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Article
Publication date: 1 June 2021

Yushen Wang, Wei Xiong, Danna Tang, Liang Hao, Zheng Li, Yan Li and Kaka Cheng

Traditional simulation research of geological and similar engineering models, such as landslides or other natural disaster scenarios, usually focuses on the change of…

Abstract

Purpose

Traditional simulation research of geological and similar engineering models, such as landslides or other natural disaster scenarios, usually focuses on the change of stress and the state of the model before and after destruction. However, the transition of the inner change is usually invisible. To optimize and make models more intelligent, this paper aims to propose a perceptible design to detect the internal temperature change transformed by other energy versions like stress or torsion.

Design/methodology/approach

In this paper, micron diamond particles were embedded in 3D printed geopolymers as a potential thermal sensor material to detect the inner heat change. The authors use synthetic micron diamond powder to reinforced the anti-corrosion properties and thermal conductivity of geopolymer and apply this novel geopolymer slurry in the direct ink writing (DIW) technique.

Findings

As a result, the addition of micron diamond powder can greatly influence the rheology of geopolymer slurry and make the geopolymer slurry extrudable and suitable for DIW by reducing the slope of the viscosity of this inorganic colloid. The heat transfer coefficient of the micron diamond (15 Wt.%)/geopolymer was 50% higher than the pure geopolymer, which could be detected by the infrared thermal imager. Besides, the addition of diamond particles also increased the porous rates of geopolymer.

Originality/value

In conclusion, DIW slurry deposition of micron diamond-embedded geopolymer (MDG) composites could be used to manufacture the multi-functional geological model for thermal imaging and defect detection, which need the characteristic of lightweight, isolation, heat transfer and wave absorption.

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Article
Publication date: 4 August 2014

Nannan Wang

This paper aims to analyse the findings of the relevant studies, to summarise what has been done in this area, to direct future research and to improve private finance…

Abstract

Purpose

This paper aims to analyse the findings of the relevant studies, to summarise what has been done in this area, to direct future research and to improve private finance initiative (PFI) practice. PFI is a new form of contracting out public facilities to the private sector, where facility management was integrated with construction. There have been a large number of academic papers published on this subject; however, there is a lack of a systematic review of the PFI-related studies.

Design/methodology/approach

The literature search focused on international peer-reviewed and published literature, with relevance to PFI. The search of literature, following the method of Tang et al. (2010) and Al-Sharif and Kaka (2004), involved the titles, keywords and abstracts, from some major electronic databases (Web of Science, Engineering Village, Science Direct (Elsevier) and Springer Link) of publications published between 1992 and 2011. The data were classified into six categories for further analysis.

Findings

As a new way to procure public facility management, PFI projects have unique characteristics in comparison to conventional construction procurement. The review of the literature regarding PFI is important in terms of summarising the key findings and suggestions of studies for industry practitioners, as well as forecasting the future academic research trends in this area. The number of research works on PFI increased quickly in recent years; however, the review discovered there were still some issues not yet covered in the literature.

Research limitations/implications

This review is not exhaustive in nature, as the criteria in selecting research papers only included English-written, peer-reviewed journals from some major electronic literature databases. This is the limitation of the research. Further review on a wider range of literature is recommended for researchers.

Originality/value

Since PFI was introduced to the construction industry to fund infrastructure 20 years ago in the UK, it has gained interests from scholars. In this new form of contracting out public facilities to the private sector, facility management was integrated with construction. There have been a large number of academic papers published on this subject; however, there is a lack of a systematic review of the PFI studies.

Details

Facilities, vol. 32 no. 11/12
Type: Research Article
ISSN: 0263-2772

Keywords

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Article
Publication date: 28 May 2020

Muhammad Irfan, Muhammad Sohail Anwar Malik and Syyed Sami Ul Haq Kaka Khel

The purpose of this research is to rank the most significant factors of organizational structure that can reduce time and cost overruns (nonphysical waste) in road…

Abstract

Purpose

The purpose of this research is to rank the most significant factors of organizational structure that can reduce time and cost overruns (nonphysical waste) in road projects of the developing countries. Additionally, the effect of factors of organizational structure on nonphysical waste in road projects is also measured.

