journal article·2018-11-21Open access

Assessing and Prioritising Delay Factors of Prefabricated Concrete Building Projects in China

Yingbo Ji, Lin Qi, Yan Liu, Xinnan Liu, Hong Xian Li, Yan Li

Applied Sciences· Volume 8· Issue 11

Abstract

Prefabricated construction has been widely accepted as an alternative to conventional cast-in-situ construction, given its improved performance. However, prefabricated concrete building projects frequently encounter significant delays. It is, therefore, crucial to identify key factors affecting schedule and explore strategies to minimise the schedule delays for prefabricated concrete building projects. This paper adopts the decision-making trial and evaluation laboratory (DEMATEL) model and analytic network process (ANP) method to quantify the cause-and-effect relationships and prioritise the key delay factors in terms of their importance in the Chinese construction industry. The DEMATEL model evaluates the extent to which each factor impacts other factors. The quantified extents are then converted into a prioritisation matrix through ANP. The delay factors of prefabricated construction projects are selected and categorised based on a literature review and an expert interview. Questionnaires are then implemented to collect the data. The results reveal that the issue of inefficient structural connections for prefabricated components is found to be the most significant factor and most easily affected by other delay factors. This research also suggests prioritising major delay factors, such as ‘lack of communication among participants’ and ‘low productivity’, in the Chinese construction industry during scheduling control. Overall, this research contributes an assessment framework for decision making in the scheduling management of prefabricated construction.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Construction Project Management and Performance · BIM and Construction Integration · Recycled Aggregate Concrete Performance

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Civil Engineering, North China University of Technology, Beijing 100043, China

School of Architecture and Built Environment, Deakin University, Geelong 3220, Australia

Funding

North China University of Technology · The Ministry of Science and Technology of the People's Republic of China

References (77)

