Project Performance with Software Life Cycle Process Metrics and Calculating Project Success Score

Despite the developments in the process and tool infrastructure in the software world, project success has not significantly improved. In software projects, the definition of project success means to produce products that the customer desires in the planned effort, time and budget. To achieve this goal, planning, analysis, design, coding, integration, testing and delivery processes are operated interactively from the beginning to the end of a software project. Metrics of these processes are used to measure the performance of software projects. Since the literature review shows that project management process metrics such as budget, effort, schedule, customer satisfaction, product quality are used in measuring project performance, more comprehensive and effective criteria are needed to be defined and applied in measuring project performances. Due to the importance of the project performance evaluation, a general evaluation model was created in this study. The proposed model is designed for use in the software industry. In terms of project performance, a model has been developed that focuses on management of project, requirement, risk, quality and configuration, development, verification and validation processes. The purpose of this article is to present a model that evaluates the performance of software projects and expresses project success with a numerical value. Analytical hierarchy process (AHP) was used to calculate the relative importance of each process metric criterion and sub-criteria that provide input to the performance evaluation. Statistical process control method was used in the evaluation of project performance and calculation of the project success score. It was operated in an R&D organization to verify the proposed model and the performance of a project in delivery phase to the customer was measured. It is thought that the model presented in this study will help the managers, who monitor the project status, to evaluate project performance, as well as provide the numerical comparison of performance between projects.

Modeling and performance evaluation of PPP projects utilizing IFC extension and enhanced matter-element method

PurposeThere is often a lack of accurate performance evaluation in Public–Private Partnership (PPP) projects. It is a challenging issue to effectively use Building Information Modeling (BIM) for PPP project performance evaluation. The objective of this study is to develop a PPP project performance evaluation model based on Industry Foundation Classes (IFC) and an enhanced matter-element method to more precisely evaluate PPP project performance.Design/methodology/approachThe performance evaluation of PPP projects in the construction and operation period was explored. The PPP project performance evaluation indicator system was first established based on a literature review and PPP project practice. Then, the evaluation indicator information was expressed through IFC mapping and extension. After that, an IFC-based PPP project performance evaluation model was developed, and a case study was provided to validate the use of the proposed performance evaluation model.FindingsThe results of the case study show that the proposed approach can accurately and efficiently evaluate PPP projects, and it could favorably contribute to performance evaluation in PPP projects.Research limitations/implicationsThis study only concerns the performance evaluation of one type of PPP project. Further research is required to study different types of PPP projects; the model needs to be more efficient and intelligent.Originality/valueThe performance evaluation of PPP projects utilizing IFC extension and the enhanced matter-element method provides guidance for the government and private parties to accurately and efficiently evaluate PPP project performance.

Thailand: Case Studies of Filial Piety, Family Dynamics, and Family Finances - Unexpected Findings of a Country-Wide Research of The Evaluation of Project Performance Supported by Older Persons Fund

Thailand: Case Studies of Filial Piety, Family Dynamics, and Family Finances - Unexpected Findings of a Country-Wide Research of The Evaluation of Project Performance Supported by Older Persons Fund

Computerization of designing of urban transport systems using a remote satellite monitoring software product

The design of transport systems within the framework of programs for the integrated development of urban infrastructure is a cascading model that includes the stages of the analysis of target functions; monitoring of transport infrastructure; forecast transport demand; modeling of development scenarios; development, performance evaluation and verification of investment projects. To reduce resource costs, designers use a variety of hardware and software systems, the degree of security of which, their inherent advantages and disadvantages were identified during a statistical survey of employees of road facilities. According to the results of the study, to automate the collection of traffic characteristics at the monitoring stage, a software product was developed and patented to interpret a static image of a satellite image from online resources into the dynamic characteristics of traffic flows (speed, density, composition and traffic intensity). The functional apparatus of the product is the multiparameter equations of the theory of traffic flows, taking into account transport and road conditions. Assessment of the cost and capabilities of the developed software in comparison with foreign counterparts showed the vitality of this product.

Evaluation of Highway Construction Efficiency—A Case Study in Coastal Provinces, China

Li, Y., 2019. Evaluation of highway construction efficiency—a case study in coastal provinces, China.In: Li, L.; Wan, X.; and Huang, X. (eds.), Recent Developments in Practices and Research on Coastal Regions: Transportation, Environment and Economy. Journal of Coastal Research Journal of Coastal Research, Special Issue No. 98, pp. 271–276. Coconut Creek (Florida), ISSN 0749-0208.This paper quantitatively studies the performance evaluation of coastal highway construction projects within the project cycle. By constructing the performance evaluation of the coastal highway construction research analysis framework and then combining it with the characteristics of the principal component analysis and data envelopment analysis (DEA), general evaluation of coastal highway construction is put forward, along with analysis of efficiency evaluation models and finally principal component analysis of coastal highway construction and evaluation of the overall perspective of DEA evaluation of the efficiency of coastal highway construction.

