臺灣博碩士論文加值系統

五金製件具多製程、客製化與批量式生產特性，除需機器設備外，製程亦須依賴人工技術。受限於多製程與人工技術因素，產品品質與工時估算困難，交期控制與成本效能分析不易。為因應一例一休，做6休1加班趕工勞動條件與2025無核家園，2030碳排放量降至2005再減量20%政策及產品碳足跡標示環境管制規範的實施，製程納入操作與環境因素成為生產系統應有的設計。本研究導入RFID技術與電力監控系統蒐集作業批量與工時資料，作為適用於五金零組件製造之交期估算與生產效能分析系統。RFID用於蒐集批量作業工時資料，納入材料、能源以及正常、趕工之人工成本，電力監控技術則於以監控機台作業效率，建構成本效能與碳足跡標示目標之多目標規劃模式。本研究進一步建構模糊多目標規劃模式，並以實際案例進行模式測試及敏感度分析，研究結果可作為人工技藝與機器作業之客製批量式生產系統設計、個案廠商及相關產業在因應勞動條件與環境規範及學術研究之參考。

Manufacturing of sheet metal forming parts (SMFP) is characterized as multi-process production systems, customization, and batch production, and requires machinery operations and manpower skills. In compliance with a new labor regulation to restrict overtime hours and force labors at least one day off work after 6 day’s work and the policy of non-nuclear homes in 2025 to meet the goal of carbon emissions back to 2005 level with 20% reduction in 2030 with carbon footprint labeling (CFL). This study applies radio frequency identification (RFID) and electricity monitoring systems (EMS) technology to collect manufacturing data including time duration, materials, energy, and manpower costs with normal, and overtime. A multiple goal programming model with cost-effectiveness and CFL is then constructed and implemented by a SMFP firm. Analytical results presented in this work can help decision makers better understand the systematic analysis and potentials for the use of RFID with EMS on cost effectiveness and CFL in real applications for SMFP manufacturing firms, policy making for governments, and research invention for academics.

中文摘要 II
Abstract III
謝誌 V
目錄 VI
表目錄 VIII
圖目錄 X
第一章 緒論 12
1.1研究背景與動機 12
1.2研究目的 13
1.3研究範圍與限制 14
1.4研究架構 14
第二章 文獻探討 17
2.1五金製造 17
2.2電力監控 18
2.3 RFID技術發展與應用 20
2.4數學規劃 22
2.4.1多目標決策 22
2.4.2 模糊多目標規劃 23
2.5 碳足跡 25
2.6 小結 26
第三章 模式建構 28
3.1研究流程 28
3.2 模式基本假設 43
3.2 符號定義 45
3.3多目標規劃模式 47
3.3.1 目標函數 47
3.3.2限制式 48
3.4模糊多目標規劃模式 50
第四章 模式測試 55
4.1案例描述 56
4.2 模糊多目標模式分析 59
4.3 敏感度分析 67
第五章 結論與建議 73
參考文獻 75
作者簡介 82

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