TY - GEN
T1 - A combined fuzzy group decision making framework to evaluate agile supply chain enablers
AU - Buyukozkan, Gulcin
AU - Ruan, Da
A2 - Kabak, Özgür
N1 - Score = 3
PY - 2009/11
Y1 - 2009/11
N2 - To support an effective agile supply chain management, we examine in this paper agile supply chain enablers in an analytical context. We propose a new integrated method combining fuzzy logic, decision making trial and evaluation laboratory and analytic network process to determine the most important factors of agility in the supply chain management. We also demonstrate the potentials of the methodology by a case study in an Turkish automotive industry.
AB - To support an effective agile supply chain management, we examine in this paper agile supply chain enablers in an analytical context. We propose a new integrated method combining fuzzy logic, decision making trial and evaluation laboratory and analytic network process to determine the most important factors of agility in the supply chain management. We also demonstrate the potentials of the methodology by a case study in an Turkish automotive industry.
KW - group decision making
KW - fuzzy logic
KW - supply chain
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_101615
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_101615_2
UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_101615_3
UR - http://knowledgecentre.sckcen.be/so2/bibref/6307
M3 - In-proceedings paper
SN - 978-981-4295-05-5
VL - 1
T3 - Computer Engineering and Information Science
SP - 299
EP - 304
BT - Intelligent Decision Making Systems
CY - Singapore, Singapore
T2 - The 4th Int. ISKE Conf. on Intelligent Decision Making Systems
Y2 - 27 November 2009 through 28 November 2009
ER -