Quick response strategy with cleaner technology in a supply chain: coordination and win-win situation analysis

Hau Ling Chan; Bin Shen; Yajun Cai

doi:10.1080/00207543.2016.1278283

Quick response strategy with cleaner technology in a supply chain: coordination and win-win situation analysis

Hau Ling Chan
, Bin Shen
, Yajun Cai

Research output: Journal article publication › Journal article › Academic research › peer-review

103 Citations (Scopus)

Abstract

Original language	English
Pages (from-to)	3397-3408
Number of pages	12
Journal	International Journal of Production Research
Volume	56
Issue number	10
DOIs	https://doi.org/10.1080/00207543.2016.1278283
Publication status	Published - 19 May 2018

UN SDGs

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

SDG 12 Responsible Consumption and Production

Keywords

Bayesian theory
quick response manufacturing
supply chain coordination
sustainability
sustainable supply chain

ASJC Scopus subject areas

Strategy and Management
Management Science and Operations Research
Industrial and Manufacturing Engineering

More information

10.1080/00207543.2016.1278283

Cite this

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title = "Quick response strategy with cleaner technology in a supply chain: coordination and win-win situation analysis",

keywords = "Bayesian theory, quick response manufacturing, supply chain coordination, sustainability, sustainable supply chain",

author = "Chan, \{Hau Ling\} and Bin Shen and Yajun Cai",

note = "Funding Information: This paper is supported by {\textquoteleft}National Natural Science Foundation of China [grant number 71401029]{\textquoteright}, and {\textquoteleft}Chenguang Programme (15CG34){\textquoteright}. Publisher Copyright: {\textcopyright} 2017 Informa UK Limited, trading as Taylor \& Francis Group.",

year = "2018",

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T1 - Quick response strategy with cleaner technology in a supply chain

T2 - coordination and win-win situation analysis

AU - Chan, Hau Ling

AU - Shen, Bin

AU - Cai, Yajun

N1 - Funding Information: This paper is supported by ‘National Natural Science Foundation of China [grant number 71401029]’, and ‘Chenguang Programme (15CG34)’. Publisher Copyright: © 2017 Informa UK Limited, trading as Taylor & Francis Group.

PY - 2018/5/19

Y1 - 2018/5/19

KW - Bayesian theory

KW - quick response manufacturing

KW - supply chain coordination

KW - sustainability

KW - sustainable supply chain

UR - https://www.scopus.com/pages/publications/85009231205

U2 - 10.1080/00207543.2016.1278283

DO - 10.1080/00207543.2016.1278283

M3 - Journal article

AN - SCOPUS:85009231205

SN - 0020-7543

VL - 56

SP - 3397

EP - 3408

JO - International Journal of Production Research

JF - International Journal of Production Research

IS - 10

ER -

Quick response strategy with cleaner technology in a supply chain: coordination and win-win situation analysis

Abstract

UN SDGs

Keywords

ASJC Scopus subject areas

More information

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Cite this