Purpose Construction waste reduction (CWR) plays a vital role in achieving sustainability in construction. A good CWR practice can result in optimizing material usage, conserving natural resources, limiting environmental pollution, protecting the environment and enhancing human health. In this regard, the purpose of the current study is to identify the most relevant organizational policies that aid in waste reduction and concurrently explores the congruent measures to be adopted during the construction process in the Indian high-rise building sector. Design/methodology/approach The research findings were obtained through a mixed- method approach. Content analysis was used to identify waste reduction measures (variables) targeting on the two domains of construction – “waste-efficient execution” and “waste – mitigating organizational policies.” Furthermore, the authors explored and documented the key measures from the identified waste reduction measures using the constraint value of the relative importance index. As the next step, the study listed the theoretical hypothesis based on expert interviews and tested the theory through confirmatory factor analysis. Findings The results revealed that “waste sensitive construction techniques and strategies” as the most significant category under the domain “Execution” with a path coefficient of 0.85. Concurrently, the study has also determined that “control procedures for budget, quality and resources” as the most effective organizational approach in reducing construction waste in the Indian building industry, with a path coefficient of 0.83. Originality/value The current research is context-sensitive to the Indian construction sector. It presents the stakeholder’s perspective on construction waste reduction and the relevant measures to be implemented to reduce construction waste in high-rise building projects in India. It can also act as a concordance for decision-makers to further focus on CWR management and aid in formulating policies suitable for the Indian context.
{"title":"Construction waste reduction measures for high-rise buildings in India – a stakeholder’s perspective","authors":"B. Viswalekshmi, D. Bendi","doi":"10.1108/ci-09-2023-0228","DOIUrl":"https://doi.org/10.1108/ci-09-2023-0228","url":null,"abstract":"\u0000Purpose\u0000Construction waste reduction (CWR) plays a vital role in achieving sustainability in construction. A good CWR practice can result in optimizing material usage, conserving natural resources, limiting environmental pollution, protecting the environment and enhancing human health. In this regard, the purpose of the current study is to identify the most relevant organizational policies that aid in waste reduction and concurrently explores the congruent measures to be adopted during the construction process in the Indian high-rise building sector.\u0000\u0000\u0000Design/methodology/approach\u0000The research findings were obtained through a mixed- method approach. Content analysis was used to identify waste reduction measures (variables) targeting on the two domains of construction – “waste-efficient execution” and “waste – mitigating organizational policies.” Furthermore, the authors explored and documented the key measures from the identified waste reduction measures using the constraint value of the relative importance index. As the next step, the study listed the theoretical hypothesis based on expert interviews and tested the theory through confirmatory factor analysis.\u0000\u0000\u0000Findings\u0000The results revealed that “waste sensitive construction techniques and strategies” as the most significant category under the domain “Execution” with a path coefficient of 0.85. Concurrently, the study has also determined that “control procedures for budget, quality and resources” as the most effective organizational approach in reducing construction waste in the Indian building industry, with a path coefficient of 0.83.\u0000\u0000\u0000Originality/value\u0000The current research is context-sensitive to the Indian construction sector. It presents the stakeholder’s perspective on construction waste reduction and the relevant measures to be implemented to reduce construction waste in high-rise building projects in India. It can also act as a concordance for decision-makers to further focus on CWR management and aid in formulating policies suitable for the Indian context.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"1 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141796209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose The construction industry is witnessing a paradigm shift as a consequence of the fourth industrial revolution (IR 4.0). The implementation of IR4.0 technologies is, however, elementary in emerging economies such as Saudi Arabia. Therefore, the purpose of this paper is to carry out an examination of benefits, challenges and critical success factors for IR4.0 implementation in the construction industry in Saudi Arabia. Design/methodology/approach The methodology entailed a thorough review of the extant literature and consultation with experienced construction professionals in Saudi Arabia through questionnaire surveys. The data collected was further analyzed using the relative importance index approach and the confirmatory factor analysis. Findings The most important benefits, challenges and critical success factors established by this study include “Improved Communication and Coordination,” “Cost of implementation (initial investment and maintenance)” and “Clear goals and objectives,” respectively. Confirmatory factor analysis established a theoretical model to serve as a foundation for IR4.0 adoption in the Saudi construction industry. Research limitations/implications The limitations may be perceived in terms of the local context of the research, as well as the sample size. This prevents the potential for generalization of the study’s results. Practical implications It is of practical value to the Saudi construction industry in facilitating the successful implementation of technology through policies, frameworks and best practice guidance. Originality/value The study advances the theoretical knowledge of technology implementation in the construction industry. Emerging economies such as Saudi Arabia seeking to leverage the capabilities of digital technologies will find the results of this to be of crucial value.
