Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey
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Authors
Tozanli, Ozden
Duman, Gazi Murat
Kongar, Elif
Gupta, Surendra M.
Issue Date
2017-06-13
Type
Article
Language
en_US
Keywords
Environmentally concerned logistics , Fuzzy sets , Multi-criteria decision making , Content analysis , Sustainability
Alternative Title
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.
Description
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.
Publisher
MDPI