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책소개본서는 품질경영을 실천하기 위한 통계 방법을 소개하는 데 목표를 두고 있다.
통계적 품질관리란 품질관리의 한 유형으로서 통계학과 모든 통계 수단을 사용하여 품질특성값을 관리하는 것을 의미한다.
1930년대부터 본격적으로 대두된 통계적 품질관리는 종합적 품질관리(TQC)와 TQM이 소개된 후에도 통계적 품질관리 기법에서 더욱 다양하게 발전하였다.
저자소개저자 : 노형진
· 서울대학교 공과대학 졸업(공학사)
· 고려대학교 대학원 수료(경영학박사)
· 일본 쓰쿠바대학 대학원 수료(경영공학 박사과정)
· 일본 문부성 통계수리연구소 객원연구원
· 일본 동경대학 사회과학연구소 객원교수
· 러시아 극동대학교 한국학대학 교환교수
· 중국 중국해양대학 관리학원 객좌교수
· 현재) 경기대학교 경상대학 경영학과 명예교수
한국제안활동협회 회장
| 주요 저서 |
· 『Amos로 배우는 구조방정식모형』, 학현사
· 『SPSS를 활용한 주성분분석과 요인분석』, 한올출판사
· 『Excel 및 SPSS를 활용한 다변량분석 원리와 실천』, 한올출판사
· 『SPSS를 활용한 연구조사방법』, 지필미디어
· 『SPSS를 활용한 고급통계분석』, 지필미디어
· 『제4차 산업혁명을 이끌어가는 스마트컴퍼니』, 한올출판사
· 『제4차 산업혁명의 핵심동력 - 장수기업의 소프트파워-』, 한올출판사
· 『제4차 산업혁명의 기린아 기술자의 왕국 혼다』, 한올출판사
· 『제4차 산업혁명의 총아 제너럴 일렉트릭』, 한올출판사
· 『망령의 포로 문재인과 아베신조』, 한올출판사
· 『프로파간다의 달인』, 한올출판사
· 『3년의 폭정으로 100년이 무너지다』, 한올출판사
저자 : 유자양
· 석가장육군사관학교 공상관리학과 졸업(관리학 학사)
· 경기대학교 대학원 석사과정 졸업(경영학 석사)
· 경기대학교 대학원 박사과정 졸업(경영학 박사)
· 현재) 경기대학교 대학원 글로벌비즈니스학과 교수
| 주요 저서 |
·『SPSS및 EXCEL을 활용한 다변량분석 이론과 실제』, 지필미디어
·『Excel을 활용한 컴퓨터 경영통계』, 학현사.
저자 : 동초희
· 충칭사범대학교 영어영문학과(문학 학사)
· 경기대학교 대학원 무역학과 졸업(경영학 석사)
· 경기대학교 대학원 글로벌비즈니스학과 박사과정수료
· 현재) 명지대학교 국제학부 공상관리전공 객원교수
| 주요 저서 |
· 한국 전자산업의 대중국 직접투자 결정요인에 관한연구, 경기대학교 대학원
목차Part 01 통계적 품질관리 기본과정
Chapter 01 품질관리와 통계적 방법 ············································· 4
1. 품질관리의 기초지식 ···························································· 4
1) 품질관리의 개념 4
2) 품질관리와 문제해결기법 10
2. 통계적 품질관리 ································································ 11
1) 품질관리의 기법 11
2) 통계적 방법 15
3. 통계량에 의한 데이터의 요약 ··········································· 20
1) 기본 통계량에 의한 요약 20
2) 기술 통계법에 의한 요약 27
3) 공정능력지수 31
Chapter 02 그래프에 의한 데이터의 시각화 ································· 36
1. 그래프의 기본사항 ······························································ 36
1) 그래프의 목적과 종류 36
2) Excel의 그래프 작성기능 40
2. 그래프의 실제 ·································································· 42
1) 단일회답의 그래프화 42
2) 복수회답의 그래프화 49
3) 크로스 집계결과의 그래프화 50
Chapter 03 파레토도 ········································································ 57
1. 파레토도의 기본사항 ·························································· 57
2. 파레토도의 실제 ································································ 60
1) 파레토도의 작성 60
2) 파레토도의 응용 66
Chapter 04 히스토그램 ····································································· 70
1. 히스토그램의 기본 ······························································ 70
2. 히스토그램의 작성방법 ······················································ 72
3. 히스토그램의 대용 그래프 ················································· 84
1) 도트 플롯 84
2) 함수 REPT에 의한 대용 그래프 89
Chapter 05 이산확률분포 ································································· 93
1. 이항분포 ············································································· 93
2. 포아송 분포 ····································································· 112
3. 초기하분포 ······································································· 126
Chapter 06 연속확률분포 ······························································· 133
