Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Sensitivity of output performance measures to input distributions in queueing simulation modeling
Proceedings of the 29th conference on Winter simulation
Modeling and analysis of stochastic systems
Modeling and analysis of stochastic systems
Empirical input distributions: an alternative to standard input distribution in simulation modeling
WSC '91 Proceedings of the 23rd conference on Winter simulation
Criticality of detailed modeling in semiconductor supply chain simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
CSCAT: the Compaq Supply Chain Analysis Tool
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Proceedings of the 32nd conference on Winter simulation
Using simulation to analyze supply chains
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Adapting a Supply-Chain Simulation for HLA
DS-RT '00 Proceedings of the Fourth IEEE International Workshop on Distributed Simulation and Real-Time Applications
Simulation of manufacturing systems
Applied system simulation
Modeling and analysis of a generic cross-docking facility
WSC '05 Proceedings of the 37th conference on Winter simulation
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More efficient and effective control of supply networks is conservatively worth billions of dollars to the world economy. Adopting an approach by which the basic disciplines of Industrial Engineering, Control Engineering, System Simulation and Business Re-Engineering are integrated into one comprehensive system has been known to produce impressive results. This paper discusses a modular approach to develop a discrete event simulation model that has the appropriate level of abstraction to capture the inherent complexities that exist in a supply chain and is yet simple, fast and produces results of high fidelity. It discusses a method to parameterize each module by fine-tuning a few parameters to make it represent an entire factory, a warehouse or a transportation link.