Search results

1 – 10 of 18
Article
Publication date: 19 April 2022

Esmatullah Noorzai

This paper aims to develop a decision-making model to analyze and select the most appropriate lean technique (LT), considering success factors to improve site management…

Abstract

Purpose

This paper aims to develop a decision-making model to analyze and select the most appropriate lean technique (LT), considering success factors to improve site management and reduce waste in the construction phase.

Design/methodology/approach

A comprehensive literature review identified six LTs and the 11 most critical factors affecting the efficiency of the construction phase. Then, the appropriateness of these LTs to improve the identified factors were assessed using the analytic hierarchy process. At last, a sensitivity analysis of the results was performed to validate the findings.

Findings

The results show that the most effective LT to improve success factors in the construction phase is “Daily Huddle Meetings”, and the most critical factor with the greatest impact on LT selection is determined to be “Efficient Construction Management”.

Originality/value

Few studies have evaluated the suitability of LTs in terms of construction success factors (CSFs). Hence, given the vital role of the construction phase in the whole project life cycle and the impact of LTs in improving the productivity of this phase, this research investigates the correlation between LTs and CSFs to promote efficient site management.

Details

Construction Innovation , vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 9 February 2022

Farzaneh Moshtaghian and Esmatullah Noorzai

This research has been conducted with a view to creating a framework to integrate risk management based on building information modeling (BIM) information.

Abstract

Purpose

This research has been conducted with a view to creating a framework to integrate risk management based on building information modeling (BIM) information.

Design/methodology/approach

In this research, all the information related to the construction of a residential project including 3D, 4D and 5D BIM models and the execution and control phases information was collected, and the risk list was determined for each activity accordingly.

Findings

The present study has suggested a framework for risk management in order to optimize project changes.

Originality/value

The lack of integration between 3D, 4D and 5D modeling besides execution information is a fundamental problem in many projects. The gap between these two groups of information will lead to improper management and late decisions, eventually imposing unforeseen delays and cost overruns. Risk management by the means of adopting a new approach has been addressed in recent studies using new methods, such as BIM and its associated technologies, some of which were mentioned in the review of theoretical literature in this research.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 5 June 2020

Majid Parchami Jalal, Tayebe Yavari Roushan, Esmatullah Noorzai and Maryam Alizadeh

This study aims at introducing a claim management model based on building information modeling (BIM) for claims that can be visualized in BIM models.

Abstract

Purpose

This study aims at introducing a claim management model based on building information modeling (BIM) for claims that can be visualized in BIM models.

Design/methodology/approach

Based on the results of a questionnaire survey, 10 claims were identified as claims that can be visualized in BIM models (named hard claims in this study). Then, a BIM-based claim management model was developed and used in a case study.

Findings

A BIM-based claim management model is represented. The claim management process through this model consists of four steps: (1) extracting project information, identifying conditions prone to claim and storing them into a relational database, (2) automatically connecting the database to building information model, (3) simulation of the claims in building information model and (4) final calculations and report.

Practical implications

The proposed model can provide benefits to parties involved in a claim, such as early identification of potential claims, large space for data storage, facilitated claim management processes, information consistency and improved collaboration.

Originality/value

There are a few studies on providing solutions to claim management based on BIM process. Hence, the original contribution of this paper is the attempt to set a link between BIM and claim management processes.

Article
Publication date: 9 September 2022

Siavash Ghorbany, Saied Yousefi and Esmatullah Noorzai

Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many…

71

Abstract

Purpose

Being an efficient mechanism for the value of money, public–private partnership (PPP) is one of the most prominent approaches for infrastructure construction. Hence, many controversies about the performance effectiveness of these delivery systems have been debated. This research aims to develop a novel performance management perspective by revealing the causal effect of key performance indicators (KPIs) on PPP infrastructures.

Design/methodology/approach

The literature review was used in this study to extract the PPPs KPIs. Experts’ judgment and interviews, as well as questionnaires, were designed to obtain data. Copula Bayesian network (CBN) has been selected to achieve the research purpose. CBN is one of the most potent tools in statistics for analyzing the causal relationship of different elements and considering their quantitive impact on each other. By utilizing this technique and using Python as one of the best programming languages, this research used machine learning methods, SHAP and XGBoost, to optimize the network.

