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Wassim Al Balkhy

Bio: Wassim Al Balkhy is an academic researcher. The author has contributed to research in topics: Construction management & Artificial intelligence. The author has an hindex of 1, co-authored 1 publications receiving 1 citations.

Papers
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Journal ArticleDOI
TL;DR: In this article, the authors identify the barriers to adopt lean construction practices by taking a case of the Kingdom of Jordan, and a questionnaire that included 30 barriers that were resulted from a comprehensive literature review was distributed and filled by 326 respondents from the Jordanian construction industry.
Abstract: During the last few decades, there has been a greater understanding of the role of lean construction (LC) in achieving better management of construction projects and enabling the application of the fourth industrial revolution in the construction industry (Construction 4.0), which in turn, has the potential to improve the practices and outcomes in the construction industry. This paper aims to identify the barriers to adopt LC practices by taking a case of the Kingdom of Jordan. A questionnaire that included 30 barriers that were resulted from a comprehensive literature review was distributed and filled by 326 respondents from the Jordanian construction industry. The findings showed that the absence of support from the top management, low awareness toward LC, lack of training, and the absence of transparency are amongst the most serious factors that hinder the adoption of LC. The findings in this paper might be helpful to improve the knowledge about LC and support the adoption of new techniques that might improve the performance in the construction industry.

20 citations

Journal ArticleDOI
TL;DR: In this article , the authors present the development of a platform to track and localize materials on construction sites, which integrates Radio Frequency Identification (RFID) technology system with Global Positioning System (GPS) for this purpose.
Abstract: The intensity and rate of construction operations require logistics and transportation that can adapt to the changing nature of activities on a day-to-day basis of construction. That enables rapid decision-making. This study aims to present the development of a platform to track and localize materials on construction sites. The platform integrates Radio Frequency Identification (RFID) technology system with Global Positioning System (GPS) for this purpose. The study also reports the use of the platform in a construction project. The results showed that the platform helps achieve improvements related to cost reduction and time saving while managing materials orders. The developed platform allows contractors and construction managers to get real-time information about the status of the materials and better manage the workflow in the project. The study contributes to the existing knowledge and presents a real example of resources management using smart tools in construction projects.

3 citations


Cited by
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01 Jan 2003

81 citations

Journal ArticleDOI
TL;DR: In this article , the authors investigated the influencing factors of job satisfaction of the new generation of construction workers (NGCW) born after 1980 and found that there are 12 main influencing factors, which are at three levels: personal traits, job characteristics and social environment.
Abstract: China’s construction industry is facing serious problems of aging construction workers and labor shortages. Improving the job satisfaction of construction workers is a key point for retaining existing construction workers and for attracting younger generations into the construction field in China. At present, the new generation of construction workers (NGCW) born after 1980 has been the main force on construction sites in China. Therefore, it is very important to study and explore the influencing factors of the job satisfaction of the NGCW. This paper aims to determine the influencing factors of job satisfaction of the NGCW through literature research and to clarify the interaction mechanisms and hierarchical structures of influencing factors using the Decision-Making Trial and Evaluation Laboratory (DEMATEL) and Interpretive Structural Modeling (ISM) to design appropriate human resource practices to promote their job satisfaction. Research findings show that there are 12 main influencing factors of job satisfaction of the NGCW, which are at three levels: personal traits, job characteristics and social environment, and the influencing factors can be divided into a cause group and an effect group, including four layers: the root layer, controllable layer, key layer and direct layer in the multi-level hierarchical structure model. Furthermore, the critical influencing factors of the job satisfaction of the NGCW consist of education level, competency, career development, salaries and rewards, rights protection and work–family balance. This research enriches the job satisfaction literature of construction workers and provides an important reference for decision makers in construction enterprises and the construction industry to understand what influences the job satisfaction of the NGCW and how it is influenced to then improve it in China.

