Bullwhip effect (BWE) refers to the accumulation of
stock flowing up and down along the supply chain management
(SCM). It reduces the operating efficiency of the chain and
blocks the operating resources. Some of the common causes of
BWE are demand order variations, long lead times, competence
defects between supply chain links, lack of communication
among links in the chain, etc. There have been efforts to overcome
these issues. However, very little work has been reported
based on formal representation and analysis of resource flow in
the supply chain system. In this work, a novel framework is
proposed using Generalized Stochastic Petri-net (GSPN) model
towards handling this issue in a distributed scenario. The analysis
on the stochastic nets allows identifying the bottlenecks in
the supply chain echelons along with customer relationship
management (CRM). This has been used to rebuild infrastructure
with the end-objective of reducing the BWE
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