國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

量測系統分析對MIL-STD-1916抽樣計畫之影響 = Effects...

國立高雄大學亞太工商管理學系碩士班

量測系統分析對MIL-STD-1916抽樣計畫之影響 = Effects of Measurement System Analysis on the Sampling Plan of MIL-STD-1916

紀錄類型:	書目-語言資料,印刷品 : 單行本
並列題名:	Effects of Measurement System Analysis on the Sampling Plan of MIL-STD-1916
作者:	黃信穎,
其他團體作者:	國立高雄大學
出版地:	[高雄市]
出版者:	撰者;
出版年:	2009[民98]
面頁冊數:	62面圖、表 : 30公分;
標題:	MIL-STD-1916
標題:	MIL-STD-1916
電子資源:	http://handle.ncl.edu.tw/11296/ndltd/86162343050751810515
附註:	指導教授：莊寶鵰
附註:	參考書目：面
摘要註:	驗收抽樣(Acceptance Sampling)在統計品質管制中扮演著重要的角色，主要為檢驗供應商(賣方)所提交的物件是否合於品質標準的要求，確保製程的產品符合買方的要求，1996年4月由美國國防部所發行美軍標準1916抽樣計畫(簡稱MIL-STD-1916)作為物料檢驗的決策模式，MIL-STD-1916的主要目的在於鼓勵供應商在生產製造過程中建立品質系統的持續改善及採用預防性製程管制來提升品質水準，希望藉由建立品質系統達到供應鏈合作夥伴之間的互動關係，因此MIL-STD-1916之計量值抽樣檢驗決策標準以製程能力指標取代MIL-STD-105E以允收品質水準(Acceptable Quality Level, AQL)為主要檢驗策略，MIL-STD-1916雖比MIL-STD-105E的AQL能使供應商做品質持續改善，但在評估製程能力前，必須對量測系統加以分析，並改善量測變異以精確地評估真正製程能力。本研究藉由品質損失概念與量測系統分析為基礎，發展出考慮量測系統的MIL-STD-1916抽樣計畫，量測系統分析主要在評估量測系統的變異對於工業製造產品的影響程度，並且針對檢驗人員量測零組件(Parts)所產生的偏差程度，瞭解量具(Gauge)產生了多少變異、使用量具的檢驗人員(Operators)產生了多少變異以及檢驗人員與零件間有無交互作用的效果。研究結果發現，此抽樣計畫可以清楚分辨產品變異是來自於零件，或是量測系統變異導致好批被拒收，發生生產者風險的機率降為最低的情況，如此，將可以保障生產者所生產的產品，不會因量測系統的優劣導致產品遭拒收的情況，本研究亦提供買方最佳量測人員數與重複量測次數的組合已達成最小的量測變異，藉由量測系統變異修正MIL-STD-1916未考慮量測變異的決策模式。 Acceptance sampling plays an important role in statistical quality control. It aims to ensure that the suppliers’ goods are conforming to quality standards and customer’s requirements by sampling inspection. The MIL-STD-1916 sampling plan, which has been published by U.S. Department of Defense since April 1996, is to support the movement away from an acceptable quality level (AQL)-based inspection (detection) strategy to implementation of an effective prevention-based strategy. MIL-STD-1916 requests the suppliers to continually improve the implementation of process control and establish the quality system that promote cooperation partner relationship on supply chain. MIL-STD-1916 adopts a set of acceptability criteria by considering supplier’s process capability instead of MIL-STD-105E’s acceptable quality level. Though MIL-STD-1916 can drive suppliers to continually improve the implementation of process control, the acceptability criteria based on supplier’s process capability is unable to precisely provide the buyers to determine the process performance of suppliers. The proposed decision model can clearly identify the source of variation, either from parts variation or gauge variation, when a good lot is rejected. Based on this, the minimum probability of rejecting good lot is studied to protect the supplier’s risk by considering its true process performance. On the other hand, it is necessary to perform the measurement system analysis (MSA) before process capability analysis in order to precisely determine the process performance of supplier. The goal of MSA is to assess how the variations of measurement system affect the validity of the measured data. The variations involve parts variation generated by inspectors, gauge variation generated by inspectors as well as the interaction effect between inspectors and parts.Finally, this study can also provide a company the optimal combination of number of inspectors and number of replications that minimizes measurement variation when adopting the sampling plan of MIL-STD-1916.

