Home            Contact us            FAQs
    
      Journal Home      |      Aim & Scope     |     Author(s) Information      |      Editorial Board      |      MSP Download Statistics

     Advance Journal of Food Science and Technology


A Novel Evaluation Indicator System and Evaluation Method for Supply Chain Performance of Food Production

1Zhai Xiyao and 2Ye Hankun
1College of Science, Northeastern University, Shenyang 110015
2Research Center of Modern Business, Jiangxi University of Finance and Economics, Nanchang 330013, China
Advance Journal of Food Science and Technology  2015  4:255-259
http://dx.doi.org/10.19026/ajfst.7.1304  |  © The Author(s) 2015
Received: July ‎18, ‎2014  |  Accepted: August ‎26, ‎2014  |  Published: February 10, 2015

Abstract

Supply chain performance evaluation is a research hotspot and lies in the core status in supply chain management. The study presents a new evaluation indicator system and evaluation algorithm for supply chain performance. First, the balanced score card is used to construct an evaluation indicator system for supply chain performance evaluation through analyzing the basic principle and connotation characteristics of supply chain management; Second analytic hierarchy process and fuzzy comprehensive evaluation algorithms are combined to satisfy the dynamic, subjective and transitional characteristics of evaluation indicators and improve evaluation accuracy. Thirdly the evaluation indicator system and evaluation algorithm are used in supply chain performance evaluation of fresh food products and the experimental results shows that the presented evaluation indicator system and evaluation algorithm has satisfied validity and feasibility.

Keywords:

Analytic hierarchy process, balanced score card, multistage comprehensive fuzzy evaluation, supply chain performance evaluation,


References

  1. Cai, J.F. and M. Yang, 2009. Optimal model of multi-agent supply chain demand forecasting based on genetic algorithm. Ind. Eng. J., 19: 81-85.
  2. Chen, F., Z. Drezner, J.K. Ryan and D. Simchi-Levi, 2000a. Quantifying the bullwhip effect in a simple supply chain: The impact of forecasting, lead times and information. Manage. Sci., 46: 436-443.
    CrossRef    
  3. Disney, S.M., D.R. Towill and R.D.H. Warburton, 2006. On the equivalence of control theoretic, differential and difference equation approaches to modeling supply chains. Int. J. Prod. Econ., 101: 194-208.
    CrossRef    
  4. Duc, T.T.H., H.T. Luong and Y.D. Kim, 2008. A measure of bullwhip effect in supply chains with a mixed autoregressive-moving average demand process. Eur. J. Oper. Res., 187: 243-256.
    CrossRef    Direct Link
  5. Feng, Y. and J.H. Ma, 2013. Evaluation method research on demand forefoundry for supply chain. J. Beijing Inst. Tech. Soc. Sci. Edn., 10: 82-86.
  6. Lee, H.L., K.C. So and C.S. Tang, 2000. The value of information sharing in a two-level supply chain. Manage. Sci., 46: 626-643.
    CrossRef    
  7. Li, J.S. and Y.Z. Ning, 2012. A study on performance evaluation model of individual knowledge-sharing. J. Conv. Info. Tech., 6: 238-245.
  8. Luong, H.T. and N.H. Phien, 2007. Measure of bullwhip effect in supply chains: The case of high order autoregressive demand process. Eur. J. Oper. Res., 51: 197-209.
    CrossRef    
  9. Shifei, D., J. Weikuan, S. Chunyang, L. Xiaoliang and C. Jinrong, 2010. An improved BP neural network algorithm based on factor analysis. J. Conv. Inform. Technol., 5: 103-108.
  10. Xi, J.H. and Z.W. Shi, 2013. Analyzing the state space property of echo state networks for chaotic system prediction. J. Buss. Manag., 10: 1412-1417.
  11. Yanjie, L., C. Hongming and J. Lihong, 2010. Construction of BPMN-based business process model base. Int. J. Intell. Inform. Proc., 1(2): 32-38.
    CrossRef    
  12. Yuan, Q., 2012. Studies on application of fuzzy comprehensive evaluation method in piano teaching of colleges. Adv. Inf. Sci. Serv. Sci., 4: 313-320.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
Submit Manuscript
   Information
   Sales & Services
Home   |  Contact us   |  About us   |  Privacy Policy
Copyright © 2024. MAXWELL Scientific Publication Corp., All rights reserved