Ivana Kuzmanovska, V. Bunster, Angela Solarte, Duncan W. Maxwell
As the construction industry shifts towards more systematised methods of designing and delivering buildings, data-informed approaches towards product development, evaluation, and selection promise to enable improved performance (structural, acoustic, fire, environmental), material efficiencies, and ease of production while maintaining the highest quality end result. This paper presents the outcomes of an applied research project that takes the first steps towards the development of a framework to guide holistic evaluation of product performance and future design efforts. Key outcomes of the research include: a systems matrix approach to (1) map the current product landscape, (2) select representative systems for benchmarking, and (3) to communicate relative performance; and a decision matrix used to illustrate the effect of varying priorities when selecting products for use in a building project.
{"title":"An holistic approach to product evaluation and selection in industrialised building: Benchmarking of long span, low carbon floor systems","authors":"Ivana Kuzmanovska, V. Bunster, Angela Solarte, Duncan W. Maxwell","doi":"10.29173/mocs284","DOIUrl":"https://doi.org/10.29173/mocs284","url":null,"abstract":"As the construction industry shifts towards more systematised methods of designing and delivering buildings, data-informed approaches towards product development, evaluation, and selection promise to enable improved performance (structural, acoustic, fire, environmental), material efficiencies, and ease of production while maintaining the highest quality end result. This paper presents the outcomes of an applied research project that takes the first steps towards the development of a framework to guide holistic evaluation of product performance and future design efforts. Key outcomes of the research include: a systems matrix approach to (1) map the current product landscape, (2) select representative systems for benchmarking, and (3) to communicate relative performance; and a decision matrix used to illustrate the effect of varying priorities when selecting products for use in a building project.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115003243","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}
The Architecture Engineering and Construction (AEC) industry has been criticized for low productivity, lack of innovations, damage to the environment, lack of improvement. Several innovations have emerged to address these problems and, in this paper, the relationship between operations management (OM) and offsite construction will be discussed. The purpose of this paper is to present a proposal for the application of OM concepts in offsite construction. A research method based on the assumption that construction processes can be analyzed as production systems will be used. The resulting proposal consists of the exploration of potential applications, benefits, and barriers of OM in offsite construction based on the current experience of OM in manufacturing processes. A thorough discussion about the implications of this proposal in a project and supply chain levels are presented. The most important conclusions were related to the need for applying OM concepts in offsite construction projects and the need for more research in this direction to prove the proposed proposal.
{"title":"Operations management concepts applied to offsite construction","authors":"Guillermo Prado Lujan","doi":"10.29173/mocs286","DOIUrl":"https://doi.org/10.29173/mocs286","url":null,"abstract":"The Architecture Engineering and Construction (AEC) industry has been criticized for low productivity, lack of innovations, damage to the environment, lack of improvement. Several innovations have emerged to address these problems and, in this paper, the relationship between operations management (OM) and offsite construction will be discussed. The purpose of this paper is to present a proposal for the application of OM concepts in offsite construction. A research method based on the assumption that construction processes can be analyzed as production systems will be used. The resulting proposal consists of the exploration of potential applications, benefits, and barriers of OM in offsite construction based on the current experience of OM in manufacturing processes. A thorough discussion about the implications of this proposal in a project and supply chain levels are presented. The most important conclusions were related to the need for applying OM concepts in offsite construction projects and the need for more research in this direction to prove the proposed proposal.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030455","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}
Offsite Construction (OSC) continues to gain popularity for faster, safer, cheaper and more sustainable construction project delivery. An improved quality performance is a chief selling point in the advocacy for the widespread adoption of OSC. Paradoxically, quality issues that arise in OSC projects can be extremely costly. However, quality management (QM) is underexplored in the growing OSC literature. This paper critically reviews the QM of OSC literature to uncover the state-of-the-art and proffer recommendations for future research. 38 articles, selected from Scopus and Web of Science, published from 2009 to 2021 and distributed across 20 journals, were selected through a systematic literature review supplemented by a snowball search. An overview of QM of OSC research is provided based on the yearly distribution of articles, country/territory of affiliation, journal sources, OSC types, project life cycle stages and technologies utilised. The findings revealed a growing interest in the sub-domain. The articles were categorised under six topics: post-production quality assessment, rework and defect management, quality risk management, process improvement, requirements management and quality performance factors. This paper also proposes future research directions based on the prevailing knowledge gaps.
