生產系統於先進智能製造之展望__臺灣人文及社會科學引文索引資料庫

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題名：	生產系統於先進智能製造之展望
書刊名：	管理與系統
作者：	王立志／范書愷／丁慶榮／郭財吉／林春成／許嘉裕
作者(外文)：	Wang, Li-chih／Fan, Shu-kai／Ting, Ching-jung／Kuo, Tsai-chi／Lin, Chun-cheng／Hsu, Chia-yu
出版日期：	2018
卷期：	25:3
頁次：	頁381-412
主題關鍵詞：	生產系統；智能生產；大數據分析；物聯網；智能物流；永續生產；Production system；Smart production；Big data analytic；IoTs；Intelligent logistics；Sustainable production
原始連結：	連回原系統網址
相關次數：	被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0) 排除自我引用:1 共同引用:29 點閱:24

隨著感測技術的進步，整合資通訊技術、網路、感知等跨領域以發展智能製造技術將成為製造業未來持續發展的動能。台灣製造業在傳統產業與科技產業長期累積的優勢也開始受到鄰近亞洲國家的威脅，產業成長的表現已逐漸趨緩，製造業更需要轉變為生產智慧化，自主調整生產環境與產線之產能、資源與能源配置發展，以及自主調整上下游供應配送，並輔助人員正確快速完成各種操作組裝，建立完整產品生產履歷，可即時追蹤生產進度。另一方面，製造業面臨外部環境快速變化與成本的競爭壓力，除了硬體設備的提升外，更需要的是預測性分析的能力，以提升生產製造、行銷和資訊科技等方面的營運效率和競爭優勢。面對物聯網與大數據分析時代，生產系統與管理領域研究也開始在轉變。本研究整理現今製造業在生產系統智能化方面相關研究，針對智能生產、大數據分析、物聯網、智能物流、永續生產等不同方向說明未來值得投入的研究方向。

以文找文

With the advanced sensing technology, the integration of communication technologies and network cross different area has become the continuously development of manufacturing industry. The long-term accumulations of competitiveness and advantage for manufacturing industry in Taiwan have also begun to be threatened by neighboring Asian countries. The industrial growth has gradually slowed down, and the manufacturing industry needs to be transformed into smarter production for self-adjustment in the production capacity. Additionally, the upstream and downstream in supply chain are adaptively adjusted and assisted to quickly and correctly complete various operations and assembly. On the other hand, the manufacturing industry is facing competition from rapid changes in the external environment. In addition to the upgrading of hardware, it also requires the ability of predictive analysis to improve operational efficiency in manufacturing, marketing, and information technology. Faced with the Internet of Things (IoTs) and the big data analytics, research in production systems and management is also beginning to change. This study reviews out the current research regarding the intelligent manufacturing, and explains the future research directions that are worth investing in smart production, big data analysis, IoTs, smart logistics, and sustainable production.

以文找文

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3.	Klat, W.、Stummer, C.、Decker, R.(2016)。From Web Analytics to Product Analytics: The Internet of Things as a New Data Source for Enterprise Information Systems。Vienna, Austria：Springer International Publishing。145-155。
4.	Sadeghi, A. R.、Wachsmann, C.、Waidner, M.(2015)。Security and Privacy Challenges in Industrial Internet of Things。San Francisco, CA：IEEE Press。1-6。
5.	Wang, Y.、Zhang, M.、Zuo, Y.(2016)。Potential Applications of IoT-based Product Lifecycle Energy Management。Hefei：IEEE Press。1999-2002。
6.	Yang, C.、Huang, G. Q.、Shen, W.(2016)。Open and Collaborative Product Design and Production in IoT-enabled Manufacturing Cloud。Budapest：IEEE Press。4124-4129。

研究報告
1.	Walker, T.、Stark, D.(2010)。ISMI Predictive Preventive Maintenance Implementation Guideline。

圖書
1.	Elkington, J.(1997)。Triple Bottom Line of 21st Century Business。Stony Creek, CT：New Society Publishers。
2.	Kuhnle, H.(2015)。Foundations &. Principles of Distributed Manufacturing。Springer。
3.	Simchi-Levi, D.、Kaminsky, P.、Simchi-Levi, E.(2008)。Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies。New York：McGraw-Hill Companies, Inc。
4.	WBCSD(1998)。CSR: Meeting changing expectations。

單篇論文
1.	行政院(2015)。生產力4.0發展方案(民國105-113年)，行政院科技會報。延伸查詢

其他
1.	經濟部工業局(2017)。歐盟環境足跡，https://projftisorgtw/isdn/Carbon/Index/A66B50E5E25FD8E9。延伸查詢
2.	Columbus, L.(2015)。Ten Ways Big Data Is Revolutionizing Supply Chain Management，https://www.forbes.com/sites/louiscolumbus/2015/07/13/ten-ways-big-data-is-revolutionizing-supply-chain-management/#5ceb09fe69f5。
3.	Omni-channel Logistics，http://www.dhl.com/content/dam/downloads/gO/about_us/logistics_insights/dhl_trendreport_omnich annel.pdf。

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