With the imperative to combat climate change and achieve net-zero targets by 2050, the construction industry faces growing pressure to adopt sustainable practices and reduce carbon emissions. Small and medium-sized enterprises (SMEs), which constitute the majority of the industry, often lack the resources and expertise to make this transition effectively. This paper investigates how off-site construction SMEs can implement actions to achieve net-zero carbon emissions, focusing on the integration of sustainable practices through Building Information Modelling (BIM) and Lean principles within a small off-site construction company. Using an action research approach, the study employed iterative cycles of planning, action, and reflection. Data collection included carbon footprint assessments, process mapping, stakeholder interviews, and workshops. The analysis identified inefficiencies that informed targeted interventions, such as enhancing in-house capabilities and digitalising processes to streamline operations and improve monitoring. Collaborative engagement ensured that solutions were both technically feasible and economically viable. The findings highlight the potential of Lean principles and BIM in advancing net-zero goals. The research offers valuable insights for SMEs, highlighting the critical role of collaborative and innovative approaches in driving net-zero transformation.
Social housing projects (SHPs) have major social and economic importance in many developing countries, including Brazil. For this reason, it is important to assess the benefits of housing projects in terms of achieving housing programme goals. However, most postoccupancy evaluations (POE) have focused on product attributes without consideration of value generation from the perspective of the users. Indeed, previous studies in Brazil have highlighted numerous cases of SHPs failing to meet the population’s needs. The aim of this research was to develop a POE method for assessing the effectiveness of housing programmes in generating value, examining both the quality of the built environment and the achievement of project goals. This method was based on the means-end value chain conceptual model, which has been widely applied in the field of marketing. Design science research, the methodological approach adopted in this investigation, divided this study approach into five phases: (1) understanding the context of SHPs in Brazil, (2) development of data collection instruments, (3) evaluation of three SHPs, (4) comparison of the results and discussion and (5) assessment of the proposed method and reflection. The main contribution of this research is the development of a POE method that provides a comprehensive assessment that is not limited to product attributes. The method also introduces several innovations compared to traditional POE processes, namely: (1) adaptation of the means-end value chain to the context of social housing, (2) involvement of different stakeholders in the evaluation process (e.g., social workers and technical staff from funding bodies), in addition to end users, (3) flexibility for assessing projects from different housing programmes and (4) the definition of a set of constructs that are relevant for evaluating SHPs in the Brazilian context.
BackgroundExisting literature highlights the crucial role of Healthcare Built Environments (HBEs) in generating value and shaping service experiences. HBEs must fulfil their intended purpose during the operational phase of construction projects to generate value. Additionally, many design requirements for facilities are shaped by the needs of clinical and support services, as well as those of users. Therefore, understanding value generation requires considering the dynamic interdependence between physical space and service needs. However, previous studies have not thoroughly explored these relationships, leaving a critical research gap.ObjectiveIt aims to propose a method to understand value generation in HBEs by examining the relationships between built environment attributes and healthcare service delivery, from the perspectives of multiple user groups.MethodDesign Science Research was the methodological approach adopted in this investigation. Two empirical studies were undertaken in different hospitals.ResultsThe primary output is the i3 method, a novel approach for understanding value generation in HBEs. It integrates the laddering technique, which is based on the means-end chain conceptual model, with additional sources of data, such as design documents, interviews with stakeholders, and direct observations of the HBEs.ConclusionsFindings highlight the importance of analyzing the interactions between the HBE and services, revealing opportunities to enhance value generation. The hierarchical value maps generated through the i3 method offer a structured approach to support design decision-making. The i3 method helps identify overlooked constructs and relationships, such as the need for HBE adaptability to address service changes or respond to unforeseen service demands.
Achieving net-zero requires an integrated approach to energy efficiency throughout a building’s life cycle. Energy consumption can be optimised and carbon emissions can be reduced when utilising smart technologies. This paper explores the role of smart home technology in achieving net-zero home goals, by synthesising existing literature on smart energy, user behaviour, and sustainable building strategies. A rapid evidence review is conducted to identify technologies that support net-zero through smart home systems. Key findings indicate that while smart homes can significantly contribute to reducing energy consumption and carbon footprints, challenges such as limited public awareness, data privacy concerns and policy barriers hinder their widespread adoption. The research demonstrates the need for further empirical studies on user engagement, cost-benefit models and policy frameworks to facilitate the integration of smart home technologies into decarbonising homes, therefore accelerating the transition to net-zero.
More than 30 years ago, early researchers examining gender representation in the American workforce called the construction industry a “non-traditional field” for working women. Despite the plethora of research and practice efforts over the intervening decades, the industry is still defined as a “non-traditional field” by contemporary measures. Researchers have proposed various tools for achieving the required social change to fix gender segregation in construction, including include patching hypothesised leaks in the education-to-work pipeline. This paper calls for a systematic inspection of the whole pipeline to investigate leaks in the education and career segments through root-cause analysis. International education and industry data from Australia, the USA, the UK and Brazil were comparatively analysed through a gendered lens. The findings shed light on the cross-sectorial approaches needed for systemic social change in the construction industry, which has historically been called “non-inclusive,” “unsafe for women,” a “white boys club,” “masculine” and “homogenous.”
