Choosing a hybrid car using a hierarchical decision model

Fenwick, David; Daim, Tuğrul U.

doi:10.1504/ijssoc.2011.041266

Cited by 9 publications

(4 citation statements)

References 34 publications

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“…For example, Hamurcu and Eren (2018) introduced an integrated MCDM model that used AHP, TOPSIS, and Goal programming for electric car selection. Another MCDM model was introduced for selecting hybrid cars with the capability to handle different categories of customers (Fenwick & Daim, 2011). Prakash and Mohanty (2017) introduced an integrated DEA and Monte-Carlo simulation framework for use in green car selection.…”

Section: Related Workmentioning

confidence: 99%

An integrated ANP-ELECTRE III decision model applied to eco-friendly car selection

Mumani

Magableh

2021

JER is an international, peer-reviewed journal that publishes f

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The number of green energy options in different fields is growing because of the need for reducing energy consumption and eliminating gas emission. One of these options is the use of eco-friendly cars produced by various manufacturers. Given the many available options and conflicting evaluation criteria, evaluation of such options becomes complex, and different multi-criteria decision-making (MCDM) approaches have been used to select the most suitable car in terms of eco-friendly car selection. Previous research has been somewhat limited with respect to consideration of interdependencies between evaluation criteria and multi-levels of preference. This paper proposes a new integrated MCDM approach with the capability for considering interdependent criteria for eco-friendly car evaluation and different levels of preference. An analytic network process (ANP) will be used to evaluate the levels of importance of interdependent criteria, and ELECTRE III will be modeled to include thresholds of preference. The introduced model, based on twenty-eight evaluation criteria, was demonstrated in a case study dealing with five alternative electric and hybrid cars. The results from this model were compared to a traditional decision-making method and better results were obtained from the model. The model can help users make proper decisions regarding their future car options in a comprehensive manner. Sensitivity analysis showed the robustness of the model under different setups.

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Section: Related Workmentioning

confidence: 99%

An integrated ANP-ELECTRE III decision model applied to eco-friendly car selection

Mumani

Magableh

2021

JER is an international, peer-reviewed journal that publishes f

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“…"CNG buses", "CNG cars", and "4-stroke 2-wheelers cars" were evaluated based on 6 attribute-emission reduction potential, energy saving potential, availability of technology, cost of operation, barriers to implementation, and adaptability of the option. Yavaş et al [23] examined customers' attention in buying a car by using the AHP and ANP 5 methods. Kabak and Uyar [12] presented an integrated ANP-PROMETHEE model for the selection of a new vehicle.…”

Section: Introductionmentioning

confidence: 99%

“…They used vehicle cost, mileage, tail pipe emission, comfortableness and high tank size volume for long drive attributes of their MCDM model. Fenwick and Daim [5] described and analysed a decision making model for selection of a hybrid car. They used a hierarchical decision model.…”

Section: Introductionmentioning

confidence: 99%

Operating window perspective integrated TOPSIS approach for hybrid electrical automobile selection

İç

Şimşek

2019

SN Appl. Sci.

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To reduce vehicle-related environmental pollution, environmental regulations should be taken into account in different levels of sustainable product development process. As a result of the increasingly emitted CO 2 and serious energy shortage electrical or hybrid automobiles are one of the possible alternatives for customers. In this study, an operating window perspective based Taguchi-TOPSIS model is developed for the hybrid electrical automobile selection problem. Operating window is a range of attributes' values that the operating parameters meet the specified functional parameters yielding the best results in economic and technological terms. The operating window's upper and lower boundaries are defined as limits. More than two limit modes usually cannot be characterized by a one-dimensional operating window. After obtaining attribute values for the hybrid electrical automobile alternatives, the TOPSIS method is used for the ranking of the alternatives. The developed selection model is tested on a case study and satisfactory results are obtained.

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“…The implications of this electrification have been a common topic of research in different disciplines over the last years, focusing especially on the question of market development of electric vehicles. A broad spectrum of scientific models exists on this topic (Collantes, 2007;Struben and Sterman, 2008;Walther et al, 2010;van Bree et al, 2010;Friedrich, 2010;Eggers and Eggers, 2011;Zhang et al, 2011;Orbach and Fruchter, 2011;Fenwick and Daim, 2011;Kwon, 2012;Shafiei et al, 2012;Warth et al, 2013;Kieckhäfer et al, 2014). An area of research that has yet been largely neglected is that of future manufacturing strategies for the changing automotive value chain.…”

Section: Introductionmentioning

confidence: 99%

Make-or-buy strategies for electric vehicle batteries—a simulation-based analysis

Huth

Kieckhäfer

Spengler

2015

Technological Forecasting and Social Change

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Choosing a hybrid car using a hierarchical decision model

Cited by 9 publications

References 34 publications

An integrated ANP-ELECTRE III decision model applied to eco-friendly car selection

An integrated ANP-ELECTRE III decision model applied to eco-friendly car selection

Operating window perspective integrated TOPSIS approach for hybrid electrical automobile selection

Make-or-buy strategies for electric vehicle batteries—a simulation-based analysis

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