Investigation into Logistics Outsourcing Supplier Selection for Automobile Manufacturers

Ji-liang, Liu

doi:10.1007/978-3-662-47241-5_104

Advances in Intelligent Systems and Computing

2015

DOI: 10.1007/978-3-662-47241-5_104

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Investigation into Logistics Outsourcing Supplier Selection for Automobile Manufacturers

Liu Ji-liang

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2020

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Evaluation of Heavy Commercial Vehicles Brand Considering Multi-Attribute Indexes in China

Xiong

Cheng

2020

Journal of Systems Science and Information

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Assessment of brand competitiveness which influences consumer trends and company’s sales performance contributes to business development. This paper elaborates the theories and the main investigations of brand competitiveness, and formulates a comprehensive hierarchical structure integrating multi-attribute indexes, i.e., social, technical, managerial, environmental and cultural criteria. An integrated multi-criterion decision-making (MCDM) model combining with analytic hierarchy process (AHP), grey relational analysis (GRA) and VIKOR is presented to determine the weights of influence criteria and to evaluate brand competitiveness. The utilized integrated methodology has been proved to be valid and practical by the empirical application on three enterprises. The results provide an accurate and effective tool for MCDM problem and also a new guideline for the enterprise development.

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Evaluation of Heavy Commercial Vehicles Brand Considering Multi-Attribute Indexes in China

Xiong

Cheng

2020

Journal of Systems Science and Information

View full text Add to dashboard Cite

show abstract

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Investigation into Logistics Outsourcing Supplier Selection for Automobile Manufacturers

Cited by 1 publication

References 7 publications

Evaluation of Heavy Commercial Vehicles Brand Considering Multi-Attribute Indexes in China

Evaluation of Heavy Commercial Vehicles Brand Considering Multi-Attribute Indexes in China

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