{"title":"Industry 4.0 technologies: an examination of benefits, challenges and critical success factors for implementation in the Saudi construction industry","authors":"Abdullah O. AlSehaimi, Muizz O. Sanni-Anibire","doi":"10.1108/ci-01-2024-0001","DOIUrl":"https://doi.org/10.1108/ci-01-2024-0001","url":null,"abstract":"\u0000Purpose\u0000The construction industry is witnessing a paradigm shift as a consequence of the fourth industrial revolution (IR 4.0). The implementation of IR4.0 technologies is, however, elementary in emerging economies such as Saudi Arabia. Therefore, the purpose of this paper is to carry out an examination of benefits, challenges and critical success factors for IR4.0 implementation in the construction industry in Saudi Arabia.\u0000\u0000\u0000Design/methodology/approach\u0000The methodology entailed a thorough review of the extant literature and consultation with experienced construction professionals in Saudi Arabia through questionnaire surveys. The data collected was further analyzed using the relative importance index approach and the confirmatory factor analysis.\u0000\u0000\u0000Findings\u0000The most important benefits, challenges and critical success factors established by this study include “Improved Communication and Coordination,” “Cost of implementation (initial investment and maintenance)” and “Clear goals and objectives,” respectively. Confirmatory factor analysis established a theoretical model to serve as a foundation for IR4.0 adoption in the Saudi construction industry.\u0000\u0000\u0000Research limitations/implications\u0000The limitations may be perceived in terms of the local context of the research, as well as the sample size. This prevents the potential for generalization of the study’s results.\u0000\u0000\u0000Practical implications\u0000It is of practical value to the Saudi construction industry in facilitating the successful implementation of technology through policies, frameworks and best practice guidance.\u0000\u0000\u0000Originality/value\u0000The study advances the theoretical knowledge of technology implementation in the construction industry. Emerging economies such as Saudi Arabia seeking to leverage the capabilities of digital technologies will find the results of this to be of crucial value.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"40 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141808489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This study aims to identify and analyse critical success factors (CSFs) for the successful implementation of distributed ledger technology (DLT) in the Nigerian construction industry. Design/methodology/approach This study adopts a quantitative approach that uses snowball sampling techniques to identify professionals participating in the study. A structured questionnaire was used to collect data virtually, using Google Forms, resulting in 217 valid responses. The collected data were subjected to rigorous statistical analysis (descriptive and inferential) to identify and prioritise the CSFs and evaluate the participants’ awareness and knowledge of DLT. Findings This study revealed 24 key CSFs that are pivotal in ensuring the effective implementation and adoption of DLT in the Nigerian construction industry. Furthermore, the research highlights a moderate level of awareness, but significantly low knowledge of DLT among industry professionals. Practical implications The findings of this study will benefit professionals, practitioners and policymakers in the Nigerian construction industry by providing insights into the potential of DLT to improve construction operations. Originality/value This study contributes to the literature by identifying the CSFs for implementing DLT in the construction industry and shedding light on the current level of awareness and knowledge within the Nigerian context. The findings offer valuable insights for policymakers, industry practitioners and researchers, providing a solid foundation for informed decision-making and developing effective strategies to enhance DLT adoption in the construction sector.
{"title":"Critical success factors (CSFs) for the implementation of distributed ledger technology (DLT) in the Nigerian construction industry","authors":"A. Bello, Taofeek Tunde Okanlawon, Precious Oluwatofunmi Gbenga, Aliyyu Abiola Abdulraheem, Olujide Tunde Olagoke","doi":"10.1108/ci-12-2023-0314","DOIUrl":"https://doi.org/10.1108/ci-12-2023-0314","url":null,"abstract":"Purpose\u0000This study aims to identify and analyse critical success factors (CSFs) for the successful implementation of distributed ledger technology (DLT) in the Nigerian construction industry.\u0000\u0000Design/methodology/approach\u0000This study adopts a quantitative approach that uses snowball sampling techniques to identify professionals participating in the study. A structured questionnaire was used to collect data virtually, using Google Forms, resulting in 217 valid responses. The collected data were subjected to rigorous statistical analysis (descriptive and inferential) to identify and prioritise the CSFs and evaluate the participants’ awareness and knowledge of DLT.\u0000\u0000Findings\u0000This study revealed 24 key CSFs that are pivotal in ensuring the effective implementation and adoption of DLT in the Nigerian construction industry. Furthermore, the research highlights a moderate level of awareness, but significantly low knowledge of DLT among industry professionals.\u0000\u0000Practical implications\u0000The findings of this study will benefit professionals, practitioners and policymakers in the Nigerian construction industry by providing insights into the potential of DLT to improve construction operations.\u0000\u0000Originality/value\u0000This study contributes to the literature by identifying the CSFs for implementing DLT in the construction industry and shedding light on the current level of awareness and knowledge within the Nigerian context. The findings offer valuable insights for policymakers, industry practitioners and researchers, providing a solid foundation for informed decision-making and developing effective strategies to enhance DLT adoption in the construction sector.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":" 442","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141823802","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose Cost overruns are an inevitable issue in design and build (D&B) projects. In D&B projects, causes for cost overruns can be managed by adopting appropriate building information modelling (BIM) functions. Because there is a research gap in synergy between the use of BIM for mitigating cost overruns in D&B projects, this study aims to evaluate the adaptability of BIM to manage cost overrun issues in them. Design/methodology/approach Research objectives were attained through a quantitative research approach adopting the Delphi technique, which consists of three rounds of a questionnaire survey. Through statistical tools, the collected data were analysed. Findings This research revealed the ten most crucial causes for cost overruns in D&B projects, where continuous changes in designs and drawings are the top causes. Change and revision management and interoperability are the most crucial BIM functions to address the aforementioned cause. Subsequently, 16 enablers, 26 barriers and 19 strategies to implement BIM to manage the identified significant causes of cost overruns were overviewed. Originality/value This study addresses the literature gap pertaining to the cost overrun in D&B projects and the application of BIM by studying the causes for cost overrun, suggesting BIM functions to mitigate the above cause. Moreover, this study assessed the probable barriers and enablers for BIM adoption in construction projects from D&B perspective.
