Open AccessRANKING DIFFERENT ENABLERS/DRIVERS OF SUSTAINABLE SUPPLY CHAIN MANAGEMENT BY USING AHP IN INDIAN MANUFACTURING INDUSTRIES
Author(s) -
Jayant Suresh Chaudhari,
Renu Wasu,
Avinash Sarode
Publication year - 2020
Publication title -
international journal of the analytic hierarchy process
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.213
H-Index - 3
ISSN - 1936-6744
DOI - 10.13033/ijahp.v12i2.711
Subject(s) - analytic hierarchy process , ranking (information retrieval) , sustainability , supply chain , business , supply chain management , manufacturing sector , manufacturing , environmental economics , process management , computer science , operations management , environmental resource management , operations research , marketing , engineering , environmental science , economics , international economics , ecology , machine learning , biology
In a global economy characterized by environmental, social and economic factors, environmental sustainability is currently one of the main concerns of industry and the economic sector. A large number of periodicals and special volumes related to the sustainable supply chain have been published. This paper intends to identify the drivers for sustainable supply chain management (SSCM) implementation. Twenty-eight enablers were identified and categorized using an extensive literature survey to improve the effectiveness of SSCM implementation. The authors attempted to identify the drivers/enablers and constructed a framework, which analyzed the SSCM using the AHP.