2004
DOI: 10.1016/j.rser.2003.12.007
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Application of multi-criteria decision making to sustainable energy planning—A review

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Cited by 1,507 publications
(668 citation statements)
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References 83 publications
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“…Multi-criteria Decision Making as a discipline is rather young for the models and techniques of modern multi-criteria decision making which started to develop in 1950s and 1960s when many scholars were proposing their new models and techniques of multi-criteria decision making. The interest in this field of researches and development have continuously been growing in the past decades (Zavadskas et al 2014;Pohekar, Ramachandran 2004).…”
Section: Aim Methodology and Datamentioning
confidence: 99%
“…Multi-criteria Decision Making as a discipline is rather young for the models and techniques of modern multi-criteria decision making which started to develop in 1950s and 1960s when many scholars were proposing their new models and techniques of multi-criteria decision making. The interest in this field of researches and development have continuously been growing in the past decades (Zavadskas et al 2014;Pohekar, Ramachandran 2004).…”
Section: Aim Methodology and Datamentioning
confidence: 99%
“…Alguns trabalhos têm explorado o uso de métodos de apoio à decisão multicritério na área de energia (Pohekar & Ramachandran, 2004). Especificamente para aquisição de tecnologias ou energéticos em indústrias alguns trabalhos utilizando metodologia multicritério são encontrados na literatura.…”
Section: Barreiras De Informação E Decisãounclassified
“…O principal argumento para a utilização de uma metodologia multicritério é que os problemas humanos normalmente são de natureza multicriterial (Brans & Mareschal, 2005). Em áreas complexas como energia e sustentabilidade, com múltiplos critérios e muitos deles conflitantes entre si, os métodos multicritérios são ferramentas importantes que fornecem as informações necessárias para a tomada de decisão (Pohekar & Ramachandran, 2004).…”
Section: Introductionunclassified
“…It has been used in variety of problems from tool selection (Ayag and Ozddemir, 2011), supplier selection (Chatterjee and Chakraborty, 2014;Yazdani, 2014), strategy evaluation of alternatives (Rao and Singh, 2012), location selection (Rao and Singh, 2012), robot selection (Bhattacharya et al, 2005;Rehman and Ahamri, 2013), product development (Soota et al, 2008;Soota, 2014), renewable and sustainable energy (Pohekar and Ramachandran, 2004), material handling equipment selection (Onut et al, 2009), curricular topic selection (Soota et al, 2009), etc. Integrating some of the recent applications with QFD include robot selection (Bhattacharya et al, 2005), robust QFD (Kim et al, 2007), weighted ANP approach for concept development (Zaim et al, 2014), collaborative product design and optimal selection of module mix (Wang and Chen, 2012), conjoint analysis for concept development (Chaudhuri and Bhattacharyya, 2009), product development methodology (Soota et al, 2011;Soota, 2014;Zaim et al, 2014), extensions of QFD (Mehrjerdi, 2010), etc.…”
Section: Introductionmentioning
confidence: 99%
“…All the interactions and feedbacks within clusters are called interdependencies where as interactions and feedbacks between clusters are called outer dependencies. Some of the recent applications of ANP include product planning with goal programming (Karsak et al, 2003), machine tool selection (Ayag and Ozddemir, 2011), flexible manufacturing system (FMS) selection (Chatterjee and Chakraborty, 2014;Maniya and Bhatt, 2011), hybrid approach based on DEMATEL, AHP, TOPSIS for evaluating green supplier (Buyukozkan and Cifci, 2012), product development (Soota et al, 2011;Zaim et al, 2014), optimum material evaluation for manufacturing of automobile bumper (Ilangkumaran et al, 2013), multi-criteria inventory classification (Kabir and Hasin, 2013), operations management review (Subramanian and Ramanathan, 2012), supplier selection (Chatterjee and Chakraborty, 2014;Yazdani, 2014), sustainable energy planning (Pohekar and Ramachandran, 2004), material handling equipment selection (Onut et al, 2009), evaluation of alternative industrial robots (Rehman and Ahamri, 2013), material selection (Rao and Patel, 2010), etc.…”
Section: Introductionmentioning
confidence: 99%