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A study of combined evaluation of suppliers based on correlation

Journal Name:

  • Journal of Industrial Engineering and Management

Publication Year:

  • 2013
DOI: 
http://dx.doi.org/10.3926/jiem.680

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
Purpose: The Selection of logistics service providers is an important issue in supply chain management. But different evaluation methods may lead to different results, which could cause inconsistent conclusions. This paper makes use of a new perspective to combine with a variety of methods to eliminate the deviation of different single evaluation methods. Design/methodology/approach: This paper expounds the application of the combined evaluation method based on correlation. Entropy method, factor analysis, grey colligation evaluation and AHP have been used for research. Findings: According to the evaluate result, the ranking of suppliers obtained by each method have obvious differences. The result shows that combined evaluation method can eliminate the deviation of different single evaluation methods. Originality/value: The combined evaluation method makes up for the defects of single evaluation methods and obtains a result that is more stable and creditable with smaller deviation. This study can provide the enterprise leaders with more scientific method to select their cooperative companies.
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FULL TEXT (PDF): 
PDF icon arastrmx_141136_6_pp_249-257.pdf
  • 1
249-257
  • English

REFERENCES

References: 

Ager, R.R. (1977). Multiple objective decision-making based on fuzzy sets. International Journal of Man-Machine Studies.
Chen, Y., Chen, G., & Li, M. (2005). Research on Determining Weights of Combination Evaluation Method Using Cooperative Games, Chinese Journal of Management Science.
Guo, X. (1995). A new comprehensive evaluation method - combined evaluation, Statistical Research.
Guo, Y., & Yi, P. (2006). Whole Diversity-Based Reasoning for Objective Combined Evaluation, Chinese Journal of Management Science.
Jin, J., Wei, Y., & Zhou, Y. (2008). Theoretical Frame of Comprehensive Evaluation of Complex System and Its Application to Evaluating Water Security, System Sciences and Comprehensive Studies in Agriculture.
Li, W. (2007). Research on Theory and Methodology of the Evaluation of Enterprise's Competitiveness, doctoral dissertation, Beijing Jiaotong University.
Natalie, M., & James, R. (2002). An Improved Batch Means Procedure for Simulation Output Analysis, Management Science, 48(12), 1569-1586. http://dx.doi.org/10.1287/mnsc.48.12.1569.438
Peng, Y. (1995). Combination Evaluation Research of International Investment Environment, Systems Engineering - Theory & Practice.
Qin, S. (2003). Comprehensive evaluation Principle and Application. Electronic Industry Press.
Su, W., & Chen, J. (2006). Some Considerations to Extend Comprehensive Evaluation Technique, Statistical Research.
Wang, S., Yang, S., & Hu, X. (2008). Combinational evaluation method based on projection pursuit algorithm, Engineering Sciences.Zeng, X. (1997). Priori and Post Tests of Combination Evaluation, Statistical Research.

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