1. 정규분포 ··········································································· 133
2. 표준 정규분포 ·································································· 144
3. 지수분포 ··········································································· 152
Chapter 07 데이터의 수집과 표본추출법 ····································· 159
1. 데이터의 종류와 수집방법 ··············································· 159
2. 표본추출의 기본개념 ······················································· 163
3. 무작위추출법 ···································································· 163
1) 단순무작위추출법(simple random sampling) 164
2) 계통추출법(systematic sampling) 164
3) 집락추출법(cluster sampling) 165
4) 층별추출법(stratified sampling) 165
5) 다단추출법(multi-stage sampling) 165
4. 유의선출법 ······································································· 166
5. 표본추출의 실제 ······························································ 167
Chapter 08 관리도 ·········································································· 175
1. 계량치 관리도 ·································································· 175
1) 관리도의 개요 175
2) ? -x?? - R 관리도의 작성방법 179
3)? ~x?? - R 관리도의 작성방법 186
4) x?? - R?s 관리도의 작성방법 190
2. 계수치 관리도 ·································································· 196
1) pn 관리도의 작성방법 196
2) p 관리도의 작성방법 200
3) c 관리도의 작성방법 204
4) u 관리도 206
5) 관리도의 해석방법 209
Chapter 09 샘플링검사 ··································································· 213
1. 샘플링검사의 계획 ··························································· 213
1) 샘플링검사의 기초 213
2) 샘플링검사의 이론 215
3) OC 곡선과 샘플링검사방식의 설계 223
4) OC 곡선의 성질 225
5) 샘플링검사방식과 이해관계자의 보호 233
6) 샘플링검사의 절차 236
2. 각종 샘플링검사 ······························································ 237
1) 계수 규준형 샘플링검사 237
2) 계수 선별형 샘플링검사 240
3) 계수 조정형 샘플링검사 242
4) 계수 연속생산형 샘플링검사 243
5) 계량 규준형 샘플링검사 244
Chapter 10 관능평가 ······································································ 246
1. 관능평가의 기본사항 ························································ 246
1) 관능평가의 개념 246
2) 감각의 성질 247
2. 관능평가의 의의 ······························································ 251
3. 관능평가의 의미 ······························································ 252
1) 관능이란 무엇인가 252
2) JIS에 의한 관능평가의 정의 253
4. 관능평가의 특징 ······························································ 255
1) 관능평가와 이화학적 검사의 비교 255
2) 관능평가의 특질 256
5. 관능평가에 있어서의 데이터의 성질 ······························· 258
1) 척도의 분류 258
2) 관능평가에 있어서의 데이터 259
3) ‘간주한다’고 하는 것 261
6. 관능평가의 실제 ······························································ 262
1) 관능평가 데이터의 표현방법 262
2) 관능평가를 위한 수법 263
7. 관능특성 데이터의 분석과 통계적 관능평가법 ····················· 267
1) 관능특성 데이터의 분석 267
2) 통계적 관능평가법의 개요 267
3) 통계적 관능평가의 실제 269
Part 02 통계적 품질관리 응용과정
Chapter 11 실험의 계획과 실시 ···················································· 274
1. 실험계획법 ········································································ 274
1) 실험의 추진방법 274
2) 실험계획법의 용어 277
3) 인자의 종류 279
2. 실험의 실시 ····································································· 281
1) 실험의 원칙 281
2) 실험의 형식 284
Chapter 12 일원배치 실험 ····························································· 291
