Empirical study of supplier selection strategies across the supply chain management in manufacturing companies

2005 ◽  
Author(s):  
Dan Wang ◽  
Yezhuang Tian ◽  
Yunquan Hu
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Empirical Study ◽  
Supplier Selection ◽  
Manufacturing Companies ◽  
Chain Management ◽  
Selection Strategies

EMPIRICAL STUDY OF SUPPLIER SELECTION PRACTICES IN SUPPLY CHAIN MANAGEMENT IN MANUFACTURING COMPANIES

2005 ◽  
Vol 02 (04) ◽  
pp. 391-409 ◽  
Author(s):  
DAN WANG ◽  
YEZHUANG TIAN ◽  
YUNQUAN HU
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Empirical Study ◽  
Supplier Selection ◽  
Selection Criteria ◽  
Global Scale ◽  
Manufacturing Companies ◽  
Chain Management ◽  
Major Significance ◽  
Competitive Priority

Supply chain management has seen a wide application since the 1990s in satisfying diversified customer demands. To remain competitive on a global scale, manufacturing companies greatly increased the scope of their outsourcing activities. Consequently, supplier selection has become a highly prioritized activity with major significance to companies. Previous studies of supplier selection show that there are commonly accepted supplier selection criteria. However, there are insufficient studies on the association between the manufacturer's criteria of supplier selection and why it wins orders from its customers. Studies on the differences of supplier selection criteria among manufacturers from different countries are insufficient either. Through empirical study this paper tries to find out the association between manufacturer's criteria in supplier selection and how it wins orders. Considerations of supplier selection criteria in different national background are compared and the consistency of supplier selection criteria and competitive priority is analyzed.

scholarly journals The relationship between the logistics complexity of manufacturing companies and their supply chain management

Production ◽  
2013 ◽  
Vol 24 (2) ◽  
pp. 233-254 ◽  
Author(s):  
Peter Fernandes Wanke ◽  
Henrique Luiz Corrêa
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Binary Logistic Regression ◽  
Manufacturing Companies ◽  
Chain Management ◽  
Significant Relationships ◽  
Comprehensive Literature Review ◽  
The Relationship ◽  
Different Levels ◽  
Contingency Approach

This study aims to investigate whether, and the means by which, supply chain managers of large manufacturing companies adopt a context-dependent approach (also called contingency approach) in their supply chain decisions; it empirically explores the correlation between logistics complexity-related contextual conditions and supply chain management (SCM) objectives and decision areas. The study involves a comprehensive literature review, followed by an analysis of survey data (based on a sample of 108 large manufacturing companies in Brazil), using cluster analysis, factor analysis and binary logistic regression. In this study, we not only investigate the major effects of supply chain objectives and decision areas as predictors of the logistics complexity of manufacturing but also investigate their second order interactions. Statistically significant relationships were found between logistics complexity-related contextual conditions and objectives and decision areas involving the supply chain. The managers of large companies who were surveyed considered different objectives and decision areas to be critical to the achievement of supply chain excellence when their companies had different levels of logistics complexity.

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