Real Time Construction Project Performance Assessment
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Real Time Construction Project Performance Assessment
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Author : William Gyadu-Asiedu
language : en
Publisher: LAP Lambert Academic Publishing
Release Date : 2012
Real Time Construction Project Performance Assessment written by William Gyadu-Asiedu and has been published by LAP Lambert Academic Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Construction industry development depends on a deliberate effort to improve upon the performance of projects being implemented. This requires measuring the performance of key activities on projects using indicators that truly reflect the perspective of key stakeholders. Acknowledging the weaknesses in existing indicators, this book proposes a paradigm shift in both the existing measurement philosophy and the Approaches: (i) moving away from expecting "project autopsy reports" towards "project health reports" (ii) moving away from considering the outcomes of a project in terms of the success/failure dichotomy into project performance results in identifiable criteria and (iii) acknowledging the uniqueness of every project and the contingency factors which calls for contingency measures of assessment. A contingency-based assessment tool is designed which could be used to assess construction project performance throughout its life cycle, to identify the factors at play and which will provide the necessary information to facilitate project management decisions. The tool also documents all relevant events which are invaluable for learning and improvements on current and future projects
Establishing A Performance Index For Construction Project Managers
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Author : Virendra Kumar Paul
language : en
Publisher: Taylor & Francis
Release Date : 2023-03-07
Establishing A Performance Index For Construction Project Managers written by Virendra Kumar Paul and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-07 with Architecture categories.
Assessment of professional competence for project managers and the measure of project success is well-trodden ground in the research and professional project management literature. Whilst standards and certifications like PMBOK and the IPMA competence baseline have been developed as a guide for the development of project managers’ competence, the manifestation of these competencies into good performance is neither guaranteed nor always easily ascertainable. This book presents a brand new, comprehensive, and reliable quantitative tool to assess the performance of a construction project manager. Though the performance of a project construction manager may be judged on time and cost criteria of a project, there is still no one conclusive evaluation tool based on the varied criteria or competencies that are usually ascribed to them. This book develops a performance index for construction project professionals which can be indicative of their performance measured over varied attributes over the lifetime of their professional development. This index has the potential to provide all project stakeholders with better control over selecting appropriate resources for managing projects and drive the project professional from within towards improving his/her credentials with every project. This book can be used by aspiring and practising project managers for measuring their own performance and assessing their relative strengths and weaknesses. Organizations can use the tool as a benchmark to select the best of their human resources for their projects, and training institutions can use the tool to set a baseline, highlight areas for intervention, and indicate the readiness of trainees to face real world projects.
Construction Project Monitoring And Evaluation
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Author : Callistus Tengan
language : en
Publisher: Routledge
Release Date : 2021-04-27
Construction Project Monitoring And Evaluation written by Callistus Tengan and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-27 with Technology & Engineering categories.
This book will provide readers with an in-depth theoretical awareness and practical guidance on the implementation of an effective monitoring and evaluation (M&E) system to ensure construction projects meet approved quality, cost, time and social sustainability objectives. The authors discuss the drivers, challenges, determinants and benefits of effective M&E implementation together with the theories and models underpinning construction project M&E practices. Further, a comparative overview of M&E practices in developed and developing countries is presented to elucidate the best practices. The book first conceptualizes M&E as a five-factor model comprising stakeholder involvement, budgetary allocation and logistics, technical capacity and training, leadership, and communication. It then presents an M&E case study on the Ghanaian construction industry before expanding on the idea of M&E systems as an effective tool for project performance and in optimizing a project’s contribution to society and the environment. The book further provides guidance on M&E practice for construction project managers, investors, professionals, researchers and other stakeholders and is therefore of interest to those in architecture, construction engineering, planning, project management and development studies.
