2017
DOI: 10.1515/ace-2017-0043
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Balance of Cost, Time, and Quality Related to Construction Projects Regarding the Reinforced Concrete of Underground Structures using a Meta-Heuristic Algorithm

Abstract: Underground spaces having features such as stability, resistance, and being undetected can play a key role in reducing vulnerability by relocating infrastructures and manpower. In recent years, the competitive business environment and limited resources have mostly focused on the importance of project management in order to achieve its objectives. In this research, in order to find the best balance among cost, time, and quality related to construction projects using reinforced concrete in underground structures… Show more

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Cited by 6 publications
(6 citation statements)
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“…This mutual interdependency was analysed by many researchers, e.g. in terms of time and cost for water supply systems (Zujo et al, 2017) and the balance of cost, time and quality for reinforced concrete (Hosseini et al, 2017). The aspect of project cash flow is also crucial as it allows the assessment of working capital requirements (Maravas and Pantouvakis, 2012).…”
Section: Literature Reviewmentioning
confidence: 99%
“…This mutual interdependency was analysed by many researchers, e.g. in terms of time and cost for water supply systems (Zujo et al, 2017) and the balance of cost, time and quality for reinforced concrete (Hosseini et al, 2017). The aspect of project cash flow is also crucial as it allows the assessment of working capital requirements (Maravas and Pantouvakis, 2012).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Additionally, they developed a shuffled frog-leaping algorithm (SFLA) to solve the problem [12]. Hosseini et al (2017) proposed a multi-objective TCQ trade-off mathematical programming model for an underground project and a sample project with 10 activities was solved by the NSGA-II algorithm. These multi-objective methods obtain the Pareto optimal frontiers with two significant challenges: The Pareto set may not be properly distributed and may be very large which raises the question of how to select a specific solution [13].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Equation ( 12) is the calculated project worth by completing each activity. The parameter w im i is calculated through Equation (13). Equation ( 14) guarantees that the decision variables are binary and positive.…”
Section: Mathematical Programming Modelmentioning
confidence: 99%
“…Several authors have applied modeling techniques such as fuzzy logic (Amiri and Golozari, 2011; Cristobol, 2013); grey numbers (Razavi et al, 2015;Mahdiraji et al, 2016); and genetic algorithms (Hosseini et al, 2018) to address this problem when quality follows a linear scale. Salmasnia et al (2016) use a response surface methodology to find an optimal amount of resources to assign to activities so that project total time and cost are minimized while quality characteristics are maximized.…”
Section: Literature Reviewmentioning
confidence: 99%