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  • 學位論文

應用即時商業智慧於生產管理決策支援系統之研究-以CELL製造廠為例

Applying Real-Time Business Intelligence to Decision Support System for Production Management in the CELL Plant

指導教授 : 皮世明

摘要


生產管理決策支援系統可提供決策者適時適當的資訊以分析生產狀況。在製造業,由於自動化設備的大量採用,因此收集並統整了各項生產過程中所產生的資料,來幫助釐清影響生產績效的因素,達成維持良好的產品品質與生產效率之生產管理目標。 為使目標達成,首先,將系統的服務對象從原先的管理階層人員擴大至第一線工作人員,使其能在生產運作過程中適時做出適當的決策,讓生產績效提升。其次,隨著產品週期的縮短,更要藉由提升資料傳遞及資訊分析的速度才能滿足決策制定的品質。所以要改變分析資訊未能適時反應生產情報的現況,以協助工廠面對環境快速變化的趨勢。於是,工廠經營必須視需求來思考強化生產資料的即時性,以求快速反應工廠營運狀況,進而協助企業能快速調整經營策略。 有鑑於此,本研究將即時商業智慧(Real-Time Business Intelligence)觀點應用於生產管理決策支援系統,透過對CELL廠的人員訪談,了解其使用系統輔助決策制定的過程中所面臨的問題;接著訪談資訊部門人員判定問題可能發生因素,並請提供相對解決方案;最後綜合各項資料結合即時商業智慧概念,用整體性的思考模式探討,提出新一代生產管理決策支援系統的發展做法,讓工廠內部的生產資料做有效的循環及運用,以提升分析型系統之資料分析、彙整的效率。 本研究之研究發現說明如下: 1. 依即時商業智慧概念歸納出CELL廠人員在使用生產管理決策支援系統所面臨的問題。 2. 應用即時商業智慧概念尋求CELL廠人員所面臨的問題之解決方案與建議。 3. 結合即時商業智慧概念,建構出生產管理決策支援系統的建議方案。

並列摘要


Decision support system for production management can support decision-makers suitable and timely information. In the manufacturing industry, due to the reason that large number of automation equipments are used, the decision support system can collect and integrate information generated in the production process and help to clarify the factors affecting the production performance. By using this system, we can reach the goal to improve product quality and production efficiency First of all, we should enlarge the information system service range, providing users from the managerial staffs to the workers at the factory in order to help them make appropriate decisions in the production process in timely manner and to improve the production performance. Secondly, with the shortened product life cycle, we can improve the quality of decision-making by enhancing data transmission and speeding up information analysis. Therefore, to improve the data analysis that fails to respond production intelligence can help to face the rapid changeable trends in the environment. Therefore, factory operators must consider to strengthen the real-time information in order to response operation of the plant rapidly, and furthermore, they can help corporations adjust business strategy quickly. Thus, this thesis applied Real-Time Business Intelligence to decision support system for production management, through interviewing CELL plant staffs to generalize the problems which they use the decision support system; and interviewing IT department staffs to fine the possible reasons and solutions of these problems; finally we hope to organize all sorts of information and to construct the suitable framework of decision support system for production management. The main results in this study are as follows: 1. According to Real-Time Business Intelligence concept, we can conclude the problems which CELL plant staffs are facing during applying for the decision support system. 2. Applying Real-Time Business Intelligence concept, we can quest for the possible reasons and solutions of these problems. 3. Applying Real-Time Business Intelligence concept to construct the suitable framework of decision support system for production management.

參考文獻


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[7] Dasgupta, S. and Vankayala, V. K., “Developing Real Time Business Intelligence Systems the Agile Way, “ Systems Conference, April 2007, 1 – 7.

被引用紀錄


林怡婷(2009)。商業智慧系統的企業價值研究-以酒業為例〔碩士論文,中原大學〕。華藝線上圖書館。https://doi.org/10.6840/cycu200900846
涂國慶(2011)。應用商業智慧於網路安全之研究〔碩士論文,大同大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0081-3001201315111712

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