Open AccessGreen operations management for sustainable development: An explicit analysis by using fuzzy best-worst method
Author(s) -
Priyanshi Gupta,
Vivek Chawla,
Vineet Jain,
Surjit Angra
Publication year - 2022
Publication title -
decision science letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 18
eISSN - 1929-5804
pISSN - 1929-5812
DOI - 10.5267/j.dsl.2022.1.003
Subject(s) - triple bottom line , sustainable development , productivity , fuzzy logic , green logistics , production (economics) , environmental economics , business , sustainable business , computer science , operations management , operations research , engineering , economics , sustainability , ecology , artificial intelligence , biology , political science , law , macroeconomics
With increasing concerns and challenges to climate change in recent years, green operations management (GOM) has gained significant attention from society for achieving sustainable growth. GOM is a set of practices that can be applied in production processes to produce goods with improved productivity and significantly reduced threats of carbon emission to the environment and Mother Nature. GOM mainly includes green manufacturing, green design, green logistics, and green purchases. In the paper, fuzzy best-worst method (FBWM) is used to determine the best and worst criteria affected by GOM practices. Thus, the paper attempts to explicitly analyze and highlight the significance of GOM in preserving the environment and manage the triple bottom line for achieving overall sustainable business operations.