Schedule risk modeling in prefabrication housing production

Li, Clyde Zhengdao; Shen, Geoffrey Qiping; Xu, Xiaoyong; Xue, Fan; Sommer, L. A.; Luo, Lizi

doi:10.1016/j.jclepro.2016.11.028

Cited by 77 publications

(78 citation statements)

References 51 publications

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“…(3) Supply chain integration and management (blue nodes): focus on the internal integration and external integration. The former aims to improve the interests of all stakeholders, while the latter focuses on the cooperation and communication [57]. Much of the research is based on the Hong Kong case.…”

Section: Abstract Co-occurrence Experimentsmentioning

confidence: 99%

A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

2020

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Prefabricated construction (PC), with the characteristics of green, environmentally friendly, energy saving and high production efficiency, is attracting more and more attention from all over the world. Supply chain management is closely related to the application efficiency of PC, but only in the last three years has this interdisciplinary research received due attention. The prefabricated construction supply chain management (PCSCM) have not received enough attention. Especially recently, the related literature shows explosive growth. This paper adopted the method of systematic literature review through the tool of bibliometric statistics. And we reviewed 152 articles from 2001 to 2018, with the goal of understanding the current situation, trends, and gaps in PCSCM research, and a framework is proposed to promote its development. First, the study discussed the four themes of clustering, concentrating mainly on strategic research and project evaluation, PC supply chain process design and optimization, supply chain integration and management, and the application of advanced technology. Then, the research gaps and conceptual development framework to promote PCSCM were reported. Only through the coordinated development of technology, market circumstances, and decision-making level of participants, can the PCSC form an integrated whole, so as to optimize the efficiency and sustainability of prefabricated construction industry and improve its level.

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Section: Abstract Co-occurrence Experimentsmentioning

confidence: 99%

A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

2020

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“…- lated to identification, cause-effect and their analysis (Choudhry et al, 2014;Shen et al, 2017;Xu et al, 2018); -Schedule optimization algorithms and models: A number of CPS optimization algorithms have been studied to solve multiple CPS problems, either single objective or multiple objectives, with single or multiple constraints such as genetic algorithm (Long & Ohsato, 2009;Zou et al, 2016), fuzzy stochastic network (Radziszewska-Zielina et al, 2017), Monte Caro simulation (Indhu & Farhan, 2015), fuzzy mathematical models (Castro-Lacouture et al, 2009), constraint programming, linear programming, and symbiotic organisms search (Cheng et al, 2016); -CPS emerging technologies: CPS emerging technologies have been examined in previous studies such as 4D-BIM (Mirzaei et al, 2018) to detect time-space problems, geographical information system (GIS) (Bansal & Pal, 2009) to identify logical error and missed activities, integration of BIM with primavera (Subramani & Ammai, 2018) to manage risks and BIM schedule (Chen et al, 2011;Ding et al, 2015) to assign crew and other resources; -Resource scheduling: One of the most research areas in CPS is to solve resource constrained scheduling problems (Christodoulou et al, 2012;Giran et al, 2017). It includes but not limited to, resource allocation (Khanzadi et al, 2016), resource levelling (El-Rayes & Jun, 2009), resource utilization (Siu et al, 2016); -Lean project scheduling: The application of lean principle (e.g.…”

Section: Science Mapping Of Co-occurrence Of Abstractmentioning

confidence: 99%

“…A Monte Carlo simulation technique conducted by Liu et al (2015) indicated that geological risks have high level of risks on tunnel boring machine during design phase. Poor communication between resource planning units, inconsistent information flow in logistics planning system due to human errors probability, precast element delivery delay, and poor information between designer and producer have been identified as CPS risks via Monte Carlo simulation in the production of prefabrication houses in Hong Kong (Shen et al, 2017). Furthermore, Xu et al (2018) indicated that performing various sensitivity and uncertainty analysis helps for the precise prediction of unknown uncertainties and risks which may cause project delay during an execution of the projects.…”

