TY - JOUR AB - Purpose– The purpose of this paper is to analyse the efficiency and benefits of supply chain (SC) scientifically and validate the usability of methods on performance evaluation index system.Design/methodology/approach– At the performance evaluation index, the enhanced balanced scorecards (BSC) are developed based on the BSC. Regarding society environment and future development, the construction of performance evaluation index system includes five aspects such as finance, customer service, intra‐flow process, learning and development, and society development within SC. The indexes of performance evaluation system are all quantified to achieve their practical application. Another new point is that the logarithm triangular fuzzy number‐analytic hierarchy process (AHP) method expanding from fuzzy environment and developing from traditional AHP method is creatively used to evaluate the integrative performance evaluation index system.Findings– The enhanced BSC and the special AHP method can overcome some disadvantages that experts directly give definite numbers when the traditional method is used to value certainty and evaluate the qualitative index. It is a scientific qualitative and quantitative evaluation tool.Research limitations/implications– Accessibility and availability of data are the main limitations affecting which model will be applied.Practical implications– This paper is a very useful method for SC managers.Originality/value– The new approach of performance evaluation index system is attempted due to structure and fuzzy sets. The paper is aimed at operational researchers, engineers and special managers. VL - 38 IS - 10 SN - 0368-492X DO - 10.1108/03684920910994277 UR - https://doi.org/10.1108/03684920910994277 AU - Yang Jianhua ED - Mian‐yun Chen ED - Yi Lin ED - Hejing Xiong PY - 2009 Y1 - 2009/01/01 TI - Integrative performance evaluation for supply chain system based on logarithm triangular fuzzy number‐AHP method T2 - Kybernetes PB - Emerald Group Publishing Limited SP - 1760 EP - 1770 Y2 - 2024/04/23 ER -