Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO

Fallah-Mehdipour, Elahe; Bozorg‐Haddad, Omid; Tabari, Mahmoud Mohammad Rezapour; Mariňo, Miguel A.

doi:10.1016/j.eswa.2011.08.139

Cited by 108 publications

(24 citation statements)

References 9 publications

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“…Deb et al [50] expressed that the performance of NSGA-II in is much better in compared with other multi-objective optimizers. Fallah-Mehdipour et al [51] demonstrated NSGA-II is more successful to provide optimum solution in comparison with multi-objective particle swarm optimization (MOPSO). In order to resolve the model, the non-dominated sorting genetic algorithm II (NSGA-II) is utilised.…”

Section: Problem Definition and Modellingmentioning

confidence: 99%

Development of closed–loop supply chain network in terms of corporate social responsibility

Pedram

Yusoff

et al. 2017

PLoS ONE

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Due to the rise in awareness of environmental issues and the depletion of virgin resources, many firms have attempted to increase the sustainability of their activities. One efficient way to elevate sustainability is the consideration of corporate social responsibility (CSR) by designing a closed loop supply chain (CLSC). This paper has developed a mathematical model to increase corporate social responsibility in terms of job creation. Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. A proposed multi-objective mixed-integer linear programming (MILP) model was solved with non-dominated sorting genetic algorithm II (NSGA-II). Fuzzy set theory was employed to select the best compromise solution from the Pareto-optimal solutions. A numerical example was used to validate the potential application of the proposed model. The results highlight the effect of CSR in the design of CLSC.

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Section: Problem Definition and Modellingmentioning

confidence: 99%

Development of closed–loop supply chain network in terms of corporate social responsibility

Pedram

Yusoff

et al. 2017

PLoS ONE

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“…Chang and Chang (2009) applied NSGA-II to examine the operation of a multi-reservoir system in northern Taiwan. Fallah-Mehdipour et al (2012) employed NSGA II and multi-objective particle swarm optimization (MOPSO) as optimization tools to solve two construction project management problems and demonstrated that NSGA-II is more successful in solving these problems than the MOPSO algorithm. Ahmadi et al (2014) employed a meta-heuristic, multi-objective optimization algorithm, named NSGA-II, to extract optimal operation policies of a single-reservoir system by maximizing the reliability and minimizing the vulnerability of hydropower generation.…”

Section: Introductionmentioning

confidence: 99%

Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II

2016

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The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the nondominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multireservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem.

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“…An example of this is the construction project outcome that may be measured in terms of time, cost and quality achieved (Holt, Olomolaiye, & Harris, 1995). Commonly, the time-cost trade-off problem is a known as bi-objective problem in the field of project management where quality has been considered as an objective which is improved by increasing the cost of the project (Fallah-Mehdipour, Bozorg Haddad, Rezapour Tabari, & Mariño, 2012).…”

Section: State Of the Artmentioning

confidence: 99%

Choosing by Advantages; Benefits Analysis and Implementation in a Case Study, Colombia

Cortes¹,

Ponz-Tienda²,

Delgado³

et al. 2018

26th Annual Conference of the International Group for Lean Construction

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There are many methods of multicriteria decision analysis (MCDA), each one with properties and benefits. In the Architecture, Engineering, and Construction (AEC) sector most of the time, the decision-making involve different interest of the stakeholders of the projects, must of the times applying methods with the focus on the result. This paper presents a case study of a new University's facility construction that compares the traditional decision-making approach used in the design-bid-build procurement method of AEC industry in Colombia with an MCDA approach. Choosing By Advantages (CBA) has been used to analyse the reasons that could help explain why the subcontractor of a project construction was not meeting the client's expectations during project execution. Results include a discussion of main differences between these decision methods, the main difference is that in traditional decision-making approach the main criterion was cost while in the CBA was value. Consequently, the method's results were different for the alternatives.

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Extraction of decision alternatives in construction management projects: Application and adaptation of NSGA-II and MOPSO

Cited by 108 publications

References 9 publications

Development of closed–loop supply chain network in terms of corporate social responsibility

Development of closed–loop supply chain network in terms of corporate social responsibility

Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II

Choosing by Advantages; Benefits Analysis and Implementation in a Case Study, Colombia

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