Show source-provided references
1. Smit, R.E. (2014). Off-Site Construction Implementation Resource: Off-Site and Modular Construction Explained. Off-Site Construction Council, National Institute of Building Sciences.
2. Prefabricated construction enabled by the Internet-of-Things10.1016/j.autcon.2017.01.006 ↗
3. Optimizing decisions in advanced manufacturing of prefabricated products: Theorizing supply chain configurations in off-site construction10.1016/j.autcon.2017.08.032 ↗
4. Lean and agile integration within offsite construction using discrete event simulation: A systematic literature review10.1108/CI-09-2014-0043 ↗
5. Offsite Manufacturing Construction: A Big Opportunity for Housing Delivery in Nigeria10.1016/j.proeng.2014.10.557 ↗
6. Framework for modeling operational uncertainty to optimize offsite production scheduling of precast components10.1016/j.autcon.2017.10.026 ↗
7. Best practice of prefabrication implementation in the Hong Kong public and private sectors10.1016/j.jclepro.2014.09.045 ↗
8. Critical review of the research on the management of prefabricated construction10.1016/j.habitatint.2014.04.001 ↗
9. Benefit evaluation for off-site production in construction10.1080/01446190500184444 ↗
10. Pacheco-Torgal, F., Granqvist, C.-G., Jelle, B.P., Vanoli, G.P., Bianco, N., and Kurnitski, J. (2017). Cost-Effective Energy Refurbishment of Prefabricated Buildings in Serbia. Cost-Effective Energy Efficient Building Retrofitting, Woodhead Publishing. Chapter 16.10.1016/B978-0-08-101128-7.00001-0 ↗
11. Minunno, R., O’Grady, T., Morrison, G., Gruner, R., and Colling, M. (2018). Strategies for Applying the Circular Economy to Prefabricated Buildings. Buildings, 8.10.3390/buildings8090125 ↗
12. Pacheco-Torgal, F., Cabeza, L.F., Labrincha, J., and de Magalhães, A. (2014). 18-Assessing the sustainability of prefabricated buildings. Eco-efficient Construction and Building Materials, Woodhead Publishing.
13. Sayigh, A. (2019). Assessment of Cardboard as an Environment-Friendly Wall Thermal Insulation for Low-Energy Prefabricated Buildings. Sustainable Building for a Cleaner Environment: Selected Papers from the World Renewable Energy Network’s Med Green Forum 2017, Springer International Publishing.
14. Barriers to promoting prefabricated construction in China: A cost–benefit analysis10.1016/j.jclepro.2017.10.171 ↗
15. Unlocking the green opportunity for prefabricated buildings and construction in China10.1016/j.resconrec.2018.08.025 ↗
16. Fenner, A.E., Razkenari, M., Hakim, H., and Kibert, C.J. (2017, January 1–3). A Review of Prefabrication Benefits for Sustainable and Resilient Coastal Areas. Proceedings of the 6th International Network of Tropical Architecture Conference, Tropical Storms as a Setting for Adaptive Development and Architecture, Gainesville, FL, USA.
17. Schedule risks in prefabrication housing production in Hong Kong: A social network analysis10.1016/j.jclepro.2016.02.123 ↗
18. Risk identification and assessment of modular construction utilizing fuzzy analytic hierarchy process (AHP) and simulation10.1139/cjce-2013-0013 ↗
19. Schedule risk modeling in prefabrication housing production10.1016/j.jclepro.2016.11.028 ↗
20. Simulation-Based Multiagent Approach for Scheduling Modular Construction10.1061/(ASCE)CP.1943-5487.0000262 ↗
21. Salama, T., Salah, A., and Moselhi, O. (July, January 28). Integration of Offsite and Onsite Schedules in Modular Construction. Proceedings of the 34th International Symposium on Automation and Robotics in Construction, International Association for Automation & Robotics in Construction, Taipei, Taiwan.
22. Major Barriers to Off-Site Construction: The Developer’s Perspective in China10.1061/(ASCE)ME.1943-5479.0000246 ↗
23. Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies10.1016/j.asoc.2014.01.003 ↗
24. A Single DEA-based Indicator for Assessing the Multiple Negative Effects of Project Risks10.1016/j.procs.2016.07.074 ↗
25. Safety risk assessment using analytic hierarchy process (AHP) during planning and budgeting of construction projects10.1016/j.jsr.2013.05.003 ↗
26. Enterprise risk management: A DEA VaR approach in vendor selection10.1080/00207540903051684 ↗
27. Firm-level outsourcing decision making: A balanced scorecard-based analytic network process model10.1016/j.ijpe.2013.04.017 ↗
28. An integrated DEMATEL-ANP approach for renewable energy resources selection in Turkey10.1016/j.ijpe.2016.09.015 ↗
29. Application of fuzzy DEMATEL to develop a cause and effect model of municipal solid waste management in Metro Manila10.1007/s10661-008-0601-2 ↗
30. Using a hybrid MCDM model to evaluate firm environmental knowledge management in uncertainty10.1016/j.asoc.2010.04.006 ↗
31. Kahraman, U.A. (2015). Analysis of interactions between performance indicators with fuzzy decision making approach in healthcare management. J. Intell. Manuf., 1–16.
32. Factors in determining wind farm location: Integrating GQM, fuzzy DEMATEL, and ANP10.1016/j.renene.2013.12.003 ↗
33. Salama, T., Salah, A., and Moselhi, O. (2016, January 18–21). Alternative scheduling and planning processes for hybrid offsite construction. Proceedings of the 33rd International Symposium on Automation and Robotics in Construction, International Association for Automation and Robotics in Construction, Auburn, AL, USA.10.22260/ISARC2016/0021 ↗