{"title":"Adaptability of BIM technology to mitigate the cost overruns in design and build projects","authors":"K.L. Chamikara, B.A.K.S. Perera, Dinithi Piyumra Raigama Acharige, Biyanka Ekanayake","doi":"10.1108/ci-01-2024-0018","DOIUrl":"https://doi.org/10.1108/ci-01-2024-0018","url":null,"abstract":"\u0000Purpose\u0000Cost overruns are an inevitable issue in design and build (D&B) projects. In D&B projects, causes for cost overruns can be managed by adopting appropriate building information modelling (BIM) functions. Because there is a research gap in synergy between the use of BIM for mitigating cost overruns in D&B projects, this study aims to evaluate the adaptability of BIM to manage cost overrun issues in them.\u0000\u0000\u0000Design/methodology/approach\u0000Research objectives were attained through a quantitative research approach adopting the Delphi technique, which consists of three rounds of a questionnaire survey. Through statistical tools, the collected data were analysed.\u0000\u0000\u0000Findings\u0000This research revealed the ten most crucial causes for cost overruns in D&B projects, where continuous changes in designs and drawings are the top causes. Change and revision management and interoperability are the most crucial BIM functions to address the aforementioned cause. Subsequently, 16 enablers, 26 barriers and 19 strategies to implement BIM to manage the identified significant causes of cost overruns were overviewed.\u0000\u0000\u0000Originality/value\u0000This study addresses the literature gap pertaining to the cost overrun in D&B projects and the application of BIM by studying the causes for cost overrun, suggesting BIM functions to mitigate the above cause. Moreover, this study assessed the probable barriers and enablers for BIM adoption in construction projects from D&B perspective.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"39 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose The purpose of this study is to provide evidence to support an emerging theory that interpersonal conflict is the primary cause of workplace stress among a self-selected sample of Irish construction managers. Design/methodology/approach Eighteen construction managers working in Ireland were recruited for this study. Using semi-structured interviews and interpretative phenomenological analysis as the research methodology, the causes of their workplace stress were investigated. Findings Participants reported that the principal cause of their workplace stress was high levels of interpersonal conflict between colleagues. The effects of this interpersonal conflict included avoidance behaviour, ill health, absences from the workplace and loss of productivity issues. Deadlines, penalty clauses, lack of appreciation, cliques, costs, communication, temporary contracts and delays were also reported stressors. Research limitations/implications A limitation of the study is the small sample of 18 construction managers and the limited geographical area. Social implications The social implications of this study could be to clearly identify that interpersonal conflict may be under reported in the construction industry, and there is a possibility that it is being misclassified as other workplace behaviours such as bullying, harassment and workplace violence. If this is so, this could aid future researchers in addressing this challenging workplace behaviour. Originality/value The current consensus in the literature is that the three main causes of workplace stress are bullying, harassment and violence. However, the role and importance of interpersonal conflict as reported in this study, with the exception of North America and China, is not reflected in the wider health and safety research literature. In addition, interpersonal conflict and its reluctance to be reported is largely absent from construction safety research. The findings of this study may be explained if the workplace stress research community is currently misclassifying interpersonal conflict as a manifestation of bullying, harassment or violence. If this is the case, interpersonal conflict needs further research. This is to establish if this cause of construction-related workplace stress needs to be reconsidered as a standalone phenomenon in the wider family of challenging workplace behaviours.