由于更快、更安全、更便宜和更可持续的建设项目交付，场外施工(OSC)继续受到欢迎。改进的质量性能是倡导广泛采用OSC的主要卖点。矛盾的是，OSC项目中出现的质量问题可能代价高昂。然而，质量管理(QM)在不断增长的OSC文献中尚未得到充分的探讨。本文批判性地回顾了OSC文献的质量管理，以揭示最新的研究成果，并为未来的研究提供建议。通过系统的文献综述和滚雪球搜索，从Scopus和Web of Science中选择了2009年至2021年发表的38篇文章，分布在20个期刊上。根据文章的年度分布、所属国家/地区、期刊来源、OSC类型、项目生命周期阶段和所使用的技术，提供了OSC研究质量管理的概述。研究结果显示，人们对子域的兴趣日益浓厚。这些文章分为六个主题:后期质量评估、返工和缺陷管理、质量风险管理、过程改进、需求管理和质量表现因素。本文还针对目前存在的知识缺口提出了未来的研究方向。
{"title":"A systematic review of quality management of offsite construction","authors":"Seth Yeboah Botchway, W. Pan","doi":"10.29173/mocs282","DOIUrl":"https://doi.org/10.29173/mocs282","url":null,"abstract":"Offsite Construction (OSC) continues to gain popularity for faster, safer, cheaper and more sustainable construction project delivery. An improved quality performance is a chief selling point in the advocacy for the widespread adoption of OSC. Paradoxically, quality issues that arise in OSC projects can be extremely costly. However, quality management (QM) is underexplored in the growing OSC literature. This paper critically reviews the QM of OSC literature to uncover the state-of-the-art and proffer recommendations for future research. 38 articles, selected from Scopus and Web of Science, published from 2009 to 2021 and distributed across 20 journals, were selected through a systematic literature review supplemented by a snowball search. An overview of QM of OSC research is provided based on the yearly distribution of articles, country/territory of affiliation, journal sources, OSC types, project life cycle stages and technologies utilised. The findings revealed a growing interest in the sub-domain. The articles were categorised under six topics: post-production quality assessment, rework and defect management, quality risk management, process improvement, requirements management and quality performance factors. This paper also proposes future research directions based on the prevailing knowledge gaps.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121885841","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}
Slim Rebai, Olfa Hamdi, Samer BuHamdan, Z. Lafhaj, Pascal Yim
The demand on affording homes for the growing population in the world is noticeably increasing. This demand creates a high pressure to find solutions that can help in constructing quick and affordable shelters. In efforts to improve productivity, performance, and constructability of residential buildings, the direction toward modularity in construction is increasing. In order to gain the best benefits of modular systems in construction, these systems should be associated with project management practices. Among these practices, Advanced Work Packaging (AWP) is a construction driven planning tool that proved its value in improve the delivery and execution effectiveness in the oil and gas fields and currently is witnessing greater consideration in the construction industry. The current study aims to link the two concepts through proposing a framework to integrate AWP in residential modular construction. This article is also presenting an example about the possible way for this integration. The article also discusses the opportunity to improve productivity and installation costs due to the implementation of the proposed framework.
{"title":"AWP for residential buildings to modular construction: A proposed framework","authors":"Slim Rebai, Olfa Hamdi, Samer BuHamdan, Z. Lafhaj, Pascal Yim","doi":"10.29173/mocs264","DOIUrl":"https://doi.org/10.29173/mocs264","url":null,"abstract":"The demand on affording homes for the growing population in the world is noticeably increasing. This demand creates a high pressure to find solutions that can help in constructing quick and affordable shelters. In efforts to improve productivity, performance, and constructability of residential buildings, the direction toward modularity in construction is increasing. In order to gain the best benefits of modular systems in construction, these systems should be associated with project management practices. Among these practices, Advanced Work Packaging (AWP) is a construction driven planning tool that proved its value in improve the delivery and execution effectiveness in the oil and gas fields and currently is witnessing greater consideration in the construction industry. The current study aims to link the two concepts through proposing a framework to integrate AWP in residential modular construction. This article is also presenting an example about the possible way for this integration. The article also discusses the opportunity to improve productivity and installation costs due to the implementation of the proposed framework.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127884294","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. Ikuabe, C. Aigbavboa, O. Akinradewo, S. Adekunle, Adetola Adeniyi
As the designs of construction projects become more complex, there is a corresponding increase in the difficulty encountered in project monitoring. Hence, it is advisable to integrate innovative technologies such as the use of an unmanned aerial vehicle (UAV) to abate some of the problems encountered in the delivery of construction projects. This paper aims to evaluate the barriers to the usage of UAVs in construction project delivery in South Africa. Adopting a quantitative method for the study, data was collected with the aid of a questionnaire from construction professionals in Gauteng province, South Africa. Findings from the study indicate that the most significant factors hindering the deployment of drones in the South African construction industry are lack of training by institutions and lack of investment in new technologies by organisations. Conclusively, the paper recommends measures that would propel the espousal of drone technologies for effective and efficient construction project delivery in the South African construction industry.
