A study of literature in modular integrated construction - Critical review and future directions

Abdelmageed, Sherif; Zayed, Tarek

doi:10.1016/j.jclepro.2020.124044

Cited by 99 publications

(64 citation statements)

References 128 publications

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“…The US, UK, Singapore and Sweden also had fair representation. This finding is consistent with other related reviews (Abdelmageed andZayed, 2020, Hosseini et al, 2018), as these territories have appeared on the list of top countries contributing to OSC research.…”

Section: Geospatial Distribution Of Articles On Qm Of Oscsupporting

confidence: 92%

A systematic review of quality management of offsite construction

Botchway

Pan

2022

mocs

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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.

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Section: Geospatial Distribution Of Articles On Qm Of Oscsupporting

confidence: 92%

A systematic review of quality management of offsite construction

Botchway

Pan

2022

mocs

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“…Few studies related to production scheduling have attempted to satisfy the constraints of prefabricated component resources and delivery time [18]. e primary goal of a prefabricated component production plan is to meet customer requirements at the lowest cost.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimization of Flow Shop Scheduling in Precast Concrete Component Production via Mixed‐Integer Linear Programming

Liu

et al. 2021

Advances in Civil Engineering

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The increasing number of prefabrication projects has increased the demand for precast concrete (PC) components. The production cost of PC components significantly affects the development of the precast industry and the progress of prefabrication projects. To reduce the production cost, both the delivery delay time and component storage time must be reduced. Flow-arrangement optimization is generally performed using the genetic algorithm. However, this method cannot always yield a perfect optimal solution. Moreover, the traditional optimization model does not consider the impact of the overtime hours of workers on the project costs. In this study, a mixed-integer linear programming (MILP) model was developed to optimize the production scheduling by minimizing the storage and delay times. The total delay time for the components was reduced by 55.3%, from 3.8 to 1.7 h, and the total storage time for finished components was reduced by 20.3%, from 6.4 to 5.1 h. Then, the use of the MILP model was extended to optimize the production scheduling by minimizing overtime. Finally, the feasibility and effectiveness of MILP were verified by comparing the results. The total overtime decreased by approximately 24.5%, from 11.5 to 9.3 h. It has been demonstrated that the proposed MILP model can achieve a better production sequence with less overtime. The findings of this research can be deployed in optimizing efficiency in the real-life scheduling of production sequence.

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“…To achieve maximum benefits (e.g., avoiding idle time for concurrent work), the module should be manufactured and delivered to the construction site on time. Thus, modular construction requires effective supply chain coordination among offsite manufacturing, logistics, and the onsite construction process [3][4][5]. However, modular construction typically involves complicated, volumetric, and large building components which can cause schedule deviation risks in the supply chain process [5,6].…”

Section: Introductionmentioning

confidence: 99%

Digital Twin for Supply Chain Coordination in Modular Construction

Lee

2021

Applied Sciences

113

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Over the past decades, the construction industry has been attracted to modular construction because of its benefits for reduced project scheduling and costs. However, schedule deviation risks in the logistics process of modular construction can derail its benefits and thus interfere with its widespread application. To address this issue, we aim to develop a digital twin framework for real-time logistics simulation, which can predict potential logistics risks and accurate module arrival time. The digital twin, a virtual replica of the physical module, updates its virtual asset based on building information modeling (BIM) in near real-time using internet of thing (IoT) sensors. Then, the virtual asset is transferred and exploited for logistics simulation in a geographic information system (GIS)-based routing application. We tested this framework in a case project where modules are manufactured at a factory, delivered to the site via a truck, and assembled onsite. The results show that potential logistical risks and accurate module arrival time can be detected via the suggested digital twin framework. This paper’s primary contribution is the development of a framework that mediates IoT, BIM, and GIS for reliable simulation which predicts potential logistics risks and accurate module delivery time. Such reliable risk prediction enables effective supply chain coordination, which can improve project performance and the widespread application of modular construction.

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A study of literature in modular integrated construction - Critical review and future directions

Cited by 99 publications

References 128 publications

A systematic review of quality management of offsite construction

A systematic review of quality management of offsite construction

Optimization of Flow Shop Scheduling in Precast Concrete Component Production via Mixed‐Integer Linear Programming

Digital Twin for Supply Chain Coordination in Modular Construction

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