This paper discusses knowledge sharing through scenario development as applied in the interdisciplinary and international research project uVITAL. It focused on user-oriented upgrading of the social housing stock. The aim was to gain deeper insights into the specificities and commonalities of the four country case studies involved. Two online workshops, which included various steps for scenario development, were particularly important during the COVID-19 pandemic when face-to-face exchanges were not possible. A Miro whiteboard was very useful as a technical communication and collaboration tool. This paper outlines the benefits and challenges of scenario development to facilitate communication and collaboration between researchers from different disciplines and national and cultural backgrounds, particularly in online and hybrid settings. The well-structured process of scenario development was an important step in the project, moving from passive to active knowledge sharing. This included issues of content, geographical and cultural diversity and methodological openness.
Globally, the construction industry is a key contributor to the gross domestic product. However, compared to the gender diversity performance of the workforce in the world economy, historically, construction has been performing significantly poorly. Literature argued that these consistently poor performances in diversity, equity and inclusion were causing leaks in the education and career pipeline. However, a systematic investigation with evidence base was lacking. In this vacuum, the proposed study aims to explore the evolution of gender dynamics within the construction sector in Australia, United States, United Kingdom, and Brazil through quantitative evidence. This study collected industry gender representation data, gender pay gaps and tertiary degrees conferred from government agencies in four countries: Australia, the United States, the United Kingdom and Brazil. Quantitative data analysis was conducted with an exploration of factual figures, significant trajectories and fluctuations. Results were explored to understand local jurisdictions' possible causal relationships and interventions. Delving into findings from the education pipeline revealed declining trends and alarming opportunities for the education institutions to take a lead role in moving from a "challenge leaky pipeline" towards a "shared solution space" through international cross-sectorial collaborations with the paradigm shift in the construction industry with the emerging fifth industrial revolution.
In the modular construction, the range of customization options is limited compared to traditional construction, which can be seen as a negative aspect. Different customization strategies can be adopted by companies, but the choice of the appropriate strategy is related to the technologies used in the operational process, with emphasis on the design and production stages. This study aims to compare the technologies used in the design, production and exchange of information in the development of customized housing in modular construction companies in Brazil and England. To achieve that, three case studies were conducted in English modular construction companies operating in the residential sector. The results of the case studies were compared with the literature on technologies used by Brazilian companies. It was noted that English companies, regardless of their size and type of customization offered, use Revit software to develop the design, and communication between different designers is done via cloud computing. However, communication between designers and production is often done on paper, which leads to errors. The machinery used on the shop floor varies between companies. The results found are similar to the Brazilian reality. It was noted that companies do not make use of all available potential; however, larger companies that are able to perform mass customization invest more in technologies for control and integration between operations. To ensure greater productivity and efficient use of technologies, companies should adopt mass customization.
Investigating the implications of integrating building information modeling (BIM) with claims management and the consequent effect on quantity surveying practices is essential for advancing digitalization and for avoidance of disputes in construction. Based on primary semistructured interviews with eight construction professionals in the UK and 48 peer-reviewed articles (secondary data), BIM's potential to enhance collaboration, improve cost estimation, and streamline claims management processes using text mining was studied. Text mining collocation analysis was applied using RStudio to elicit BIM and claims management concepts. The findings suggested that although BIM integration offers considerable benefits, challenges—such as resistance to change, lack of standardization, and the need for continuous upskilling—may hinder its full implementation. These findings contribute to the emerging need for as-built intelligent BIM with claims management operations in the construction industry from a theoretical perspective. BIM's potential to redefine the role of construction professionals such as quantity surveyors may engender a collaborative construction sector because of the efficiency it brings to the construction industry.
Upgrading existing social housing (SH) requires user-centred participatory processes to promote values. Comparative case studies in Brazil, Germany, the Netherlands, and the UK are presented. Living Labs (LLs) were conducted for the delivery of user values and to promote an informed decision-making process. Tools and LL activities were tested to engage stakeholders in the upgrading process, support the co-creation of solutions and address social and societal challenges. The main research aims were to facilitate SH upgrading processes focusing on the delivery of value for users, achieving end-user empowerment, as well as assessing participatory decision-making through LLs. Research goals were achieved in each case study setting. The evaluation of specific cases informed a conceptual framework and guidelines to facilitate upgrading through LLs in varied SH landscapes.