1. 일원배치 실험의 계획과 해석 ·········································· 291
1) 실험순서의 랜덤화 291
2) 분산분석의 이론 294
2. 데이터 분석의 실제 ························································· 299
1) 질적 인자의 경우 299
2) 양적 인자의 경우 310
3) 분석 도구에 의한 분산분석 315
Chapter 13 이원배치 실험 ····························································· 318
1. 반복이 없는 이원배치 실험 ············································· 318
1) 실험 데이터의 분석 318
2) Excel에 의한 데이터의 분석 323
3) 분석 도구에 의한 분산분석 328
2. 반복이 있는 이원배치 실험 ············································· 331
1) 실험 데이터의 분석 331
2) Excel에 의한 데이터의 분석 334
3) 분석 도구에 의한 분산분석 345
Chapter 14 다원배치 실험 ····························································· 350
1. 3원배치 실험 ···································································· 350
1) 실험 데이터의 분석 350
2) Excel에 의한 데이터의 분석 355
2. 난괴법 ·············································································· 363
1) 실험 데이터의 분석 363
2) Excel에 의한 데이터의 분석 366
Chapter 15 비모수통계분석 ··························································· 369
1. 크러스컬－월리스의 순위검정 ·········································· 369
1) 실험 데이터의 분석 369
2) Excel에 의한 데이터의 분석 372
2. 프리드만의 순위검정 ······················································· 375
1) 실험 데이터의 분석 375
2) Excel에 의한 데이터의 분석 377
Chapter 16 직교배열 ······································································ 381
1. 직교배열표에 의한 실험의 계획 ······································ 381
1) 직교배열표의 이용 381
2) 할당의 실제 386
2. 직교배열 실험의 데이터 분석 ········································· 388
1) 분산분석의 방법 388
2) Excel에 의한 직교표 데이터의 분석 391
Chapter 17 다중비교 ······································································ 401
1. 최소유의차법 ···································································· 401
1) 최소유의차법의 실제 401
2) Excel에 의한 해법 404
2. Bonferroni법 ··································································· 407
1) Bonferroni법의 실제 407
2) Excel에 의한 해법 409
● 참고문헌 / 412
● Index / 414 |
| 교환 및 환불 가능 |
상품에 문제가 있을 경우 |
1) 상품이 표시/광고된 내용과 다르거나 불량(부패, 변질, 파손, 표기오류, 이물혼입, 중량미달)이 발생한 경우 - 신선식품, 냉장식품, 냉동식품 : 수령일 다음날까지 신청 - 기타 상품 : 수령일로부터 30일 이내, 그 사실을 안 날 또는 알 수 있었던 날로부터 30일 이내 신청 2) 교환 및 환불신청 시 판매자는 상품의 상태를 확인할 수 있는 사진을 요청할 수 있으며 상품의 문제 정도에 따라 재배송, 일부환불, 전체환불이 진행됩니다. 반품에 따른 비용은 판매자 부담이며 환불은 반품도착일로부터 영업일 기준 3일 이내에 완료됩니다. |
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단순변심 및 주문착오의 경우 |
1) 신선식품, 냉장식품, 냉동식품 재판매가 어려운 상품의 특성상, 교환 및 환불이 어렵습니다. 2) 화장품 피부 트러블 발생 시 전문의 진단서 및 소견서를 제출하시면 환불 가능합니다. 이 경우 제반비용은 소비자 부담이며, 배송비는 판매자가 부담합니다. 해당 화장품과 피부 트러블과의 상당한 인과관계가 인정되는 경우 또는 질환치료 목적의 경우에는 진단서 발급비용을 판매자가 부담합니다. 3) 기타 상품 수령일로부터 7일 이내 신청, 왕복배송비는 소비자 부담 4) 모니터 해상도의 차이로 색상이나 이미지가 다른 경우 단순변심에 의한 교환 및 환불이 제한될 수 있습니다. |
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| 교환 및 환불 불가 |
1) 신청기한이 지난 경우 2) 소비자의 과실로 인해 상품 및 구성품의 전체 또는 일부가 없어지거나 훼손, 오염되었을 경우 3) 개봉하여 이미 섭취하였거나 사용(착용 및 설치 포함)해 상품 및 구성품의 가치가 손상된 경우 4) 시간이 경과하여 상품의 가치가 현저히 감소한 경우 5) 상세정보 또는 사용설명서에 안내된 주의사항 및 보관방법을 지키지 않은 경우 6) 사전예약 또는 주문제작으로 통해 소비자의 주문에 따라 개별적으로 생산되는 상품이 이미 제작진행된 경우 7) 복제가 가능한 상품 등의 포장을 훼손한 경우 8) 맛, 향, 색 등 단순 기호차이에 의한 경우 |
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카테고리
