A framework for simulating industrial construction processes

Sadeghi,; Fayek,

doi:10.1109/wsc.2008.4736347

Cited by 10 publications

(6 citation statements)

References 8 publications

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“…In this sense, powerful data models like the object oriented one and the flourishing Building Information Modeling (BIM) are being used in relation to different construction issues (Yu and Adeli, ; Chuang and Adeli, ; Adeli and Yu, ; Adeli and Kao, ; Karim and Adeli, ; Yan and Ma, a; Cho et al., ). Other well‐known technologies, such as GIS (Qin and Faber, ; Borrmann et al., 2014; Karan et al., ) are used for visualization (Khosrowshahi et al., ) and simulation (Sadeghi and Fayek, ; Lim et al., ).…”

Section: Literature Reviewmentioning

confidence: 99%

An Approach for the Automatic Classification of Work Descriptions in Construction Projects

Martínez-Rojas

Marín

Vila

2015

Computer aided Civil Eng

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Section: Literature Reviewmentioning

confidence: 99%

An Approach for the Automatic Classification of Work Descriptions in Construction Projects

Martínez-Rojas

Marín

Vila

2015

Computer aided Civil Eng

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“…To overcome such challenges, special purpose simulation (SPS) has been developed to facilitate building simulation models for users, even those with limited simulation knowledge, and promote the application of simulation within the industry. In the past, SPS has been customized for varying types of construction projects, such as earth moving (Hajjar and AbouRizk, 1996; Siadat and Ruwanpura, 2013), aggregate production plants (Hajjar and AbouRizk, 1998), construction site dewatering (Hajjar et al , 1998), supply chain (Petrovic, 2001; Ebrahimy et al , 2011b), industrial fabrication (Sadeghi and Robinson Fayek, 2008), construction noise prediction (Gannoruwa and Ruwanpura, 2007) and bridge construction (Marzouk et al , 2008).…”

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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“…Then, the spool is produced into the final product by performing the position welding process. The final fitting and position welding are usually performed in the same station [57]. After the final fitting and welding, the quality check process is carried out to ensure the quality of the welds.…”

Section: Phase 1: Developing the Simulation Modelmentioning

confidence: 99%

A multi-criteria optimization framework for industrial shop scheduling using fuzzy set theory

Rokni

Fayek

2010

ICA

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The percentage of shop fabrication, including pipe spool fabrication, has been increasing on industrial construction projects in the past years. Industrial fabrication has a great impact on construction projects due to the fact that the productivity is higher in a controlled environment than in the field, and therefore time and cost of construction projects are reduced by making use of industrial fabrication. Effective planning and scheduling of industrial fabrication processes is important for the success of construction projects. Dispatching rules are among the common methods for optimizing and improving the performance of complicated systems such as industrial fabrication shops. However, the performance of dispatching rules varies under different operating conditions and scenarios, such as changes in processing times of jobs (e.g., spools, modules), and changes in the system's configurations (e.g., number of stations and resources on the shop floor in pipe spool fabrication). This paper focuses on developing a new framework for optimizing shop scheduling, particularly pipe spool fabrication shop scheduling, which uses the Pareto-optimality concept combined with fuzzy set theory for multi-criteria (i.e., multi-objective) optimization. The proposed framework makes it possible to capture uncertainty of a pipe spool fabrication shop while accounting for linguistic vagueness of the decision makers' preferences, using simulation modeling and fuzzy set theory. The implementation of the proposed framework is discussed using a real case study of a pipe spool fabrication shop.

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A framework for simulating industrial construction processes

Cited by 10 publications

References 8 publications

An Approach for the Automatic Classification of Work Descriptions in Construction Projects

An Approach for the Automatic Classification of Work Descriptions in Construction Projects

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

A multi-criteria optimization framework for industrial shop scheduling using fuzzy set theory

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