Chapter 6 Building Information Modeling and Lean Construction Lauri KOSKELA, Lauri KOSKELA School of Arts and Humanities, University of Huddersfield, United KingdomSearch for more papers by this authorSaeed TALEBI, Saeed TALEBI School of Engineering and Built Environment, Birmingham City University, United KingdomSearch for more papers by this authorAlgan TEZEL, Algan TEZEL College of Engineering & Physical Sciences, Aston University, Birmingham, United KingdomSearch for more papers by this authorPatricia TZORTZOPOULOS, Patricia TZORTZOPOULOS School of Arts and Humanities, University of Huddersfield, United KingdomSearch for more papers by this author Lauri KOSKELA, Lauri KOSKELA School of Arts and Humanities, University of Huddersfield, United KingdomSearch for more papers by this authorSaeed TALEBI, Saeed TALEBI School of Engineering and Built Environment, Birmingham City University, United KingdomSearch for more papers by this authorAlgan TEZEL, Algan TEZEL College of Engineering & Physical Sciences, Aston University, Birmingham, United KingdomSearch for more papers by this authorPatricia TZORTZOPOULOS, Patricia TZORTZOPOULOS School of Arts and Humanities, University of Huddersfield, United KingdomSearch for more papers by this author Régine Teulier, Régine TeulierSearch for more papers by this authorMarie Bagieu, Marie BagieuSearch for more papers by this author Book Author(s):Régine Teulier, Régine TeulierSearch for more papers by this authorMarie Bagieu, Marie BagieuSearch for more papers by this author First published: 22 December 2023 https://doi.org/10.1002/9781394264933.ch6 AboutPDFPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShareShare a linkShare onEmailFacebookTwitterLinkedInRedditWechat Summary The recognition of the connection between building information modeling (BIM) and Lean Construction is relatively recent. This chapter provides an overview and analysis on the connection between BIM and Lean. It discusses the contributions of BIM to Lean, respectively, in design, construction and facilities maintenance. Immersive technologies such as virtual reality/mixed reality are more frequently used with BIM in client and stakeholder engagement for the communication of design intent, requirement capture as well as coordination and verification through advanced visualization. The use of BIM for Lean Construction efforts has been widening in the construction phase of the project lifecycle. One of the prominent Lean techniques where the interaction with BIM is apparent is the Last Planner System for construction planning and control. The visualization capacity of BIM offers new avenues for maintaining the information flow and creating transparency in construction processes across different disciplines and organizational levels. References Abanda , F.H. , Tah , J.H.M. , Cheung , F.K.T. ( 2017 ). BIM in off-site manufacturing for buildings . Journal of Building Engineering , 14 , 89 – 102 . 10.1016/j.jobe.2017.10.002 Web of Science®Google Scholar Azhar , S. ( 2011 ). Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry . Leadership and Management in Engineering , 11 ( 3 ), 241 – 252 . 10.1061/(ASCE)LM.1943-5630.0000127 Google Scholar Ballard , G. ( 1999 ). Can pull techniques be used in design management? CIB Report, Concurrent Engineering in Construction , Helsinki . Google Scholar Ballard , G. ( 2000 ). The last planner system of production control . Thesis, University of Birmingham , Birmingham . Google Scholar Ballard , G. ( 2008 ). The lean project delivery system: An update . Lean Construction Journal , 1 – 19 . Google Scholar Bascoul , A.M. , Tommelein , I.D. , Tillmann , P. , Muxen , S. ( 2018 ). Towards facility management participation in design: A UCSF case study . In 26th Annual Conference of the International Group for Lean Construction , Chennai . 10.24928/2018/0209 Google Scholar Becerik-Gerber , B. , Jazizadeh , F. , Li , N. , Calis , G. ( 2012 ). Application areas and data requirements for BIM-enabled facilities management . Journal of Construction Engineering and Management , 138 , 431 – 442 . 10.1061/(ASCE)CO.1943-7862.0000433 Web of Science®Google Scholar Beck , S. , Schmalz , S. , Heyl , J.V. , Binder , F. ( 2016 ). Optimizing the value stream-application of BIM in FM. Status quo in Germany . In 24th Annual Conference of the International Group for Lean Construction , Boston, MA . Google Scholar Bell , S.C. and Orzen , M.A. ( 2016 ). Lean IT: Enabling and Sustaining your Lean Transformation . CRC Press , New York . Google Scholar Bessant , J. , Caffyn , S. , Gallagher , M. ( 2001 ). An evolutionary model of continuous improvement behaviour . Technovation , 21 , 67 – 77 . 10.1016/S0166-4972(00)00023-7 Web of Science®Google Scholar Bhatla , A. and Leite , F. ( 2012 ). Integration framework of BIM with the last planner system TM . In IGLC 20th Conference of the International Group for Lean Construction , San Diego, CA . Google Scholar Bloch , T. and Sacks , R. ( 2018 ). Comparing machine learning and rule-based inferencing for semantic enrichment of BIM models . Automation in Construction , 91 , 256 – 272 . 