Design/methodology/approach

Factors of organizational structure causing time and cost overrun are extracted through a content analysis of the published literature. Moreover, a questionnaire survey is carried out involving 128 professionals to assess the effect of organizational structure factors on time and cost overrun. Finally, to obtain a more objective evaluation, relative importance index and regression analysis techniques are utilized, and the most severe factors influencing time and cost overrun are indicated.

Findings

This study found out that top management support and procurement procedures are the most significant factors influencing time and cost overruns in road projects of the developing countries.

Originality/value

A small number of studies have been conducted to investigate the effect of factors of organizational structure on time and cost overrun in the construction industry. And even more, its relation with respect to road projects of the developing countries is limited. This research highlights the effect of most significant factors of organizational structure that influence the nonphysical waste in road projects of the developing countries. Therefore, this study adds to the body of knowledge by recommending that all the stakeholders of construction project should pay close attention toward these factors to control the enigma of time and cost overrun. It might also prove helpful, if implemented to its full extent, in all the road construction activities undertaken.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 10
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 29 April 2021

Emmanuel Adinyira, Emmanuel Akoi-Gyebi Adjei, Kofi Agyekum and Frank Desmond Kofi Fugar

Knowledge of the effect of various cash-flow factors on expected project profit is important to effectively manage productivity on construction projects. This study was…

Abstract

Purpose

Knowledge of the effect of various cash-flow factors on expected project profit is important to effectively manage productivity on construction projects. This study was conducted to develop and test the sensitivity of a Machine Learning Support Vector Regression Algorithm (SVRA) to predict construction project profit in Ghana.

Design/methodology/approach

The study relied on data from 150 institutional projects executed within the past five years (2014–2018) in developing the model. Eighty percent (80%) of the data from the 150 projects was used at hyperparameter selection and final training phases of the model development and the remaining 20% for model testing. Using MATLAB for Support Vector Regression, the parameters available for tuning were the epsilon values, the kernel scale, the box constraint and standardisations. The sensitivity index was computed to determine the degree to which the independent variables impact the dependent variable.

Findings

The developed model's predictions perfectly fitted the data and explained all the variability of the response data around its mean. Average predictive accuracy of 73.66% was achieved with all the variables on the different projects in validation. The developed SVR model was sensitive to labour and loan.

Originality/value

The developed SVRA combines variation, defective works and labour with other financial constraints, which have been the variables used in previous studies. It will aid contractors in predicting profit on completion at commencement and also provide information on the effect of changes to cash-flow factors on profit.

Details

Engineering, Construction and Architectural Management, vol. 28 no. 5
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 7 July 2020

Yan-Chun Zhang, Wu-Zan Luo, Ming Shan, Dong-Wen Pan and Wen-Jie Mu

The aims of this study are to conduct a systematic review of public–private partnership (PPP) studies published from 2009 to 2019, to compare the results with Ke et al.

Abstract

Purpose

The aims of this study are to conduct a systematic review of public–private partnership (PPP) studies published from 2009 to 2019, to compare the results with Ke et al. (2009) who reviewed the PPP literature published from 1998 to 2008, and to trace the evolution of the PPP knowledge in the past two decades. This study also presents the possible directions that the PPP research may go towards in the future, arguably.

Design/methodology/approach

This study carried out a top journal-based search to identify the quality PPP articles published from 2009 to 2019. A total of 12 top-tier construction journals were systematically searched in the database of web of science (WOS), from which 279 PPP articles were identified for review.

Findings

The number of the identified articles, the titles of the journals, institutions, the most cited papers, and prevalent research methods were analyzed and compared. The existing PPP studies in construction journals were classified into seven streams. Through analysis of the PPP research status and gaps, five future research directions were revealed.