Performance Measurement Forecasting And Optimization Models For Construction Projects
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Author : Seyedeh-Sara Fanaei
language : en
Publisher:
Release Date : 2019
Performance Measurement Forecasting And Optimization Models For Construction Projects written by Seyedeh-Sara Fanaei and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Performance evaluation facilitates tracking and controlling project progress. Project control consists of two main steps: measurement and decision-making. In the measurement step, key performance indicators (KPIs) are designed to evaluate a project's different aspects and are used as a thermometer to determine the health status of the project. In the decision-making step project performance is forecasted and analyzed to support needed management actions. While considerable work is available on the quantitative performance of projects, less attention is directed to qualitative performance. This research presents a framework for qualitative measurement, prediction, and optimization of construction project performance to enhance the progress reporting process and to support management in taking corrective actions, if needed. The framework has three newly developed models; KPI prediction model, performance indicator (PI) prediction model and performance optimization model (POM). The framework is developed for performance measurement, prediction, and optimization of construction projects based on six selected KPIs (cost, time, quality, safety, client satisfaction, and project team satisfaction). The selection is based on the results of a questionnaire and the literature review. Qualitative data of KPIs was collected from 119 construction projects and were then utilized in the development of the three models. The first model maps the KPIs of three critical project stages to the whole project KPIs, based on soft computing methods. Three different soft computing techniques are studied for this purpose and their results are compared: the neuro-fuzzy technique, using Fuzzy C-means algorithm (FCM), and subtractive clustering, and artificial neural networks (ANN). The neuro-fuzzy model is developed for predicting the KPIs of the next stages of a project. The second model used the forecasted results of the first model to generate a single composite PI expressing the health status of the project. The relative weight of each KPI used in calculating the project PI is determined using the Analytic Hierarchy Process (AHP) and Genetic Algorithm (GA). Performance Optimization Model (POM) is the third model. It is used for selecting suitable corrective actions considering the project status expressed by the six KPIs stated above. The developed model can be applied in the initial and middle stage of the project to assist owners in the improvement of the overall project PI and in the improvement of individual KPIs. Different possible modes are considered for project activities based on different ways, referee to here as modes, for resource allocation, execution methods, and/or choice of different materials. GA is applied to choose among different activity modes and optimize project performance using POM. The number of activities and their modes are flexible and do not have any limitations. MATLAB software is used for developing the models in this research. The developed framework and its three models are expected to assist owners and their agents in managing their project effectively. Validation was conducted by using the data from 16 real projects to confirm the model's effectiveness and to compare the results of the soft computing techniques. These results indicate that a neuro-fuzzy technique using subtractive clustering performs better than both the neuro-fuzzy technique with FCM and ANN in predicting project KPIs. The automated framework employs a set of performance indicators to evaluate, predict, and optimize the construction project's performance, qualitatively. It applies different soft computing techniques and compares their results to choose the best technique. The developed framework can be used in construction projects to help decision-makers evaluate and improve the performance of their projects.
Designing A Framework To Estimate Project Duration With Respect To Weather Risk And Creating A Navigational Support System In Benchmark Space
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Author : Foad Marzoughi
language : en
Publisher:
Release Date : 2018
Designing A Framework To Estimate Project Duration With Respect To Weather Risk And Creating A Navigational Support System In Benchmark Space written by Foad Marzoughi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Benchmarking (Management) categories.
Construction projects often do not meet their targets, and usually face time and cost overruns (Agyakwah-Baah & Fugar, 2010; Memon, Abdul, & Abdul, 2012). Due to the complexity and dynamic nature of these projects, it is difficult for project managers to meet project objectives (Collyer & Warren, 2009). A substantial amount of work has been done to overcome this problem by developing different tools and methods, yet often projects still cannot meet their targets (Acebes, Pajares, Galán, & López-Paredes, 2014; Y. Chen, Zhang, Liu, & Mo, 2012). In the construction industry, a rich body of research has emerged to develop frameworks and tools for project management. The majority of current tools do not consider the dynamic nature of projects (Franceschini, Maurizio, & Domenico, 2007). Therefore, in this research, a decision support framework has been developed for the planning phase of a project lifecycle. In addition, a navigational support system has been created for the execution phase of the project lifecycle to monitor and control project performance. This thesis focuses on creating two artefacts: [1] a decision support framework for planning construction projects under uncertainty, in particular, severe weather conditions, and [2] a decision support system as a generic engine for controlling and monitoring key performance indicators at project level. For validation, we applied both artefacts to the construction industry and selected construction projects as cases. It is important to estimate a project’s duration properly in the initial phase to avoid cost and time overruns. Thus, the developed decision support framework in this thesis fills the gap in the phase of project planning by estimating project duration and taking into account the effect of weather on project performance and construction activities. Initial project planning is essential, but it is important to monitor and control the project to bring the project back on track if it veers off from the desired performance. Hence, project managers are keen to know the position of project performance with respect to the agreed criteria and what action to take to bring the project back on track. Thus, a decision support system called Navigational Support System (NSS) has been created to monitor and control project performance among multiple key performance indicators. This research consists of three original papers. Paper I provides a comprehensive review of the literature on the possible causes of delays, the problems with current methods and tools in construction projects in estimating project duration. This paper fills a gap in the literature by proposing a decision support framework to estimate project performance and duration with respect to weather, and presents a model developed through the proposed framework and validated in a real-case construction project. Paper II provides a comprehensive review of literature on the problems of existing performance measurement tools. A conceptual framework of the Navigational Support System (NSS) (Marzoughi & Arthanari, 2016a) based on the idea of navigating in benchmark space, introduced by Arthanari (2010), and the architecture of NSS is proposed. In addition, this paper illustrates the NSS using a case from interior design projects. Finally, Paper III illustrates the implementation of the generic engine proposed in Paper II for further validation in a real-life construction project. In this research, different methodologies have been used to validate both the decision support framework and NSS. In Paper I, multiple methodologies are used to integrate five modules (expert knowledge module, filtration module, multicriteria decision-making module, forecasting module and estimation module) to estimate the duration of construction project activities. Moreover, the techniques applied to integrate weather related variables in the process of estimating the duration of activities affected by weather, such as multivariate data analysis methods including principal component analysis, time series model building approaches, multi-criteria decision-making tools, non-linear multiple regression, and qualitative and quantitative data collection methods are introduced. In Paper II, a Navigational Support System (NSS) is created as a generic engine using design science research methodology. Multivariate statistical techniques and dynamic decision-making techniques were integrated to create the NSS. In Paper III, the NSS has been implemented in construction projects for validating created artefacts. Finally, the efficacy, validity and ease of use of the NSS are evaluated through applying the NSS in a real-life construction project.
