Evaluating different stakeholder impacts on the occurrence of quality defects in offsite construction projects: A Bayesian-network-based model

Abstract Offsite construction has been identified as an effective approach for enhancing the sustainability of the construction industry. However, due to the fragmented production processes of offsite construction, quality defect control has become a significant challenge in the promotion of offsite construction projects. Offsite construction projects involve multiple interdependent stakeholders in close collaboration. These stakeholders play various roles in quality management and have different degrees of impact on the occurrence of quality defects. To enhance quality defect management in offsite construction projects, it is important to evaluate the different stakeholder impacts on the occurrence of quality defect. Through impact evaluations, critical stakeholders can be identified and their responsibilities clarified with respect to project quality, thereby motivating these key stakeholders to improve their quality defect control. In this study, we developed an evaluation model using the Bayesian network approach to measure stakeholder impacts on defect occurrence in offsite construction projects. Quality defects and stakeholder-related factors that might incur defects were modeled as a Bayesian network and the dependencies among network nodes examined. Then, the stakeholder impacts on the occurrence of quality defects were evaluated using Bayesian analysis. Finally, this Bayesian-network-based evaluation model was applied to a real project in Shenzhen, China. The results indicate that use of precast components with quality defects, misoperations by construction workers, and ineffective quality inspection and testing during onsite assembly and construction were the major factors affecting quality defect control. Additionally, in this case study, we found the contractor to have the highest level of impact on the occurrence of quality defects. This study contributes to the fields of stakeholder impact evaluation and quality defect analysis, and links defect management with key project stakeholders.

[1]  Geoffrey Qiping Shen,et al.  SWOT analysis and Internet of Things-enabled platform for prefabrication housing production in Hong Kong , 2016 .

[2]  Samuel Y. L. Yin,et al.  Developing a precast production management system using RFID technology , 2009 .

[3]  Stefan Olander,et al.  Evaluation of stakeholder influence in the implementation of construction projects , 2005 .

[4]  Mónica García-Melón,et al.  How to assess stakeholders' influence in project management? A proposal based on the Analytic Network Process , 2017 .

[5]  Jack Steven Goulding,et al.  Promoting Off-Site Construction: Future Challenges and Opportunities , 2012 .

[6]  Stefan Olander,et al.  Stakeholder impact analysis in construction project management , 2007 .

[7]  Ray Y. Zhong,et al.  Prefabricated construction enabled by the Internet-of-Things , 2017 .

[8]  Qiping Shen,et al.  Comparative study of greenhouse gas emissions between off-site prefabrication and conventional construction methods: Two case studies of residential projects , 2013 .

[9]  M. Mojtahedi,et al.  The impact of stakeholder attributes on performance of disaster recovery projects: The case of transport infrastructure , 2017 .

[10]  Richard E. Neapolitan,et al.  Learning Bayesian networks , 2007, KDD '07.

[11]  Alistair G.F. Gibb,et al.  Leading UK housebuilders' utilization of offsite construction methods , 2008 .

[12]  Paola Vicard,et al.  Object-oriented Bayesian networks for complex quality management problems , 2015 .

[13]  Jack Steven Goulding,et al.  Review of Motivations, Success Factors, and Barriers to the Adoption of Offsite Manufacturing in Nigeria , 2017 .

[14]  Geoffrey Qiping Shen,et al.  A model for simulating schedule risks in prefabrication housing production: A case study of six-day cycle assembly activities in Hong Kong , 2018, Journal of Cleaner Production.

[15]  Brenda McCabe,et al.  Developing Complete Conditional Probability Tables from Fractional Data for Bayesian Belief Networks , 2007 .

[16]  Vivian W. Y Tam,et al.  Critical Factors Affecting the Quality of Industrialized Building System Projects in China , 2017 .

[17]  Chao Mao,et al.  A SWOT analysis for promoting off-site construction under the backdrop of China’s new urbanisation , 2018 .

[18]  Ron Wakefield,et al.  Drivers, constraints and the future of offsite manufacture in Australia , 2007 .

