Operating window perspective integrated TOPSIS approach for hybrid electrical automobile selection

İç, Yusuf Tansel; Şimşek, Esra

doi:10.1007/s42452-019-1357-8

Cited by 10 publications

(2 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This study confirms that NSFDSS-II as a decision-making technique applied in the DMT can successfully be used in helping the proper decision-making process by related stakeholders. However, future studies to compare the prioritization and selection results with other MCDM methods, such as PROMETHEE [31], TOPSIS [37], and VIKOR [38] can be done. The implementation of social capital concept [39] in the decision-making process, especially in more general cases, also can be considered in the future.…”

Section: Discussion Of the Results Of Developing The New Webbased Dec...mentioning

confidence: 99%

Infrastructure project selection automation using non-structural fuzzy decision support system II

Hansen

Suryadibrata

Hansun

2023

EEJET

View full text Add to dashboard Cite

In this study, we develop a web-based Decision-Making Tool (DMT) based on a four-year research project in building the proper multiple criteria Decision-Making Framework (DMF) for infrastructure project selection automation. Several challenges in selecting and prioritizing infrastructure projects include poor front-end planning, lack of project funding, improper investment, unsustainable development, regulatory barriers, and poor coordination among stakeholders. The Non-Structural Fuzzy Decision Support System II (NSFDSS-II) is chosen as the main method applied in the proposed DMF since it could resolve complex multi-criteria problems, even without sufficient information provided. When developing the DMT, Agile software development method is used since the development cycle can be run in a light and fast manner with iterative and incremental processes. The DMT is successfully developed by using PHP, HTML, and JavaScript which implement the proposed NSFDSS-II method. We further tested the decision results from the DMT by using eight real past infrastructure projects from relevant infrastructure agencies in Indonesia, such as the Ministry of Public Works and Housing (MPWH), the Ministry of Transportation, and the Local Government. The DMT outcomes were compared with the actual implementation status and evaluated by an independent expert. It was found that the decision results from the developed DMT are in accordance with the real implementation status of evaluated projects. The DMT is recommended to be used for infrastructure project selection automation. However, despite of its fast and accurate result, the DMT should be tested on larger number of infrastructure projects in the future

show abstract

Section: Discussion Of the Results Of Developing The New Webbased Dec...mentioning

confidence: 99%

Infrastructure project selection automation using non-structural fuzzy decision support system II

Hansen

Suryadibrata

Hansun

2023

EEJET

View full text Add to dashboard Cite

show abstract

“…Most of researchers analyzed MCDM methods for selection process and proposed various decision-making models for improvement of urban transportation and decision-making processes. In these studies, done various papers to improve urban transportation, to select the best alternative using decision making methods, AHP, TOPSIS, MOORA, VIKOR, PROMETHEE CRITIC-CoCoSo about hybrid electric vehicle (Iç and Şimşek, 2019 ; Khan et al, 2020 ); commercially EVs (Biswas and Das, 2019 ; Biswas et al, 2020 ), electric bus technology (Hamurcu and Eren, 2020a , b , c ; Hamurcu and Eren, 2022 ), alternative vehicle technology selection (Al-Alawi and Coker, 2018 ; Büyüközkan et al, 2018 ), clean energy vehicles technologies (Li et al, 2019 ), and determinaton of materials for sustainable manufacturing in automotive industry (Stoycheva et al, 2018 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study

Hamurcu

Eren

2022

Environ Syst Decis

View full text Add to dashboard Cite

In this paper, we consider the problem of automobile selection for transportation in inner city using a hybrid multicriteria decision making approach. The electric automobiles that are a relatively new concept in the world of the automotive industry, are widely viewed as attractive among its alternatives day by day. Fuel-vehicles produce a lot of carbon emissions that are ejected into our natural atmosphere, leaving us vulnerable to things like pollution and greenhouse gases. So, electric vehicle and automobiles have emerged as a more efficient alternative and these vehicles have been a great step forward to help positively the environment with zero emissions and total energy consumption in their lifecycle. Many companies focus on electric vehicle production with the development of electric vehicle technology. Therefore, the selection process emerges among the various electric automobile technologies for the users. The selection process includes several conflicting factors which are such as economic, technical and technological factors. In the present study, we propose a hybrid approach for electric automobile selection that combines analytic hierarchy process (AHP), technique for order of preference by similarity to ideal solution (TOPSIS) and goal programming (GP) is used to determine the weights to assign to the factors that go into these selection decisions and TOPSIS method is used for preference ranking. These weights founded by AHP are inputted into a GP model to determine the best alternative among the electric automobiles. Finally, the study used three methods TOPSIS, AHP- TOPSIS and AHP-GP for better comparison and evaluation. The most suitable electric automobile is selected among their alternatives by using analytic methods and goal programming.

show abstract

Development of a decision support system to determine engineering student achievement levels based on individual program output during the accreditation process

Yorulmaz

İç

2021

Educ Inf Technol

View full text Add to dashboard Cite

Operating window perspective integrated TOPSIS approach for hybrid electrical automobile selection

Cited by 10 publications

References 21 publications

Infrastructure project selection automation using non-structural fuzzy decision support system II

Infrastructure project selection automation using non-structural fuzzy decision support system II

Multicriteria decision making and goal programming for determination of electric automobile aimed at sustainable green environment: a case study

Development of a decision support system to determine engineering student achievement levels based on individual program output during the accreditation process

Contact Info

Product

Resources

About