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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 22 | Page No.: 6735-6739
DOI: 10.3923/itj.2013.6735.6739
Using Improved Method on Grey Relational to Evaluate the Performance of Automotive Integrated Supply Chain
Lizhen Du, Chengran Wang and Dexin Tao

Abstract: Combining the cosine method and grey relational evaluation method, an improved grey relational method is proposed to evaluate the performanc of automotive supply chain which can determine the indicator weight and evaluation result more effectively. On the basis of these, the Performance Evaluation System (PES) of automotive integrated supply chain is developed on MATLAB software platform. In the end, the validity and feasibility of the system is validated by an example and the system can provide a convenient operation tool and scientific, objective decision basis for auto manufacturers to evaluate the automotive integrated supply chain performance.

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How to cite this article
Lizhen Du, Chengran Wang and Dexin Tao, 2013. Using Improved Method on Grey Relational to Evaluate the Performance of Automotive Integrated Supply Chain. Information Technology Journal, 12: 6735-6739.

Keywords: Supply chain management, automotive supply chain, software development, performance evaluation and improved grey relational method

REFERENCES
  • Ahmet, C.K., E. Mehmet and K. Cengiz, 2013. A fuzzy multi-criteria approach to point-factor method for job evaluation. J. Intell. Fuzzy Syst., 25: 659-671.
    CrossRef    

  • Ali, A., S. Maryam and A. Morteza, 2010. Integration of simulation and fuzzy multi-attribute decision making for modelling and assessment of fuzzy parameters. Int. J. Ind. Syst. Eng., 6: 483-502.
    CrossRef    

  • Chin-Nung, L., 2013. An evaluation model using fuzzy TOPSIS and goal programming for TQM consultant selection. J. Test. Eval., Vol. 41.
    CrossRef    

  • Danijela, T., T.G. Alev, A. Slavko, A. Aleksandar and S. Miladin, 2013. An evaluation of quality goals by using fuzzy AHP and fuzzy TOPSIS methodology. J. Intell. Fuzzy Syst., 25: 547-556.
    CrossRef    

  • Kumar, D., Singh, J., O.P. Singh and Seema, 2013. A fuzzy logic based decision support system for evaluation of suppliers in supply chain management practices. Mathe. Comput. Mod., 57: 2945-2960.
    CrossRef    

  • Saranga, H. and R. Moser, 2010. Performance evaluation of purchasing and supply management using value chain DEA approach. Eur. J. Opera. Res., 207: 197-205.
    CrossRef    

  • Cai, J., X. Liu, Z. Xiao and J. Liu, 2009. Improving supply chain performance management: A systematic approach to analyzing iterative KPI accomplishment. Decis. Support Syst., 46: 512-521.
    CrossRef    Direct Link    

  • Amiri, M., 2010. Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Syst. Appl., 37: 6218-6224.
    CrossRef    

  • Trkman, P., K. McCormack, M.P.V. de Oliveira and M.B. Ladeira, 2010. The impact of business analytics on supply chain performance. Decis. Support Syst., 49: 318-327.
    CrossRef    

  • Lima, R.H.P. and L.C.R. Carpinetti, 2010. Proposal of a method for performance measurement system design and implementation of a software application in SMEs. Int. J. Bus. Perform. Manage., 12: 182-202.
    CrossRef    

  • Zhang, X., F. Jin and P. Liu, 2013. A grey relational projection method for multi-attribute decision making based on intuitionistic trapezoidal fuzzy number. Applied Mathe. Mod., 37: 3467-3477.
    Direct Link    

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