10.1016/j.autcon.2018.03.018 Web of Science®Google Scholar Bonanomi , M. ( 2016a ). Building information modeling (BIM) and facility management (FM) . In Knowledge Management and Information Tools for Building Maintenance and Facility Management , C. Talamo and M. Bonanomi (eds). Springer , Milan . 10.1007/978-3-319-23959-0_6 Google Scholar Bonanomi , M. ( 2016b ). Methodological experimentation: Proposal of a datasheet template for FM activities in the BIM environment . In Knowledge Management and Information Tools for Building Maintenance and Facility Management , C. Talamo and M. Bonanomi (eds). Springer , Milan . 10.1007/978-3-319-23959-0_7 Google Scholar Bortolini , R. , Formoso , C.T. , Viana , D.D. ( 2019 ). Site logistics planning and control for engineer-to-order prefabricated building systems using BIM 4D modeling . Automation in Construction , 98 , 248 – 264 . 10.1016/j.autcon.2018.11.031 Web of Science®Google Scholar Bråthen , K. and Moum , A. ( 2016 ). Bridging the gap: Bringing BIM to construction workers . Engineering, Construction and Architectural Management , 23 , 751 – 764 . 10.1108/ECAM-01-2016-0008 Web of Science®Google Scholar Bryde , D. , Broquetas , M. , Volm , J.M. ( 2013 ). The project benefits of Building Information Modelling (BIM) . International Journal of Project Management , 31 , 971 – 980 . 10.1016/j.ijproman.2012.12.001 Web of Science®Google Scholar Chen , L. and Luo , H. ( 2014 ). A BIM-based construction quality management model and its applications . Automation in Construction , 46 , 64 – 73 . 10.1016/j.autcon.2014.05.009 CASWeb of Science®Google Scholar Cheng , J.C.P. and Ma , L.Y.H. ( 2013 ). A BIM-based system for demolition and renovation waste estimation and planning . Waste Management , 33 , 1539 – 1551 . 10.1016/j.wasman.2013.01.001 PubMedWeb of Science®Google Scholar Chong , H.-Y. , Lee , C.-Y. , Wang , X. ( 2017 ). A mixed review of the adoption of Building Information Modelling (BIM) for sustainability . Journal of Cleaner Production , 142 , 4114 – 4126 . 10.1016/j.jclepro.2016.09.222 Web of Science®Google Scholar Daniel , E.I. , Pasquire , C. , Dickens , G. , Ballard , H.G. ( 2017 ). The relationship between the Last Planner® System and collaborative planning practice in UK construction . Engineering, Construction and Architectural Management , 24 , 407 – 425 . 10.1108/ECAM-07-2015-0109 Web of Science®Google Scholar Dave , B. , Boddy , S. , Koskela , L. ( 2011 ). Visilean: Designing a production management system with lean and BIM . In 19th Annual Conference of the International Group for Lean Construction , Lima . Google Scholar Dave , B. , Koskela , L. , Kiviniemi , A. , Owen , R.L. , Tzortzopoulos Fazenda , P. ( 2013 ). Implementing Lean in construction: Lean construction and BIM . Guide C725, CIRIA , London . Google Scholar Dave , B. , Pikas , E. , Kerosuo , H. , Mäki , T. ( 2015 ). ViBR – Conceptualising a virtual big room through the framework of people, processes and technology . Procedia Economics and Finance , 21 , 586 – 593 . 10.1016/S2212-5671(15)00216-6 Google Scholar Do , D. , Chen , C. , Ballard , G. , Tommelein , I. ( 2014 ). Target value design as a method for controlling project cost overruns . International Group for Lean Construction , 22 , 171 – 181 . Google Scholar Eastman , C.M. and Sacks , R. ( 2008 ). Relative productivity in the AEC industries in the United States for on-site and off-site activities . Journal of Construction Engineering and Management , 134 , 517 – 526 . 10.1061/(ASCE)0733-9364(2008)134:7(517) Web of Science®Google Scholar Eastman , C.M. , Teicholz , P. , Sacks , R. , Liston , K. ( 2008 ). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Architects, Engineers, Contractors, and Fabricators . John Wiley & Sons , Hoboken, NJ . 10.1002/9780470261309 Google Scholar Eastman , C.M. , Teicholz , P. , Sacks , R. , Liston , K. ( 2011 ). BIM Handbook: A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors . John Wiley & Sons , Hoboken, NJ . Google Scholar Edirisinghe , R. , London , K.A. , Kalutara , P. , Aranda-Mena , G. ( 2017 ). Building information modelling for facility management: Are we there yet? Engineering, Construction and Architectural Management , 24 ( 6 ), 1119 – 1154 . [Online]. Available at: https://doi.org/ 10.1108/ECAM-06-2016-0139 . 10.1108/ECAM-06-2016-0139 Web of Science®Google Scholar Ergün , O. , Akın , Ş. , Dino , İ.G. , Surer , E. ( 2019 ). Architectural design in virtual reality and mixed reality environments: A comparative analysis . IEEE Conference on Virtual Reality and 3D User Interfaces (VR) , Osaka , 914 – 915 , doi: 10.1109/VR.2019.8798180 . Google Scholar Ezcan , V. , Isikdag , U. , Goulding , J. ( 2013 ). BIM and off-site manufacturing: Recent research and opportunities . CIB World Building Congress 2013. TG 74 Workshop. Google Scholar Gao , S. , Pheng , L.S. , Tay , W. ( 2020 ). Lean facilities management: Preliminary findings from Singapore's international schools . Facilities , 38 , 539 – 558 . 