Proceedings of the 5th Economic & Finance Conference, Miami

A FUZZY-NEURAL PERFORMANCE EVALUATION APPROACH OF SELECTING OUTSOURCE INTERNATIONAL LOGISTIC COMPANY

CHUN WEI R. LIN, YUN-JIUAN MELODY PARNG, HONG-YI CHEN

Abstract:

Owing to lack of confidence, the usage of domestic logistics services in the Asian region, e.g. Taiwanese companies, is comparatively lower than the use of international logistics companies. This paper develops an integrated fuzzy neural network performance evaluation model which is able to consider five key factors to evaluate their performance in the internationalization competence, namely, flexibility in organization structure, competitiveness in the global environment, versatility in service contents, sophistication in information technology application, and compliance in administrative regulations. The model successfully provides a transparent and systematic evaluation tool for industries to select appropriate logistic companies for international logistics services.

Keywords: Performance Evalution, International Logistics, Outsourcing, Fuzzy Neural Network

DOI: 10.20472/EFC.2016.005.015

PDF: Download