Aggregate production planning with small data in TFT-LCD manufacturing

Chia Yen Lee, Ming Chien Chiang

研究成果: Conference contribution

摘要

This study proposes a two-phase research framework to address the problem of capacity-demand mismatch in the high-tech industry. In the first stage, due to the characteristics of small data, we apply the virtual data generation process (VDGP) to support the data learning for demand forecast. In the second stage, based on the demand scenarios, a robust capacity decision is provided by the stochastic programming (SP) technique and the minimax regret (MMR) technique addressing demand uncertainty. We conduct an empirical study of a TFT-LCD firm to validate the proposed framework. That result shows that the proposed framework, in particular the SP technique, provides a robust capacity levels addressing the problem of capacity-demand mismatch.

原文English
主出版物標題2015 IEEE Conference on Automation Science and Engineering
主出版物子標題Automation for a Sustainable Future, CASE 2015
發行者IEEE Computer Society
頁面647-648
頁數2
ISBN(電子)9781467381833
DOIs
出版狀態Published - 2015 十月 7
事件11th IEEE International Conference on Automation Science and Engineering, CASE 2015 - Gothenburg, Sweden
持續時間: 2015 八月 242015 八月 28

出版系列

名字IEEE International Conference on Automation Science and Engineering
2015-October
ISSN(列印)2161-8070
ISSN(電子)2161-8089

Other

Other11th IEEE International Conference on Automation Science and Engineering, CASE 2015
國家/地區Sweden
城市Gothenburg
期間15-08-2415-08-28

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 電氣與電子工程

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