Predicting TBM utilization factor using discrete event simulation models

Frough, O.; Khetwal, Anuradha; Rostami, Jamal

doi:10.1016/j.tust.2019.01.017

Cited by 32 publications

(9 citation statements)

References 22 publications

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“…DES is an important tool for studying different types of systems which can be used in public services, healthcare, manufacturing, call centres, logistics and many other situations (Chwif et al,2013). DES is primarily defined as a model that simulates events that occur in sequences, describing their influence on other events (Frough et al,2019). According to Allen (2011), DES might enable people to assess their systems and perceive efficiency gains.…”

Section: Discrete-event Simulationmentioning

confidence: 99%

Prediction of Emergency Preparedness Level On-Board Ships Using Discrete Event Simulation: the Case of Firefighting Drill

Tac

Celik

2022

Trans. Marit. Sci.

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This paper proposes a hybrid approach, including Fuzzy Dematel (FD) integrated with Discrete Event Simulation (DES), to predict emergency preparedness levels on-board ships. The FD used critical factors that affect emergency preparedness to conduct a DES based on real firefighting drill records collected from 45 merchant ships. The simulation results showed the average duration of on-board drills in ideal conditions (27.47 min.), in the worst-case scenario (51.49 min.), for Ship A (29.99 min.), and Ship B (28.12 min.). Based on the findings, recovery actions linked to the factors have been recommended to promote on-board implementation. The proposed model is of great importance to shore-based managers, allowing them to monitor the emergency preparedness level of the fleet continuously, even during pandemics. Further studies are planned to develop a remote monitoring system that would digitalize the existing response procedures in emergency situations.

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Section: Discrete-event Simulationmentioning

confidence: 99%

Prediction of Emergency Preparedness Level On-Board Ships Using Discrete Event Simulation: the Case of Firefighting Drill

Tac

Celik

2022

Trans. Marit. Sci.

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“…4.1 Discrete event simulation and factor effect analysis Discrete event simulation is used to analyze systems and processes that are complex and in cases where the analytical approaches do not provide reliable results (Frough et al, 2019). In casualty management, emergency personnel have to evaluate and validate the decision rules and effective policies.…”

Section: Application Studymentioning

confidence: 99%

Simulation analysis of critical factors of casualty transportation for disaster response: a case study of Istanbul earthquake

Caglayan

Satoğlu

2021

IJDRBE

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Purpose The purpose of this paper is to statistically assess the effects of the design factors including usage of data-driven decision support tool (DST), classification of patients (triage), prioritization based on vital scores of patients, number of ambulances and hospital selection rules, on the casualty transportation system’s performance in large-scale disasters. Besides, a data-driven DST for casualty transportation is proposed to enhance the casualty survival and ambulance transportation times during the disaster response stage. Design/methodology/approach In this study, the authors applied simulation and statistical analysis to evaluate the effects of usage of data-driven DST, classification of patients (triage), prioritization of the patients based on vital scores, number of ambulances and hospital selection rules, on the patient survival and transportation time of the casualty transportation system. An experimental design was made, and 16 scenarios were formulated. Simulation models were developed for all scenarios. The number of unrecoverable casualties and time-spent by the casualties until arriving at the hospital was observed. Then, a statistical analysis was applied to the simulation results, and significant factors were determined. Findings Utilization of the proposed DST was found to improve the casualty transportation and coordination performance. All main effects of the design factors were found statistically significant for the number of unrecoverable casualties. Besides, for the Time spent Until Arrival of T1-Type Casualty at the Hospital, all of the main factors are significant except the number of ambulances. Respiratory rate, pulse rate, motor response score priority and hospital selection rule based on available hospital capacities must be considered to reduce the number of unrecoverable casualties and time spent until arrival of the casualties at the hospitals. Originality/value In this study, the factors that significantly affect the performance of the casualty transportation system were revealed, by simulation and statistical analysis, based on an expected earthquake case, in a metropolitan city. Besides, it was shown that using a data-driven DST that tracks victims and intends to support disaster coordination centers and medical staff performing casualty transportation significantly improves survival rate of the victims and time to deliver the casualties. This research considers the whole systems’ components, contributes to developing the response stage operations by filling gaps between using the data-driven DST and casualty transportation processes.

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“…Within recent years, different aspects of tunnel projects were incorporated into simulation models. For instance, Frough et al (2019) Despite the evident advantages of simulation in site layout planning, its maximum potential has not yet been employed within this domain. Aleisa and Lin (2005) believe that two schools of thought, "layout then simulation" and "simulation then layout," have been followed for using simulation in site layout planning.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Within recent years, different aspects of tunnel projects were incorporated into simulation models. For instance, Frough et al (2019) used simulation to predict TBM utilization factor and advance rate. Similarly, Likhitruangsilp and Ioannou (2003) developed a simulation-based stochastic model for estimating the time and cost performance of tunnel projects.…”

Section: Literature Reviewmentioning

confidence: 99%

A simulation-based decision support tool for integrating site layout and construction planning of tunneling projects

RazaviAlavi

AbouRizk

2021

JEDT

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Purpose Integrating construction and site layout planning in mechanized tunnel infrastructure projects is essential due to the mutual impacts of construction planning and site layout decisions. Simulation can incorporate site layout planning and construction planning of tunneling projects in a unified environment. However, simulation adoption by industry practitioners has remained relatively limited due to the special skills required for building and using simulation models. Therefore, this paper aims to create a simple-to-use simulation tool that supports site layout and construction operation planning of tunneling projects. This tool intends to promote the simulation application in site layout planning. Design/methodology/approach The current paper proposes simulation as a decision support tool (DST) to provide an integrated environment for modeling tunnel construction operations, site layout and capturing the mutual impacts. A special purpose simulation (SPS) tool was customized and developed for typical mechanized tunneling projects, by tunnel boring machines, to facilitate building the model and allow access to users with limited simulation knowledge. Findings The results show that the developed SPS tool is of great assistance to construction industry practitioners to analyze a variety of site layout and construction plan scenarios and make informed decisions based on its comprehensive and intuitive outputs. Originality/value The main contribution of this research is to promote simulation application in site layout planning of tunneling projects through the development of a simple-to-use tool, which has sufficient details for site layout planning and constraints. The developed DST enables planners to make decisions simultaneously on the site layout, other construction planning variables and identify the most efficient plan.

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Predicting TBM utilization factor using discrete event simulation models

Cited by 32 publications

References 22 publications

Prediction of Emergency Preparedness Level On-Board Ships Using Discrete Event Simulation: the Case of Firefighting Drill

Prediction of Emergency Preparedness Level On-Board Ships Using Discrete Event Simulation: the Case of Firefighting Drill

Simulation analysis of critical factors of casualty transportation for disaster response: a case study of Istanbul earthquake

A simulation-based decision support tool for integrating site layout and construction planning of tunneling projects

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