A HYBRID FUZZY-PROMETHEE METHOD FOR LOGISTICS SERVICE SELECTION: DESIGN OF A DECISION SUPPORT TOOL-Reference-Cited by-同舟云学术

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

Published:2010-08 Issue:04 Volume:18 Page:345-369
ISSN:0218-4885
Container-title:International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
language:en
Short-container-title:Int. J. Unc. Fuzz. Knowl. Based Syst.

Author:

ALOINI DAVIDE¹,DULMIN RICCARDO¹,MININNO VALERIA¹

Affiliation:

1. Department of Electric Systems and Automation, University of Pisa, Via Diotisalvi 2, Pisa, 56100, Italy

Abstract

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.

Publisher

World Scientific Pub Co Pte Lt

Subject

Artificial Intelligence,Information Systems,Control and Systems Engineering,Software

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0218488510006593

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