{"title":"The role of interpersonal conflict as a cause of work-related stress in construction managers in Ireland","authors":"P. Bruce, V. Hrymak, Carol Bruce, Joseph Byrne","doi":"10.1108/ci-06-2023-0147","DOIUrl":"https://doi.org/10.1108/ci-06-2023-0147","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to provide evidence to support an emerging theory that interpersonal conflict is the primary cause of workplace stress among a self-selected sample of Irish construction managers.\u0000\u0000\u0000Design/methodology/approach\u0000Eighteen construction managers working in Ireland were recruited for this study. Using semi-structured interviews and interpretative phenomenological analysis as the research methodology, the causes of their workplace stress were investigated.\u0000\u0000\u0000Findings\u0000Participants reported that the principal cause of their workplace stress was high levels of interpersonal conflict between colleagues. The effects of this interpersonal conflict included avoidance behaviour, ill health, absences from the workplace and loss of productivity issues. Deadlines, penalty clauses, lack of appreciation, cliques, costs, communication, temporary contracts and delays were also reported stressors.\u0000\u0000\u0000Research limitations/implications\u0000A limitation of the study is the small sample of 18 construction managers and the limited geographical area.\u0000\u0000\u0000Social implications\u0000The social implications of this study could be to clearly identify that interpersonal conflict may be under reported in the construction industry, and there is a possibility that it is being misclassified as other workplace behaviours such as bullying, harassment and workplace violence. If this is so, this could aid future researchers in addressing this challenging workplace behaviour.\u0000\u0000\u0000Originality/value\u0000The current consensus in the literature is that the three main causes of workplace stress are bullying, harassment and violence. However, the role and importance of interpersonal conflict as reported in this study, with the exception of North America and China, is not reflected in the wider health and safety research literature. In addition, interpersonal conflict and its reluctance to be reported is largely absent from construction safety research. The findings of this study may be explained if the workplace stress research community is currently misclassifying interpersonal conflict as a manifestation of bullying, harassment or violence. If this is the case, interpersonal conflict needs further research. This is to establish if this cause of construction-related workplace stress needs to be reconsidered as a standalone phenomenon in the wider family of challenging workplace behaviours.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"16 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141639989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Mohy, H. Bassioni, El-Badr O. Elgendi, Tarek M. Hassan
Purpose The purpose of this study is to investigate the potential of using computer vision and deep learning (DL) techniques for improving safety on construction sites. It provides an overview of the current state of research in the field of construction site safety (CSS) management using these technologies. Specifically, the study focuses on identifying hazards and monitoring the usage of personal protective equipment (PPE) on construction sites. The findings highlight the potential of computer vision and DL to enhance safety management in the construction industry. Design/methodology/approach The study involves a scientometric analysis of the current direction for using computer vision and DL for CSS management. The analysis reviews relevant studies, their methods, results and limitations, providing insights into the state of research in this area. Findings The study finds that computer vision and DL techniques can be effective for enhancing safety management in the construction industry. The potential of these technologies is specifically highlighted for identifying hazards and monitoring PPE usage on construction sites. The findings suggest that the use of these technologies can significantly reduce accidents and injuries on construction sites. Originality/value This study provides valuable insights into the potential of computer vision and DL techniques for improving safety management in the construction industry. The findings can help construction companies adopt innovative technologies to reduce the number of accidents and injuries on construction sites. The study also identifies areas for future research in this field, highlighting the need for further investigation into the use of these technologies for CSS management.
{"title":"Innovations in safety management for construction sites: the role of deep learning and computer vision techniques","authors":"A. Mohy, H. Bassioni, El-Badr O. Elgendi, Tarek M. Hassan","doi":"10.1108/ci-04-2023-0062","DOIUrl":"https://doi.org/10.1108/ci-04-2023-0062","url":null,"abstract":"Purpose\u0000The purpose of this study is to investigate the potential of using computer vision and deep learning (DL) techniques for improving safety on construction sites. It provides an overview of the current state of research in the field of construction site safety (CSS) management using these technologies. Specifically, the study focuses on identifying hazards and monitoring the usage of personal protective equipment (PPE) on construction sites. The findings highlight the potential of computer vision and DL to enhance safety management in the construction industry.\u0000\u0000Design/methodology/approach\u0000The study involves a scientometric analysis of the current direction for using computer vision and DL for CSS management. The analysis reviews relevant studies, their methods, results and limitations, providing insights into the state of research in this area.\u0000\u0000Findings\u0000The study finds that computer vision and DL techniques can be effective for enhancing safety management in the construction industry. The potential of these technologies is specifically highlighted for identifying hazards and monitoring PPE usage on construction sites. The findings suggest that the use of these technologies can significantly reduce accidents and injuries on construction sites.