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Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

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dc.contributor.author Tozanli, Ozden
dc.contributor.author Duman, Gazi Murat
dc.contributor.author Kongar, Elif
dc.contributor.author Gupta, Surendra M.
dc.date.accessioned 2018-05-11T14:22:50Z
dc.date.available 2018-05-11T14:22:50Z
dc.date.issued 2017-06-13
dc.identifier.citation Tozanli, O.; Duman, G.M.; Kongar, E.; Gupta, S.M. Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey. Logistics 2017, 1, 4. en_US
dc.identifier.other 10.3390/logistics1010004
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/2244
dc.description.abstract Growing environmental awareness coupled with stricter governmental regulations has fueled the need for integrating sustainability into supply chain and logistics activities. Accordingly, recent studies in the literature have emphasized the significance of environmentally concerned logistics operations (ECLO). Research in the broad area of ECLO encompasses a wide range of topics including sustainable supply chain, green supply chain, closed-loop supply chain, low-carbon logistics, and waste management. In this paper, a comprehensive content analysis and area review is presented. Over 800 papers published between 1994 and 2017 in peer-reviewed journals, proceedings, and book chapters are utilized. These papers are analyzed in consecutive stages after being reviewed under a structural dimension process that addresses the fields of environmentally concerned logistics operations. Following the state-of-the-art review, a detailed analysis of ECLO research with a special emphasis on fuzzy applications is provided. The findings clearly indicate that the fuzzy multi-criteria decision making technique is a frequently used hybrid method, whereas fuzzy sets theory and other fuzzy hybrid techniques identify a gap in the related literature. This paper provides further critical analysis and other research suggestions in order to clarify these gaps and offer additional research perspectives. This information may provide extensive data that will enable future researchers to fill these gaps within this field. en_US
dc.description.uri https://doi.org/10.3390/logistics1010004
dc.language.iso en_US en_US
dc.publisher MDPI en_US
dc.subject Environmentally concerned logistics en_US
dc.subject Fuzzy sets en_US
dc.subject Multi-criteria decision making en_US
dc.subject Content analysis en_US
dc.subject Sustainability en_US
dc.title Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey en_US
dc.type Article en_US
dc.publication.issue 1 en_US
dc.publication.name Logistics en_US
dc.publication.volume 1 en_US


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