Simulation as a tool for continuous process improvement
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Future of simulation software: the current and future status of simulation software (panel)
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
How factory physics helps simulation
WSC '04 Proceedings of the 36th conference on Winter simulation
Validation of the re-design of a manufacturing work cell using simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Applying simulation to interative manufacturing cell design
WSC '05 Proceedings of the 37th conference on Winter simulation
Lean sigma and simulation, so what's the correlation?: V2
WSC '05 Proceedings of the 37th conference on Winter simulation
Validating the capacity planning process and flowline product sequencing through simulation analysis
WSC '05 Proceedings of the 37th conference on Winter simulation
Teaching with the problem solving power of simulation
Proceedings of the 38th conference on Winter simulation
Using multi-criteria modeling and simulation to achieve lean goals
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Using simulation with design for six sigma in a server manufacturing environment
Proceedings of the 40th Conference on Winter Simulation
Analyzing production modifications of a C-130 engine repair facility using simulation
Winter Simulation Conference
Concepts for simulation based value stream mapping
Winter Simulation Conference
Winter Simulation Conference
Computers and Industrial Engineering
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Lean methods have become the standard approach to the resolution of design and operational issues in production and other systems. However, the lean approach has deficiencies. The deficiencies that simulation can address are presented, discussed and illustrated. These deficiencies include modeling and assessing the effects of variation, making use of all available data, validating the effects of proposed changes before implementation as well identifying other possible improvements, and assessing the interaction effects between system components. Various industrial applications are presented that show that simulation was required to successfully address operational issues that the lean approach failed to identify and could not resolve.