整合RFID監控系統與模糊多目標規劃在客製化五金製造效能決策之應用

Integration of RFID monitoring systems and fuzzy multiple objective planning for customization metal hardware on production effective decision

謝侑恩(Yu-En Hsieh)

指導教授 ： 王貳瑞

國立屏東科技大學/管理學院/工業管理系所/碩士(2014年)

https://doi.org/10.6346/NPUST.2014.00086

摘要

本研究整合RFID監控系統與模糊多目標規劃方法，針對客製化生產之流程，建構生產決策模式，以找尋最佳生產決策方案。本模式利用RFID監控系統蒐集生產製造過程之相關數據與資料，除考量產品加工和趕工數量之不確定性、重工時間產生之可能以及生產相關成本，包括：材料成本、委外成本、製造成本、人工成本外，亦加入能源耗用作為考量因素，並以總成本與能源耗用極小化為目標，建構一模糊多目標分析模式，找尋最佳生產決策方案。最後再透過實際案例進行模式之測試，驗證模式之正確性，以提供企業未來之參考。

關鍵字

無線射頻技術 ； 模糊多目標規劃 ； 客製化生產 ； 五金製造

並列摘要

Metal steel making currently embodies the trend of customization and batch production resulting in difficulties of cost control. This study integrates RFID monitoring systems with fuzzy multiple objective linear programming (FMOLP) method to formulate a manufacturing decision model with cost minimization for steel making procedures. Operations data collected from manufacturing procedures were accordingly transferred into the model and therefore manufacturing decisions can be made. Cost factors considered in the model were materials, outsourcing, manufacturing, and manpower. To make the model more applicable, costs related to rework and overtime were also included. In consideration of energy consumption, the proposed model was formulated as minimizing two objectives of total cost and energy use. The applicability of the RFID monitoring systems with the proposed model is assessed by using the anchor manufacturing in a yacht metal steel plant. The RFID devices were practically installed in each work station for collecting manufacturing data and connecting to the proposed model. Various designed scenarios are analyzed to identify the manufacturing options for metal steel making in a yacht manufacturing factory. The analytical results in this study can help decision makers to systematically analyze the cost effectiveness of metal steel making during capacity planning in practical application.

並列關鍵字

RFID ； FMOLP ； customization ； metal steel making

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