TY  - JOUR
AB  - In order to ensure the uninterrupted supply of items, the purchasing manager needs to evaluate suppliers' performance periodically. The evaluation process typically consists of identifying the attributes and factors relevant to the decision, and measuring the performance of a supplier by considering the relevant factors. Linguistic assessment of suppliers may be carried out based on several criteria. In this paper, an attempt has been made to evaluate the suppliers' performance by adopting an evolutionary fuzzy system. One of the key considerations in designing the proposed system is the generation of fuzzy rules. A genetic algorithm‐based methodology is developed to evolve the optimal set of fuzzy rule base, and a fuzzy inference system of the MATLAB fuzzy logic toolbox is used to assess the suppliers' performance. The proposed methodology, illustrated with the data collected in a process plant, provides acceptable results in determining the suppliers' performance score.
VL  - 15
IS  - 8
SN  - 1741-038X
DO  - 10.1108/17410380410565311
UR  - https://doi.org/10.1108/17410380410565311
AU  - Ohdar Rajkumar
AU  - Ray Pradip Kumar
PY  - 2004
Y1  - 2004/01/01
TI  - Performance measurement and evaluation of suppliers in supply chain: an evolutionary fuzzy‐based approach
T2  - Journal of Manufacturing Technology Management
PB  - Emerald Group Publishing Limited
SP  - 723
EP  - 734
Y2  - 2024/04/18
ER  -