A New Analytical Methodology to Handle Time-Cost Trade-Off Problem With Considering Quality Loss Cost Under Interval-Valued Fuzzy Uncertainty

<p style='text-indent:20px;'>Sustainable development requires scheduling and implementation of projects by considering cost, environment, energy, and quality factors. Using a robust approach, this study investigates the time-cost-quality-energy-environment problem in executing projects and practically indicates its implementation capability in the form of a case study of a bridge construction project in Tehran, Iran. This study aims to take into account the sustainability pillars in scheduling projects and uncertainties in modeling them. To model the study problem, robust nonlinear programming (NLP) involving the objectives of cost, quality, energy, and pollution level is applied with resource-constrained. According to the results, as time diminished, the cost, energy, and pollution initially decreased and then increased, witha reduction in quality. To make the model close to the real world by considering uncertainties, the cost and quality tangibly improved, and pollution and energy consumption declined. We applied the augmented <inline-formula><tex-math id="M1">\begin{document}$ \varepsilon $\end{document}</tex-math></inline-formula>-constraint method to solve the proposed model. According to the result of the research, with regard to the time-cost, time-quality, time-energy, and time-pollution charts, as uncertainty increases, the cost and quality will improve, and pollution and energy will decrease.</p><p style='text-indent:20px;'>The proposed model can be employed for all industrial projects, including roads, construction, and manufacturing.</p>

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“…Assume the following certain linear optimization model with Objective Function (15) and Constraint (16).…”

Section: 2mentioning

confidence: 99%

A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project

Lotfi¹,

Yadegari²,

Hosseini³

et al. 2022

JIMO

104

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“…Through the years, the necessity for enhancing fuzzy sets theory arose as it was more utilized in real-world problems. One of classical fuzzy sets theory's inadequacies happens when an expert is expected to provide an exact opinion in a number in the interval [0, 1] (Davoudabadi, Mousavi, Šaparauskas, & Gitinavard, 2019;Haghighi, Mousavi, Antuchevičienė, & Mohagheghi, 2019;Dorfeshan, Mousavi, Mohagheghi, & Vahdani, 2018). To overcome this issue, several fuzzy extensions have been proposed.…”

Section: Fuzzy Sets Theorymentioning

confidence: 99%

Project Portfolio Selection Problems: A Review of Models, Uncertainty Approaches, Solution Techniques, and Case Studies

Mohagheghi

Mousavi

Antuchevičienė

et al. 2019

Technological and Economic Development of Economy

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Project portfolio selection has been the focus of many scholars in the last two decades. The number of studies on the strategic process has significantly increased over the past decade. Despite this increasing trend, previous studies have not been yet critically evaluated. This paper, therefore, aims to presents a comprehensive review of project portfolio selection and optimization studies focusing on the evaluation criteria, selection approach, solution approach, uncertainty modeling, and applications. This study reviews more than 140 papers on project portfolio selection research topic to identify the gaps and to present future trends. The findings show that not only the financial criteria but also social and environmental aspects of project portfolios have been focused by researchers in project portfolio selection in recent years. In addition, meta-heuristics and heuristics approach to finding the solution of mathematical models have been the critical research by scholars. Expert systems, artificial intelligence, and big data science have not been considered in project portfolio selection in the previous studies. In future, researchers can investigate the role of sustainability, resiliency, foreign investment, and exchange rates in project portfolio selection studies, and they can focus on artificial intelligence environments using big data and fuzzy stochastic optimization techniques.

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“…Type-2 fuzzy sets are most advantageous when denoting the perfect membership function of a fuzzy set becomes complicated (Mendel, 2007). General type-2 fuzzy sets are computationally demanding, and this aspect has made the utilization of interval type-2 FSs more common (Kiliç & Kaya, 2015;Haghighi, Mousavi, Antucheviciene, & Mohagheghi, 2019;Dorfeshan, Mousavi, Mohagheghi, & Vahdani, 2018;Dorfeshan & Mousavi, 2019;Moradi, Mousavi, & Vahdani, 2018). The main goal of this section is to provide the basic knowledge of interval type-2 fuzzy sets.…”

Section: Preliminary Knowledge Of Interval Type 2 Fuzzy Setsmentioning

confidence: 99%

Sustainable Infrastructure Project Selection by a New Group Decision-Making Framework Introducing Moras Method in an Interval Type 2 Fuzzy Environment

Mohagheghi

Mousavi

Antuchevičienė

et al. 2019

International Journal of Strategic Property Management

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Project management is a process that is involved with making important decisions under uncertainty. In project management often the existing data is limited and vague. Sustainable project selection has a multi-criteria evaluation nature which calls for attending to various often conflicting factors under vagueness. To deal with sustainable project selection several important factors should be properly considered. In this paper, in order to provide a new multi-criteria project selection method, a novel last aggregation method is presented. This method has several main novelties. First, to address uncertainty interval type 2 fuzzy sets (IT2FSs) are used. Second, the importance of criteria is investigated by using IT2F entropy. Third, a novel index for decision making is presented that has the merits of ratio system in MOORA and COPRAS, named MORAS. Fourth, the weights of decision makers are computed according to the obtained judgments and the weights are employed to aggregate the results. Fifth, the defuzzification is carried out in the last step of the process by means of a new IT2F ranking method. To present the applicability of the method, it is used in an existing case study in the literature and the outcomes are presented.

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A New Analytical Methodology to Handle Time-Cost Trade-Off Problem With Considering Quality Loss Cost Under Interval-Valued Fuzzy Uncertainty

Cited by 23 publications

References 43 publications

A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project

A robust time-cost-quality-energy-environment trade-off with resource-constrained in project management: A case study for a bridge construction project

Project Portfolio Selection Problems: A Review of Models, Uncertainty Approaches, Solution Techniques, and Case Studies

Sustainable Infrastructure Project Selection by a New Group Decision-Making Framework Introducing Moras Method in an Interval Type 2 Fuzzy Environment

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