Modular and Offsite Construction (MOC) Summit Proceedings最新文献_第2页

An holistic approach to product evaluation and selection in industrialised building: Benchmarking of long span, low carbon floor systems 工业建筑中产品评估和选择的整体方法:大跨度、低碳地板系统的基准

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs284

Ivana Kuzmanovska, V. Bunster, Angela Solarte, Duncan W. Maxwell

引用次数: 0

Operations management concepts applied to offsite construction 运营管理理念应用于非现场施工

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs286

Guillermo Prado Lujan

引用次数: 0

A systematic review of quality management of offsite construction 非现场施工质量管理的系统回顾

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs282

Seth Yeboah Botchway, W. Pan

{"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}

引用次数: 0

AWP for residential buildings to modular construction: A proposed framework 住宅建筑向模块化结构的AWP:建议的框架

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs264

Slim Rebai, Olfa Hamdi, Samer BuHamdan, Z. Lafhaj, Pascal Yim

{"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}

引用次数: 3

Hindering factors to the utilisation of UAVs for construction projects in South Africa 阻碍无人机在南非建设项目中使用的因素

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs277

M. Ikuabe, C. Aigbavboa, O. Akinradewo, S. Adekunle, Adetola Adeniyi

引用次数: 3

Layout modelling of the built environment for autonomous mobile robots using Building Information Modelling (BIM) and simulation 利用建筑信息模型(BIM)和仿真技术对自主移动机器人的建筑环境进行布局建模

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs283

Gareth Byers, SeyedReza RazaviAlavi

引用次数: 0

Novel panel system for concrete masonry walls 混凝土砌筑墙的新型面板系统

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs262

C. Cruz-Noguez, M. Elsayed, Alan Alonso, Rafael Gonzalez, S. Adeeb

{"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}

引用次数: 0

Simulation-based value stream map for manual steel fabrication workstations 基于仿真的手工炼钢工作站价值流图

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs272

Abdulaziz  Alattas, Alaedin Suliman, Kamyab Aghajamali, Z. Lei

{"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}

引用次数: 0

Data-driven cycle time prediction of fitting and welding stations in steel fabrication 数据驱动的钢铁加工装配和焊接工位周期预测

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs273

Kamyab Aghajamali, Alaeldin Suliman, Abdulaziz  Alattas, Z. Lei

{"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}

引用次数: 0

Environment-aware worker trajectory prediction using surveillance camera on modular construction sites 基于模块化建筑工地监控摄像头的环境感知工人轨迹预测

Modular and Offsite Construction (MOC) Summit Proceedings Pub Date : 2022-09-14 DOI: 10.29173/mocs268

Qiuling Yang, Q. Mei, Chao Fan, Meng Ma, Xinming Li

{"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}

引用次数: 1