An Analysis of Retail Supply Chains: Time Based Simulation in Neural Networks and Maximum Flow Networks

Abstract

 Contemporary supply chain management  systems need not only be
 adaptive to changing needs of to consumers but also to the varying
terms amongst the members of the supply chain. Moreover, the ontime availability  of services and goods is imperative for retaining 
customers.  Hence, irrespecti espective of a new supplier supplier becoming a partner
of the supply chain or an old  supplier exiting the business, the
demand must be met keeping  cost constraints into  account. Supply
chain management is a cross-functional approach that involves
managing  the movement of raw materials materials into an organization, 
processing  of materials  into finished goods and finally finally providing
finished  goods to the end  consumers. In this paper, the concept of
SCM has been perused with the approach of network flows applying applying
maximum flow network algorithm of graph.