Originality/value

This study contributes to the current body of knowledge by revealing the research trend of PPP from 2009 to 2019. It presents the change of PPP development trend in the past decade through comparison with Ke et al. (2009). It also reveals the major research streams and points out the directions that the PPP research may go towards in the future. Moreover, this study is helpful to the practice as well. It can enhance the practitioners' understanding of the PPP development in the past decade. In addition, it identified the research institutions contributing the most in the area of PPP, which may serve as valuable reference for practitioners to locate the best institutions for consultancy or collaboration.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 10
Type: Research Article
ISSN: 0969-9988

Keywords

Content available
Article
Publication date: 25 September 2018

Ruwini Edirisinghe

The future construction site will be pervasive, context aware and embedded with intelligence. The purpose of this paper is to explore and define the concept of the digital…

Abstract

Purpose

The future construction site will be pervasive, context aware and embedded with intelligence. The purpose of this paper is to explore and define the concept of the digital skin of the future smart construction site.

Design/methodology/approach

The paper provides a systematic and hierarchical classification of 114 articles from both industry and academia on the digital skin concept and evaluates them. The hierarchical classification is based on application areas relevant to construction, such as augmented reality, building information model-based visualisation, labour tracking, supply chain tracking, safety management, mobile equipment tracking and schedule and progress monitoring. Evaluations of the research papers were conducted based on three pillars: validation of technological feasibility, onsite application and user acceptance testing.

Findings

Technologies learned about in the literature review enabled the envisaging of the pervasive construction site of the future. The paper presents scenarios for the future context-aware construction site, including the construction worker, construction procurement management and future real-time safety management systems.

Originality/value

Based on the gaps identified by the review in the body of knowledge and on a broader analysis of technology diffusion, the paper highlights the research challenges to be overcome in the advent of digital skin. The paper recommends that researchers follow a coherent process for smart technology design, development and implementation in order to achieve this vision for the construction industry.

Details

Engineering, Construction and Architectural Management, vol. 26 no. 2
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 1 February 2021

B.A.K.S. Perera and Kaveesha Gihani Dewagoda

Delayed payments have been long standing, pressing issue in construction projects, especially in Government-funded construction projects. The root causes and the…

Abstract

Purpose

Delayed payments have been long standing, pressing issue in construction projects, especially in Government-funded construction projects. The root causes and the consequences of delayed payments must be identified before implementing strategies to mitigate the consequences of such delayed payments. However, these causes and consequences and the parties responsible for managing the delayed payments have not been identified so far. Therefore, the purpose of this study is to investigate the management of payment delays in Government-funded construction projects.

Design/methodology/approach

The study used a mixed approach comprising four case studies and a questionnaire survey. The empirical data collected from the case studies and the questionnaire survey were analysed using manual content analysis and mean rating, respectively.

Findings

The study identified the most significant causes and the most significant consequences of delayed payments that occur in Government-funded construction projects. It also revealed the strategies that clients, consultants, contractors and other parties can adopt to mitigate the adverse consequences of such delayed payments.

Originality/value

This study identified the most significant causes of delayed payments in Government-funded construction projects, the most significant consequences of such delayed payments and the most suitable strategies the clients, consultants and contractors can adopt to mitigate the consequences of such delayed payments. Thus, this study supports streamlining the management of payment delays in Government construction projects and identifies the roles that different parties must play in managing payment delays in Government building projects, which is an under-researched area.

Details

Journal of Financial Management of Property and Construction , vol. 26 no. 2
Type: Research Article
ISSN: 1366-4387

Keywords

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Article
Publication date: 5 April 2019

Sang Quang Van, Long Le-Hoai and Chau Ngoc Dang

The purpose of this paper is to predict implementation cost contingencies for residential construction projects in flood-prone areas, where floods with storms frequently…

Abstract

Purpose

The purpose of this paper is to predict implementation cost contingencies for residential construction projects in flood-prone areas, where floods with storms frequently cause serious damage and problems for people.

Design/methodology/approach

Expert interviews are conducted to identify the study variables. Based on bills of quantities and project documents, historical data on residential construction projects in flood-prone areas are collected. Pearson correlation analysis is first used to check the correlations among the study variables. To overcome multicollinearity, principal component analysis is used. Then, stepwise multiple regression analysis is used to develop the cost prediction model. Finally, non-parametric bootstrap method is used to develop range estimation of the implementation cost.

