Proceedings of the 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)

An Integrated Approach for Logistic Partner Selection in a Logistics Alliance

Authors
Chunchao Pang, Lishuai Liu
Corresponding Author
Chunchao Pang
Available Online January 2017.
DOI
https://doi.org/10.2991/icefs-17.2017.68How to use a DOI?
Keywords
ISM, ANP, TOPSIS, Partner Selection
Abstract
This study looks at selecting the partner in a logistics alliance as well as the intricate relationships between various factors. We use three research models herein. First, Interpretive Structural Modeling (ISM) establishes the criteria for the interrelationship structure, categorized according to their driving power and dependence. Second, because ISM does not provide any weighting associated with the criteria, we employ the Analytic Network Process (ANP) approach to calculate the weighted importance of the key factors and to identify those factors impacting the partner selection. Finally, TOPSIS method is used to obtain final ranking. To illustrate how the approach is used for the partner selection problem, an application of a real case in a company is conducted. The application has demonstrated the effectiveness and feasibility of the proposed model.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
Part of series
Advances in Economics, Business and Management Research
Publication Date
January 2017
ISBN
978-94-6252-311-1
ISSN
2352-5428
DOI
https://doi.org/10.2991/icefs-17.2017.68How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Chunchao Pang
AU  - Lishuai Liu
PY  - 2017/01
DA  - 2017/01
TI  - An Integrated Approach for Logistic Partner Selection in a Logistics Alliance
BT  - 2017 International Conference on Economics, Finance and Statistics (ICEFS 2017)
PB  - Atlantis Press
SP  - 499
EP  - 509
SN  - 2352-5428
UR  - https://doi.org/10.2991/icefs-17.2017.68
DO  - https://doi.org/10.2991/icefs-17.2017.68
ID  - Pang2017/01
ER  -