10.1108/F-07-2019-0076 Web of Science®Google Scholar Garrido , M. , Mendes , R. , Scheer , S. , Campestrini , T. ( 2015 ). Using BIM for last planner system: Case studies in Brazil . In Proceedings of the 2015 International Workshop on Computing in Civil Engineering , Austin, TX . 10.1061/9780784479247.075 Google Scholar Gerber , D.J. , Becerik-Gerber , B. , Kunz , A. ( 2010 ). Building information modeling and lean construction: Technology, methodology and advances from practice . In Proceedings of the 18th International Group for Lean Const , Haifa , 14 – 16 . Google Scholar Ghosh , A. , Chasey , A.D. , Mergenschroer , M. ( 2015 ). Building information modeling for facilities management: Current practices and future prospects . In Building Information Modeling: Applications and Practices . American Society of Civil Engineers , Reston, VA . 10.1061/9780784413982.ch09 Google Scholar Golparvar-Fard , M. , Pena-Mora , F. , Savaresse , S. ( 2015 ). Automated progress monitoring using unordered daily construction photographs and IFC-based building information models . Journal of Computing in Civil Engineering , 29 , 04014025 . 10.1061/(ASCE)CP.1943-5487.0000205 Web of Science®Google Scholar Guerriero , A. , Kubicki , S. , Berroir , F. , Lemaire , C. ( 2017 ). BIM-enhanced collaborative smart technologies for LEAN construction processes . In International Conference on Engineering, Technology and Innovation (ICE/ITMC) . IEEE , Madeira . Google Scholar Guzman , G. and Ulloa , W. ( 2020 ). BIM application in the operation and maintenance management of a sports infrastructure . In 28th Annual Conference of the International Group for Lean Construction , I.D. Tommelein and E. Daniel (eds). IGLC , Berkeley, CA . 10.24928/2020/0015 Google Scholar Hamdi , O. and Leite , F. ( 2012 ). BIM and Lean interactions from the BIM capability maturity model perspective: A case study . In Proceedings of the 20th Annual Conference of the International Group for Lean Construction , San Diego, CA , 18 – 20 . Google Scholar Han , K.K. , Golparvar-Fard , M. ( 2014 ). Automated monitoring of operation-level construction progress using 4D bim and daily site photologs . In Proceedings of the Construction Research Congress: Construction in a Global Network (CRC 2014) , Atlanta, GA , 19 – 21 . 10.1061/9780784413517.106 Google Scholar Hardin , B. and McCool , D. ( 2015 ). BIM and Construction Management: Proven Tools, Methods, and Workflows . John Wiley & Sons , New York . Google Scholar Heigermoser , D. , De Soto , B.G. , Abbot , E.L.S. , Chua , D.K.H. ( 2019 ). BIM-based Last Planner System tool for improving construction project management . Automation in Construction , 104 , 246 – 254 . 10.1016/j.autcon.2019.03.019 Web of Science®Google Scholar International Standards Organization ( 2017 ). Facility management-scope. Key concepts and benefits . ISO , Geneva . Google Scholar Irizarry , J. , Karan , E.P. , Jalaei , F. ( 2013 ). Integrating BIM and GIS to improve the visual monitoring of construction supply chain management . Automation in Construction , 31 , 241 – 254 . 10.1016/j.autcon.2012.12.005 Web of Science®Google Scholar Johansson , M. , Roupé , M. , Bosch-Sijtsema , P. ( 2015 ). Real-time visualization of building information models (BIM) . Automation in Construction , 54 , 69 – 82 . 10.1016/j.autcon.2015.03.018 Web of Science®Google Scholar Jylhä , T. and Junnila , S. ( 2013 ). Learning from lean management-going beyond input-output thinking . Facilities , 31 , 454 – 467 . 10.1108/F-11-2011-0097 Google Scholar Jylhä , T. and Suvanto , M.E. ( 2015 ). Impacts of poor quality of information in the facility management field . Facilities , 33 ( 5/6 ), 302 – 319 . 10.1108/F-07-2013-0057 Google Scholar Kasprzak , C. and Dubler , C. ( 2012 ). Aligning BIM with FM: Streamlining the process for future projects . Construction Economics and Building , 12 , 68 – 77 . 10.5130/AJCEB.v12i4.3038 Google Scholar Khosakitchalert , C. , Yabuki , N. , Fukuda , T. ( 2020 ). Automated modification of compound elements for accurate BIM-based quantity takeoff . Automation in Construction , 113 , 103142 . 10.1016/j.autcon.2020.103142 Web of Science®Google Scholar Kiviniemi , A. and Codinhoto , R. ( 2014 ). Challenges in the implementation of BIM for FM – Case Manchester Town Hall complex . In Computing in Civil and Building Engineering , 665 – 672 . 10.1061/9780784413616.083 Google Scholar Koskela , L. ( 2000 ). An exploration towards a production theory and its application to construction . Thesis, VTT Technical Research Centre of Finland , Espoo . Google Scholar Koskela , L. ( 2020 ). Theory of lean construction . In Lean Construction: Core Concepts and New Frontiers , P. Tzortzopoulos , M. Kagioglou , L. Koskela (eds). Routledge , London . 10.1201/9780429203732-1 Google Scholar Koskela , L. and Kagioglou , M. ( 2005 ). On the metaphysics of production . In 13th Annual Conference of the International Group for Lean Construction , Sydney . Google Scholar Koskela , L. , Ferrantelli , A. , Niranen , J. , Pikas , E. , Dave , B. ( 2019 ). Epistemological explanation of lean construction . Journal of Construction Engineering and Management , 145 , 04018131 . 