Findings

A list of project-related variables, which could significantly affect implementation costs of residential construction projects in flood-prone areas, is identified. A model, which is developed based on an integration of principle component analysis and regression analysis, is robust. Regarding range estimation, 10, 50 and 90 percent cost estimates, which could provide information about the uncertainty levels in the estimates, are established. Furthermore, implementation cost contingencies which could show information about the variability in the estimates are determined for example case projects. Such information could be critical to cost-related management of residential construction projects in flood-prone areas.

Originality/value

This study attempts to predict implementation cost contingencies for residential construction projects in flood-prone areas using non-parametric bootstrap method. Such contingencies could be useful for project cost budgeting and/or effective cost management.

Details

International Journal of Managing Projects in Business, vol. 12 no. 4
Type: Research Article
ISSN: 1753-8378

Keywords

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Article
Publication date: 1 August 2018

Chau Ngoc Dang and Long Le-Hoai

The purpose of this paper is to develop several predictive models for estimating the structural construction cost and establish range estimation for the structural…

Abstract

Purpose

The purpose of this paper is to develop several predictive models for estimating the structural construction cost and establish range estimation for the structural construction cost using design information available in early stages of residential building projects.

Design/methodology/approach

Information about residential building projects is collected based on project documents from construction companies with regard to the design parameters and the actual structural construction costs at completion. Storey enclosure method (SEM) is fundamental for determining the building design parameters, forming the potential variables and developing the cost estimation models using regression analysis. Nonparametric bootstrap method is used to establish range estimation for the structural construction cost.

Findings

A model which is developed from an integration of advanced SEM, principle component analysis and regression analysis is robust in terms of predictability. In terms of range estimation, cumulative probability-based range estimates and confidence intervals are established. While cumulative probability-based range estimates provide information about the level of uncertainty included in the estimate, confidence intervals provide information about the variability of the estimate. Such information could be very crucial for management decisions in early stages of residential building projects.

Originality/value

This study could provide practitioners with a better understanding of the uncertainty and variability included in the cost estimate. Hence, they could make effective improvements on cost-related management approaches to enhance project cost performance.

Details

Engineering, Construction and Architectural Management, vol. 25 no. 7
Type: Research Article
ISSN: 0969-9988

Keywords

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Article
Publication date: 12 June 2020

Huimin Li, Limin Su, Lelin L.V. and Qing Xia

To achieve sustainability for a construction project requires the achievement of economic, environmental and social sustainability at the same time. The economic…

Abstract

Purpose

To achieve sustainability for a construction project requires the achievement of economic, environmental and social sustainability at the same time. The economic sustainability of a project should be built into the stipulated cost. The unbalanced bidding always contribute cost overrun for a construction project. The purpose of this paper is to develop a method for identifying unbalanced bidding.

Design/methodology/approach

The problem of identifying unbalanced bidding is a comprehensive evaluation problem. All line items and bidders in bills of quantities are evaluation factors and evaluation objects, respectively, and the engineer’s estimated prices are considered as the evaluation benchmarks. The weights of these factors are determined through integrating the entropy weight method and the analytic hierarchy model, which consider subjective and objective factors in the weighting process.

Findings

The proposed model can be used to quantitatively evaluate unbalanced bids. The identification process can be analyzed within a short period, specifically with the aid of Microsoft Excel, reducing delays in awarding contracts. The results show that the model will support owners as they efficiently and effectively identify unbalanced bids in the bid evaluation stage to mitigate the negative consequences of unbalanced bidding.

Practical implications

A case study is given to verify the feasibility and practicability of the proposed method, which not only assists owners in efficiently and effectively identifying unbalanced bidding, but also promotes the economic sustainability of construction projects.

Originality/value

The fuzzy comprehensive evaluation method is used to detect unbalanced bidding, allowing owners to be objective as they identify and reduce unbalanced bidding at the procurement stage.

Details

Construction Innovation , vol. 21 no. 2
Type: Research Article
ISSN: 1471-4175

Keywords

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