Research On Supplier Relation Evaluation And Selection Of Mixture Enterprise Driving By Order

Confronted with the increasingly severe challenges of the new environment characterized of the economic globalization of the world market and the individualization of the customers' demand, how enterprises,on the basis of scientific selection and evaluation,find and help grow their strategic suppliers based on strategic cooperation,so as to improve their core competition and gain advantages in the competition. This has been an important subject confronting management science in the recent years.In this paper, suggested that the building of relationship and the supplier's selection and evaluation system should base on enterprise's demands and characteristics.It researched supplier management of Mixture Industries driving by order to enrich this area, because the supplier management researches are all about discrete manufacturing and process manufacturing in the former.First, this paper review the background of the researches about supplier management and the development of enterprise's supplier management and the results of relative researches, then suggested this paper's viewpoint.Second, under the direction of the relative theory, built supplier management Strategies and relationship model of Mixture Industries driving by order from the deeply research of Mixture Industries'characteristics. Besides make out supplier strategies from developing views, creating the relationship of industry alliance according to Mixture Industries driving by order's special characteristic. Meanwhile, established relationship model from the importance of the product and enterprise's position.Third, Built Supplier selection and evaluation index system according to supplier's history achievement effect, supplier's internal characteristics and Strategy factors.At last, by combining with the real case, the selection for the partner supplier is analyzed on the base of fuzzy Analytic Hierarchy Process. Showed the use of the model ,tested and verified the model's effect and feasibility.