Optimization on Logistics Capability in Cluster Supply Chain Based on Fuzzy Logic and AHP

Author

LI, Jizi ; Liu, Chunling ; Guo, Peiling

Author_Institution

Sch. of Econ. & Manage., Wuhan Univ. of Sci. & Eng., Wuhan

Volume

3

fYear

2008

fDate

18-20 Oct. 2008

Firstpage

409

Lastpage

413

Abstract

A multistage index system of logistics capability was made to optimize the logistics capability in cluster supply chain (CSC), in which, a multistage fuzzy analytical model was applied on the basis of the fuzzy mathematics and hierarchy process analytical methods. The composing process of logistics capability index was discussed and illustrated in details via proposed model. The fuzzy evaluation of CSC´s logistics capability with a comparison to benchmark of logistics capability can identify the advantage and disadvantage of logistics capability, which lead to the optimization of CSC´s logistics capability.

Keywords

fuzzy logic; fuzzy set theory; logistics; optimisation; supply chain management; AHP; cluster supply chain; fuzzy logic; fuzzy mathematics; hierarchy process analytical methods; logistics capability index; multistage fuzzy analytical model; multistage index system; Conference management; Fuzzy logic; Fuzzy systems; Industrial relations; Logistics; Optimization methods; Production; Supply chain management; Supply chains; Technological innovation; AHP; Cluster Supply Chain; Fuzzy Logic; Logistics Capability;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2008. FSKD '08. Fifth International Conference on

Conference_Location

Shandong

Print_ISBN

978-0-7695-3305-6

Type

conf

DOI

10.1109/FSKD.2008.319

Filename

4666279