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Lean construction (LC) consists of very effective techniques; however, its implementation varies considerably from one industry to another. Although numerous lean initiatives do exist in the construction industry, the research topic related to LC implementation is still unexplored due to the scarcity of validated assessment frameworks. This study aims to provide the first attempt in developing a structural model for successful LC implementation.

This study developed a Lean construction model (LCM) by critically reviewing seven previous LC frameworks from different countries, defining 18 subprinciples grouped into 6 major principles and formulating testable hypotheses. The questionnaire was pre-tested with 12 construction management experts and revised by 4 specialized academics. A pilot study with 20 construction units enhanced content reliability. Data from 307 Moroccan construction companies were collected to develop a measurement model. SPSS V. 26 was used for Exploratory Factor Analysis, followed by confirmatory factor analysis using AMOS version 23. Finally, a structural equation model statistically assessed each construct's contribution to the success of LC implementation.

This work led to the development of an original LCM based on valid and reliable LC constructs, consisting of 18 measurement items grouped into 6 LC principles: Process Transparency, People involvement, Waste elimination, Planning and Continuous improvement, Client Focus and Material/information flow and pull. According to the structural model, LC implementation success is positively influenced by Planning and Scheduling/continuous improvement (β = 0.930), followed by Elimination of waste (β = 0.896). Process transparency ranks third (β = 0.858). The study demonstrates that all these factors are mutually complementary, highlighting a positive relationship between LC implementation success and the holistic application of all LC principles.

To the best of the authors’ knowledge, this study is the first attempt to develop a statistically proven model of LC based on structural equation modelling analysis, which is promising for stimulating construction practitioners and researchers for more empirical studies in different countries to obtain a more accurate reflection of LC implementation. Moreover, the paper proposes recommendations to help policymakers, academics and practitioners anticipate the key success drivers for more successful LC implementation.

This research seeks to evaluate the impact of applying lean construction principles on the performance of reinforcement operations using a discrete-event simulation (DES) approach.

Process mapping of reinforcements operations was first established through field observation and interviews with construction managers involved in the selected project. Subsequently, quantitative data were gathered and then used to identify the best probabilistic density functions for each activity duration based on the fit-quality tests. Upon testing the validity of the real-world model, a lean simulation model was developed, using ARENA software, to investigate the impact of lean construction principles on the performance of such processes.

Lean principles are effective in enhancing the performance of the selected construction process. Output performance measurements for real-world model and lean model revealed that lean construction principles led to 41% improvement in process productivity, 14% enhancement in process efficiency and 17% reduction in cycle time.

The statistical findings only represent the process under study (reinforcement process) and cannot be generalized to other construction activities. In order to draw generalizable conclusions, future works are needed to extend this study to different project sizes and more complex construction processes (e.g. bricklaying process and concrete pouring operations). Moreover, there are other factors such as labor skills, rework and uncertainty, site conditions that require further analyses for leaner construction projects.

The methodology and the techniques presented in this work can be used for decision making by analyzing various lean construction scenarios and evaluating their impacts on performance outcomes of any construction process prior to real-world implementation.

Waste is typically encountered during the building's life cycle, from the design phase, through the construction phase, to modification and demolition. Most of these construction wastes are unnoticed or unattended by project managers, which lead to serious environmental problems. Effective waste reduction strategies will require a thorough and detailed understanding of the causes of construction waste. Hence, this paper aims to explore critical waste factors (CWFs) affecting the performance of construction projects.

An extensive literature review was carried out to determine these factors based on previous studies, from which a questionnaire was developed. Series of statistical analyses such as reliability analysis, Spearman Correlation, Kruskal–Wallis and factor analysis were performed on a total of 330 valid responses to identify latent factors responsible for wastes occurrence.

This study reveals 31 CWFs through evaluation of prior relevant studies carried out in several countries and then adjusted and validated through semistructured interviews. The significant differences in views within various groups of respondents with different organizational characteristics are highlighted. The results of factor analysis showed that there are six principal components extracted with 66.3% of variance explained (material-related factors; subcontractors and workers; planning, communication and coordination; people involvement and financial issues; people development strategies; and external factors).

