계층분석과정에 의한 금속절삭공정 품질요인의 의사결정모델 분석

DC Field Value Language
dc.contributor.advisor장병윤-
dc.contributor.author방원규-
dc.date.accessioned2018-11-08T07:58:49Z-
dc.date.available2018-11-08T07:58:49Z-
dc.date.issued2012-02-
dc.identifier.other12112-
dc.identifier.urihttps://dspace.ajou.ac.kr/handle/2018.oak/9338-
dc.description학위논문(석사)아주대학교 경영대학원 :경영일반MBA,2012. 2-
dc.description.tableofcontentsACKNOWLEDGEMENT 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-
dc.language.isoeng-
dc.publisherThe Graduate School, Ajou University-
dc.rights아주대학교 논문은 저작권에 의해 보호받습니다.-
dc.title계층분석과정에 의한 금속절삭공정 품질요인의 의사결정모델 분석-
dc.title.alternativeWonkyu Bang-
dc.typeThesis-
dc.contributor.affiliation아주대학교 경영대학원-
dc.contributor.alternativeNameWonkyu Bang-
dc.contributor.department경영대학원 경영일반MBA-
dc.date.awarded2012. 2-
dc.description.degreeMaster-
dc.identifier.localId570146-
dc.identifier.urlhttp://dcoll.ajou.ac.kr:9080/dcollection/jsp/common/DcLoOrgPer.jsp?sItemId=000000012112-
dc.subject.keywordanalytic hierarchy process-
dc.subject.keywordgeneral linear model-
dc.subject.keywordanalysis of variance-
dc.subject.keywordrow geometric mean-
dc.subject.keywordconsistency-
dc.subject.keywordmachining-
dc.subject.keywordend mill-
dc.description.alternativeAbstractMany 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.-
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Special Graduate Schools > Graduate School of Business > General Management MBA > 3. Theses(Master)
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