A HYBRID FUZZY-PROMETHEE METHOD FOR LOGISTICS SERVICE SELECTION: DESIGN OF A DECISION SUPPORT TOOL

被引：12

作者：

Aloini, Davide ^{[1
]}

Dulmin, Riccardo ^{[1
]}

Mininno, Valeria ^{[1
]}

机构：

[1] Univ Pisa, Dept Elect Syst & Automat, I-56100 Pisa, Italy

来源：

INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS | 2010年 / 18卷 / 04期

关键词：

Carrier selection; multi-criteria/fuzzy; decision making; support system; AID;

D O I：

10.1142/S0218488510006593

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Among the traditional logistics services, transportation is one of the most commonly outsourced activities. Nevertheless the carrier selection process is critic presenting its own peculiarities which should be accurately managed. This paper presents a hybrid multi-criteria/fuzzy method for the selection of the carrier among a number of pre-selected logistics service providers. The method was developed and applied to the case of Power-One Inc., a multinational company in the Power-electronic market. Finally, an automated system supporting the decision making process was designed to support users.

引用

页码：345 / 369

页数：25

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