A simulation model for investigation of operation of elevator’s up-peak

Shou-sheng, Xiang; Arashpour, Mehrdad; Wakefield, Ron

doi:10.1080/17477778.2019.1604465

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…Sensitivity analysis complements DES modeling to validate results and draw further insight into modeling dynamics (Xiang, Arashpour, & Wakefield, 2019). Sensitivity analysis identifies the input distributions with the most effect on outputs (Benke, Lowell, & Hamilton, 2008).…”

Section: Resultsmentioning

confidence: 99%

Quantitative Analysis of Safety Risks and Relationship with Delayed Project Completion Times

Alkaissy

Arashpour

et al. 2021

Risk Analysis

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Dynamic work environments in construction and civil infrastructure sectors remain susceptible to safety risks. Although previous research has resulted in improvements, there is currently a gap in measuring temporal impacts of safety risks quantitatively. Precise modeling of potential delays caused by safety incidents is vital for efficient management of risks and making informed decisions on project contingency. Toward this aim, the current research adopts a nondeterministic modeling method to simulate and quantify safety incidents and find correlations with project delays. Using a deductive approach, three research questions were formulated, and investigations conducted on Australian data collected from 2016 onwards. Quantitative impacts of safety risks on project completion times were numerically measured. Furthermore, safety risks were ranked based on their significance of temporal impacts on project performance. This paper contributes to the theory of safety management by developing a nondeterministic method to model impacts of safety risks at both industry and project levels. Practical contributions and outcomes can facilitate using machine learning methods to plan proportionate time buffers to address safety risks.

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Section: Resultsmentioning

confidence: 99%

Quantitative Analysis of Safety Risks and Relationship with Delayed Project Completion Times

Alkaissy

Arashpour

et al. 2021

Risk Analysis

Self Cite

View full text Add to dashboard Cite

show abstract

“…Jung et al (2017) used simulation experiments with seven lift options and examined the relationship among system performance, lift car service range and lift traffic type. Xiang et al (2019) proposed a hybrid elevator planning model that combined discrete-event and agent-based simulations to obtain the average waiting and spending time related to up-peak scenarios during a typical day.…”

Section: Optimisation Of Designmentioning

confidence: 99%

Applications of multi-agent systems from the perspective of construction management: A literature review

Xiang

Tan

Shen

et al. 2021

ECAM

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PurposeThe applications of multi-agent systems (MASs) are considered to be among the most promising paradigms for detailed investigations and reliable problem-solving methods, and MAS applications make it possible for researchers and practitioners to better understand complex systems. Although a number of prior studies have been conducted to address complex issues that arise from construction projects, few studies have summarised the applications and discussed the capacity of MASs from the perspective of construction management. To fill the gap, this paper provides a comprehensive literature review of MAS applications from the perspective of construction management.Design/methodology/approachWeb of Science and Scopus are the most commonly used international databases in conducting the literature reviews. A total of 86 relevant papers published in SCI-Expanded, SSCI and Ei Compendex journals related to the application of MASs from the perspective of construction management are selected to be analysed and discussed in this paper.FindingsBased on the 86 collected publications, the utilisations of MASs to support the management of the supply chain and the improvement of project performance are identified from the perspective of construction management, the characteristics and barriers of current MAS applications are analysed, a framework for developing agent-based models to address complex problems is proposed, and future research directions of MAS applications are discussed.Originality/valueThis review can serve as a useful reference for scholars to enhance their understanding of the current research and guide future research on MASs. The proposed framework can help build agent-based models to address complex problems in construction management.

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A simulation model for investigation of operation of elevator’s up-peak

Cited by 2 publications

References 10 publications

Quantitative Analysis of Safety Risks and Relationship with Delayed Project Completion Times

Quantitative Analysis of Safety Risks and Relationship with Delayed Project Completion Times

Applications of multi-agent systems from the perspective of construction management: A literature review

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