| 摘要(英) |
Production information systems and manufacturing automation are inseparable. Various information technologies have been adopted in the manufacturing setting since the Industry 3.0 era. Production information systems have been used to track and manage all activities through out the entire production processes, especially for non-stop 24-hour operations in automated production lines. Real-time monitoring provided by the systems has been heavily relied upon to reduce human errors, and improve production efficiency.
This study looks into the problem facing Company C, which runs a non-stop 24-hour automated production facility. Its production information systems were installed back in 2004, and have been outdated. Ongoing and regular maintenance work is the key for the systems to provide stable services to its operations. In 2014, Company C was notified by Oracle, the original computer vendor, that the computer hardware executing the production information systems would face the EOS (end of support) situation by the end of 2015. EOS means that spare parts for maintenance would no be available, apart from those in stock. Once the parts runs out, the original vendor could not provide any further maintenance services. The EOS problem faced by Company C is a critical potential risk factor for any plant with automated production lines.
This study analyzed the related production information systems in Company C, and proposes a portfolio of action items to cope with the EOS problem. The solution was examined and found to be feasible.
Keyword: Production Information System migration, Migration Strategy, Solaris Platform. |
| 參考文獻 |
【英文文獻】
1. Glass, R. L., Vessey, I. (1999), Enterprise resource planning systems: Can they handle the enhancement changes most enterprises require, The Software Practitioner, 9(5), 1-12.
2. Jesús Bisbal et al. (1999), Legacy Information Systems: Issues and Directions, IEEE Software, 16(5), 103-111.
【中文文獻】
1. 吳冠儀 (2004)，資訊系統發展模式與移轉策略之研究，銘傳大學資訊管理學系碩士論文。
2. 莊新國 (2015)，T公司硬體平台世代更新的因應對策，中央大學資訊管理學系在職專班碩士論文。
3. 張碩毅、吳思穎、李俐嫻 (2009)，ERP系統維護管理與企業效益之研究，e-Business，11卷2期：頁311-338。
4. 蔡志雄 (2004)，既存資訊系統移轉模式之研究，世新大學資訊管理學系碩士論文。
5. 賴森堂 (2005)，以設計品質量測模式降低軟體異動維護成本，東吳經濟商學學報，第50期：頁67-87。
【網頁與網站】
1. CPT (2016), 中華映管股份有限公司，http://www.cptt.com.tw/cptt/chinese/index.php,取用日期：2016/06/03
2. Fujitsu (2016a), 富士通公司，http://www.fujitsu.com/global/, 取用日期：2016/06/03
3. Fujitsu (2016b), “Fujitsu M10 Roadmap,” http://www.fujitsu.com/global/products/computing/servers/unix/sparc/key-reports/roadmap/, 取用日期：2016/06/03
4. Fujitsu (2016c), “Fujitsu SPARC Servers Product Lineup,”
http://www.fujitsu.com/global/products/computing/servers/unix/sparc/lineup/index.html, 取用日期：2016/06/03
5. Oracle (2016a), 甲骨文公司，http://www.oracle.com/index.html,
取用日期：2016/06/03
6. Oracle (2016b), “Oracle Solaris Containers,” http://www.oracle.com/technetwork/server-storage/solaris/containers-169727.html,
取用日期：2016/06/03
7. Oracle (2016c), “Virtualization,” http://www.oracle.com/technetwork/server-storage/solaris11/technologies/virtualization-306056.html, 取用日期：2016/06/03
8. Wikipedia (2015), 瀑布模型，https://zh.wikipedia.org/wiki/瀑布模型,
取用日期：2015/11/04
9. Wikipedia (2016a), “Solaris (operating system),” https://en.wikipedia.org/wiki/Solaris_(operating_system), 取用日期：2016/06/01
10. Wikipedia (2016b), “Winston W. Royce,” https://en.wikipedia.org/wiki/Winston_W._Royce, 取用日期：2016/04/02
11. Wikipedia (2016c), “Waterfall model,” https://en.wikipedia.org/wiki/Waterfall_model, 取用日期：2016/05/23 |
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