[19]  Finn Verner Jensen,et al.  Introduction to Bayesian Networks , 2008, Innovations in Bayesian Networks.

[20]  Tonya M. Peterson,et al.  Motivation: How to Increase Project Team Performance , 2007 .

[21]  Gustav Jansson Industrialised housing design efficiency , 2010 .

[22]  Hoon Sohn,et al.  Automated Estimation of Reinforced Precast Concrete Rebar Positions Using Colored Laser Scan Data , 2017, Comput. Aided Civ. Infrastructure Eng..

[23]  S. Thomas Ng,et al.  Stakeholder impact analysis during post-occupancy evaluation of green buildings – A Chinese context , 2018 .

[24]  Qiping Shen,et al.  Ranked critical factors in PPP briefings , 2013 .

[25]  Johnny Wong,et al.  Stakeholder impact analysis of infrastructure project management in developing countries: a study of perception of project managers in state‐owned engineering firms in Vietnam , 2009 .

[26]  Dinh Son Nguyen Application of Bayesian networks for product quality management in a multistage manufacturing process , 2015, 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[27]  Dong Wang,et al.  Cloud Model-Based Safety Performance Evaluation of Prefabricated Building Project in China , 2018, Wirel. Pers. Commun..

[28]  Ron Basu Managing quality in projects: An empirical study , 2014 .

[29]  Bambang Trigunarsyah,et al.  Evaluating the influences of stakeholder management on construction project quality , 2011 .

[30]  Shoujian Zhang,et al.  Effect of stakeholder collaborative management on off-site construction cost performance , 2018 .

[31]  Zul-Atfi Ismail Improving conventional method on precast concrete building maintenance: Towards BIM implementation , 2017, Ind. Manag. Data Syst..

[32]  Robert H. Crawford,et al.  Life cycle greenhouse gas emissions and energy analysis of prefabricated reusable building modules , 2012 .

[33]  Ronald K. Mitchell,et al.  Stakeholder Identification and Salience: Dialogue and Operationalization , 1997 .

[34]  Yunli Gao,et al.  A Framework of Industrialized Building Assessment in China Based on the Structural Equation Model , 2018, International journal of environmental research and public health.

[35]  Chengke Wu,et al.  Ecosystem Visualization and Analysis of Chinese Prefabricated Housing Industry , 2016 .

[36]  Tao Yu,et al.  An optimization model for managing stakeholder conflicts in urban redevelopment projects in China , 2019, Journal of Cleaner Production.

[37]  Chi Sun Poon,et al.  Design issues of using prefabrication in Hong Kong building construction , 2010 .

[38]  Kerry London,et al.  An actor–network theory approach to developing an expanded conceptualization of collaboration in industrialized building housing construction , 2017 .

[39]  Tirazheh Zare Garizy,et al.  Modeling project criticality in IT project portfolios , 2018, International Journal of Project Management.

[40]  Qian Wang,et al.  Automated quality assessment of precast concrete elements with geometry irregularities using terrestrial laser scanning , 2016 .

[41]  Hao Hu,et al.  Simulation based multiple disturbances evaluation in the precast supply chain for improved disturbance prevention , 2018 .

[42]  Mehrdad Arashpour,et al.  Analysis of interacting uncertainties in on-site and off-site activities: Implications for hybrid construction , 2016 .

[43]  Stephen O. Ogunlana,et al.  Best practice of prefabrication implementation in the Hong Kong public and private sectors , 2015 .

[44]  Geoffrey Qiping Shen,et al.  Comparing the Performance Quality of Design-Bid-Build and Design-Build Delivery Methods , 2017 .

[45]  Xiangyu Wang,et al.  Analysis of stakeholder relationships in the industry chain of industrialized building in China , 2017 .

[46]  Chi Sun Poon,et al.  The evolution of prefabricated residential building systems in Hong Kong: A review of the public and the private sector , 2009 .

[47]  Chih-Chen Chang,et al.  Automated dimensional quality assurance of full-scale precast concrete elements using laser scanning and BIM , 2016 .

[48]  Vivian W. Y Tam,et al.  Towards adoption of prefabrication in construction , 2007 .