Design considerations for multi-fiber ferrule manufacturing

Lin, Tsung Yin

doi:10.1016/j.yofte.2005.10.001

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…This study concluded the optimum processing conditions for improving the yield rate of 3D processing in order to reduce the production cost of the fiber patch cord, allowing the fiber patch cord products to be more competitive, and the high speed bandwidth of optical fiber network to have wider applications. The purpose of this study is to apply Six Sigma DMAIC procedures, and use cause-and-effect diagrams and FMEA to discuss the key factors influencing the quality [1,2,3,4,5]. Moreover, the parameter design of the Taguchi method is used to determine, improve and control the factors and parameters influencing the process in order to improve the 3D polishing process capability and yield rate for fiber patch cord efficiently [6].…”

Section: Introductionmentioning

confidence: 99%

Using Taguchi Method to Improve 3D Polishing Process Capability for Optical Fiber

Hung

Lin

Wang³

et al. 2011

AMR

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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.

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Section: Introductionmentioning

confidence: 99%