Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey

Ozden Tozanli, Gazi Murat Duman, Elif Kongar and Surendra M. Gupta
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Ozden Tozanli: Department of Technology Management, School of Engineering, University of Bridgeport, Bridgeport, CT 06604, USA
Gazi Murat Duman: Department of Technology Management, School of Engineering, University of Bridgeport, Bridgeport, CT 06604, USA
Elif Kongar: Departments of Mechanical Engineering and Technology Management, School of Engineering, University of Bridgeport, Bridgeport, CT 06604, USA
Surendra M. Gupta: Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA 02115, USA

Logistics, 2017, vol. 1, issue 1, 1-42

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.

Keywords: environmentally concerned logistics; fuzzy sets; multi-criteria decision making; content analysis; sustainability (search for similar items in EconPapers)
JEL-codes: L8 L80 L81 L86 L87 L9 L90 L91 L92 L93 L98 L99 M1 M10 M11 M16 M19 R4 R40 R41 R49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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