A new fuzzy goal directed benchmarking for supplier selection

The success of a supply chain is extremely dependent on evaluation and selection of best suppliers. These decisions are a significant component of production and logistics management for many companies. In this paper, we extend the goal directed benchmarking theory proposed by Stewart (2010) for benchmarking and selecting suppliers in an uncertain environment. This extension is in recognition of the fact that benchmarking for suppliers is more than a pure monitoring process, and includes a component of future planning. In this paper, the proposed model utilises a goal programming structure to find points on the efficient frontier which are realistically attainable by suppliers in the presence of fuzzy data, but at the same time achieving a closer method to long term organisational goals (as distinct from the local performance of individual suppliers). A numerical example is presented to demonstrate the applicability of the proposed approach.