Section: Identifying and Quantifying Schedule Risks And Uncertaintiesmentioning

confidence: 99%

“…Developing a robust construction project schedule (CPS) is one of the major factors towards of construction projects' success. However, meeting project schedule is being challenged due to a number of factors such as project schedule reliability (Gannon et al, 2012), choice of CPS methods (Abou-Ibrahim et al, 2019;Xu et al, 2018), complexity of projects (Abou-Ibrahim et al, 2019), probable existence of schedule risks and risk prediction capability (Choudhry et al, 2014;Liu et al, 2015;Luu et al, 2009;Shen et al, 2017;Soto Ramírez et al, 2018), project finance (Larsen et al, 2016), extent of project team collaboration (Sinesilassie et al, 2017) and other factors. Previous studies (Bakry et al, 2016;Ghoddousi et al, 2017;Russell et al, 2013Russell et al, , 2014 indicated that providing management reserve (such as providing an allowable buffer time) helps to manage prominent risks and uncertainties.…”

Section: Introductionmentioning

confidence: 99%

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Scientometric Review of Construction Project Schedule Studies: Trends, Gaps and Potential Research Areas

Derbe

et al. 2020

Journal of Civil Engineering and Management

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Scheduling plays a fundamental role in construction projects’ success and thus has drawn attention from both academic researchers and industry practitioners. A large number of research articles tend to solve emerging challenges in construction project schedule (CPS). Therefore, there is a strong need of systematic review on existing studies. In this study, a total of 332 articles were retrieved from Scopus database using title, abstract and keywords with respect to CPS and filtered by document type, language type and abstract content. In particular, science mapping approach was adopted to analyse selected journal articles. These articles were examined using three sequential processes, including bibliometric search, scientometric analysis, and in-depth qualitative discussion. It could demonstrate the most influential journals, researchers, published articles, and active countries/regions in this area. In addition, major CPS knowledge areas were identified and summarized as CPS constructability, applications of variety of CPS methods, CPS optimization models and algorithms, identification and quantification of schedule risks and uncertainties, CPS performance management, and adopting new emerging CPS technologies and methods. Furthermore, knowledge gaps and future potential research directions were also discussed in detail. Finally, a comprehensive CPS framework was proposed as a sound reference in future research.

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“…Therefore, Li et al[17] employed a social network analysis to recognise and investigate the underlying network of stakeholder-associated risk factors in prefabrication housing construction projects. They emphasised the information-related risks and indicated that the design information gap between designers and manufacturers may result in frequent delay in projects [19]. Moreover, the efficient manufacturing of building elements is vital to delivery deadlines.…”

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confidence: 99%

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

Yan

et al. 2018

Applied Sciences

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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. developed to meet the requirements of sustainability and housing demand in China [14]. China has also embarked on several initiatives to promote prefabrication [15]. However, in comparison to conventional on-site construction, there are also notable disadvantages that should be considered, such as structural changeability, transportation restrictions, and span limits [16]. In particular, prefabricated concrete construction requires increased and more detailed coordination at all stages of a project (because of more construction phases, more complicated construction techniques, and more stakeholders), which increases the difficulty in progress monitoring and planning for construction management tasks.Unlike the traditional construction methods, researchers and engineers are advised to pay particular attention to schedule risks of prefabrication construction projects before the construction stage [17]. For example, Li et al.[18] utilised a fuzzy analytical hierarchy process approach for ranking project risks associated with modular construction. The results revealed that the control schedule in the design stage is an important factor with respect to project duration owing to a relatively high weighting value. Also, few studies have investigated stakeholder-related risks and their cause-and-effect relationships prior to the construction stage. Therefore, Li et al.[17] employed a social network analysis to recognise and investigate the underlying network of stakehol...

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Schedule risk modeling in prefabrication housing production

Cited by 77 publications

References 51 publications

A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview

Scientometric Review of Construction Project Schedule Studies: Trends, Gaps and Potential Research Areas

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

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