TY  - GEN
N2  - This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students.
DO  - 10.1007/978-981-16-0382-2
DO  - doi
AB  - This book offers an introduction to various models and methods for green supplier evaluation and selection (GSES) within different information settings. As such, it provides valuable knowledge, useful GSES methods and practical examples that can be considered by manufacturers in selecting appropriate green suppliers to improve their environmental performance and customer satisfaction. This book is useful for practitioners and researchers working in the fields of supply chain management, operation management, information science, industrial engineering, and management science. It is also useful as a textbook for postgraduate and senior undergraduate students.
T1  - Green supplier evaluation and selection :models, methods and applications /
AU  - Liu, Hu-Chen,
AU  - You, Xiao-Yue,
CN  - HD38.5
ID  - 1435035
KW  - Business logistics
KW  - Business logistics
KW  - Business logistics
KW  - Green products
KW  - Logistique (Organisation)
KW  - Logistique (Organisation)
KW  - Logistique (Organisation)
KW  - Produits écologiques
SN  - 9789811603822
SN  - 9811603820
TI  - Green supplier evaluation and selection :models, methods and applications /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0382-2
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-0382-2
ER  -