Using Discrete-Event Simulation for Evaluating Non-Linear Supply Chain Phenomena(2011)
AbstractWe present a simulation model constructed in collaboration with Intel Corporation to measure and gauge the interaction of non-linear supply chain phenomena (such as waste, uncertainty, congestion, bullwhip, and vulnerability). A representative model that mimics part of Intel's supply chain from fabrication to delivery is modeled using discrete-event simulation in ARENA. A "phenomena evaluation" framework is proposed to link model inputs and supply chain phenomena in order to evaluate supply chain configurations. Using a sample supply chain decision (safety stock level determination) we follow the "phenomena evaluation" framework to illustrate a final recommendation. Results show that our supply chain phenomena evaluation approach helps better illustrate some trade-offs than an evaluation approach based only on the traditional metrics (cost, service, assets etc.).
- non-linear supply
Citation InformationXu Yang, E. E Blanco, E. Gralla, G. Godding, et al.. "Using Discrete-Event Simulation for Evaluating Non-Linear Supply Chain Phenomena" (2011)
Available at: http://works.bepress.com/xu_yang/4/