量測系統分析對MIL-STD-1916抽樣計畫之影響 = Effects of Measurement System Analysis on the Sampling Plan of MIL-STD-1916
黃, 信穎

量測系統分析對MIL-STD-1916抽樣計畫之影響 = Effects of Measurement System Analysis on the Sampling Plan of MIL-STD-1916 / 黃信穎撰 - [高雄市] : 撰者, 2009[民98]. - 62面 ; 圖、表 ; 30公分.
指導教授：莊寶鵰參考書目：面.
MIL-STD-1916MIL-STD-1916

量測系統分析對MIL-STD-1916抽樣計畫之影響 = Effects of Measurement System Analysis on the Sampling Plan of MIL-STD-1916
LDR:05111nam0a2200277 450 001 220313
005 20170214095841.0
009 220313
010 0 $b 精裝
010 0 $b 平裝
100 $a 20170214y2009 k y0chiy09 ea
101 1 $a chi $d chi $d eng
102 $a tw
105 $a ak am 000yy
200 1 $a 量測系統分析對MIL-STD-1916抽樣計畫之影響 $d Effects of Measurement System Analysis on the Sampling Plan of MIL-STD-1916 $z eng $f 黃信穎撰
210 $a [高雄市] $c 撰者 $d 2009[民98]
215 0 $a 62面 $c 圖、表 $d 30公分
300 $a 指導教授：莊寶鵰
300 $a 參考書目：面
328 $a 碩士論文--國立高雄大學亞太工商管理學系碩士班
330 $a 驗收抽樣(Acceptance Sampling)在統計品質管制中扮演著重要的角色，主要為檢驗供應商(賣方)所提交的物件是否合於品質標準的要求，確保製程的產品符合買方的要求，1996年4月由美國國防部所發行美軍標準1916抽樣計畫(簡稱MIL-STD-1916)作為物料檢驗的決策模式，MIL-STD-1916的主要目的在於鼓勵供應商在生產製造過程中建立品質系統的持續改善及採用預防性製程管制來提升品質水準，希望藉由建立品質系統達到供應鏈合作夥伴之間的互動關係，因此MIL-STD-1916之計量值抽樣檢驗決策標準以製程能力指標取代MIL-STD-105E以允收品質水準(Acceptable Quality Level, AQL)為主要檢驗策略，MIL-STD-1916雖比MIL-STD-105E的AQL能使供應商做品質持續改善，但在評估製程能力前，必須對量測系統加以分析，並改善量測變異以精確地評估真正製程能力。本研究藉由品質損失概念與量測系統分析為基礎，發展出考慮量測系統的MIL-STD-1916抽樣計畫，量測系統分析主要在評估量測系統的變異對於工業製造產品的影響程度，並且針對檢驗人員量測零組件(Parts)所產生的偏差程度，瞭解量具(Gauge)產生了多少變異、使用量具的檢驗人員(Operators)產生了多少變異以及檢驗人員與零件間有無交互作用的效果。研究結果發現，此抽樣計畫可以清楚分辨產品變異是來自於零件，或是量測系統變異導致好批被拒收，發生生產者風險的機率降為最低的情況，如此，將可以保障生產者所生產的產品，不會因量測系統的優劣導致產品遭拒收的情況，本研究亦提供買方最佳量測人員數與重複量測次數的組合已達成最小的量測變異，藉由量測系統變異修正MIL-STD-1916未考慮量測變異的決策模式。 Acceptance sampling plays an important role in statistical quality control. It aims to ensure that the suppliers’ goods are conforming to quality standards and customer’s requirements by sampling inspection. The MIL-STD-1916 sampling plan, which has been published by U.S. Department of Defense since April 1996, is to support the movement away from an acceptable quality level (AQL)-based inspection (detection) strategy to implementation of an effective prevention-based strategy. MIL-STD-1916 requests the suppliers to continually improve the implementation of process control and establish the quality system that promote cooperation partner relationship on supply chain. MIL-STD-1916 adopts a set of acceptability criteria by considering supplier’s process capability instead of MIL-STD-105E’s acceptable quality level. Though MIL-STD-1916 can drive suppliers to continually improve the implementation of process control, the acceptability criteria based on supplier’s process capability is unable to precisely provide the buyers to determine the process performance of suppliers. The proposed decision model can clearly identify the source of variation, either from parts variation or gauge variation, when a good lot is rejected. Based on this, the minimum probability of rejecting good lot is studied to protect the supplier’s risk by considering its true process performance. On the other hand, it is necessary to perform the measurement system analysis (MSA) before process capability analysis in order to precisely determine the process performance of supplier. The goal of MSA is to assess how the variations of measurement system affect the validity of the measured data. The variations involve parts variation generated by inspectors, gauge variation generated by inspectors as well as the interaction effect between inspectors and parts.Finally, this study can also provide a company the optimal combination of number of inspectors and number of replications that minimizes measurement variation when adopting the sampling plan of MIL-STD-1916.
510 1 $a Effects of Measurement System Analysis on the Sampling Plan of MIL-STD-1916 $z eng
610 0 $a MIL-STD-1916 $a 抽樣計畫 $a 製程能力指標 $a 量測系統分析
610 1 $a MIL-STD-1916 $a Measurement System Analysis $a Process Capability Index $a Sampling Plan
681 $a 008M/0019 $b 343425 4422 $v 2007年版
700 1 $a 黃 $b 信穎 $4 撰 $3 353984
712 0 2 $a 國立高雄大學 $b 亞太工商管理學系碩士班 $3 166023
801 0 $a tw $b 國立高雄大學 $c 20091020 $g CCR
856 7 $2 http $u http://handle.ncl.edu.tw/11296/ndltd/86162343050751810515