Introduction to the art and science of simulation
Proceedings of the 30th conference on Winter simulation
Six sigma: enhancing six sigma through simulation with iGrafx process for six sigma
Proceedings of the 33nd conference on Winter simulation
Simulation with Arena
Crystal ball® and design for Six Sigma
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation and optimization as effective DFSS tools
WSC '05 Proceedings of the 37th conference on Winter simulation
The use of discrete event simulation in a design for six sigma project
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
The application of simulation methodology in a hospital's six sigma project
WSC '05 Proceedings of the 37th conference on Winter simulation
Using simulation analysis for mining project risk management
Winter Simulation Conference
Operations modeling and analysis of open pit copper mining using GPS tracking data
Proceedings of the Winter Simulation Conference
Operations modeling and analysis of an underground coal mine
Proceedings of the Winter Simulation Conference
Simulation and optimization of haulage system of an open-pit mine
Proceedings of the 2013 Summer Computer Simulation Conference
Hi-index | 0.00 |
The use of the Operation Process Simulation (OPS) for Six Sigma Projects (SSP) can illustrate visual display of the process by enabling to define, measure, analyze and improve the current process virtually but realistically. This paper investigates the quantitative benefits of using the Design for Six Sigma (DFSS) technique for a SSP in a Mining and Iron Production Factory (MIPF). The DFSS was deployed through five distinct phases: DMAIC, for optimizing the current MIPF as a first part of the research. The second part of the research investigates the possibilities of developing the deliverables of the DMAIC for a DMADV for implementing a new MIPF. Use of the OPS in all phases of the DMAIC has provided highly effective and accurate prediction for factory process improvement. Furthermore, the paper explored the effective possibilities of developing the deliverables of the DMAIC for the DMADV for building new MIPF.