A sustainable approach for selecting and timing the urban transportation infrastructure projects in large-scale networks: A case study of Isfahan, Iran

Khayamim, Razieh; Shetab-Boushehrib, Seyyed-Nader; Hosseininasab, Seyyed-Mohammadreza; Karimi, Hadi

doi:10.1016/j.scs.2019.101981

Cited by 14 publications

(8 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Now, regarding the mentioned cases, in the following and in the form of Table 1, to better comprehend and identify the previous studies and research gaps, a comparison and overview of some significant studies and articles in this field have been made with the current research. Nabipoor Afruzi et al [1] , x FOR PEER REVIEW 7 of 34 2] ✓ ✓ ✓ ✓ ✓ al. [33] ✓ ✓ ✓ ✓ al.…”

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Model for Multi-Mode Resource-Constrained Multi-Project Scheduling Problems Considering Supply Management with Sustainable Approach in the Construction Industry under Uncertainty Using Evidence Theory and Optimization Algorithms

Ghoroqi,

Ghoddousi,

Makui

et al. 2023

Buildings

View full text Add to dashboard Cite

In this study, the multi-mode resource-constrained multi-project scheduling problems (MMRCMPSPs) considering supply management and sustainable approach in the construction industry under uncertain conditions have been investigated using evidence theory to mathematical modeling and solving by multi-objective optimization algorithms. In this regard, a multi-objective mathematical model has been proposed, in which the first objective function aims to maximize a weighted selection of projects based on economic, environmental, technical, social, organizational, and competitive factors; the second objective function is focused on maximizing profit, and the third objective function is aimed at minimizing the risk of supply management. Moreover, various components, such as interest rates, carbon penalties, and other implementation limitations and additional constraints, have also been considered in the modeling and mathematical relationships to improve the model’s performance and make it more relevant to real-world conditions and related issues, leading to better practical applications. In the mathematical modeling adopted, the processing time of project activities has been considered uncertain, and the evidence theory has been utilized. This method can provide a flexible and rational approach based on evidence and knowledge in the face of uncertainty. In addition, to solve the proposed multi-objective mathematical model, metaheuristic optimization algorithms, such as the differential evolution (DE) algorithm based on the Pareto archive, have been used, and for evaluating the results, the non-dominated sorting genetic algorithm II (NSGA-II) has also been employed. Furthermore, the results have been compared based on multi-objective evaluation criteria, such as quality metric (QM), spacing metric (SM), and diversity metric (DM). It is worth noting that to investigate the performance and application of the proposed model, multiple evaluations have been conducted on sample problems with different dimensions, as well as a case study on residential apartment construction projects by a contracting company. In this respect, the answers obtained from solving the model using the multi-objective DE algorithm were better and superior to the NSGA-II algorithm and had a more favorable performance. Generally, the results indicate that using the integrated multi-objective mathematical model in the present research for managing and scheduling multi-mode resource-constrained multi-project problems, especially in the construction industry, can lead to an optimal state consistent with the desired objectives and can significantly improve the progress and completion of projects.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

An Integrated Model for Multi-Mode Resource-Constrained Multi-Project Scheduling Problems Considering Supply Management with Sustainable Approach in the Construction Industry under Uncertainty Using Evidence Theory and Optimization Algorithms

Ghoroqi,

Ghoddousi,

Makui

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…Accordingly, the sequence of urban road construction could be obtained. Khayamim, Shetab-Boushehrib et al (2020) proposed a method to simultaneously select and time urban traffic projects based on a two-level mathematical programming model and a two-stage hybrid solution procedure. The proposed method could consider a large transportation network with many candidate projects and choose and schedule projects based on sustainable development.…”

Section: Urban Road Planningmentioning

confidence: 99%

Digital twin enabled sustainable urban road planning

Feng

Broyd

et al. 2022

Sustainable Cities and Society

View full text Add to dashboard Cite

“…(3), ( 4) and ( 5) are the fuzzy objective functions, maximizing total expected profit, minimizing total cost and maximizing preference level of the projects, respectively. Constraint (6) ensures that each project is assigned to at most one period. With the constraint (7), the amount of resources required in each period is calculated.…”

Section: ∑ 𝑥 𝑖𝑡 (𝑇−𝑑 𝑖 +1) 𝑡>0mentioning

confidence: 99%

“…between 200 and 500. Duration of projects is considered U(2,6). Resource requirements are derived in accordance with the U(1,5).…”

mentioning

confidence: 99%

A Fuzzy Approach for Generalized Project Selection and Scheduling Problem with Resource Management

BEKTUR

2022

Aksaray University Journal of Science and Engineering

View full text Add to dashboard Cite

In this study, the problem of project selection and scheduling with resource management is considered project setup times, dynamic project arrivals, priorities and relationship between projects. A fuzzy multi-objective mixed integer linear programming (MILP) model is proposed for the solution of the problem. The classic two-phase fuzzy goal programming (FGP) approach is modified to solve the proposed multi-objective MILP model. The addressed problem is defined over the project selection and scheduling problem of a construction company. The effect of resource management on the project selection and scheduling problem is demonstrated over the generated test problems. Modified two-phase FGP and classic two-phase FGP approaches are compared over test problems. With the use of the modified two-phase FGP approach, additional alternative solutions are found for the problem.

show abstract

A sustainable approach for selecting and timing the urban transportation infrastructure projects in large-scale networks: A case study of Isfahan, Iran

Cited by 14 publications

References 28 publications

An Integrated Model for Multi-Mode Resource-Constrained Multi-Project Scheduling Problems Considering Supply Management with Sustainable Approach in the Construction Industry under Uncertainty Using Evidence Theory and Optimization Algorithms

An Integrated Model for Multi-Mode Resource-Constrained Multi-Project Scheduling Problems Considering Supply Management with Sustainable Approach in the Construction Industry under Uncertainty Using Evidence Theory and Optimization Algorithms

Digital twin enabled sustainable urban road planning

A Fuzzy Approach for Generalized Project Selection and Scheduling Problem with Resource Management

Contact Info

Product

Resources

About