\u0000\u0000Originality/value\u0000This study provides valuable insights into the potential of computer vision and DL techniques for improving safety management in the construction industry. The findings can help construction companies adopt innovative technologies to reduce the number of accidents and injuries on construction sites. The study also identifies areas for future research in this field, highlighting the need for further investigation into the use of these technologies for CSS management.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"87 7","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141643022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose To help decision-makers choose appropriate infrastructure project delivery systems (IPDS) and keep up with the construction industry’s rapid growth, this study aims to develop a goal optimization technique.This looks into team integration, large production and optimum sustainability. The suggested approach for meeting several infrastructure project objectives is flexible and expandable. This research overcomes the significant discrepancy between the construction industry’s progress and the rate at which project delivery methods evolve. Design/methodology/approach This study examined pertinent literature to choose an appropriate project delivery method and gave information on several elements that affect that decision. After optimization using a genetic algorithm (GA), a Pareto front of solutions has been found. The three construction goals of sustainability, mass production and team integration are all met by the chosen best solution. The four most popular possibilities for studying the suggested approach are five primary categories, each of which has 22 variables, and the weight of each variable was established using Simo’s procedure. This is optimized, demonstrating the accuracy of the optimization model. Findings Sustainability, mass production and team integration are the major goals of selecting the finest IPDS. The Pareto-optimal solutions discovered through analysis demonstrated that the created GA is reliable and generates solid outcomes. In fact, it enables decisions that were based on a single criterion to be overturned. The process has therefore demonstrated its efficacy in identifying the ideal answer. First integrated project delivery (IPD), second design-build (DB), third design-bid-build (DBB) and last construction manager at risk (CMR) are the best options. The weight of the aims function has found these rankings to be satisfactory. Practical implications The findings demonstrate that the suggested strategy can lead to optimization, providing the government with a wide range of options for attaining certain project objectives. The ability of this study to evaluate the combined effects of three objectives in choosing the best IPDS, the production of optimal selection solutions (IPDS), which can help with better decision-making when many objectives are present, and the flexibility and extendibility of the suggested approach for achieving priorities in infrastructure projects are what make it unique. This approach was able to select IPDS to meet developments in the construction project. Originality/value To confirm the validity of the GA, the factor of error was calculated, which is equal to 1.7599e-08.
目的 为帮助决策者选择合适的基础设施项目交付系统（IPDS）并跟上建筑业的快速发展，本研究旨在开发一种目标优化技术。为实现多个基础设施项目目标而建议的方法具有灵活性和可扩展性。本研究克服了建筑行业的进步与项目交付方法发展速度之间的巨大差异。本研究审查了相关文献，以选择合适的项目交付方法，并提供了影响该决策的几个要素的信息。在使用遗传算法（GA）进行优化后，找到了解决方案的帕累托前沿。所选的最佳解决方案可满足可持续性、大规模生产和团队整合这三个施工目标。研究建议方法最受欢迎的四种可能性是五个主要类别，每个类别有 22 个变量，每个变量的权重是用西莫程序确定的。结果可持续性、大规模生产和团队整合是选择最优秀 IPDS 的主要目标。通过分析发现的帕累托最优解表明，所创建的 GA 是可靠的，并能产生可靠的结果。事实上，它可以推翻基于单一标准的决策。因此，这一过程证明了其在确定理想答案方面的功效。第一种是综合项目交付（IPD），第二种是设计-建造（DB），第三种是设计-招标-建造（DBB），最后一种是施工经理承担风险（CMR）。研究结果表明，所建议的策略可以实现优化，为政府实现某些项目目标提供多种选择。本研究能够在选择最佳 IPDS 时评估三个目标的综合影响，产生最佳选择方案（IPDS），这有助于在存在多个目标时做出更好的决策，以及所建议的实现基础设施项目优先级的方法的灵活性和可扩展性，这些都是本研究的独特之处。这种方法能够选择 IPDS，以满足建设项目的发展需要。原创性/价值为了证实 GA 的有效性，计算了误差系数，误差系数等于 1.7599e-08。
{"title":"Innovative strategic multicriteria decision-making selection model of infrastructures projects delivery systems using multiobjective optimization, case of Egypt","authors":"Ahmed Nouh Meshref, E. Elkasaby, Omnia Wageh","doi":"10.1108/ci-11-2022-0301","DOIUrl":"https://doi.org/10.1108/ci-11-2022-0301","url":null,"abstract":"Purpose\u0000To help decision-makers choose appropriate infrastructure project delivery systems (IPDS) and keep up with the construction industry’s rapid growth, this study aims to develop a goal optimization technique.This looks into team integration, large production and optimum sustainability. The suggested approach for meeting several infrastructure project objectives is flexible and expandable. This research overcomes the significant discrepancy between the construction industry’s progress and the rate at which project delivery methods evolve.\u0000\u0000Design/methodology/approach\u0000This study examined pertinent literature to choose an appropriate project delivery method and gave information on several elements that affect that decision. After optimization using a genetic algorithm (GA), a Pareto front of solutions has been found. The three construction goals of sustainability, mass production and team integration are all met by the chosen best solution. The four most popular possibilities for studying the suggested approach are five primary categories, each of which has 22 variables, and the weight of each variable was established using Simo’s procedure. This is optimized, demonstrating the accuracy of the optimization model.\u0000\u0000Findings\u0000Sustainability, mass production and team integration are the major goals of selecting the finest IPDS. The Pareto-optimal solutions discovered through analysis demonstrated that the created GA is reliable and generates solid outcomes. In fact, it enables decisions that were based on a single criterion to be overturned. The process has therefore demonstrated its efficacy in identifying the ideal answer. First integrated project delivery (IPD), second design-build (DB), third design-bid-build (DBB) and last construction manager at risk (CMR) are the best options. The weight of the aims function has found these rankings to be satisfactory.