The Quantitative Model of Flexibility Capacity of Distribution Logistics System Vased on PPC and Fuzzy Matter-Element

Author

Zhang, Zhiyong ; Song, Xuefeng ; Gui, Shouping

Author_Institution

Dept. of Logistics Eng. & Manage., South China Univ. of Technol., Guangzhou, China

Volume

3

fYear

2009

fDate

26-27 Dec. 2009

Firstpage

590

Lastpage

593

Abstract

Distribution logistics system is required to respond to the uncertainty. Because the effective way to respond to the uncertainty is flexibility capacity, studying the flexibility capacity of distribution logistics system is important and practical. First of all, we analyze the uncertainty of distribution logistics system, then, we analyze comprehensively its elements from the view of system. Finally, we set up a quantitative model by combining the projection pursuit classification (PPC) and fuzzy matter-element, which can support the decision-making of selection of distribution system and flexible strategies.

Keywords

decision making; decision support systems; distribution strategy; fuzzy set theory; logistics; decision making; distribution logistics system; distribution system; flexibility capacity; flexible strategies; fuzzy matter-element; projection pursuit classification; quantitative model; Costs; Decision making; Diversity reception; Fuzzy sets; Fuzzy systems; Information management; Innovation management; Logistics; Power generation economics; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Management, Innovation Management and Industrial Engineering, 2009 International Conference on

Conference_Location

Xi´an

Print_ISBN

978-0-7695-3876-1

Type

conf

DOI

10.1109/ICIII.2009.453

Filename

5369677