Development of supplier evaluation methodology in the implementation of innovative projects

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The paper contains a description of the methodology that enables the selection of suppliers according to the criteria developed by the authors. The methodology involves the construction, training, and use of a machine learning model. The model is based on the principle of separation. Consequently, the model evaluates the supplier as attractive or unattractive for cooperation by assigning the appropriate class. By applying the proposed methodology, the evaluation of the supplier is based on an analysis of its performance, which minimizes the impact ofsubjective factors. The proposed methodology makes it possible to predictfuture results of interaction and preserve the history of cooperation with suppliers, which contributes to the formation of a competitive and transparent supplier market.

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Supplier evaluation methodology, evaluation criteria, machine training, random forest method, product quality management

Короткий адрес: https://sciup.org/148324155

IDR: 148324155

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