9 citations

Journal ArticleDOI
TL;DR: In this article , the authors investigate the barriers to BIM implementation at AEC (architecture, management, construction, and quantity survey) companies in Jordan, and look at the similarities and differences in perceptions on the significance of these barriers between respondents from different AEC companies.
Abstract: Building Information Modeling (BIM) offers significant opportunities for construction management as it provides an effective method for design and documentation, supports communication and collaboration, and enhances the most important factors of a project (time, cost, and quality). The aim of this study is to investigate the barriers to BIM implementation at AEC (architecture, management, construction, and quantity survey) companies in Jordan, and to look at the similarities and differences in perceptions on the significance of these barriers between respondents from different AEC companies. To accomplish these objectives, a questionnaire survey was created to gather feedback on the 20 major barriers to BIM implementation identified through a comprehensive literature review. The top significant barriers were identified using the Relative Importance Index (RII) and Mean value; and to assess variances between respondents in the four AEC firms, a one-way analysis of variance (ANOVA) was used. From this, it was concluded that the “cost of training”, “cost of BIM software”, “insufficient BIM technical knowledge and awareness”, “lack of adequate BIM guidelines”, and “huge BIM up frontal investment” are the key barriers affecting the BIM implementation in Jordanian AEC companies. Considering this, this study provides an important step towards better understanding the implementation of BIM in Jordan.

7 citations

Journal ArticleDOI
TL;DR: In this paper , the authors identify the FWS selection criteria groupings (e.g., latent factors) and investigate the quantitative interrelationships among them and develop a conceptual framework based on the latent factors.
Abstract: Selecting the appropriate formwork system (FWS) is a critical aspect in the successful completion of reinforced concrete (RC) building construction projects. The selected FWS has a significant impact on the cost, time, and quality performances of the project. As there are many FWSs and formwork fabricators (FWFs) available, the selection of the FWS depends on several compromising and conflicting criteria. This study aims to identify the FWS selection criteria groupings (e.g., latent factors) and investigate the quantitative interrelationships among them. For this purpose, 35 FWS selection criteria were identified through literature review, and a questionnaire was developed. The data from the questionnaire were statistically analyzed, and five latent factors were identified: FWS-FWF characteristics, structural design, local conditions, cost, and performance indicators. A conceptual framework was developed based on the latent factors, and a structural equation modelling (SEM) approach was utilized to identify the effects among the latent factors. The results of the SEM approach confirmed that FWS-FWF characteristics are affected by the structural design and local conditions and FWS-FWF characteristics have a substantial effect on cost and the performance indicators of the project. The findings of this study may assist construction professionals in selecting the FWS in building construction projects.

6 citations

Journal ArticleDOI
TL;DR: In this paper , the relationship between LPS components and project performance was investigated in 255 projects and found 131 projects, in five categories, with sufficient information to construct the metrics, and each sample was assessed separately to test the correlations, and the project categories were compared to determine statistically significant differences.
Abstract: The Last Planner System (LPS) establishes short cycles of planning and control, comprising LP, the make-ready process, short-term planning commitments, identifying reasons for noncompletion, and implementing corrective actions. Most LPS research has covered longitudinal case studies, but quantitative transversal research is needed to determine the impact of key LPS processes in performance. The researchers aimed to determine the relationships between LPS components and project performance. Twenty three metrics were established to evaluate six components and 253 possible correlations between them. The authors assessed information from 255 projects and found 131 projects, in five categories, with sufficient information to construct the metrics. Two categories had sufficient sample sizes, which produced a sample of 71 high-rise building (HR) and 28 industrial construction (IC) projects. Each sample was assessed separately to test the correlations, and the project categories were compared to determine statistically significant differences. Then, the projects were classified according to their schedule performance outcome, using a clustering algorithm to find differences between high- and low-performance projects. Statistically significant correlations between the six components were found in both samples, six metrics presented statistically significant differences between high and low performance in HR projects and one in IC projects.

4 citations