A hierarchical fuzzy TOPSIS approach to assess improvement area when implementing green supply chain initiatives

Xiaojun Wang, Hing Kai Chan

Research output: Contribution to journal › Article (Academic Journal) › peer-review

115 Citations (Scopus)

Original language	English
Pages (from-to)	3117-3130
Journal	International Journal of Production Research
Volume	51
Issue number	10
DOIs	https://doi.org/10.1080/00207543.2012.754553
Publication status	Published - 2013

Access to Document

@article{7ee11f9252d44cbbb183d522356f4c4b,

title = "A hierarchical fuzzy TOPSIS approach to assess improvement area when implementing green supply chain initiatives",

author = "Xiaojun Wang and Chan, \{Hing Kai\}",

year = "2013",

doi = "10.1080/00207543.2012.754553",

language = "English",

volume = "51",

pages = "3117--3130",

journal = "International Journal of Production Research",

issn = "1366-588X",

publisher = "Taylor \& Francis Group",

number = "10",

}

TY - JOUR

T1 - A hierarchical fuzzy TOPSIS approach to assess improvement area when implementing green supply chain initiatives

AU - Wang, Xiaojun

AU - Chan, Hing Kai

PY - 2013

Y1 - 2013

U2 - 10.1080/00207543.2012.754553

DO - 10.1080/00207543.2012.754553

M3 - Article (Academic Journal)

SN - 1366-588X

VL - 51

SP - 3117

EP - 3130

JO - International Journal of Production Research

JF - International Journal of Production Research

IS - 10

ER -