由於顧客對於產品多樣化及客製化的需求,其次是因應製造市場需求多樣化的趨勢下所產生的要求,如縮短交貨期、改進品質及降低工資成本等。為了能夠符合上述之要求,以及能夠適合於產品種類適中的中少量生產系統,彈性製造系統(Flexible Manufacturing System, FMS) 因此應運誕生,以便能快速地調整各種不同的製程,生產出不同的產品。本研究以建構良好彈性製造系統單元控制器,並引入模組化概念,建構出各類型機台設備模組模式;並應用現在正如火如荼展開的無線射頻辨識(Radio Frequency Identification, RFID)技術,整合RFID收集到加工機台製造時的即時資訊,即時寫入無線射頻辨識電子標籤裡,達到在製品追踨管控與分類等級,建立良好的彈性製造系統。 本研究以國立臺北科技大學製造執行系統實驗室內小型彈性製造系統的實體連線單元控制器為測試平台,與工業技術研究院之知識規則庫智慧型決策支援系統搭配整合,以現場監控和派工的動態模型來滿足客戶動態需求及解決製程多變的問題,以高階程式語言撰寫控制器程式透過不斷修正,得到良好控制架構。最後透過效能分析,比較各加工機台的利用率與工件的產出,驗證其智慧型派工與生產流程的可行性。
Owing to the demands for various and customized products to satisfy customers’ needs . The diversified trends of manufacturing fields, such as shortening delivery date, improving quality and reducing the cost, etc. are necessary to face the issues. In order to achieve the demands, the Flexible Manufacturing System (FMS), an efficient system to adjust all kinds of different processes and produce different products in a short time, is applied in this paper to solve most manufacturing problems. This research introduces that some modules of many kinds of machines are built and constructed with the concept of group module; and Radio Frequency Identification (RFID) Technology is used to collect the instant information when the processing machine is made. To track the real time status of WIP, the RFID module writes some data into tags when processing operation is finished. In this paper, a good controller of FMS will be constructed. To make the entity machines of FMS cell controller at Manufacturing Execution System Lab in NTUT, and combine with the Intelligent Decision Support System (IDSS) of the knowledge rule-based system in ITRI as the test platform, this paper is aimed at addressing this problem by proposing a dynamic shop floor control and dispatching model. In order to design the good controller, it is necessary to build the modules which can simulate and configure the manufacturing situation according to real state. Therefore, Visual Basic is adopted as the high-level program language to design the control program. Finally, through comparing the utilization ratio and the outputs of every processing machine by means of performance analysis, this paper demonstrates the feasibility of this solution in supporting intelligent dispatching and production.