A Hybrid Approach using AHP-TOPSIS for Analyzing e-SCM Performance

Tyagi, Mohit; Kumar, Pradeep; Kumar, Dinesh

doi:10.1016/j.proeng.2014.12.463

Cited by 52 publications

(28 citation statements)

References 13 publications

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“…TOPSIS method is used for finding ideal solutions in these problems [12]. In order to solve the drawbacks and critics of the AHP, TOPSIS method is combined with AHP to produce the best solutions to difficult and complex MCDM problems such as performance analyzing [13], spaceflight planning [14], cotton quality determination [15] and agent-based recreational fishing [16]. In these studies, the optimized solutions are provided by combined AHP-TOPSIS methods effectively.…”

Section: Methodsmentioning

confidence: 99%

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AHP-TOPSIS Method for Learning Object Metadata Evaluation

İnce¹,

Yi̇ği̇t²,

Işık³

2017

IJIET

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Abstract-Increasing usage of computers in educational systems such as web based learning systems cause huge e-content needs. In this context, Learning Objects (LOs), stored in Learning Object Repositories (LORs), are used to produce e-content and other educational materials. Evaluation and selection of LOs are difficult and time consuming process when LO and their descriptive metadata numbers are high. Therefore, LO selection process is considered as a multi criteria decision making (MCDM) problem. In this study, analytic hierarchy process -technique for order of preference by similarity to ideal solution (AHP-TOPSIS) methods are combined for selection of LOs from web-based Intelligent Learning Object Framework LOR that is called ZONESA. The results of the system, used in a real case study, showed that the proposed system can be used effectively to produce appropriate content using LO metadata.

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Section: Methodsmentioning

confidence: 99%

“…Step 10: TOPSIS calculations are performed [13] as: Normalize the matrix A ij to get N ij matrix by the formula given as ∑ where m is LO count. Technology, Vol.…”

mentioning

confidence: 99%

AHP-TOPSIS Method for Learning Object Metadata Evaluation

İnce¹,

Yi̇ği̇t²,

Işık³

2017

IJIET

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“…Estudos, teóricos e aplicados, tem utilizado o metodo TOPSIS para analisar o transporte automotivo ( Youse i and Hadi-Vencheh, 2010; Kim et al, 2011;Xie et al, 2013;Tyagi et al, 2014;Lima Junior et al, 2015;Azizi et al, 2015;Puthanpura et al, 2015;Yang et al, 2015;Vinodh et al, 2016). Entretanto, no que concerne a avaliaçaõ do desempenho ambiental (Diabat et al 2013;Tyagi et al, 2014;Jain et al, 2016), a literatura permanece escassa.…”

Section: Introductionunclassified

“…Entretanto, no que concerne a avaliaçaõ do desempenho ambiental (Diabat et al 2013;Tyagi et al, 2014;Jain et al, 2016), a literatura permanece escassa. EE importante notar que nenhum deles discute a seleção de veı-culos de carga a partir de ıńdices de ecoe iciencia.…”

Section: Introductionunclassified

Análise multicritério da ecoeficiência do transporte de cargas com veículos leves

et al. 2018

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RESUMOÉ crescente a busca por alterna vas de transporte mais sustentáveis, com uso de menos recursos e que causem menos impactos ao meio ambiente. Esta pesquisa busca avaliar a ecoeficiência de veículos leves para transporte de cargas, através de métodos de apoio à decisão, para orientar a escolha da alterna va com melhor desempenho econômico e ambiental. A avaliação de desempenho destes veículos foi desenvolvida com a u lização de um modelo híbrido composto de duas técnicas de apoio mul critério à decisão conhecidas: AHP e TOPSIS, para a classificação das alterna vas. O modelo AHP-TOPSIS foi considerado robusto e bastante adequado para resolver esse po de problema. Os resultados desta pesquisa ajudam a iden ficar o nível de desempenho dos veículos e elaborar um ranking com base na ecoeficiência, o que ajudará a orientar o julgamento dos decisores no momento da escolha do veículo. ABSTRACTThe search for more sustainable transporta on alterna ves, with the use of fewer resources and with less impact on the environment, is increasing. This research aims to evaluate the ecoefficiency of light vehicles for cargo transporta on, through decision support methods, to guide the choice of the alterna ve with beEer economic and environmental performance. The performance evalua on of these vehicles was developed using a hybrid model composed of two known mul criteria decision techniques to classify the alterna ves: AHP and TOPSIS. This model was considered robust and quite adequate to solve this type of problem. The results of this ar cle aim to iden fy the performance level of the vehicles and to elaborate a ranking based on ecoefficiency, which will help to guide the judgment of the decision makers in the choice of the vehicle. Palavras-chaves:AHP, TOPSIS, Ecoeficiência, Transporte automo vo. Keywords:AHP, TOPSIS, Eco-efficiency, Automo ve Transport. DOI:10.14295/transportes.v26i1.1313 INTRODUÇÃOA mobilidade da sociedade contemporânea enfrenta como grande desa io a busca pela sustentabilidade do transporte de passageiros e de cargas, em um cenário fortemente dependente de combustıveis fós-seis, que impactam diretamente na crescente taxa de emissões de gases poluentes e causadores de efeito estufa. Em decorrencia do seu alto impacto sobre o meio ambiente, o ponto de vista sustentavel tem ganhado importância como parte do desenvolvimento de estrateǵias essenciais para empresas de transporte e logıśtica (Oberhofer e Dieplinger, 2014).A mobilidade pessoal é condiçaõ imprescindıvel para a humanidade, no acesso ao emprego, à educação e cultura, à troca de mercadorias e ao desenvolvimento socioeconômico dos povos, em uma economia globalizada. Aleḿ de fator essencial da liberdade individual, do crescimento econômico e da geração de riqueza, o transporte permite a extensão territorial das relações sociais e a troca de culturas (Philipon, 2010).

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“…Therefore, employing expert judgment is so effective in this regard. The expert judgment numerously applied to MADM problems (Tyagi et al, 2014;Franek and Kresta, 2014;Asamoah et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

A New Modeling of Periodic Inspection Interval Optimization in Computer System with Failure Interaction

Rezaei¹,

Imani²

2014

Australasian J. of Computer Science

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The hidden failure is commonly occur in different industries with increasing operational complexity. The component of computers is an example for hidden failure. This component called soft component. In this study two component repairable systems with failure interaction are considered. The failure of these components can be soft or hard. The hard failure causes the system stop, while the soft failure does not, but it increases the system operating costs too. The periodic inspections have a fix cost to system. When the first component fails, it remains in a failed state until the next inspection time. Therefore, if the first component failed in each inspection interval, a down time penalty cost is incurred. The cost is proportional to the elapsed time from failure time to its detection at inspection time. The short inspection interval increases the number of inspection and causes the extra cost for system. As well, long inspection interval causes the greater cost due to long elapsed time between real occurrence of the failure time and the failure detection (penalty cost). On a finite time horizon, the objective of current study is to figure out the optimal inspection interval for the soft failure component to minimize the expected total cost. Therefore, an adapted sample problem is resolved and numerical results are presented.

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A Hybrid Approach using AHP-TOPSIS for Analyzing e-SCM Performance

Cited by 52 publications

References 13 publications

AHP-TOPSIS Method for Learning Object Metadata Evaluation

AHP-TOPSIS Method for Learning Object Metadata Evaluation

Análise multicritério da ecoeficiência do transporte de cargas com veículos leves

A New Modeling of Periodic Inspection Interval Optimization in Computer System with Failure Interaction

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