This study differs from other studies in the literature by gathering all relevant waste factors including those related to nonphysical waste such as time, budget, workers and equipment. Furthermore, this paper will be of great interest to both practitioners and researchers since it brings various recommendations concerning the prevention/reduction of waste through lean construction for more sustainable construction projects.

Lean construction provides innovative practices to manage construction projects while reducing waste and improving performance. This paper aims to explore the current level of awareness of lean construction practices among Moroccan construction professionals to assess the potential benefits derived from lean construction practices and to identify the critical barriers hindering a successful implementation.

The paper opted for a quantitative approach by using a structured questionnaire survey. A total of 330 valid responses were collected from Moroccan construction practitioners involved in private and public construction organisations.

The results show that 61 per cent of the respondents are familiar with lean construction practices. The findings have also pointed out that the lean construction approach adds a positive impact, specifically on quality, safety and environmental level. In addition, the main barriers hindering a successful lean construction deployment in Morocco are lack of knowledge about lean construction philosophy, unskilled human resources and insufficient financial resources.

This study provides a new insight into the implementation of lean construction in Morocco. It contributes to the body of knowledge, as it uncovers for the first time the level of awareness, the potential benefits derived from lean construction practices and the barriers to implementing lean construction in the Moroccan construction industry. Exploring the current state of lean construction implementation can help practitioners, companies and researchers in the Moroccan construction industry to focus their effort and resources on the significant issues necessary to assist a successful implementation of lean construction. Furthermore, the findings of this study could prove valuable to other countries in Africa, especially those sharing similarities to the Moroccan context.

The idea of implementing supply chain management (SCM) principles for the construction industry was embraced by construction stakeholders to enhance the sector's performance. The analysis from the literature revealed that the implementation of SCM in the construction industry enhances the industry's value in terms of cost-saving, time savings, material management, risk management and others. The construction supply chain (CSC) can be managed using the pull or push system. This chapter also discusses the origin and proliferation of SCM into the construction industry. The chapter revealed that the concept of SCM has passed through five different eras: the creation era, the use of ERP, globalisation stage, specialisation stage and electronic stage. The findings from the literature revealed that we are presently in the fourth industrial revolution (4IR) era. At this stage, the SCM witnesses the adoption of technologies and principles driven by the 4IR. This chapter also revealed that the practice of SCM in the construction industry is centred around integration, collaboration, communication and the structure of the supply chain (SC). The forms and challenges hindering the adoption of these practices were also discussed extensively in this chapter.

The construction sector has a global reach, and construction professionals worldwide often encounter challenges in delivering a project on time and within the assigned budget. Hence, this paper aims to investigate the preproject factors that most affect the performance of construction projects.

A literature review was conducted to identify these factors from previous research, after which a questionnaire was developed and distributed to construction industry professionals worldwide. The response data were collected and analyzed using several methods, including Cronbach’s alpha, Relative Importance Index (RII), Kruskal–Wallis test, and Spearman’s and Pearson correlations.

The results highlight four categories of significance, namely design, stakeholder, engineering, and procurement, with 31 factors being assigned to these categories. The relationships between each factor based on the categories established in the survey are then presented. With the help of data analysis, focusing on these significant preproject factors will help management teams to evaluate and improve the preconstruction process to achieve a higher project success rate.

This study differs from other studies in the literature by gathering all relevant preconstruction success factors by an extensive literature review. Finally, highly ranked factors are studied in detail for a better understanding of the impact of preconstruction factors on project performance. This study is supported by powerful tests such as Kruskal–Wallis test and Spearman’s correlation to study the perception of different groups on preconstruction factors. Furthermore, the data analysis will help in identifying and avoiding the failure part of the previous projects and will improve the planning and/or forecasting of the new projects.