계층분석과정에 의한 금속절삭공정 품질요인의 의사결정모델 분석
A Decision Making Study on the Quality Factor Analysis of Metalworking Manufacturing Process with AHP
- 주제(키워드) analytic hierarchy process , general linear model , analysis of variance , row geometric mean , consistency , machining , end mill
- 발행기관 아주대학교
- 지도교수 장병윤
- 발행년도 2012
- 학위수여년월 2012. 2
- 학위명 석사
- 학과 및 전공 경영대학원 경영일반MBA
- 실제URI http://www.dcollection.net/handler/ajou/000000012112
- 본문언어 영어
- 저작권 아주대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
Many manufacturing processes incorporate various factors which affect the quality of the products, and the analysis and optimization of those factors are critical activities of engineers. Although there have been a lot of research on statistical methods to investigate the factorial effects on the quality metrics, these statistical methods are not always applied due to problems in data integrity, lack of control / measurement, or technical / administrative constraints. On the other hand, conventional heuristic methods regarding the selection of critical quality factors are mostly devoid of metrics which can be examined objectively . This study, therefore, implemented AHP for the quantitative prioritization of control factors involved in a flat end milling manufacturing process. In order to validate the metrics synthesized from the experience of skilled workers, the decision making has been followed by multivariate analysis of variance based on GLM. The results elucidate that AHP is able to provide fairly reliable metrics about the contribution of process parameters and group-wise judgment of qualified experts can improve the consistency of the prioritization.
more목차
ACKNOWLEDGEMENT iii
ABSTRACT iv
TABLE OF CONTENTS v
LIST OF TABLES vi
LIST OF FIGURES vii
NOMENCLATURE viii
CHAPTER 1 INTRODUCTION 1
1.1 Background and Motive of the Study 1
1.2 Objectives and Scopes of the Research 2
CHAPTER 2 OVERVIEW OF THE SUBJECT PROCESS 4
2.1 Flat End Mill Cutting 4
2.2 Quality Metrics and Control Factors 4
CHAPTER 3 METHODOLOY AND DATA 10
3.1 Investigation of Main Effects using Taguchi Design 10
3.2 Construction of Pairwise Comparison Matrix using AHP 15
CHAPTER 4 RESULTS AND DISCUSSION 22
4.1 GLM based Multivariate Analysis of Variance 22
4.2 Verification of Priority Metrics Induced from AHP 29
CHAPTER 5 CONCLUSIONS 34
BIBLIOGRAPHY 35
APPENDIX 37
ABSTRACT (KOREAN) 39
