Sherif Omar Attallah, Ahmad Senouci, Amr Kandil and Hassan Al-Derham
The purpose of this paper is to present a methodology for assessing, in quantifiable terms, the reduction in environmental impacts achieved by applying different credits of…
Abstract
Purpose
The purpose of this paper is to present a methodology for assessing, in quantifiable terms, the reduction in environmental impacts achieved by applying different credits of sustainability rating systems in building construction projects.
Design/methodology/approach
Sustainability rating systems are developed in various regions to evaluate construction projects with respect to their environmental performance. Although implementation of rating systems had a recognized effect on reducing environmental impact of construction projects, there is no objective and quantifiable evidence that the approaches recommended by these rating systems to achieve the required certification lead to optimum environmental results. This paper presents a methodology that utilizes life cycle analysis (LCA) as a powerful and objective tool to validate the way rating systems evaluate project performance. The Qatar Sustainability Assessment System (QSAS), recently developed in the State of Qatar by Gulf Organization for Research and Development (GORD), is chosen as a case study to illustrate application of the developed methodology. Environmental impacts due to implementation of QSAS credits are calculated for one project in Qatar, which is currently under construction.
Findings
Results reveal possible use of LCA as a tool for evaluating the effectiveness of rating systems. For the QSAS case study, findings reveal indications of over and, in some instances, under estimation of the weights assigned to some credits and the difficulty in the quantification of the impacts of other credits, which indicates the need for reconsideration of these weights to improve effectiveness of the implementation of these credits.
Originality/value
The proposed methodology stands as a step toward the enhancement and rationalization of the currently used building sustainability ratings system.
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Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek
Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and…
Abstract
Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.
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Hesham S. Ahmad, Maha D. Ayoush and Majed S. Al-Alwan
The purpose of this paper is to investigate the main causes of delay in public construction projects. This is motivated by feedback from public construction experts concerning…
Abstract
Purpose
The purpose of this paper is to investigate the main causes of delay in public construction projects. This is motivated by feedback from public construction experts concerning substantive delays during the last decade. The study thus seeks to help decision makers in Jordan and elsewhere identify problems and develop mitigating strategies.
Design/methodology/approach
Causes of delay were identified from previous related studies and then augmented after consultation with experts. This resulted in 56 delay factors classified into eight groups. The sampling frame for the study was defined in terms of public construction projects (mostly related to roads) owned by the Ministry of Public Works and Housing in Jordan. A survey was conducted with engineers working as representatives of the owner, contractors or consultants to elicit and evaluate the importance of the 56 delay factors.
Findings
Overall, 113 completed questionnaire responses were returned and analyzed to rank the causes of delay using the relative importance index method. Owners and consultants showed more interest in factors related to themselves, while contractors showed highest interest in an external factor related to the owner of services. Four recommendations are put forward for decision makers to mitigate against delays.
Originality/value
This research investigates a relatively large number of delay factors compared to other studies and these are categorized into groups to facilitate thematic understanding. Further, compared to previous related research, this research fills a gap by exploring the opinions of different contract parties.
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Sadeq J. Alkhalifah, Firas M. Tuffaha, Laith A. Al Hadidi and Ahmad Ghaithan
The oil and gas construction projects in Saudi Arabia are commonly impacted by the frequent occurrence of change orders. Therefore, this study aims at determining the factors…
Abstract
Purpose
The oil and gas construction projects in Saudi Arabia are commonly impacted by the frequent occurrence of change orders. Therefore, this study aims at determining the factors influencing change orders in the oil and gas construction projects in Saudi Arabia.
Design/methodology/approach
Firstly, the factors are extracted by examining the literature and further refined through experts' feedback. Twenty-one factors were identified in this manner. Thirdly, the factors are prioritized using a questionnaire survey. Responses from 162 professionals have been collected through surveys and ranked using the significance index. The correlation between factor rankings between classes is assessed using Spearman's correlation coefficient. Lastly, using principal component analysis, a change order-related factors conceptual model is developed.
Findings
The five most significant factors were identified and ranked in a general manner or per the category involved. Four main types were involved: project management team (PMT), consultants, contractors and clients. Moreover, a change order-related factors model is proposed. The factors are grouped under four main groups: project definition and planning factors, project stakeholder-related factors, project execution-related factors and project performance and control factors.
Originality/value
Despite the vast factor-related literature in Saudi Arabia. Nevertheless, there has never been a study that investigates the factors influencing change orders in oil and gas projects in Saudi Arabia before. This study not only identifies the change order-related factors but also proposes a model that captures the importance of these factors. This model can aid project professionals in mitigating the impact of the most critical factors encountered during the various phases of the project.
