Two novel FMCDM methods for alternative-fuel buses selection

Vahdani, Behnam; Zandieh, M.; Tavakkoli–Moghaddam, Reza

doi:10.1016/j.apm.2010.09.018

Cited by 75 publications

(34 citation statements)

References 34 publications

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“…The steps involved in PSI methodology are as follows (Maniya and Bhatt, 2010, 2011b, 2013Vahdani et al, 2011;Sawant et al, 2011;Joseph and Sridharan, 2011):…”

Section: Psi Methodsmentioning

confidence: 99%

Selection of cutting-fluids using a novel decision-making method: preference selection index method

Attri

Dev

Kumar

et al. 2014

IJIDS

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This paper presents a simple and systematic multi-criteria decision making methodology to select a cutting fluid for the given application using the preference selection index (PSI) method. In this methodology, cutting fluid is selected for a given machining application without considering relative importance between the selection attributes. Two real time examples are cited from the literature in order to demonstrate and validate the applicability and potentiality of PSI method in solving the cutting-fluid selection problem. It is observed that the relative rankings of the alternative cutting fluid as obtained using PSI method match quite well with those as derived by the past researchers.Reference to this paper should be made as follows: Attri, R., Dev, N., Kumar, K. and Rana, A. (2014) 'Selection of cutting-fluids using a novel decision-making method: preference selection index method', Int.

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“…The steps involved in PSI methodology are as follows (Maniya and Bhatt, 2010, 2011b, 2013Vahdani et al, 2011;Sawant et al, 2011;Joseph and Sridharan, 2011):…”

Section: Psi Methodsmentioning

confidence: 99%

Selection of cutting-fluids using a novel decision-making method: preference selection index method

Attri

Dev

Kumar

et al. 2014

IJIDS

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“…However, producing alternative fuels is among the most impressive advances (Richardson, 2005). Determining the appropriate fuel mode depends on various factors including efficiency, price, and capability among others (Vahdani et al, 2011).…”

Section: Biofuel Vehiclesmentioning

confidence: 99%

Sustainable transportation strategies for decoupling road vehicle transport and carbon dioxide emissions

Velázquez

Munguía

Will

et al. 2015

Management of Environmental Quality: An International Journal

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Purpose – The purpose of this paper is to identify research priorities to guide transportation stakeholders in their practice, education, and research. Design/methodology/approach – A literature review of published, conference proceedings, agency reports, books, and web site documents was conducted, aiming at the identification of the diverging strategies and practices undertaken by transportation stakeholders in order to be able to generate initial meaningful insights about a sustainable transportation system. Findings – Sustainable transportation systems are in certain way a new paradigm where a business-as-usual approach is not possible. Vehicle makers produce more energy efficient vehicles. Nevertheless, fossil fuel is still the predominant source of energy. Regarding the level of carbon dioxide (CO2) emissions, non-motorized transport modes are preferable over motorized transport modes, and public transportation modes preferable to private transportation modes. It is also import to include environmental consideration along the design, construction, maintenance, and operation of the transportation infrastructure. While vehicles powered by alternate fuel such as biofuel, electricity, and/or fuel cell are becoming more popular, shifting to more sustainable transport modes would also require changes on commuter behaviors and individual preferences. Practical implications – The paper discusses the efforts that are underway for decoupling transport and CO2 emissions, being useful for transportation stakeholders to implement or improve the effectiveness of their potential or current sustainability transport initiatives through the identification of strategies, opportunities, and barriers. Originality/value – Although there is plenty of good information about sustainability and transportation modes in literature, most of the articles analyzed focus on specific factors of the whole transportation system. The originality/value of this paper is found in the holistic perspective, here presented, of the state of the art issues that a sustainable transport system would encompass.

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“…Mousavi et al 29 developed a multi-stage decision framework with interval-valued fuzzy sets to solve the decision problems under uncertain conditions. Vahdani et al 30 focused on a hierarchical MCDM method with fuzzysets theory to handle the fuel buses selection problem.…”

Section: Multi-attributes Decision Making Methodsmentioning

confidence: 99%

A new enhanced support vector model based on general variable neighborhood search algorithm for supplier performance evaluation: A case study

Vahdani¹,

Mousavi²,

Tavakkoli–Moghaddam³

et al. 2017

IJCIS

Self Cite

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In sustainable supply chain networks, companies are obligated to have a systematic decision support system in place to help it adopt right decisions at right times. Among strategic decisions, supplier selection and evaluation outranks other decisions in terms of importance due to its long-term impacts. Besides, the adoption of such strategic decision entails exploring several factors that contribute to the complexity of decision making in the supply chain. For the purpose of solving non-linear regression problems, a novel neural network technique known as least squaresupport vector machine (LS-SVM) with maximum generalization ability has successfully been implemented. However, the performance quality of the LS-SVM is recognized to notoriously vary depending on the rigorous selection of its parameters. Therefore, in this paper, a continuous general variable neighborhood search (CGVNS) which is an effective meta-heuristic algorithm to solve the real world engineering continuous optimization problems is proposed to be integrated with LS-SVM. The CGVNS is hybridized in our novel integrated LS-SVM and CGVNS model, to tune the parameters of the LS-SVM to better estimate performance rating of supplier selection and evaluation problem. To demonstrate the improved performance of our proposed integrated model, a real data set from a case study of a supplier selection and evaluation problem is presented in a cosmetics industry. Additionally, comparative evaluations between our proposed model and the conventional techniques, namely nonlinear regression, multi-layer perceptron (MLP) neural network and LS-SVM is provided. The experimental results simply manifest the outperformance of our proposed model in terms of estimation accuracy and effective prediction.

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Two novel FMCDM methods for alternative-fuel buses selection

Cited by 75 publications

References 34 publications

Selection of cutting-fluids using a novel decision-making method: preference selection index method

Selection of cutting-fluids using a novel decision-making method: preference selection index method

Sustainable transportation strategies for decoupling road vehicle transport and carbon dioxide emissions

A new enhanced support vector model based on general variable neighborhood search algorithm for supplier performance evaluation: A case study

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