Research On The Equipment Procurement Schemes Evaluation Of S Group Company

In recent years, with the third wave of automobile consumption, the purchasing power of domestic market is increasing as well as automobile sales market. As adverse inferred from the automobile industry chain, we could make the conclusion that the automotive industry will face greater challenges and opportunities in the near further. In this situation, many automobile manufacturing enterprises could make fast development, so will the automobile electronics industry do. It is a great chance for the enterprises to make a substantial expansion of production capacity so as to meets the increasing requirements of the automobile market. This paper made the evaluation of equipment procurement schemes in the process of the production expansion project in S Group Company.Firstly, the production orders for the next six years of three important products of S Group Company have been predicted by means of grey GM (1, 1) model in this paper. After that, comparing the orders with the production capacity, we could make the conclusion that the equipments of S Group Company can not satisfy the requirements of the market. Secondly, based on the analysis on the influencing factors of equipment procurement in S group company, we make a selection among initial indicators using the method factorial analysis by the software of Spass, and then we constructed the index system of equipment procurement schemes evaluation index system according to the feathers in the process of the selection of equipment procurement schemes. Thirdly, integrating the AHP model and Bayesian Netware model, we put forward a new model called the equipment procurement schemes evaluation model based on AHP-Bayesian Netware, besides we make some research on the properties of the model. Finally, the equipment procurement schemes have been evaluated by means of the model mentioned above, and a kind of software has been designed so as to simplify the processes of calculation, and the evaluation results could be easily adjusted along with the update of the information in the process of evaluation.