Hartono, Hartono and Baskoro, Gembong and Sumarsono, Sumarsono (2021) Improving Quality on Tire Curing Process by Using Six Sigma and Failure Mode and Effects Analysis (FMEA) Method in Indonesia Leading Tire Manufacturer. Masters thesis, Swiss German University.
|
Text
Hartono 21952012 TOC.pdf Download (1MB) | Preview |
|
Text
Hartono 21952012 1.pdf Restricted to Registered users only Download (1MB) |
||
Text
Hartono 21952012 2.pdf Restricted to Registered users only Download (2MB) |
||
Text
Hartono 21952012 3.pdf Restricted to Registered users only Download (591kB) |
||
Text
Hartono 21952012 4.pdf Restricted to Registered users only Download (3MB) |
||
Text
Hartono 21952012 5.pdf Restricted to Registered users only Download (276kB) |
||
|
Text
Hartono 21952012 Ref.pdf Download (466kB) | Preview |
Abstract
Tires are one component of transportation that has a very important role. Because the tires on the vehicle are direct contact with the road surface and affect safety. Truck Bus Bias Tire Manufacturer increased production during pandemic Covid-19. The tire production process requires production parameters according to specifications. Defect under cure is the highest defect during the period 2018-2020 (10.992 ppm). This research using the Six Sigma method and Failure Mode and Sffect Analysis. This method is a continuous improvement system that can be applied to solve a problem. Improvement will be made to the curing machine that contributes to the highest defect under cure and to machine components that have the highest risk priority number. Defect under cure was caused by deviation from one of the curing process specifications. Deviation was due to failure in the pneumatic system, namely no lubrication in pneumatic system (63.81%). Improvement made was the installation of an air lubricator on the curing machine. Improvement of the process using Six Sigma dan FMEA resulting in reduce defect under cure as from average 372 ppm to average 235 ppm. Preventive maintenance to maintain standard curing specifications on machine components that have the highest risk priority number.
Item Type: | Thesis (Masters) |
---|---|
Uncontrolled Keywords: | Six Sigma, FMEA, DMAIC, Tire, Defect |
Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD9980.5 Service industries--Quality control T Technology > TJ Mechanical engineering and machinery T Technology > TJ Mechanical engineering and machinery > TJ163.12 Mechatronics T Technology > TS Manufactures > TS155 Lean manufacturing |
Divisions: | Faculty of Engineering and Information Technology > Department of Mechatronics Engineering |
Depositing User: | Faisal Ifzaldi |
Date Deposited: | 20 Aug 2021 02:06 |
Last Modified: | 20 Aug 2021 02:06 |
URI: | http://repository.sgu.ac.id/id/eprint/2182 |
Actions (login required)
View Item |