\u0000\u0000Practical implications\u0000The findings demonstrate that the suggested strategy can lead to optimization, providing the government with a wide range of options for attaining certain project objectives. The ability of this study to evaluate the combined effects of three objectives in choosing the best IPDS, the production of optimal selection solutions (IPDS), which can help with better decision-making when many objectives are present, and the flexibility and extendibility of the suggested approach for achieving priorities in infrastructure projects are what make it unique. This approach was able to select IPDS to meet developments in the construction project.\u0000\u0000Originality/value\u0000To confirm the validity of the GA, the factor of error was calculated, which is equal to 1.7599e-08.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"110 20","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141657557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This paper aims to clarify the efficient process of the machine learning algorithms implemented in the ready-mix concrete (RMC) onsite. It proposes innovative machine learning algorithms in terms of preciseness and computation time for the RMC strength prediction. Design/methodology/approach This paper presents an investigation of five different machine learning algorithms, namely, multilinear regression, support vector regression, k-nearest neighbors, extreme gradient boosting (XGBOOST) and deep neural network (DNN), that can be used to predict the 28- and 56-day compressive strengths of nine mix designs and four mixing conditions. Two algorithms were designated for fitting the actual and predicted 28- and 56-day compressive strength data. Moreover, the 28-day compressive strength data were implemented to predict 56-day compressive strength. Findings The efficacy of the compressive strength data was predicted by DNN and XGBOOST algorithms. The computation time of the XGBOOST algorithm was apparently faster than the DNN, offering it to be the most suitable strength prediction tool for RMC. Research limitations/implications Since none has been practically adopted the machine learning for strength prediction for RMC, the scope of this work focuses on the commercially available algorithms. The adoption of the modified methods to fit with the RMC data should be determined thereafter. Practical implications The selected algorithms offer efficient prediction for promoting sustainability to the RMC industries. The standard adopting such algorithms can be established, excluding the traditional labor testing. The manufacturers can implement research to introduce machine learning in the quality controcl process of their plants. Originality/value Regarding literature review, machine learning has been assessed regarding the laboratory concrete mix design and concrete performance. A study conducted based on the on-site production and prolonged mixing parameters is lacking.
{"title":"Efficient machine learning for strength prediction of ready-mix concrete production (prolonged mixing)","authors":"Wiput Tuvayanond, V. Kamchoom, L. Prasittisopin","doi":"10.1108/ci-09-2023-0240","DOIUrl":"https://doi.org/10.1108/ci-09-2023-0240","url":null,"abstract":"\u0000Purpose\u0000This paper aims to clarify the efficient process of the machine learning algorithms implemented in the ready-mix concrete (RMC) onsite. It proposes innovative machine learning algorithms in terms of preciseness and computation time for the RMC strength prediction.\u0000\u0000\u0000Design/methodology/approach\u0000This paper presents an investigation of five different machine learning algorithms, namely, multilinear regression, support vector regression, k-nearest neighbors, extreme gradient boosting (XGBOOST) and deep neural network (DNN), that can be used to predict the 28- and 56-day compressive strengths of nine mix designs and four mixing conditions. Two algorithms were designated for fitting the actual and predicted 28- and 56-day compressive strength data. Moreover, the 28-day compressive strength data were implemented to predict 56-day compressive strength.\u0000\u0000\u0000Findings\u0000The efficacy of the compressive strength data was predicted by DNN and XGBOOST algorithms. The computation time of the XGBOOST algorithm was apparently faster than the DNN, offering it to be the most suitable strength prediction tool for RMC.\u0000\u0000\u0000Research limitations/implications\u0000Since none has been practically adopted the machine learning for strength prediction for RMC, the scope of this work focuses on the commercially available algorithms. The adoption of the modified methods to fit with the RMC data should be determined thereafter.\u0000\u0000\u0000Practical implications\u0000The selected algorithms offer efficient prediction for promoting sustainability to the RMC industries. The standard adopting such algorithms can be established, excluding the traditional labor testing. The manufacturers can implement research to introduce machine learning in the quality controcl process of their plants.\u0000\u0000\u0000Originality/value\u0000Regarding literature review, machine learning has been assessed regarding the laboratory concrete mix design and concrete performance. A study conducted based on the on-site production and prolonged mixing parameters is lacking.