Development of a Construction Quality Supervision Collaboration System Based on a SaaS Private Cloud

YuPing, Cheng; Cao, Yan; Wei, Ran; Luo, Hui

doi:10.1007/s10846-014-0108-8

Cited by 11 publications

(8 citation statements)

References 6 publications

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“…Moreover, some traditional methods have been further developed for QC, such as Six Sigma (Tchidi et al 2012). Technical improvements have also been made to enhance the efficiency and effectiveness of QA and QC during construction, including information systems (Love, Irani 2003;Cheng et al 2015), BIM (Chen, Luo 2014), thermography (Taylor et al 2013), laser scanning (Bosché 2010), and RFID (Lu et al 2011). TQM is based on the philosophy of continuously improving goods or services, including in construction (Pheng, Teo 2004).…”

Section: Introductionmentioning

confidence: 99%

System Dynamics Model Based on Evolutionary Game Theory for Quality Supervision Among Construction Stakeholders

Guo

Zhang

Yang

2018

Journal of Civil Engineering and Management

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To address the gap, that is, few studies have explored the influence of the participants’ interactions with one another during construction quality supervision, this paper proposes a system dynamics model based on evolutionary game theory to describe the complex and dynamic interactions among tripartite stakeholders in China, including the project owner (PO), construction supervising engineer (CSE), and construction contractor (CC). First, the replicated dynamic equation set is established in terms of expense targets. Second, the equilibrium solutions of the equation set are obtained to test strategy options. The trends of system fluctuations caused by penalty and reward changes are also analyzed. Finally, the stability of the proposed model is improved by integrating a dynamic penalty–reward scenario into the evolutionary strategy of the PO. Simulation results show that: 1) the evolutionary stable strategy does not exist in initial interactions, 2) the degrees of penalty and reward considerably affect the CC’s rate variable, and 3) the dynamic penalty–reward scenario could effectively improve the stability of the proposed model. The unsteadiness of the quality supervision system and the stability control scenario could help in understanding the impact of interactions among stakeholders and provide suggestions for optimizing quality supervision procedures.

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Section: Introductionmentioning

confidence: 99%

System Dynamics Model Based on Evolutionary Game Theory for Quality Supervision Among Construction Stakeholders

Guo

Zhang

Yang

2018

Journal of Civil Engineering and Management

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“…BIM technology offers new approaches to construction quality evaluation; however, unified standards for the development of a quality system are lacking [12], as not all quality information can be integrated into a single model due to different data formats that may be tied to other data resources, such as quality records or design specifications. To overcome this limitation, IFC presents a solution to integrate and standardize all quality information, particularly with respect to user-required data mapping mechanisms [13].…”

Section: Related Studymentioning

confidence: 99%

“…Moreover, by designing this database, a few tables can store all IFC instances without the need to create a table for each entity in IFC; this feature significantly reduces the complexity of the database and improves quality evaluation efficiency. On the contrary, unified standards for the development of a quality system are lacking [12], as not all quality information can be integrated into a single model due to the different data formats which may be linked to other data resources, such as quality records or design specifications. Mazairac and Beetz [18] believed that the large amount of information generated by the integration of models from different disciplines in a common virtual model also increases the size and complexity of data repositories.…”

Section: Related Studymentioning

confidence: 99%

Developing an IFC‐Based Database for Construction Quality Evaluation

Huang

et al. 2018

Advances in Civil Engineering

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Quality evaluation and control are increasingly important concerns in construction projects. Construction quality evaluation, as a systematic method, must be discussed in light of quality information extraction and storage, while a traditional construction quality control program cannot meet these requirements. In moving beyond quality indicators to evaluate quality performance that is comparable across construction entities, two fundamental factors must be considered: quality information standardization and multiquality data integration. The purpose of this study is to extend the interoperability of a construction quality database in the evaluation process by employing the industry foundation classes (IFC) data model. Taking a cast-in-place steel-concrete structure as an example, this study explores the implementation of building information modeling (BIM) in quality management and proposes integrated solutions to improve current quality management processes with the assistance of an IFC-based working environment. To better utilize the performance of the BIM model and database on construction quality control, various BIM-based evaluation frameworks are proposed. Also, this paper discusses how these IFC and neutral network models operate together to facilitate construction quality management. Project participants can better understand quality progress and collaborate more effectively, thanks to a visualized data format. The objective of evaluating the proposed model is to understand the effectiveness of an IFC-based database when implemented in practice. A questionnaire was developed considering the opinions of construction firms and design institutes regarding identified factors. In designing an IFC-based quality database, the method proposed in this study reduces the complexity of the database substantially and improves quality evaluation efficiency.

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“…for example, In paper [1], an SaaS private cloud-based Construction Quality Supervision Collaboration System is introduced with functions such as the quality supervision unit, quality inspection unit and quality acceptance unit, whose targets are to serve construction quality supervision agencies, quality inspection agencies and units involved in on-site construction. Paper [2] discusses the trust model based on past credentials and present capabilities of a cloud resource provider.…”

Section: Related Workmentioning

confidence: 99%

A Hosted on Demand Cloud Based Information Framework for QMS

Yang¹,

Wang²,

Zhou³

2017

dtssehs

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Abstract. In this paper, a hosted on demand cloud based information framework for quality management system is proposed, it offers a customized QMS solution that allow users to access the a robust, secure automated system being enjoyed by hundreds of regulated companies worldwide without having to invest in more expensive infrastructure or employ and train a large internal IT stall. Furthermore, because its quickly deployment over the internet, companies are able to start improving their compliance goals, and reduce time to market immediately.

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Development of a Construction Quality Supervision Collaboration System Based on a SaaS Private Cloud

Cited by 11 publications

References 6 publications

System Dynamics Model Based on Evolutionary Game Theory for Quality Supervision Among Construction Stakeholders

System Dynamics Model Based on Evolutionary Game Theory for Quality Supervision Among Construction Stakeholders

Developing an IFC‐Based Database for Construction Quality Evaluation

A Hosted on Demand Cloud Based Information Framework for QMS

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