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Faris Elghaish and Sepehr Abrishami
The integration of building information modelling (BIM) and integrated project delivery (IPD) is highly recommended for better project delivery. Although there is a methodology…
Abstract
Purpose
The integration of building information modelling (BIM) and integrated project delivery (IPD) is highly recommended for better project delivery. Although there is a methodology for this integration, the BIM requires some improvements to foster the adoption of IPD. The purpose of this paper is to present an innovative way to support 4D BIM automation/optimisation within the IPD approach. Similar to structural and architectural design libraries, this research proposes a planning library to enable automating the formulation of schedule, as well as embedding the multi-objective optimisation into the 4D BIM.
Design/methodology/approach
The literature review was used to highlight the existing attempts to support the automation process for 4D BIM and the multi-objective schedule optimisation for construction projects. A case study was done to validate the developed framework and measure its applicability.
Findings
The results show that there is a cost-saving of 22.86 per cent because of using the proposed automated multi-objective optimisation. The case study shows the significance of integrating activity-based costing into 4D BIM to configure the hierarchy level of overhead activities with the IPD approach; therefore, the maximum level of contribution in managing the IPD project is 33.33 per cent by the trade package level and the minimum contribution is around 8.33 per cent by the project level.
Originality/value
This research presents a new philosophy to develop the 4D BIM model – planning and scheduling – a BIM library of the project activities is developed to enable the automation of the creation of the project schedule with respect to the 3D BIM design sequence. The optimisation of the project duration is considered to be automated within the creation process by using the proposed genetic algorithm model.
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Najib Al-Fadhali, Dodo Mansir and Rozlin Zainal
Influential factors attributed to causing project completion delay (PCD) differ because of prevailing variability of local conditions. Construction projects specifically in Yemen…
Abstract
Purpose
Influential factors attributed to causing project completion delay (PCD) differ because of prevailing variability of local conditions. Construction projects specifically in Yemen (and other developing countries) experience devastating effects of PCD which include litigation, cost overrun, arbitration, abandonment and failure. While existing works have investigated the causes and effects of PCD, not much exist on approaches to optimizing its occurrence in Yemen. In a bid to enhance the effects of PCD in Yemen, the integrated influential factors (IIFs), which is a construction-party specific model, was developed to mitigate the effects of PCD in Yemen. As a build up to the development of this model, this paper aims to validate the IIFs model with a view to foster its application to enhance PCD in construction project delivery in Yemen.
Design/methodology/approach
The validation of the IIFs model was done through seeking the opinions of 12 selected construction industry experts. This involved using a structured questionnaire to seek information on the sustainability of implementing the IIFs model.
Findings
The findings revealed that if the IIFs model is vigorously implemented, it would go a long way in curbing delay in the delivery of construction projects, making construction delivery less risky due to the effects of delay.
Research limitations/implications
The study is limited to only influential factors of internal stakeholders of the construction phase. Similarly, the study was only conducted in the state of Sana'a, Yemen. The implication of the adoption of the IIFs model is that it can hopefully serve as an adaptive controller to construction project delivery relative to the specific parameters and factors investigated in this study.
Originality/value
The IIFs model is a novel approach to optimizing PCD in Yemen specific to both the construction-phase and internal stakeholders. Existing studies on PCD in Yemen, although investigating the causes and effect of PCD, hardly proffer any approach to optimizing PCD for successful construction project delivery.
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Sara S. Badran and Ayman Bahjat Abdallah
The present research aims to investigate how lean project management (LPM) and agile project management (APM) affect project performance outcomes in the construction sector in…
Abstract
Purpose
The present research aims to investigate how lean project management (LPM) and agile project management (APM) affect project performance outcomes in the construction sector in Jordan. This study focuses on six key project performance outcomes, namely cost, time, quality, client satisfaction, innovation and responsiveness.
Design/methodology/approach
The present study employed a quantitative approach to achieve the research objectives. Accordingly, a multi-item survey questionnaire was prepared to gather data from 392 project managers from construction companies in Jordan. The study’s model showed acceptable levels regarding reliability, validity, fit indices and discriminant validity. In order to test the hypotheses of this study, path analysis was employed using Amos 24.0 software.
Findings
LPM demonstrated a remarkably high positive impact on cost performance. It also positively affected quality performance and client satisfaction. However, LPM insignificantly affected time, innovation and responsiveness performance measures. On the other hand, APM showed a notably high positive impact on innovation and responsiveness. The findings also revealed that APM positively impacted quality performance and client satisfaction. In addition, APM negatively impacted cost performance and insignificantly impacted time performance.
Originality/value
This study is one of the first comprehensive studies to empirically examine the impact of both LPM and APM on various project performance outcomes in the construction industry in the context of a developing country. It reveals some similarities and differences between LPM and APM with regard to their impacts on project management outcomes. The findings are expected to guide managers in selecting the appropriate project management approach based on the desired performance outcomes. Accordingly, it offers important implications for project managers in construction companies.
