The Study of Fresh Products Supplier’s Comprehensive Evaluation Based on Balanced Scorecard

  • Xinyu Ma
  • Qing ZhangEmail author
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)


Fresh supplier plays a vital role in the whole supply chain. How to evaluate the comprehensive ability of suppliers in a more scientific way so as to assist decision-making and establish long-term cooperative relationship is a problem worth thinking about by the enterprise members of supply chain. At present, there are few discussions targeting at the fresh industry in supplier capacity assessment researches, and most of them take KPI as the assessment standard and only focus on the current business ability of the enterprises while ignoring their long-term development. Even though some researches consider the multidimensional performance of the enterprise, the AHP method is often used to determine the weights, which lacks objectivity. Based on the characteristics of fresh products, this paper discusses the supplier capability evaluation in the field of fresh products. The BSC method is used to divide the four dimensions of evaluation indicators, comprehensively considering the financial and nonfinancial information, short-term performance and future development space of suppliers. This research collects data of the four representative suppliers and divides the weight of the subdivision index by the coefficient of variation method, so as to form the fresh supplier evaluation system. Combing the balanced scorecard and coefficient of variation method to establish an evaluation system, which can not only avoid the disadvantages of one-sidedness and lack of pertinence but also better assist the decision-making implementation in the supply chain, provides a new idea for supplier evaluation.


BSC FAHP Variation coefficient method Fresh products supplier evaluation 


  1. 1.
    K. Govindan, S. Rajendran, J. Sarkis, P. Murugesan, Multi criteria decision making approaches for green supplier evaluation and selection: a literature review. J. Clean. Prod. 98, 66–83 (2015)CrossRefGoogle Scholar
  2. 2.
    S. Luthra, K. Govindan, D. Kannan, S.K. Mangla, C.P. Garg, An integrated framework for sustainable supplier selection and evaluation in supply chains. J. Clean. Prod. 140, 1686–1698 (2017)CrossRefGoogle Scholar
  3. 3.
    Y. Beikkhakhian, M. Javanmardi, M. Karbasian, B. Khayambashi, The application of ISM model in evaluating agile suppliers selection criteria and ranking suppliers using fuzzy TOPSIS-AHP methods. Expert Syst. Appl. 42(15–16), 6224–6236 (2015)CrossRefGoogle Scholar
  4. 4.
    N. Banaeian, H. Mobli, B. Fahimnia, I.E. Nielsen, M. Omid, Green supplier selection using fuzzy group decision making methods: a case study from the agri-food industry. Comput. Oper. Res. 89, 337–347 (2018)CrossRefGoogle Scholar
  5. 5.
    A. Azar, L. Olfat, F. Khosravani, R. Jalali, A BSC method for supplier selection strategy using TOPSIS and VIKOR: a case study of part maker industry. Manag. Sci. Lett. 1(4), 559–568 (2011)CrossRefGoogle Scholar
  6. 6.
    M.S. Dizaji, M.M. Mazdeh, A. Makui, Performance evaluation and ranking of direct sales stores using BSC approach and fuzzy multiple attribute decision-making methods. Decis. Sci. Lett. 7(2), 197–210 (2017)Google Scholar
  7. 7.
    Y.H. Lin, C.-C. Chen, C.F.M. Tsai, M.-L. Tseng, Balanced scorecard performance evaluation in a closed-loop hierarchical model under uncertainty. Appl. Soft Comput. J. 24, 1022–1032 (2014)CrossRefGoogle Scholar
  8. 8.
    Y. Wang, Fresh supplier selection and evaluation. Logist. Eng. Manag. 38(07), 175–176 (2016)Google Scholar
  9. 9.
    J. Zhang, Researching on the evaluation and construction of cold-chain logistics mode of dairy products. J. Tech. Econ. Manag. 11, 29–33 (2015)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.College of Economics and Management, Nanjing University of Aeronautics and AstronauticsNanjingChina

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