{"title":"Hindering factors to the utilisation of UAVs for construction projects in South Africa","authors":"M. Ikuabe, C. Aigbavboa, O. Akinradewo, S. Adekunle, Adetola Adeniyi","doi":"10.29173/mocs277","DOIUrl":"https://doi.org/10.29173/mocs277","url":null,"abstract":"As the designs of construction projects become more complex, there is a corresponding increase in the difficulty encountered in project monitoring. Hence, it is advisable to integrate innovative technologies such as the use of an unmanned aerial vehicle (UAV) to abate some of the problems encountered in the delivery of construction projects. This paper aims to evaluate the barriers to the usage of UAVs in construction project delivery in South Africa. Adopting a quantitative method for the study, data was collected with the aid of a questionnaire from construction professionals in Gauteng province, South Africa. Findings from the study indicate that the most significant factors hindering the deployment of drones in the South African construction industry are lack of training by institutions and lack of investment in new technologies by organisations. Conclusively, the paper recommends measures that would propel the espousal of drone technologies for effective and efficient construction project delivery in the South African construction industry.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115748772","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}
Robotics is a fast-growing technology in the construction industry, particularly in off-site construction and Modern Methods of Construction (MMC). Recent advancements in technologies have made robots more intelligent and capable of autonomously undertaking tasks. Navigation of the robots in the built environment requires analysis of robots’ sensor data, which is computationally sophisticated and time consuming. Modeling the layout of the built environment using BIM and simulation can reduce the computational burden of the sensor data analysis. This research aims to develop a method to transfer the geometry data from BIM models to virtual robots in the simulation environment, and provide the robots with priori knowledge about the built environment. This method is simple-to-use and can enhance robot navigation in terms of accuracy and efficiency. The method was implemented in a case study to demonstrate its usefulness and practicality.
{"title":"Layout modelling of the built environment for autonomous mobile robots using Building Information Modelling (BIM) and simulation","authors":"Gareth Byers, SeyedReza RazaviAlavi","doi":"10.29173/mocs283","DOIUrl":"https://doi.org/10.29173/mocs283","url":null,"abstract":"Robotics is a fast-growing technology in the construction industry, particularly in off-site construction and Modern Methods of Construction (MMC). Recent advancements in technologies have made robots more intelligent and capable of autonomously undertaking tasks. Navigation of the robots in the built environment requires analysis of robots’ sensor data, which is computationally sophisticated and time consuming. Modeling the layout of the built environment using BIM and simulation can reduce the computational burden of the sensor data analysis. This research aims to develop a method to transfer the geometry data from BIM models to virtual robots in the simulation environment, and provide the robots with priori knowledge about the built environment. This method is simple-to-use and can enhance robot navigation in terms of accuracy and efficiency. The method was implemented in a case study to demonstrate its usefulness and practicality.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114973622","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}
C. Cruz-Noguez, M. Elsayed, Alan Alonso, Rafael Gonzalez, S. Adeeb
Masonry is one of the oldest materials that humans use for construction. It is durable, as seen on ancient structures built thousands of years ago, yet still in excellent shape. Recently, masonry walls have struggled to be competitive among other construction materials such as precast concrete, tilt-up walls, timber, etc. This is mainly due to construction practices and the lack of a standardized modular masonry system that prevents offsite construction. In this paper, new construction methods for concrete masonry walls are proposed. These methods are based on building partially grouted masonry panels that can be built onsite or offsite, then transported and assembled on the site. The methods commonly use a restrained unbonded post-tensioned (UPT) threaded bar to join panels. A full-scale experimental program campaign at the University of Alberta (UOA) is currently undergoing to test the proposed methods. Numerical models were developed before the experimental investigation to assess the behaviour of such techniques under out-of-plane loading. Bare joints, connecting panels reinforcement, and grouting joints are the three types of panel connections proposed here. The influences of the magnitude of prestressing and lateral restraints stiffness are also studied. The results show that the proposed approaches are comparable to traditionally constructed walls with improved serviceability. Also, because of the relative ease of construction and improved post-cracking behaviour, connecting panel reinforcement is the preferred method. Whereas the increasing level of prestressing enhances service conditions but leads to premature failure. Also, lateral restraints with high stiffness, such as grout or steel, are essential to enhance post-cracking behaviour.