\u0000","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"27 18","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141662528","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Purpose This paper aims to develop and validate a strategy for reducing construction waste (CW) generated during the design process (DP) in architectural design firms (ADFs) in Egypt. Design/methodology/approach Qualitative and quantitative research methodology was designed to accomplish four objectives. The literature review investigated DP, CW, waste management (WM) and WM strategies (WMS). Three case studies were analysed to investigate the role of WMS towards reducing CW during DP. A survey questionnaire was conducted with a representative sample of ADFs in Egypt to assess their perception and application of WMS during DP. Lastly, a strategy was developed and validated to reduce CW generated during DP. Findings Through literature review, the research identified the highest 40 causes of CW during the DP and classified them into 13 categories. Despite early promotion of WMS to reduce CW at its source, Egypt and other countries with similar construction market characteristics lack laws and regulations to address CW during the DP, with current codes primarily focusing on post-occurrence issues. In addition, analysis of three case studies showed that CW was reduced by adopting WMS during the DP. Findings of data analysis revealed that ADFs have an average knowledge of WMS and a low awareness of Egyptian laws and WMS during DP. “Prefabrication” was the highest-ranked strategy for CW reduction during DP. Several challenges hamper the implementation of WMS. The “preparation and briefing” was ranked the most common design stage where CW causes occur, while “waiting” was ranked the most common form of CW. These findings informed the research outcome and helped in the development of the proposed strategy. Research limitations/implications The proposed strategy was developed taking into account the results of the survey questionnaire which was conducted in ADFs in Egypt where the authors reside, and such a strategy is needed. However, it could be applied in other countries that share the same characteristics of the architectural DP as well as the causes of CW and WMS implementation challenges. Practical implications This research presents a practical strategy to reduce CW generated during the DP. It was based on the findings of literature review, case studies and survey questionnaire. The strategy was explained in a workable way to include the required activities; tools and techniques; involved personnel and needed resources. The strategy was validated by a representative sample of ADFs in Egypt to ensure its practicability and viability for implementation towards developing a sustainable built environment. The practical application of the strategy will have long-term and short-term benefits. The long-term benefits include improving the social, economic and environmental aspects of sustainability during the design and construction phases in Egypt. In the short term, application of the strategy will improve the cooperation between design and construct
{"title":"A strategy for reducing construction waste generated during the design process in architectural design firms in Egypt","authors":"A. Othman, Aya Said Muawad Saad","doi":"10.1108/ci-08-2023-0202","DOIUrl":"https://doi.org/10.1108/ci-08-2023-0202","url":null,"abstract":"Purpose\u0000This paper aims to develop and validate a strategy for reducing construction waste (CW) generated during the design process (DP) in architectural design firms (ADFs) in Egypt.\u0000\u0000Design/methodology/approach\u0000Qualitative and quantitative research methodology was designed to accomplish four objectives. The literature review investigated DP, CW, waste management (WM) and WM strategies (WMS). Three case studies were analysed to investigate the role of WMS towards reducing CW during DP. A survey questionnaire was conducted with a representative sample of ADFs in Egypt to assess their perception and application of WMS during DP. Lastly, a strategy was developed and validated to reduce CW generated during DP.\u0000\u0000Findings\u0000Through literature review, the research identified the highest 40 causes of CW during the DP and classified them into 13 categories. Despite early promotion of WMS to reduce CW at its source, Egypt and other countries with similar construction market characteristics lack laws and regulations to address CW during the DP, with current codes primarily focusing on post-occurrence issues. In addition, analysis of three case studies showed that CW was reduced by adopting WMS during the DP. Findings of data analysis revealed that ADFs have an average knowledge of WMS and a low awareness of Egyptian laws and WMS during DP. “Prefabrication” was the highest-ranked strategy for CW reduction during DP. Several challenges hamper the implementation of WMS. The “preparation and briefing” was ranked the most common design stage where CW causes occur, while “waiting” was ranked the most common form of CW. These findings informed the research outcome and helped in the development of the proposed strategy.\u0000\u0000Research limitations/implications\u0000The proposed strategy was developed taking into account the results of the survey questionnaire which was conducted in ADFs in Egypt where the authors reside, and such a strategy is needed. However, it could be applied in other countries that share the same characteristics of the architectural DP as well as the causes of CW and WMS implementation challenges.\u0000\u0000Practical implications\u0000This research presents a practical strategy to reduce CW generated during the DP. It was based on the findings of literature review, case studies and survey questionnaire. The strategy was explained in a workable way to include the required activities; tools and techniques; involved personnel and needed resources. The strategy was validated by a representative sample of ADFs in Egypt to ensure its practicability and viability for implementation towards developing a sustainable built environment. The practical application of the strategy will have long-term and short-term benefits. The long-term benefits include improving the social, economic and environmental aspects of sustainability during the design and construction phases in Egypt. In the short term, application of the strategy will improve the cooperation between design and construct","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":"101 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141666153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. K. Buniya, I. Y. Wuni, Omar Sedeeq Yousif, M.K.S. Al-Mhdawi