10.1061/(ASCE)CO.1943-7862.0001597 Web of Science®Google Scholar Kumar , S.S. and Cheng , J.C.P. ( 2015 ). A BIM-based automated site layout planning framework for congested construction sites . Automation in Construction , 59 , 24 – 37 . 10.1016/j.autcon.2015.07.008 Web of Science®Google Scholar Lee , S. and Akin , Ö. ( 2009 ). Shadowing tradespeople: Inefficiency in maintenance fieldwork . Automation in Construction , 18 , 536 – 546 . 10.1016/j.autcon.2008.11.002 Web of Science®Google Scholar Lee , S.-I. , Bae , J.-S. , Cho , Y.S. ( 2012 ). Efficiency analysis of set-based design with structural building information modeling (S-BIM) on high-rise building structures . Automation in Construction , 23 , 20 – 32 . 10.1016/j.autcon.2011.12.008 Web of Science®Google Scholar Love , P.E. , Matthews , J. , Simpson , I. , Hill , A. , Olatunjl , O.A. ( 2014 ). A benefits realization management building information modeling framework for asset owners . Automation in Construction , 37 , 1 – 10 . 10.1016/j.autcon.2013.09.007 Web of Science®Google Scholar Love , P.E. , Matthews , J. , Lockley , S. ( 2015 ). BIM for built asset management . Built Environment Project and Asset Management , 5 ( 3 ), 230 – 232 . 10.1108/BEPAM-12-2014-0062 Google Scholar Mahalingam , A. , Yadav , A.K. , Varaprasad , J. ( 2015 ). Investigating the role of lean practices in enabling BIM adoption: Evidence from two Indian cases . Journal of Construction Engineering and Management , 141 , 05015006 . 10.1061/(ASCE)CO.1943-7862.0000982 Web of Science®Google Scholar Mäki , T. and Kerosuo , H. ( 2020 ). Design-related questions in the construction phase: The effect of using the Last Planner System in design management . Canadian Journal of Civil Engineering , 47 ( 2 ), 132 – 139 . 10.1139/cjce-2018-0382 Web of Science®Google Scholar Markgraff , P. ( 2008 ). Leaning toward BIM? Green construction purchasing [Online]. Available at: http://www.construction-purchasing.com/site/archives/working_right/Markgraff_Q308_BIM.php . Google Scholar Marzouk , M. , Elmaraghy , A. , Voordijk , H. ( 2019 ). Lean deconstruction approach for buildings demolition processes using BIM . Lean Construction Journal , 147 – 173 . Google Scholar Melnyk , S.A. and Narasimhan , R. ( 1992 ). Computer Integrated Manufacturing . Business One Irwin , Homewood, IL . Google Scholar Monteiro , A. and Poças Martins , J. ( 2013 ). A survey on modeling guidelines for quantity takeoff-oriented BIM-based design . Automation in Construction , 35 , 238 – 253 . 10.1016/j.autcon.2013.05.005 Web of Science®Google Scholar Munir , M. , Kiviniemi , A. , Jones , S. , Finnegan , S. ( 2019 ). BIM business value generation theory: A grounded theory approach . Journal of Information Technology in Construction , 24 , 406 – 423 . Web of Science®Google Scholar National Institute of Building Sciences ( 2021 ). Frequently asked questions about the national BIM Standard – United States™ . National BIM Standard – United States TM V3 [Online]. Available at: https://www.nationalbimstandard.org/faqs [Accessed 12/02/2023]. Google Scholar Noor , M. and Pitt , M. ( 2009 ), A critical review on innovation in facilities management service delivery . Facilities , 27 ( 5/6 ), 211 – 228 . 10.1108/02632770910944943 Google Scholar Pärn , E.A. , Edwards , D.J. , Sing , M.C. ( 2017 ). The building information modelling trajectory in facilities management: A review . Automation in Construction , 75 , 45 – 55 . 10.1016/j.autcon.2016.12.003 Web of Science®Google Scholar Parrish , K.D. ( 2009 ). Applying a set-based design approach to reinforcing steel design . Dissertation, University of California , Berkeley, CA . Google Scholar Pishdad-Bozorgi , P. , Moghaddam , E.H. , Karasulu , Y . ( 2013 ). Advancing target price and target value design process in IPD using BIM and risk-sharing approaches . In Proceedings of the 49th ASC Annual International Conference Proceedings , San Luis Obispo, CA . Google Scholar Plenert , G.J. ( 2011 ). Lean Management Principles for Information Technology . CRC Press , Boca Raton, FL . 10.1201/b11549 Google Scholar Royal Institute of Chartered Surveyors ( 2020 ). Facilities management [Online]. Available at: https://www.rics.org/north-america/join/pathway-guides/facilities-management/ [Accessed 4 April 2020]. Google Scholar Sacks , R. , Koskela , L. , Dave , B.A. , Owen , R. ( 2010a ). Interaction of lean and building information modeling in construction . Journal of Construction Engineering and Management , 136 , 968 – 980 . 10.1061/(ASCE)CO.1943-7862.0000203 Web of Science®Google Scholar Sacks , R. , Radosavljevic , M. , Barak , R. ( 2010b ). Requirements for building information modeling based lean production management systems for construction . Automation in Construction , 19 , 641 – 655 . 10.1016/j.autcon.2010.02.010 Web of Science®Google Scholar Sacks , R. , Barak , R. , Belaciano , B. , Gurevich , U. , Pikas , E. ( 2013 ). KanBIM Workflow Management System: Prototype implementation and field testing . Lean Construction Journal , 19 – 35 . Web of Science®Google Scholar Sacks , R. , Eastman , C. , Lee , G. , Teicholz , P. ( 2018 ). BIM Handbook: A Guide to Building Information Modeling For Owners, Designers, Engineers, Contractors, and Facility Managers . John Wiley & Sons , Hoboken, NJ . 