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

Content Provider	IEEE Xplore Digital Library
Author	Liu Xiang
Copyright Year	2009
Abstract	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.
Starting Page	120
Ending Page	125
File Size	258845
Page Count	6
File Format	PDF
ISBN	9781424434695
DOI	10.1109/ICONS.2009.14
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-01
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decision making Supply chains Finance Cooperative systems Service oriented architecture Context Neural networks Cellular neural networks Warehousing Footwear Data Warehousing Multiple Criteria Decision-making Cooperative Neural Network Multi-agent Supply Chain Finance
Content Type	Text
Resource Type	Article

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