Findings

The sensitivity analysis of the KPIs verified the causation importance in PPPs performance management. This study determined the causal structure of KPIs in PPP projects, assessed each indicator’s priority to performance, and found 7 of them as a critical cluster to optimize the network. These KPIs include innovation for financing, feasibility study, macro-environment impact, appropriate financing option, risk identification, allocation, sharing, and transfer, finance infrastructure, and compliance with the legal and regulatory framework.

Practical implications

Identifying the most scenic indicators helps the private sector to allocate the limited resources more rationally and concentrate on the most influential parts of the project. It also provides the KPIs’ critical cluster that should be controlled and monitored closely by PPP project managers. Additionally, the public sector can evaluate the performance of the private sector more accurately. Finally, this research provides a comprehensive causal insight into the PPPs’ performance management that can be used to develop management systems in future research.

Originality/value

For the first time, this research proposes a model to determine the causal structure of KPIs in PPPs and indicate the importance of this insight. The developed innovative model identifies the KPIs’ behavior and takes a non-linear approach based on CBN and machine learning methods while providing valuable information for construction and performance managers to allocate resources more efficiently.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 23 September 2022

Hossein Sohrabi and Esmatullah Noorzai

The present study aims to develop a risk-supported case-based reasoning (RS-CBR) approach for water-related projects by incorporating various uncertainties and risks in…

Abstract

Purpose

The present study aims to develop a risk-supported case-based reasoning (RS-CBR) approach for water-related projects by incorporating various uncertainties and risks in the revision step.

Design/methodology/approach

The cases were extracted by studying 68 water-related projects. This research employs earned value management (EVM) factors to consider time and cost features and economic, natural, technical, and project risks to account for uncertainties and supervised learning models to estimate cost overrun. Time-series algorithms were also used to predict construction cost indexes (CCI) and model improvements in future forecasts. Outliers were deleted by the pre-processing process. Next, datasets were split into testing and training sets, and algorithms were implemented. The accuracy of different models was measured with the mean absolute percentage error (MAPE) and the normalized root mean square error (NRSME) criteria.

Findings

The findings show an improvement in the accuracy of predictions using datasets that consider uncertainties, and ensemble algorithms such as Random Forest and AdaBoost had higher accuracy. Also, among the single algorithms, the support vector regressor (SVR) with the sigmoid kernel outperformed the others.

Originality/value

This research is the first attempt to develop a case-based reasoning model based on various risks and uncertainties. The developed model has provided an approving overlap with machine learning models to predict cost overruns. The model has been implemented in collected water-related projects and results have been reported.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 3 February 2020

Adib Amany, Katayoon Taghizade and Esmatullah Noorzai

This paper aims to increase the integrity of the planning process with the executive process by simulating the Last Planner System (LPS) technique using building…

Abstract

Purpose

This paper aims to increase the integrity of the planning process with the executive process by simulating the Last Planner System (LPS) technique using building information modeling.

Design/methodology/approach

A five-dimensional model was prepared, and after specifying the number of physical conflicts on the plans, all the scenarios of the starting points in the expert contractors’ plans were analyzed. Accordingly, the best scenario was determined by LPS technique. To assess the performance of the study, it was implemented on several tasks of a construction project.

Findings

The results of this research indicate that if this method is used in the planning process, the time conflicts between the expert contractors who are in the critical path are reduced, and the total delay of the scheduled time reaches zero. In addition, the conflicts between contractors whose suspension will cause no incentive and increase the daily cost overruns will reduce to the lowest point.

Originality/value

By simulating LPS in the planning process, time-physical conflicts are considered at the lowest point. Using this approach, conflicts are detected before the execution process, resulting in a significant reduction in the delays and cost overruns in construction projects.

Details

Journal of Engineering, Design and Technology , vol. 18 no. 6
Type: Research Article
ISSN: 1726-0531

Keywords

Article
Publication date: 25 March 2020

Farzaneh Moshtaghian, Mahmood Golabchi and Esmatullah Noorzai

Merging and updating project information and recording changes can give dynamic risk identification at all stages of the project. The main purpose of this research is to…

Abstract

Purpose

Merging and updating project information and recording changes can give dynamic risk identification at all stages of the project. The main purpose of this research is to create an integration in construction information.

Design/methodology/approach

In this research, the 5D model was prepared and then all model information was entered into the database designed in SQL Server, the project report tables were coded, and finally, a database with four groups of information was ready for risk identification.

Findings

Creating an integrated risk identification platform reduced rework and time and cost control and change management, which were positive effects of risk identification at the right time.

Research limitations/implications

In order to identify risks, creating multilateral databases whose information integration enables timely completion of the project and compliance with the planning.