{"title":"Novel panel system for concrete masonry walls","authors":"C. Cruz-Noguez, M. Elsayed, Alan Alonso, Rafael Gonzalez, S. Adeeb","doi":"10.29173/mocs262","DOIUrl":"https://doi.org/10.29173/mocs262","url":null,"abstract":"Masonry is one of the oldest materials that humans use for construction. It is durable, as seen on ancient structures built thousands of years ago, yet still in excellent shape. Recently, masonry walls have struggled to be competitive among other construction materials such as precast concrete, tilt-up walls, timber, etc. This is mainly due to construction practices and the lack of a standardized modular masonry system that prevents offsite construction. In this paper, new construction methods for concrete masonry walls are proposed. These methods are based on building partially grouted masonry panels that can be built onsite or offsite, then transported and assembled on the site. The methods commonly use a restrained unbonded post-tensioned (UPT) threaded bar to join panels. A full-scale experimental program campaign at the University of Alberta (UOA) is currently undergoing to test the proposed methods. Numerical models were developed before the experimental investigation to assess the behaviour of such techniques under out-of-plane loading. Bare joints, connecting panels reinforcement, and grouting joints are the three types of panel connections proposed here. The influences of the magnitude of prestressing and lateral restraints stiffness are also studied. The results show that the proposed approaches are comparable to traditionally constructed walls with improved serviceability. Also, because of the relative ease of construction and improved post-cracking behaviour, connecting panel reinforcement is the preferred method. Whereas the increasing level of prestressing enhances service conditions but leads to premature failure. Also, lateral restraints with high stiffness, such as grout or steel, are essential to enhance post-cracking behaviour.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128073520","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}
Abdulaziz Alattas, Alaedin Suliman, Kamyab Aghajamali, Z. Lei
Industrial steel fabrication encounters numerous difficulties in having efficient steel production. These difficulties are usually caused by the presence of bottlenecks that are not easily identified using traditional methods. Value Stream Map (VSM) is a lean tool that can be used to identify process inefficiencies and plan to minimize non-value-added activities. However, traditional VSM is not designed to be applied in a non-repetitive work environment especially when workers are highly involved in the process such as in manual steel fabrication processes. Therefore, the typical VSM requires modification to achieve the desired outcomes. Hence, the goal of the current study is to produce a current state VSM and integrate it with a simulation model to plan for an optimized future state. The scope of this study is limited to the fitting and welding workstations since they represent the typical manual processes in the steel fabrication industry. The outcomes of this study will provide the ability to identify waste and improvement opportunities. Also, it will allow for precise quantification of the improvement gain and time savings. Decision-makers in the steel industry will have accurate information about the processes in fabrication plants. Also, they will be able to make evidence-based decisions that will ensure reduced waste and cost for steel operations.
{"title":"Simulation-based value stream map for manual steel fabrication workstations","authors":"Abdulaziz Alattas, Alaedin Suliman, Kamyab Aghajamali, Z. Lei","doi":"10.29173/mocs272","DOIUrl":"https://doi.org/10.29173/mocs272","url":null,"abstract":"Industrial steel fabrication encounters numerous difficulties in having efficient steel production. These difficulties are usually caused by the presence of bottlenecks that are not easily identified using traditional methods. Value Stream Map (VSM) is a lean tool that can be used to identify process inefficiencies and plan to minimize non-value-added activities. However, traditional VSM is not designed to be applied in a non-repetitive work environment especially when workers are highly involved in the process such as in manual steel fabrication processes. Therefore, the typical VSM requires modification to achieve the desired outcomes. Hence, the goal of the current study is to produce a current state VSM and integrate it with a simulation model to plan for an optimized future state. The scope of this study is limited to the fitting and welding workstations since they represent the typical manual processes in the steel fabrication industry. The outcomes of this study will provide the ability to identify waste and improvement opportunities. Also, it will allow for precise quantification of the improvement gain and time savings. Decision-makers in the steel industry will have accurate information about the processes in fabrication plants. Also, they will be able to make evidence-based decisions that will ensure reduced waste and cost for steel operations.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"321 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133579525","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}
Kamyab Aghajamali, Alaeldin Suliman, Abdulaziz Alattas, Z. Lei
The construction industry's lack of materials, resources, and financial assets streamlined a shift toward using digital lean principles to obtain precise management over the limited resources. Steel fabrication companies rely heavily upon the enormous equipment to get promising results. However, implementing lean principles in the fabrication process is not straightforward due to the non-repetitive nature of steel construction products. Hence, the time-based modeling for such a process lacks accuracy and reliability, especially for manual steel fabrication processes. Accordingly, the current study aims to achieve a practical and accurate estimation of fabrication time aspects. This study targets modeling manual steel fabrication processes (fitting and welding workstations) in terms of processing times (cycle time and value-added time). The proposed approach builds a machine learning (ML) model to estimate the identified processing time aspects. For performance assessment, the typical correlation analysis and linear regression (LR) approach was used as a benchmark to quantify the ML model's pros and cons in terms of practicality and accuracy. The required data source for this study is a steel fabrication industry partner. The results of this study show ML superiority in accuracy over LR processing time predictive models, particularly when predictive parameters increase ML presents a 13.2 % improvement in mean squared error compared to the LR predictive model. LR models need fewer data and are not computationally expensive like ML models, making them more practical. Additionally, the study introduces a precise and practical time estimation approach. Such an approach provides precious input for simulation models which support evidence-based decisions and benefits quantification of plans.
