Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies

K Govindan; SK Mangla; S Luthra

doi:10.1080/09537287.2017.1309716

Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies

K Govindan
, SK Mangla
, S Luthra

Plymouth Business School

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	552-573
Number of pages	0
Journal	Production Planning & Control
Volume	28
Issue number	0
Early online date	16 May 2017
DOIs	https://doi.org/10.1080/09537287.2017.1309716
Publication status	Published - 11 Jun 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/09537287.2017.1309716

Cite this

@article{ab478be8658440569a9ce708341ce5eb,

title = "Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies",

author = "K Govindan and SK Mangla and S Luthra",

year = "2017",

month = jun,

day = "11",

doi = "10.1080/09537287.2017.1309716",

language = "English",

volume = "28",

pages = "552--573",

journal = "Production Planning \& Control",

issn = "0953-7287",

publisher = "Taylor and Francis Ltd.",

number = "0",

}

TY - JOUR

T1 - Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies

AU - Govindan, K

AU - Mangla, SK

AU - Luthra, S

PY - 2017/6/11

Y1 - 2017/6/11

U2 - 10.1080/09537287.2017.1309716

DO - 10.1080/09537287.2017.1309716

M3 - Article

SN - 0953-7287

VL - 28

SP - 552

EP - 573

JO - Production Planning & Control

JF - Production Planning & Control

IS - 0

ER -