An analysis of an optical coating process capability prediction model in a Six Sigma procedure by integrating APIBPN and K-means

2012 ◽  
Vol 44 (1/2) ◽  
pp. 17 ◽  
Author(s):  
Wen Tsann Lin ◽  
Shen Tsu Wang ◽  
Meng Hua Li ◽  
Chiao Tzu Huang ◽  
Han Yi Huang
2021 ◽  
Vol 891 ◽  
pp. 174-182
Author(s):  
Supachart Muangyai ◽  
Parames Chutima

This research focused on defects reduction in spheroidal graphite iron casting process of a jackscrew manufacturer in which graphite nodularity was lower than a given specification (75%). This situation could lead to serious issues and accident to end-users. The Six Sigma approach of DMAIC was employed to identify and eliminate the problems. The result obtained after implementing the Six Sigma showed that the process capability was improved from-0.47 to 2.04, and the average per cent graphite nodularity was increased significantly from 61.49% to 86.43%.


2011 ◽  
Vol 201-203 ◽  
pp. 1529-1534
Author(s):  
Hui Zhen Zhao ◽  
Li Li Meng ◽  
Chun Guang Lu

According to the quality problems in one saw blade enterprise, six Sigma theory and method are used to improve the quality o f saw blades, and establish the 6σ DMAIC improvement model. Six sigma DMIAC procedures are applied to define the problems and set at target for improvement, the main quality are investigated, and measurement systems and process capability are evaluated. Then, we set a specific program for the improvements. At last, the project is successfully implemented, result shows that failure rate reduced to 0.3%, DPMO dropped below 160, and the process capability is improved largely.


2013 ◽  
Vol 462-463 ◽  
pp. 578-584
Author(s):  
Kulpiya Seri ◽  
Senjuntichai Angsumalin

This research applies Six Sigma approach in order to reduce defect by increasing the assembly process capability index (Cpk) of Integrated Circuit (IC) production process. This study applies five phases (DMAIC) of Six Sigma approach beginning with define (D), measure (M), analyze (A), improve (I) and control (C) phases, respectively. The response of the research identified in the define phase is the chipped width with Cpk of 0.66 determined from the measure phase. The half-factorial experiments are implemented in the analyze phase to find the significant factors which are water temperature, water pressure and feed rate. In improve phase, the additioanl expriments are performed according to the Box-Behnken design in order to determine the non-linear relation between the chipped width and all mentioned factors. The optimal setting of each factors are determined by applied the response surface optimizer. Under the optimal setting, the control charts are used in the control phase to monitor the chipped width. The resulted Cpk of the response is increased to 1.39 which is greater than the one-sided accpetable process capability of 1.25.


2011 ◽  
Vol 403-408 ◽  
pp. 680-682
Author(s):  
Tsung Hsin Hung ◽  
Wen Tsann Lin ◽  
Shen Tsu Wang ◽  
Meng Hua Li ◽  
Shih Chieh Chang

This study used Six Sigma DMAIC five-phase improvement procedures for an empirical research on a multinational optical interconnect manufacturer. The Taguchi method was used for the design of experiment, and the data obtained from the orthogonal table were used to determine the key factors and levels, in order to propose the optimal combination of processing parameters and levels for fiber patch cord 3D polishing. The combination of rough polishing time of 30s, polishing pressure of 0.02pa, polishing pad hardness of 65 degrees, and the fine polishing time of 80s could produce the fittest parameters for a satisfactory level, reduce the defect rate and waste of production cost, and reach the Six Sigma standard. The results proved that the improved process capability model, as constructed by this study, can effectively improve the apex offset quality of fiber patch cords. The findings can serve as references for engineers to improve the quality and production process capability.


Sign in / Sign up

Export Citation Format

Share Document