Research On Supplier Selection Model In Industry Supply Chain

The problem of selecting suppliers is a crucial and important part in the process of decision making for companies that intend to perform competitively in their area of activity. The selection of supplier is a time and resource-consuming task that involves data collection and a careful analysis of the factors that can positively or negatively influence the choice. Nevertheless it is a critical process that affects significantly the operational performance of each company. In this work, there were identified eight broad selection criteria: Technological Capability, Flexibility, Quality, Financial, Delivery, Relationship, Organizational culture and strategy, and price. Within these criteria, it was also included twenty-two sub-criteria. After the identification criteria, a survey was elaborated and companies were contacted in order to understand which factors have more weight in their decisions to choose the partners. Interpreted the results and processed the data, it was adopted a model of linear weighting to reflect the importance of each factor. The model has a hierarchical structure and can be applied with an objective function method. This model is using an artificial neural network(ANN) to improve the objective function by recalculating the weight of the criteria that’s Help Company to do the right choice. The goal of the paper it’s to help the buyer/company to build an evaluation and selection reference model that can represent an orientation/pattern for a decision making on the suppliers’ selection process.