Applying Learning Curve of Yield on Production Scheduling of Solar Cell Manufacturing

碩士 === 國立交通大學 === 管理學院工業工程與管理學程 === 100 === Under the issues of environmental protection and depletion of the natural resources, developing “renewable” and “green power” gains a lot of attention in Solar PV (Photo Voltaic) industry. Solar PV industry is a highly automatic industry with huge capitals...

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Bibliographic Details
Main Authors: Lin, Yi-Cheng, 林奕成
Other Authors: Tong, Lee-Ing
Format: Others
Language:zh-TW
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/74097305855904280221
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Summary:碩士 === 國立交通大學 === 管理學院工業工程與管理學程 === 100 === Under the issues of environmental protection and depletion of the natural resources, developing “renewable” and “green power” gains a lot of attention in Solar PV (Photo Voltaic) industry. Solar PV industry is a highly automatic industry with huge capitals and high technology. Due to its highly automation property. Solar Cell plant generally pays less attention on the learning effect. However, the learning effect of yield is indeed existed. Moreover, the learning curve has demonstrated to be useful for accumulating production experiences, improving process, planning production scheduling, pricing tactics, and etc. Therefore, the main objective of this study is to construct a learning curve of yield using the data obtained from a Solar Cell plant and utilized it to help Solar Cell manufacturer to make proper amending policy on its production scheduling.