Practical implications

This research is the basis for identifying project risks within the framework of building information modeling and can be an effective contribution to increasing the risk-taking efficiency of the project.

Originality/value

As a matter of fact, marked time and cost are terrific motivating forces for the building industry, materializing with identify risk well-time. In any case, identifying risk engaged with all of the dimensions depend on this industry.

Details

Smart and Sustainable Built Environment, vol. 9 no. 4
Type: Research Article
ISSN: 2046-6099

Keywords

Article
Publication date: 26 January 2021

Mojgan Mortezaei Farizhendy, Mahmood Golabchi and Esmatullah Noorzai

The purpose of this research is to identify the effective criteria and determine the required infrastructure for the repair of drilling rigs.

Abstract

Purpose

The purpose of this research is to identify the effective criteria and determine the required infrastructure for the repair of drilling rigs.

Design/methodology/approach

The research was carried out through questionnaires and interviews with experts, including consultants, contractors and operators. A long list of the required infrastructure, dividing into three groups of vital, necessary and support, was prepared and compared with the productivity criteria.

Findings

The results show that it is better to prepare and upgrade the vital, necessary and supportive equipment in the shipyards, including refrigeration workshop, cofferdam for repairing spudcans and residential and educational places.

Practical implications

These results are helpful for the industries working on jack-ups and the countries having similar conditions to enable them to use their assets in an optimum way.

Originality/value

Oil drilling rigs' repair and maintenance (R&M) services are essential because of affecting the economy. Furthermore, about 25% of Iran’s oil drilling rigs are jack-up, needing overhauls every five years. Other research has investigated how to repair jack-ups, their incidents, their R&M industry market and, only in some cases mentioned, cost and time criteria. Therefore, it is necessary to identify the criteria and study the infrastructures in the shipyards.

Details

Journal of Facilities Management , vol. 19 no. 2
Type: Research Article
ISSN: 1472-5967

Keywords

Article
Publication date: 6 June 2022

Solmaz Ahmadzadeh Amid, Esmatullah Noorzai and Mahmood Golabchi

Because the construction industry is one of the largest waste producers, understanding the primary reasons for waste production is essential. The goal of this study is to…

Abstract

Purpose

Because the construction industry is one of the largest waste producers, understanding the primary reasons for waste production is essential. The goal of this study is to identify the major causes of waste production over the project life cycle in Iran's construction industry and to propose effective solutions based on modern technologies like BIM.

Design/methodology/approach

After identifying the primary causes of construction and demolition waste production through interviews and literature analysis, solutions based on building information modeling (BIM) were provided. Then, using questionnaires and exploratory factor analysis (EFA), the areas impacting waste reduction were found.

Findings

The findings suggest that “prefabrication” is the best approach for improving time and quality, while “detection and prediction of errors in the design and construction phases” is the most cost-effective technique for addressing cost and environmental issues.

Originality/value

Cost, time, quality and environmental concerns may all be influenced by effective waste management throughout the project life cycle. Furthermore, utilizing state-of-the-art technologies has far-reaching implications for reducing material waste, resulting in more environmental-friendly construction.

Details

The TQM Journal, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1754-2731

Keywords

Article
Publication date: 22 July 2021

Meysam Soltaninejad, Amir Faraji and Esmatullah Noorzai

The purpose of this study is to introduce and evaluate the effect of critical success factors (CSF) in rescue operations in burning buildings by calculating the partial…

Abstract

Purpose

The purpose of this study is to introduce and evaluate the effect of critical success factors (CSF) in rescue operations in burning buildings by calculating the partial least squares structural equation modeling of PLS-SEM.

Design/methodology/approach

To do this, success criteria (SC) and CSF in the literature, which are related to the topic, articles, standards and relevant books, will be identified and then evaluated through the extended PLS-SEM model.

Findings

The results show that technological factors, awareness, resources and safety play an effective role in successful performance management in fire accidents.

Research limitations/implications

Appropriate use of these factors will promote incident management and decrease casualties and financial loss in the event of accidents.

Originality/value

Fire-fighting is of great importance, especially in tall and complex buildings. In recent years, extended studies have been carried out regarding fire accident management in terms of CSFs in the category of rescue and firefighting. However, attention has not been paid to the relation and severity of impact between SC and CSF by researchers in addition to the identification of the most important criteria during rescue operations.

Details

Facilities , vol. 39 no. 13/14
Type: Research Article
ISSN: 0263-2772

Keywords

1 – 10 of 18