10.1002/9781119287568 Google Scholar Schwabe , K. , Teizer , J. , König , M. ( 2019 ). Applying rule-based model-checking to construction site layout planning tasks . Automation in Construction , 97 , 205 – 219 . 10.1016/j.autcon.2018.10.012 Web of Science®Google Scholar Shou , W. , Wang , X. , Wang , J. , Hou , L. , Truijens , M. ( 2014 ). Integration of BIM and lean concepts to improve maintenance efficiency: A case study . In Computing in Civil and Building Engineering , American Society of Civil Engineers : Reston, VA . 10.1061/9780784413616.047 Google Scholar Slack , N. , Chambers , S. , Johnston , R. ( 2010 ). Operations Management . Pearson Education , Harlow . Google Scholar Smith , R.E. ( 2010 ). Prefab Architecture: A Guide to Modular Design and Construction . John Wiley & Sons , Hoboken, NJ . Google Scholar Smith , P. ( 2016 ). Project cost management with 5D BIM . In Proceedings of the 29th IPMA World Congress WC2015 . Elsevier Science BV , Westin Playa Bonita . 10.1016/j.sbspro.2016.06.179 Google Scholar Sobek II , D.K. and Smalley , A. ( 2011 ). Understanding A3 Thinking: A Critical Component of Toyota's PDCA Management System . CRC Press , New York . Google Scholar Sriprasert , E. and Dawood , N. ( 2003 ). Multi-constraint information management and visualisation for collaborative planning and control in construction . Journal of Information Technology in Construction , 8 , 341 – 366 . Google Scholar Succar , B. ( 2009 ). Building information modelling framework: A research and delivery foundation for industry stakeholders . Automation in Construction , 18 , 357 – 375 . 10.1016/j.autcon.2008.10.003 Web of Science®Google Scholar Succar , B. and Poirier , E. ( 2020 ). Lifecycle information transformation and exchange for delivering and managing digital and physical assets . Automation in Construction , 112 , 103090 . 10.1016/j.autcon.2020.103090 Web of Science®Google Scholar Sydora , C. and Stroulia , E. ( 2020 ). Rule-based compliance checking and generative design for building interiors using BIM . Automation in Construction , 120 , 103368 . 10.1016/j.autcon.2020.103368 Web of Science®Google Scholar Talebi , S. ( 2014a ). Exploring advantages and challenges of adaptation and implementation of BIM in project life cycle . In 2nd BIM International Conference on Challenges to Overcome, BIMForum . Lisbon . Google Scholar Talebi , S. ( 2014b ). Rethinking the project development process through use of BIM . In 2nd BIM International Conference on Challenges to Overcome, BIMForum . Lisbon . Google Scholar Tauriainen , M. , Marttinen , P. , Dave , B. , Koskela , L. ( 2016 ). The effects of BIM and lean construction on design management practices . Procedia Engineering , 164 , 567 – 574 . 10.1016/j.proeng.2016.11.659 Google Scholar Terreno , S. , Asadi , S. , Anumba , C. ( 2019 ). An exploration of synergies between lean concepts and BIM in FM: A review and directions for future research . Buildings , 9 , 147 . 10.3390/buildings9060147 Web of Science®Google Scholar Tezel , A. and Aziz , Z. ( 2017 ). Visual management in highways construction and maintenance in England . Engineering, Construction and Architectural Management , 24 , 486 – 513 . 10.1108/ECAM-02-2016-0052 Web of Science®Google Scholar Tillmann , P. ( 2020 ). Using the Last Planner System to tackle the social aspects of BIM-enabled MEP coordination . Canadian Journal of Civil Engineering , 47 , 140 – 152 . 10.1139/cjce-2018-0424 Web of Science®Google Scholar Tillmann , P. and Sargent , Z. ( 2016 ). Last planner & BIM integration: Lessons from a continuous improvement effort . In Proceedings of the 24th Annual Conference of the International Group for Lean Construction , Boston, MA . Google Scholar Umstot , D. and Fauchier , D. ( 2017 ). Lean Project Delivery: Building Championship Project Teams . CreateSpace , London . Google Scholar Vermeulen , D. and Ayoubi , M.E. ( 2019 ). Using generative design in construction applications [Online]. Available at: https://www.autodesk.com/autodesk-university/article/Using-Generative-Design-in-Construction-Applications . Google Scholar Vestermo , A. , Murvold , V. , Svalestuen , F. , Lohne , J. , Laedre , O. ( 2016 ). BIM-stations: What it is and how it can be used to implement lean principles . In 24th Annual Conference of the International Group for Lean Construction , Boston, MA . Google Scholar Volk , R. , Stengel , J. , Schultmann , F. ( 2014 ). Building Information Modeling (BIM) for existing buildings – Literature review and future needs . Automation in Construction , 38 , 109 – 127 . 10.1016/j.autcon.2013.10.023 Web of Science®Google Scholar Wang , J. , Sun , W. , Shou , W. , Wang , X. , Wu , C. , Chong , H.-Y. , Liu , Y. , Sun , C. ( 2015 ). Integrating BIM and LiDAR for real-time construction quality control . Journal of Intelligent & Robotic Systems , 79 , 417 – 432 . 10.1007/s10846-014-0116-8 Web of Science®Google Scholar Wang , P. , Wu , P. , Wang , J. , Chi , H.