A novel methodology for performance evaluation of IT projects in a fuzzy environment: a case study

Most of the information technology (IT) projects are canceled or failed due to different reasons, while some of them are performed poorly in terms of cost, time, scope, customer satisfaction, etc. Therefore, it is important to identify the most important criteria affecting the performance of IT projects, measure their performance, identify the issues, and continually improve the performance of both the projects and the organizations. Although IT organizations place value on the importance of the project performance to release on time, with low cost, and in accordance with the customer expectations, they lack ways of determining the most suitable performance criteria for continually measuring, improving, and controlling them. This study proposes a new methodology to evaluate the performance of IT projects in a fuzzy environment. For this aim, firstly, the most suitable criteria are identified based on the balanced scorecard method. In the second step, the relative priorities of the criteria are determined with the help of expert judgments and hesitant fuzzy weights with hesitant multiplicative geometric operator. Then, the priorities of the criteria are used to evaluate the performance of IT projects in a Turkish company by using real data.

Application of Value Management in Conception of Construction Projects in Rwanda

Value Management (VM) and Value Engineering (VE) are techniques concerned with defining, maximizing and achieving “value for money”. It should be noted that VM is not about reducing the cost but about adding value and where necessary the cost can be added to achieve value. Despite its proven significance in securing maximum output from limited resources, this approach is not a common practice in Rwanda’s construction Industry. This study therefore defines VM and describes all the processes and techniques involved in it. The merits and demerits of VM process in construction projects are discussed in details and relevance of its uses is discussed and recommended in consideration of the scope and complexity of the projects as well as the risks involved. While the benefits of a value management review are often perceived in terms of improved quality and reduced cost, this report discusses the exercise as a functional mechanism to measure value, taking into account monetary and non-monetary benefits and thus demonstrating value for money. While the author has not been able to obtain relevant literature on VM practice in Rwanda, It can be deduced from the review of the related literature that most of the evaluation techniques conducted for construction projects in developing world have mostly relied on evaluation of project performance in terms of cost, quality, delivery and progress. Since project evaluation is carried out after the work has been undertaken, the output of the analysis will just give the client an indication or a good understanding of the project performance. Such evaluations only reveal the competence or incompetence of the project participants instead of providing value for money which is addressed by VM practice which is an ex-ante analysis that takes into consideration of all value parameters. The study used a quantitative survey method of research to obtain responses from professional practitioners in construction industry in Rwanda. The sample size of 115 were selected from members of professional practitioners in the construction industry out of which 106 members were responsive. Finally, it is concluded that VM approach is not used in construction industry in Rwanda and recommended that VM practice be adopted in construction industry in Rwanda as a mandatory requirement for conception of all construction projects with a budget of $20M and above.

Applying FAHP Model to Access Coastal Road Construction Performance

Wang, F., 2019. Applying FAHP model to access coastal road construction performance. In: Gong, D.; Zhu, H., and Liu, R. (eds.), Selected Topics in Coastal Research: Engineering, Industry, Economy, and Sustainable Development. Journal of Coastal Research, Special Issue No. 94, pp. 181–185. Coconut Creek (Florida), ISSN 0749-0208.Based on the whole process management of coastal road construction projects, this thesis analyzes the performance evaluation of coastal road construction projects from economic factors, social factors and engineering elements. The Analytic Hierarchy Process (AHP) is used to determine the index weights and the Fuzzy Comprehensive Evaluation method (FCE) is used to evaluate the performance of coastal road construction projects in Shandong Province, as to establish an evaluation system, which provides a useful reference for effective performance evaluation and sustainable development of coastal road construction.

Performance evaluation and alternative optimization model of light rail transit network projects: A real case perspective

Light rail transit network is essential to the development of urban public transportation, and the aim of this study is to provide a scientific, efficient, and new methodology to measure and assess the pros and cons of various planning schemes for light rail transit (LRT) network, which can help guide the process of alternative prioritization and decision-making support. More specifically, through establishing the multi-attribute assessment index system, and pondering the combinational weighting model (consistent matrix analysis and information entropy methods), a data-driven and flexible multi-criteria matter-element decision-making (MCMEDM) model for LRT network optimization is constructed in this work. Furthermore, objectivity, impartiality, rationality, and validity of the proposed model are discussed and verified by a didactical case with real datasets in Jining, China. The modeling analysis (quantitative procedures) results and findings reveal that this approach is reliable and applicable to appraise and prioritize the LRT networks, avoiding the decision biases due to human or other factors. Additionally, the proposed framework can offer urban planners, managers, decision and policy makers the appropriate comments and suggestions of identifying the superior alternative (project), as well as serve as a guideline or reference for other cities.