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Hung Duy Nguyen and Laura Macchion
Risks in implementing green building (GB) projects have emerged as a significant obstacle for GB development, especially in developing countries. In recent years, both academics…
Abstract
Purpose
Risks in implementing green building (GB) projects have emerged as a significant obstacle for GB development, especially in developing countries. In recent years, both academics and construction practitioners have paid considerable attention to the risks associated with GB. In this study, the authors aimed to create a comprehensive risk assessment model that considers three crucial risk features: impact level, probability of occurrence and risk manageability.
Design/methodology/approach
In the research, authors adopted the mean scoring and fuzzy synthetic evaluation method to assess GB risks. Based on expert assessments, this model can determine the significance of risk factors, risk groups and overall risk. Notably, this research applied the proposed model to assess GB risks in Vietnam by surveying 58 GB experienced professionals.
Findings
The findings revealed that GB risks are relatively high in Vietnam, implying that risk management is essential for GB projects to succeed. The results also showed that “lack of experience of GB designers” is the most critical factor, and “human resources risk in the design phase” is the top crucial risk group.
Originality/value
This study contributes a novel and practical model to help practitioners assess risks in GB projects. In addition, this research offers detailed GB risk evaluations in Vietnam and thus could be a valuable reference for construction practitioners and future studies.
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Ishita Seth, Kalpna Guleria and Surya Narayan Panda
The internet of vehicles (IoV) communication has recently become a popular research topic in the automotive industry. The growth in the automotive sector has resulted in…
Abstract
Purpose
The internet of vehicles (IoV) communication has recently become a popular research topic in the automotive industry. The growth in the automotive sector has resulted in significant standards and guidelines that have engaged various researchers and companies. In IoV, routing protocols play a significant role in enhancing communication safety for the transportation system. The high mobility of nodes in IoV and inconsistent network coverage in different areas make routing challenging. This paper aims to provide a lane-based advanced forwarding protocol for internet of vehicles (LAFP-IoV) for efficient data distribution in IoV. The proposed protocol’s main feature is that it can identify the destination zone by using position coordinates and broadcasting the packets toward the direction of destination. The novel suppression technique is used in the broadcast method to reduce the network routing overhead.
Design/methodology/approach
The proposed protocol considers the interferences between different road segments, and a novel lane-based forwarding model is presented. The greedy forwarding notion, the broadcasting mechanism, and the suppression approach are used in this protocol to reduce the overhead generated by standard beacon forwarding procedures. The SUMO tool and NS-2 simulator are used for the vehicle's movement pattern and to simulate LAFP-IoV.
Findings
The simulation results show that the proposed LAFP-IoV protocol performs better than its peer protocols. It uses a greedy method for forwarding data packets and a carry-and-forward strategy to recover from the local maximum stage. This protocol's low latency and good PDR make it ideal for congested networks.
Originality/value
The proposed paper provides a unique lane-based forwarding for IoV. The proposed work achieves a higher delivery ratio than its peer protocols. The proposed protocol considers the lanes while forwarding the data packets applicable to the highly dense scenarios.
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Marimuthu Kannimuthu, Benny Raphael, Ekambaram Palaneeswaran and Ananthanarayanan Kuppuswamy
The purpose of this paper is to develop a framework to optimize time, cost and quality in a multi-mode resource-constrained project scheduling environment.
Abstract
Purpose
The purpose of this paper is to develop a framework to optimize time, cost and quality in a multi-mode resource-constrained project scheduling environment.
Design/methodology/approach
A case study approach identified the activity execution modes in building construction projects in India to support multi-mode resource-constrained project scheduling. The data required to compute time, cost and quality of each activity are compiled from real construction projects. A binary integer-programming model has been developed to perform multi-objective optimization and identify Pareto optimal solutions. The RR-PARETO3 algorithm was used to identify the best compromise trade-off solutions. The effectiveness of the proposed framework is demonstrated through sample case study projects.
Findings
Results show that good compromise solutions are obtained through multi-objective optimization of time, cost and quality.
Research limitations/implications
Case study data sets were collected only from eight building construction projects in India.
Practical implications
It is feasible to adopt multi-objective optimization in practical construction projects using time, cost and quality as the objectives; Pareto surfaces help to quantify relationships among time, cost and quality. It is shown that cost can be reduced by increasing the duration, and quality can be improved only by increasing the cost.
Originality/value
The use of different activity execution modes compiled from multiple projects in optimization is illustrated, and good compromise solutions for the multi-mode resource-constrained project scheduling problems using multi-objective optimization are identified.