-L. , Wang , X. ( 2018 ). A critical review of the use of virtual reality in construction engineering education and training . International Journal of Environmental Research and Public Health , 15 , 1204 . 10.3390/ijerph15061204 PubMedWeb of Science®Google Scholar Williams , H. and Duray , R. ( 2017 ). Making IT Lean: Applying Lean Practices to the Work of IT . CRC Press , Boca Raton, FL . 10.1201/b12947 Google Scholar Womack , J.P. , Jones , D.T. , Roos , D. ( 1990 ). The Machine that Changed the World . Rawson Associates , New York . Google Scholar Wong , J.K.W. and Zhou , J. ( 2015 ). Enhancing environmental sustainability over building life cycles through green BIM: A review . Automation in Construction , 57 , 156 – 165 . 10.1016/j.autcon.2015.06.003 Web of Science®Google Scholar Zaker , R. and Coloma , E. ( 2018 ). Virtual reality-integrated workflow in BIM-enabled projects collaboration and design review: A case study . Visualization in Engineering , 6 ( 1 ), 1 – 15 . 10.1186/s40327-018-0065-6 Google Scholar Zhang , S. , Teizer , J. , Lee , J.-K. , Eastman , C.M. , Venugopal , M. ( 2013 ). Building Information Modeling (BIM) and safety: Automatic safety checking of construction models and schedules . Automation in Construction , 29 , 183 – 195 . 10.1016/j.autcon.2012.05.006 CASWeb of Science®Google Scholar Zhang , S. , Sulankivi , K. , Kiviniemi , M. , Romo , I. , Eastman , C.M. , Teizer , J. ( 2015 ). BIM-based fall hazard identification and prevention in construction safety planning . Safety Science , 72 , 31 – 45 . 10.1016/j.ssci.2014.08.001 Web of Science®Google Scholar Zhang , J. , Long , Y. , Lv , S. , Xiang , Y. ( 2016 ). BIM-enabled modular and industrialized construction in China . Procedia Engineering , 145 , 1456 – 1461 . 10.1016/j.proeng.2016.04.183 Google Scholar Zou , Y. , Kiviniemi , A. , Jones , S.W. ( 2017 ). A review of risk management through BIM and BIM-related technologies . Safety Science , 97 , 88 – 98 . 10.1016/j.ssci.2015.12.027 Web of Science®Google Scholar Building Information Modeling: Shared Modeling, Mutual Data, the New Art of Building ReferencesRelatedInformation
Objectives, Purpose, or Aim: The aim of this article is to contribute to the better design of wayfinding systems by explicating the indexical properties of directional arrows and their consequences for wayfinding behavior. Background: The challenges associated with designing for the wayfinding needs of the different groups of users continue to be documented with the poor design of built environments being largely to blame for the wayfinders' inability to navigate complex settings. Directional arrows have been found to be especially problematic in such settings. Methods: Ethnographic data were collected and analyzed over a period of 3 years in three overlapping phases. The unique adequacy requirement of methods, which stipulates that the methods used to produce a description of a situation should originate from the situation they describe, was adopted. Results: Directional arrows derive their meaning from the position they occupy within the physical environment and from three sources: the spatial configuration of the setting, the positioning of the sign within the setting, and the directional arrow itself. The affordance closest to the sign will be taken as the one which the sign refers to. Wayfinders treat that affordance as being indicated by the arrow until such time as it becomes apparent that it is not. Conclusions: In response to the need to find lasting solutions to the enduring problems of wayfinding, this article demonstrates how better design of wayfinding systems can be achieved by explicating the indexical properties of directional arrows and their consequences for wayfinding behavior.
Visual Management (VM) is a communication strategy in which a visual workplace for closerange communication is created by using easy-to-understand sensory devices. It is adopted to increase process transparency and self-management capacity. VM discussions have been mostly device-centred to date, being concerned with the development of new devices, or understanding the impact of different VM attributes for different purposes. Explorations of VM as a strategy have been limited. This paper outlines the key elements of one part of an overall VM strategy, namely the implementation strategy (i.e., planning, introducing, executing, monitoring, and controlling, maintaining, and improving, and removing). It is based on an empirical study on the use of a specific type of VM device (i.e., digital whiteboards) at an infrastructure engineering design and consultancy company in the UK. The main sources of evidence were surveys with key representatives of the company and participant observation in the development and implementation of the device. Findings indicate that adopting VM through a systematic implementation strategy with coherent plans and actions is important to enable its successful application. Moreover, some future research opportunities are pointed out, such as to expand and evaluate the definitions proposed, and to test them in different contexts and device types.