Abstract
This paper designs a bidding and supplier evaluation model focused on strategic product procurement, and develops their respective evaluation knowledge bases. The model is built using the most relevant variables cited in the reviewed procurement literature and allows to compare two evaluation methods: a factor weighting method (WM) and a fuzzy inference system (FIS). By consulting an expert panel and using a two-tuples symbolic translation system, strong fuzzy partitions for all model variables are built. The method, based on central symmetry, permits to obtain the fuzzy label borders from their cores, which have been previously agreed among experts. The system also allows to agree the fuzzy rules to embed in the FIS. The results show the FIS method’s superiority as it allows to better manage the non-linear behavior and the uncertainty inherent to the supplier evaluation process.
Highlights
In recent years, researchers and practitioners have intensified their studies on suppliers’ selection and evaluation (SSE), as those are complex and fundamental processes to achieve flexible and efficient supply chains [1]
The model is focused on the purchase of strategic products and allows the purchasing process to be systematized regardless of the subjective opinion of the purchasing process’ lead
The model performance has been appraised by two methods: a weighted-point method and a fuzzy inference system
Summary
Researchers and practitioners have intensified their studies on suppliers’ selection and evaluation (SSE), as those are complex and fundamental processes to achieve flexible and efficient supply chains [1]. These processes are crucial among others, to face the growth of outsourcing [2], to facilitate the maintenance of long-term collaboration and to reduce the number of reliable suppliers who work with [3]. The SSE process seeks to review, evaluate and choose the appropriate suppliers that should be part of the company supply chain [9]. Those should be able to supply the requested products/services in the appropriate quantities, prices and deadlines [10]
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