34. The ranking of construction management journals10.1080/014461997372953 ↗
35. Causes of delays in Saudi Arabian public sector construction projects10.1080/01446190802541457 ↗
36. Structural equation model for investigating factors affecting delay in Indian construction projects10.1080/01446193.2012.717705 ↗
37. Computerizing ICBF Method for Schedule Delay Analysis
38. Consultants’ Perceptions on Construction Delay Analysis Methodologies
39. Isolated Collapsed But-For Delay Analysis Methodology
40. Preventive Mitigation of Overruns with Project Communication Management and Continuous Learning: PLS-SEM Approach
41. Causes of Construction Delays in Countries with High Geopolitical Risks
42. Weather-Delay Simulation Model Based on Vertical Weather Profile for High-Rise Building Construction
43. Accounting for Transport Times in Planning Off-Site Shipment of Construction Materials
44. Analysis of Causes of Delay and Time Performance in Construction Projects
45. Integrated Approach to Overcome Shortcomings in Current Delay Analysis Practices
46. Method to Implement Delayed Product Differentiation in Construction of High-Rise Apartment Building Projects
47. Contractors perspective toward factors affecting labor productivity in building construction10.1108/ECAM-08-2011-0074 ↗
48. Comparative study of delay factors in Libyan and the UK construction industry10.1108/09699981211277577 ↗
49. Causes of delays in construction industry and comparative delay analysis techniques with SCL protocol10.1108/ECAM-10-2016-0220 ↗
50. The professionals’ perspective on the causes of project delay in the construction industry10.1108/ECAM-03-2016-0085 ↗
51. Risk matrix for factors affecting time delay in road construction projects: Owners’ perspective10.1108/09699981111180917 ↗
52. 4P delays in project management10.1108/ECAM-09-2016-0199 ↗
53. Climate and construction delays: Case study in Chile10.1108/ECAM-02-2015-0024 ↗
54. Aggregation of factors causing cost overruns and time delays in large public construction projects: Trends and implications10.1108/ECAM-09-2015-0135 ↗
55. Phase-based analysis of key cost and schedule performance causes and preventive strategies: Research trends and implications10.1108/ECAM-10-2017-0219 ↗
56. Empirical Study of Factors Influencing Schedule Delays of Public Construction Projects in Burkina Faso10.1061/(ASCE)ME.1943-5479.0000443 ↗
57. Factors Affecting Schedule Delay, Cost Overrun, and Quality Level in Public Construction Projects10.1061/(ASCE)ME.1943-5479.0000391 ↗
58. System Dynamics Approach for Investigating the Risk Effects on Schedule Delay in Infrastructure Projects10.1061/(ASCE)ME.1943-5479.0000472 ↗
59. Decision-Making Model for Selecting the Optimum Method of Delay Analysis in Construction Projects10.1061/(ASCE)ME.1943-5479.0000441 ↗
60. Analyzing Delays of Road Construction Projects in Cambodia: Causes and Effects10.1061/(ASCE)ME.1943-5479.0000467 ↗
61. Fuzzy Assessment Model to Estimate the Probability of Delay in Turkish Construction Projects10.1061/(ASCE)ME.1943-5479.0000261 ↗
62. Causes of Delay in Construction Projects in the Oil and Gas Industry in the Gulf Cooperation Council Countries: A Case Study10.1061/(ASCE)ME.1943-5479.0000248 ↗
63. Understanding Construction Delay Analysis and the Role of Preconstruction Programming10.1061/(ASCE)ME.1943-5479.0000216 ↗
64. Quantification of Delay Factors Using the Relative Importance Index Method for Construction Projects in Turkey10.1061/(ASCE)ME.1943-5479.0000129 ↗
65. Influence of Project and Marketing Management on Delays, Penalties, and Project Quality in Slovene Organizations in the Construction Industry10.1061/(ASCE)ME.1943-5479.0000146 ↗
66. Need for Alternative Research Approaches in Construction Management: Case of Delay Studies10.1061/(ASCE)ME.1943-5479.0000148 ↗
67. Causes of Delay in Road Construction Projects10.1061/(ASCE)ME.1943-5479.0000096 ↗
68. Analysing factors affecting delays in Indian construction projects10.1016/j.ijproman.2011.10.004 ↗
69. Quantifying schedule risk in construction projects using Bayesian belief networks10.1016/j.ijproman.2008.03.003 ↗
70. Effect of organizational culture on delay in construction10.1016/j.ijproman.2016.10.018 ↗
71. Critical path effect based delay analysis method for construction projects10.1016/j.ijproman.2011.06.003 ↗
72. Cost escalation and schedule delays in road construction projects in Zambia10.1016/j.ijproman.2008.07.003 ↗
73. Schedule risk analysis of infrastructure projects: A hybrid dynamic approach10.1016/j.autcon.2018.07.026 ↗
74. Incorporating rework into construction schedule analysis10.1016/j.autcon.2011.04.006 ↗
75. Dehdasht, G., Mohamad Zin, R., Ferwati, M., Mohammed Abdullahi, M.a., Keyvanfar, A., and McCaffer, R. (2017). DEMATEL-ANP Risk Assessment in Oil and Gas Construction Projects. Sustainability, 9.10.3390/su9081420 ↗
76. Seker, S., and Zavadskas, E. (2017). Application of Fuzzy DEMATEL Method for Analyzing Occupational Risks on Construction Sites. Sustainability, 9.10.3390/su9112083 ↗
77. Using BPNN and DEMATEL to modify importance–performance analysis model—A study of the computer industry10.1016/j.eswa.2009.01.062 ↗