2024-03-28T17:13:13Z
https://nagoya.repo.nii.ac.jp/oai
oai:nagoya.repo.nii.ac.jp:00010289
2023-01-16T03:56:06Z
659:1125:1126
USING OPERATION PROCESS SIMULATION FOR A SIX SIGMA PROJECT OF MINING AND IRON PRODUCTION FACTORY
Chinbat, Undram
Takakuwa, Soemon
open access
Copyright © 2008 IEEE. Reprinted from Winter Simulation Conference, 2008. WSC 2008. p.2431-2438. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
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.
IEEE
2008-12
eng
journal article
VoR
http://hdl.handle.net/2237/12109
https://nagoya.repo.nii.ac.jp/records/10289
https://doi.org/10.1109/WSC.2008.4736351
Winter Simulation Conference (WSC 2008)
2431
2438
https://nagoya.repo.nii.ac.jp/record/10289/files/304Chinbat_Takakuwa_WSC2008.pdf
application/pdf
849.3 kB
2018-02-20