{"title":"Data-driven cycle time prediction of fitting and welding stations in steel fabrication","authors":"Kamyab Aghajamali, Alaeldin Suliman, Abdulaziz Alattas, Z. Lei","doi":"10.29173/mocs273","DOIUrl":"https://doi.org/10.29173/mocs273","url":null,"abstract":"The construction industry's lack of materials, resources, and financial assets streamlined a shift toward using digital lean principles to obtain precise management over the limited resources. Steel fabrication companies rely heavily upon the enormous equipment to get promising results. However, implementing lean principles in the fabrication process is not straightforward due to the non-repetitive nature of steel construction products. Hence, the time-based modeling for such a process lacks accuracy and reliability, especially for manual steel fabrication processes. Accordingly, the current study aims to achieve a practical and accurate estimation of fabrication time aspects. This study targets modeling manual steel fabrication processes (fitting and welding workstations) in terms of processing times (cycle time and value-added time). The proposed approach builds a machine learning (ML) model to estimate the identified processing time aspects. For performance assessment, the typical correlation analysis and linear regression (LR) approach was used as a benchmark to quantify the ML model's pros and cons in terms of practicality and accuracy. The required data source for this study is a steel fabrication industry partner. The results of this study show ML superiority in accuracy over LR processing time predictive models, particularly when predictive parameters increase ML presents a 13.2 % improvement in mean squared error compared to the LR predictive model. LR models need fewer data and are not computationally expensive like ML models, making them more practical. Additionally, the study introduces a precise and practical time estimation approach. Such an approach provides precious input for simulation models which support evidence-based decisions and benefits quantification of plans.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131012639","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}
Qiuling Yang, Q. Mei, Chao Fan, Meng Ma, Xinming Li
Modular construction sites are often reported as one of the most hazardous workplaces where the complex environments can lead to near misses and life-threatening collisions. To avoid contact collisions and provide a safe workplace, forecasting workers' trajectories on dynamic construction sites is demanding yet remains challenging. Existing approaches for trajectory prediction are mostly limited to only considering the objects moving information. In this paper, an environment-aware distance worker trajectory prediction model is designed to fully exploit the contextual information on construction sites. Incorporating the interactions among workers and distances between workers and static elements into the prediction model, the proposed approach offers a reliable prediction of worker positions. To further exploit the contextual cues, an environment-aware direction scheme taking directional information of the static elements into account is put forth. Extensive numerical tests on synthetic as well as modular construction datasets showcase the improved prediction performance of the proposed approaches in comparison to several state-of-the-art alternatives.
{"title":"Environment-aware worker trajectory prediction using surveillance camera on modular construction sites","authors":"Qiuling Yang, Q. Mei, Chao Fan, Meng Ma, Xinming Li","doi":"10.29173/mocs268","DOIUrl":"https://doi.org/10.29173/mocs268","url":null,"abstract":"Modular construction sites are often reported as one of the most hazardous workplaces where the complex environments can lead to near misses and life-threatening collisions. To avoid contact collisions and provide a safe workplace, forecasting workers' trajectories on dynamic construction sites is demanding yet remains challenging. Existing approaches for trajectory prediction are mostly limited to only considering the objects moving information. In this paper, an environment-aware distance worker trajectory prediction model is designed to fully exploit the contextual information on construction sites. Incorporating the interactions among workers and distances between workers and static elements into the prediction model, the proposed approach offers a reliable prediction of worker positions. To further exploit the contextual cues, an environment-aware direction scheme taking directional information of the static elements into account is put forth. Extensive numerical tests on synthetic as well as modular construction datasets showcase the improved prediction performance of the proposed approaches in comparison to several state-of-the-art alternatives.","PeriodicalId":422911,"journal":{"name":"Modular and Offsite Construction (MOC) Summit Proceedings","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124996003","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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