A Multiple Criteria Decision-Making Method for Enterprise Supply Chain Finance Cooperative Systems

An enterprise supply chain finance cooperative system that interacts with bank, buyer and supplier environment may not have sufficient knowledge of the environment, and it is the responsibility of the environment observation units to communicate the environment context parameters to the system. This study purpose is to integrate group decision-making (GDM) approach, cooperative neural network (CNN), multi-agent and service-oriented architecture (SOA) with data warehousing to developing a multiple criteria decision-making (MCDM) method for enterprise supply chain finance cooperative system. It consists of three main components. The first component is an enterprise supply chain finance cooperative system model based on multiple criteria decision-making. In the second component, a MCDM method for enterprise supply chain finance cooperative system is proposed. The third component is a MCDM method for enterprise supply chain finance cooperative systems based on shoes manufacturing industry, an example as tested on MCDM problems for supply chain finance is presented to illustrate its effectiveness.