Performance Evaluation Of The Hydropower Plants Using Various Multi-Criteria Decision-Making Techniques

Annual growth of 2.3 % since 1990 to 2017 in the hydropower sector in India indicates it holds a vital position in the growth of electricity generation in the country. For effective and efficient running of the hydropower projects, maintenance schedules and performance evaluation have to be done. Thus, this paper presents the performance evaluation of four different hydro-powerhouses belonging to a different class. Multi-criteria decision making (MCDM) method stepwise weight assessment ratio analysis (SWARA) is used to calculate the weights. The weights calculated by SWARA are employed to assess the performance scores or ranks of Indira Sagar Project (ISP), Canal Head Power House (CHPH) and River Bed Power House (RBPH) at Sardar Sarovar Narmada Nigam Ltd. (SSNNL) by integrating SWARA with the MCDM techniques like weighted aggregate sum product assessment (WASPAS), technique for order of preference by similarity to ideal solution (TOPSIS) and preference ranking organization method for enrichment evaluation (PROMETHEE). A comparative analysis of these integrated methods is presented for improved future studies in the area of decision making. The results in this paper show performance rankings of the available alternatives, calculated using integrated SWARA-WASPAS, SWARA-TOPSIS and SWARA-PROMETHEE methods. Performance ranks obtained by SWARA-WASPAS and SWARA-TOPSIS methods are in the order ISP, RBPH, CHPH and LSPH, which shows similarity with the on-field performances and are well suited for the performance evaluation of hydropower projects

KFFM-based Large-scale Project Earned Value Management Completion Prediction

Earned value management lacks research on the project completion trend forecasting method at the following two points: The project completion trend forecast is based on the state indicators at the project monitoring point, and the project execution efficiency before the monitoring time point is rarely considered; the project performance evaluation index How to reduce the non-efficiency noise caused by uncontrollable factors in the existing prediction methods when singularities occur. The above issues will affect the accuracy and stability of the earned value management forecasting system. This paper attempts to introduce the Kalman filtering method (KFFM) into the earned value management completion prediction calculation, and comprehensively considers the project execution efficiency in the logical order of “prediction-measure-correction”, and improves the prediction accuracy through dynamic correction of cost/progress indicators. And effectively reduce the impact of the earned value management forecasting system due to singularities

Risk factors affecting the ability for earned value management to accurately assess the performance of infrastructure projects in Australia

PurposeThe purpose of this paper is to investigate a set of risk-related factors influencing the earned value management (EVM) concept as an assessment technique in evaluating the progress of modern sustainable infrastructure construction projects.Design/methodology/approachA qualitative research approach has been adopted for identifying risk-related factors influencing EVM concept from a literature review and through interviewing industry personnel, followed by an inductive process to form sets of key factors and their measuring items.FindingsEVM is a common method for assessing project performance. A weakness of this approach is that EVM assessment in its current form does not measure the impact of a number of project performance factors that result from the complexity of modern infrastructure construction projects, and thus does not accurately assess their impact in this performance. This paper discusses and explains a range of potential risk factors to evaluating project performance such as sustainability, stakeholder requirements, communication, procurement strategy, weather, experience of staff, site condition, design issues, financial risk, subcontractor, government requirements and material. In addition, their measuring items were identified.Practical implicationsThis research assists projects managers to improve the evaluation process of infrastructure construction performance by incorporating a range of factors likely to impact on that performance and which are not included in current EVM calculations.Originality/valueThis research addresses the need to include in the EVM calculation a range of risk factors affecting the performance of infrastructure projects in Australia and therefore makes this calculation a more reliable tool for assessing project performance.

A Bayesian approach to incomplete fuzzy reciprocal preference relations in consensus reaching process and its application in project performance evaluations

Due to the fact that individual knowledge is often inadequate and deficient in group decision-making problems, it is commonly seen that the preference information provided by the decision makers are incomplete. To encounter this problem lots of rele

Housing Project Performance Evaluation with Review Sharia Construction Management

Review of sharia construction management aimed to evaluate the performance of housing projects by the contractor in Jember district of East Java, Indonesia. This review results generate eight service factors include aesthetics, convenience, guarantees, responses, reliability, performance, facilities, durability, environmental friendliness, and Islamic values in design. User performance factors can affect guarantees on contract agreements, payment, design, document and file, the condition of force majeure, building damage, disruption and intimidation. The housing procurement project so that it can be repaired and improved with the regression model used to evaluated and predicted the performance of the contractor.