Project Planning Scheduling And Control In Construction
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Author : Calin M. Popescu
language : en
Publisher: John Wiley & Sons
Release Date : 1995-03-20
Project Planning Scheduling And Control In Construction written by Calin M. Popescu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-03-20 with Technology & Engineering categories.
Critical Path Method (CPM) and Performance Evaluation and ReviewTechnique (PERT) are widely recognized as the most effectivemethods of keeping large, complex construction projects onschedule, under budget, and up to professional standards. But thesemethods remain underused because they are poorly understood and,due to a host of unfamiliar terms and applications, may seem morecomplicated than they really are. This encyclopedia brings together, in one comprehensive volume, allterms, definitions, and applications related to the time and costmanagement of construction projects. While many of these termsrefer to ancient and venerable building practices, others haveevolved quite recently and refer specifically to modernconstruction and management techniques. Sources include hundreds ofprofessional books, trade journals, and research publications, aswell as planning and scheduling software vendor literature. The detailed glossary of all applicable terms includes across-referenced listing of examples that describe real-worldapplications for each term supplied. An extensive bibliographycovers all applicable books, articles, and periodicals available onproject planning, scheduling, and control using CPM and relatedsubjects. This book is an important quick reference and desktop informationresource for construction planners, schedulers, and controllers, aswell as civil engineers and project managers. It is also theultimate research tool for educators, students, or anyone who seeksto improve their understanding of the management of modernconstruction projects.
Performance Measures For Analyzing Real Time Freeway Operations
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Author : Robert E. Brydia
language : en
Publisher:
Release Date : 2003
Performance Measures For Analyzing Real Time Freeway Operations written by Robert E. Brydia and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Express highways categories.
The concept of real-time performance measurement analyzes feedback from the operational response to freeway incident conditions and provides a quantitative methodology for assessing the impacts of various operational strategies. The significance of this technique is that it can enhance the efficiency of freeway incident management. Even a small percent reduction in the length of an incident would accrue millions of dollars of time-savings for the affected portion of the roadway. The design and construction of a real-time performance measurement system require an understanding of the performance measures and their application to transportation, a review of the state-of-the-practice in performance measurement, and an experimental design on which to build a prototype system.
Key Performance Indicators To Measure Design Performance In Construction
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Author : Nasma Budawara
language : en
Publisher:
Release Date : 2009
Key Performance Indicators To Measure Design Performance In Construction written by Nasma Budawara and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.
Measuring Time
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Author : Mario Vanhoucke
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-09
Measuring Time written by Mario Vanhoucke and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-09 with Technology & Engineering categories.
Meant to complement rather than compete with the existing books on the subject, this book deals with the project performance and control phases of the project life cycle to present a detailed investigation of the project’s time performance measurement methods and risk analysis techniques in order to evaluate existing and newly developed methods in terms of their abilities to improve the corrective actions decision-making process during project tracking. As readers apply what is learned from the book, EVM practices will become even more effective in project management and cost engineering. Individual chapters look at simulation studies in forecast accuracy; schedule adherence; time sensitivity; activity sensitivity; and using top-down or bottom-up project tracking. Vanhoucke also offers an actual real-life case study, a tutorial on the use of ProTrack software (newly developed based on his research) in EVM, and conclusions on the relative effectiveness for each technique presented.
Determinants Of Construction Project Success In India
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Author : Kumar Neeraj Jha
language : en
Publisher: Springer Science & Business Media
Release Date : 2014-07-08
Determinants Of Construction Project Success In India written by Kumar Neeraj Jha and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Technology & Engineering categories.
This study presents exploratory work and seeks to identify and evaluate the success and failure factors that could form a guideline for further study and to some extent help professionals to understand some critical aspects that impact project performance concerning construction in India. A total of 55 attributes affecting the performance of construction projects are analysed in terms of their level of influence on four key performance criteria – schedule, cost, quality, and no disputes – using a two-stage questionnaire survey. These attributes are then further analysed, interpreted and evaluated. Based on the critical success factors obtained from the study, a neural network model-based predictive model for project performance has been developed. The performance prediction models have been derived for all four project performance criteria. Further, a hypothesis that ‘project success’ is influenced by ‘success traits’ has also been formulated. The hypothesized positive inter-relationships between success traits and project success have been tested using the structural equation modelling technique. Besides supporting the intuition of past researchers in recognizing ‘coordination’ as a key success factor, this study has revealed that coordination is not an isolated and independent activity, but is a typical management function with an inherent role in all major management activities. Key elements affecting coordination have also been identified and their influence on coordination effort has been studied. Furthermore, the present study has also identified three broad skill groups required of effective project coordinators. The results are validated through case studies of live projects and structured interviews with experts in the field of construction management.