Purpose Safety program initiatives in the construction industry remain below the desired level, especially in developing countries, and the reasons for low adoption are not well established. This study aims to investigate and quantify the impact levels of the key barriers to safety program initiatives in the construction industry in Iraq. Design/methodology/approach The study used a multi-method research design to assess the barriers to safety program initiatives in the construction industry in Iraq. Initially, a comprehensive literature review was conducted to identify potential barriers. Following this, semi-structured interviews with construction professionals were conducted to gather in-depth insights. Thematic analysis was then applied to analyze the results of these interviews. Subsequently, a questionnaire survey was developed based on the findings from the literature review and interviews to quantitatively measure the impact of the identified barriers among a broader group of construction professionals. Finally, a fuzzy synthetic evaluation (FSE) was used to assess the overall impact of these barriers comprehensively. Findings The results showed that the top three key barriers to the implementation of construction safety programs in Iraq include tight project schedules, inadequate commitment to safety and the lack of safety rules and policies. A FSE indicated that each group of barriers, including unsupportive industry norms, poor safety awareness, an unconducive work climate and poor governance, significantly hinders safety program implementation in the Iraqi construction industry. Research limitations/implications The study was conducted in the construction industry of Iraq, specifically focusing on Baghdad, Anbar, Basra and Erbil governorates, as these cities are prominent within the country. In addition, this research exclusively captured the perspectives of construction consultants, contractors and clients. Practical implications The findings suggest that improving supportive and safety-aware industry norms, increasing safety awareness, generating a safe work climate and culture and improving safety governance can significantly influence the widespread adoption of safety programs in the construction industry. To the best of the authors’ knowledge, this constitutes the first study to quantify the impact levels of barriers to construction safety program initiatives in developing countries. It provides additional insight to promote a safer construction industry. Moreover, the findings can notably be used by construction practitioners and policymakers to develop and successfully implement safety programs in construction. Originality/value This study aims to develop an assessment model for identifying the primary barriers to safety program initiatives within the construction industry of developing countries, exploring deeper into the barriers that impede the adoption of safety programs in construction, and providing valuable insights
{"title":"Quantifying the impact index of key barriers to safety program initiatives in the Iraqi construction industry","authors":"M. K. Buniya, I. Y. Wuni, Omar Sedeeq Yousif, M.K.S. Al-Mhdawi","doi":"10.1108/ci-08-2023-0185","DOIUrl":"https://doi.org/10.1108/ci-08-2023-0185","url":null,"abstract":"Purpose\u0000Safety program initiatives in the construction industry remain below the desired level, especially in developing countries, and the reasons for low adoption are not well established. This study aims to investigate and quantify the impact levels of the key barriers to safety program initiatives in the construction industry in Iraq.\u0000\u0000Design/methodology/approach\u0000The study used a multi-method research design to assess the barriers to safety program initiatives in the construction industry in Iraq. Initially, a comprehensive literature review was conducted to identify potential barriers. Following this, semi-structured interviews with construction professionals were conducted to gather in-depth insights. Thematic analysis was then applied to analyze the results of these interviews. Subsequently, a questionnaire survey was developed based on the findings from the literature review and interviews to quantitatively measure the impact of the identified barriers among a broader group of construction professionals. Finally, a fuzzy synthetic evaluation (FSE) was used to assess the overall impact of these barriers comprehensively.\u0000\u0000Findings\u0000The results showed that the top three key barriers to the implementation of construction safety programs in Iraq include tight project schedules, inadequate commitment to safety and the lack of safety rules and policies. A FSE indicated that each group of barriers, including unsupportive industry norms, poor safety awareness, an unconducive work climate and poor governance, significantly hinders safety program implementation in the Iraqi construction industry.\u0000\u0000Research limitations/implications\u0000The study was conducted in the construction industry of Iraq, specifically focusing on Baghdad, Anbar, Basra and Erbil governorates, as these cities are prominent within the country. In addition, this research exclusively captured the perspectives of construction consultants, contractors and clients.\u0000\u0000Practical implications\u0000The findings suggest that improving supportive and safety-aware industry norms, increasing safety awareness, generating a safe work climate and culture and improving safety governance can significantly influence the widespread adoption of safety programs in the construction industry. To the best of the authors’ knowledge, this constitutes the first study to quantify the impact levels of barriers to construction safety program initiatives in developing countries. It provides additional insight to promote a safer construction industry. Moreover, the findings can notably be used by construction practitioners and policymakers to develop and successfully implement safety programs in construction.\u0000\u0000Originality/value\u0000This study aims to develop an assessment model for identifying the primary barriers to safety program initiatives within the construction industry of developing countries, exploring deeper into the barriers that impede the adoption of safety programs in construction, and providing valuable insights","PeriodicalId":504034,"journal":{"name":"Construction Innovation","volume":" 779","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141669233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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