Distilling and Applying Criteria for Best Practice EIA Follow-Up

Follow-up is an essential component of Environmental Impact Assessment (EIA) if the success of EIA in improving the sustainability of a project once implemented is to be determined. This paper aims to establish universally-applicable criteria for EIA follow-up to evaluate project performance once assessed and underway. A suite of 24 criteria is derived from EIA follow-up best practice principles published by the International Association for Impact Assessment. The criteria are categorized according to the five dimensions of EIA follow-up: monitoring, evaluation, management, communication and governance. Posed as questions, the criteria support qualitative assessments of EIA follow-up performance for a project. Through application of the criteria to a case study currently under construction (the Shell Cove Marina project in eastern Australia), we found they provided an effective basis for a document review process delivering a short but informative account of the follow-up performance of the case study. The more robust evaluation of some of the criteria, particularly in the governance category, would require supplementary techniques such as interviews.

Analysis on Cost Controlling and Tracking of Residential Building by EVM Method Using MS Project Software

Most of the construction projects suffer from cost and time overruns due to a multiplicity of factors. Earned value management (EVM) is a project performance evaluation technique that has origins in industrial engineering, but which has been adapted for application in project management. Earned Value Analysis software is developed in Visual studio 2008, Next Comparison of selected parameters between M.S Project 2007, Primavera P6 and developed software is done. Therefore, it can be concluded that the software could be used in a wide range of projects for Earned Value Analysis calculation. During the construction project it has been observed that certain causes may lead to delay in construction activities. This will result in time and cost overrun in the project. So it has become a major problem to complete the project on schedule and within the estimated cost. As a solution to this, the concept of construction project management by Earned Value Management System (EVMS) is evaluated. Earned Value Management is a powerful methodology used in monitoring and controlling of the project. EVMS is the project management technique developed to measure the performance and progress of the project based on the combination of schedule, cost and work performed. By using this technique, the project status can be investigated in ongoing project at any stage which detects whether the project is under or over budget and behind or ahead of the planned schedule. Also the estimate cost and time required to complete the project from current situation can be investigate.

Research and development project risk assessment using a belief rule-based system with random subspaces

Research and development (R&D) project risk assessment mainly focuses on predicting the likelihood of project success and effectively controlling risks. The belief rule-based (BRB) inference method has been applied for risk assessment, due to its strong interpretability and high prediction accuracy. However, lots of risk factors related to R&D projects will lead to an oversized rule base when the standard BRB method is used to evaluate project performance. In this research, a novel predictive evaluation framework is proposed to address this issue, where a RS-BRB model, namely the BRB with random subspaces, is developed to assess R&D project risks in a modular way. Firstly, multiple subspaces with low dimensions are constructed by random sampling. Subsequently, a BRB subsystem is developed as a base learner in each subspace to obtain a prediction result, and the evidential reasoning rule is adopted to combine the prediction results from different BRB subsystems. The proposed model was validated using the data from R&D projects in Chinese industries. Comparative analysis results show that the proposed model has superior prediction accuracy and can overcome the problem of combinational explosions without information loss.

Performance evaluation in a construction project: an empirical study of Canaan city housing estate, Ota, Nigeria

Project performance has always been affected by many factors across its lifecycle due to the increasing intricacy and flexibility of construction project. This study evaluated the performance in a construction project with emphasis on Canaan city Housing Estate (CHE). The researchers employed the instrument of main data collection to show the practicability of the cardinal performance indicators (CPIs) with a five-point likert scale for entreating information from the project actors with regard to their perceptions on 50 performance features. The findings showed that the Cronbach's alpha (α) of the data was 0.8942 indicating that the index of instrument reliability was consistent and reliable. Moreover, the empirical finding revealed that performance evaluation in a construction project has gone beyond the traditional approach of quality, time and cost. This study would assist the construction participants in enhancing the project performance and efficient evaluation toward the satisfactory delivery of a construction project.

Strategic Resource Allocation in Project Management: A Data-Driven Framework

Effective project management relies on smart resource allocation strategies that navigate the complexities, in project dynamics. However, it is important to consider factors when choosing projects for a portfolio and allocating resources to that portfolio. In this paper, we present a data-driven framework for strategic resource allocation in project management. By using the Fuzzy TOPSIS method this framework combines evaluations into a model improving decision-making accuracy. Our study identifies ten factors that contribute to project complexity and transforms opinions into fuzzy numbers to evaluate project performance. When we applied this framework to five projects, we gained insights into how they align with established criteria resulting in nuanced rankings based on calculated closeness coefficients. This research lays the foundation for resource allocation strategies by advocating for the integration of dynamic data sources and advanced analytical techniques. The goal is to enhance adaptability and facilitate implementation, within project management paradigms.