Simulation-based supply-chain optimization for consumer products
WSC '96 Proceedings of the 28th conference on Winter simulation
Supply chain simulation with LOGSIM-simulator
Proceedings of the 30th conference on Winter simulation
The value of simulation in modeling supply chains
Proceedings of the 30th conference on Winter simulation
Experience using the IBM supply chain simulator
Proceedings of the 30th conference on Winter simulation
A simulation model to study the dynamics in a service-oriented supply chain
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
Supply chain vs. supply chain: using simulation to compete beyond the four walls
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Using simulation to analyze supply chains
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling Using @Risk
Simulation Modeling Using @Risk
Simulation Made Easy: A Manager's Guide
Simulation Made Easy: A Manager's Guide
Analysis of a customer demand driven semiconductor supply chain in a distributed simulation test bed
WSC '04 Proceedings of the 36th conference on Winter simulation
A conceptual model for the creation of supply chain simulation models
WSC '05 Proceedings of the 37th conference on Winter simulation
Supply chain simulation modeling made easy: an innovative approach
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
International Journal of Data Analysis Techniques and Strategies
Determining the best harvesting practices for the South African sugar supply chain, using simulation
EMS '07 Proceedings of the Third IASTED International Conference on Environmental Modelling and Simulation
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In the last few decades, a lot of company effort has been spent in the optimization of internal efficiency, aiming at cost reduction and competitiveness. Especially over the last decade, there has been a consensus that not only the company, but the whole supply chain in which it fits, is responsible for the success or failure of any business. Therefore, supply chain analysis tools and methodologies have become more and more important. From all tools, spreadsheets are by far the most widely used technique for scenario analysis. Other techniques such as optimization, simulation or both (simulation-optimization) are alternatives for in-depth analysis. While spreadsheet-based analysis is mainly a static-deterministic approach, simulation is a dynamic-stochastic tool. The purpose of this paper is to compare spreadsheet-based and simulation-based tools showing the impacts of using these two different approaches on the analysis of a real (yet simplified) supply chain case study.