Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production:
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| Main Author: | |
|---|---|
| Format: | Thesis Book |
| Language: | English |
| Published: |
Aachen
Apprimus Verlag
2023
|
| Edition: | 1. Auflage |
| Series: | Ergebnisse aus der Produktionstechnik
Band 16/2023 |
| Subjects: | |
| Online Access: | Volltext Inhaltsverzeichnis |
| Physical Description: | xxxiii, 338 Seiten Diagramme 21 cm x 14.8 cm, 564 g |
| ISBN: | 9783985551576 |
| DOI: | 10.18154/RWTH-2023-04396 |
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MARC
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| 100 | 1 | |a Greipel, Jonathan |e Verfasser |0 (DE-588)1289110670 |4 aut | |
| 245 | 1 | 0 | |a Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production |c Jonathan Greipel |
| 246 | 1 | 3 | |a Gruppieren von Prüfmerkmalen zur Aufwandsreduzierung für die adaptive Prüfplanung in der Variantenproduktion |
| 250 | |a 1. Auflage | ||
| 264 | 1 | |a Aachen |b Apprimus Verlag |c 2023 | |
| 300 | |a xxxiii, 338 Seiten |b Diagramme |c 21 cm x 14.8 cm, 564 g | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 1 | |a Ergebnisse aus der Produktionstechnik |v Band 16/2023 | |
| 490 | 0 | |a Fertigungsmesstechnik & Qualitätsmanagement | |
| 502 | |b Dissertation |c Rheinisch-Westfälische Technische Hochschule Aachen |d 2023 | ||
| 650 | 0 | 7 | |a Variantenfertigung |0 (DE-588)4432973-8 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Ablaufplanung |0 (DE-588)4122751-7 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a MBSE |g Technik |0 (DE-588)1147892059 |2 gnd |9 rswk-swf |
| 653 | |a Model-based Systems | ||
| 653 | |a Quality Intelligence | ||
| 653 | |a Produktionsqualität | ||
| 653 | |a Messtechnik | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 689 | 0 | 0 | |a Variantenfertigung |0 (DE-588)4432973-8 |D s |
| 689 | 0 | 1 | |a MBSE |g Technik |0 (DE-588)1147892059 |D s |
| 689 | 0 | 2 | |a Ablaufplanung |0 (DE-588)4122751-7 |D s |
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| 710 | 2 | |a Apprimus Verlag |0 (DE-588)1068101474 |4 pbl | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe, PDF |o https://doi.org/10.18154/RWTH-2023-04396 |
| 830 | 0 | |a Ergebnisse aus der Produktionstechnik |v Band 16/2023 |w (DE-604)BV023307578 |9 2023,16 | |
| 856 | 4 | 1 | |u https://doi.org/10.18154/RWTH-2023-04396 |x Resolving-System |z kostenfrei |3 Volltext |
| 856 | 4 | 2 | |m DNB Datenaustausch |q application/pdf |u http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034263192&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |3 Inhaltsverzeichnis |
| 883 | 1 | |8 1\p |a vlb |d 20230504 |q DE-101 |u https://d-nb.info/provenance/plan#vlb | |
| 912 | |a ebook | ||
Record in the Search Index
| _version_ | 1805073303949279232 |
|---|---|
| adam_text |
TABLE
OF
CONTENTS
1
INTRODUCTION
.
1
1.1
THESIS
AIM
AND
CONCEPT
FOR
ADAPTIVE
INSPECTION
PLANNING
FOR
VARIANT
PRODUCTION
.
2
1.2
RESEARCH
DESIGN
FRAMEWORK
ACCORDING
TO
U
LRICH
AND
THESIS
STRUCTURE
.
3
2
STATE
OF
THE
ART
ON
ADAPTIVE
INSPECTION
PLANNING
IN
VARIANT
PRODUCTION
.
5
2.1
ADAPTIVE
INSPECTION
PLANNING
AND
PLANNING
TASKS
.
5
2.2
APPROACHES
FOR
THE
REDUCTION
OF
INSPECTION
PLANNING
EFFORTS
IN
VARIANT
PRODUCTION
.
9
2.3
REDUCED
QUALITY
INSPECTION
USING
KEY
CHARACTERISTICS
.
12
2.4
VARIANT
MANAGEMENT,
MIXED
LOTS,
AND
GROUPING
ALGORITHMS
.
16
2.5
APPROACHES
FOR
SAMPLING
INSPECTION
.
18
2.6
EVALUATION,
CONCLUSION,
AND
DEDUCTED
RESEARCH
QUESTIONS
.
21
3
DEVELOPMENT
OF
A
PROCEDURE
TO
USE
ADAPTIVE
INSPECTION
PLANNING
IN
VARIANT
PRODUCTION
.
23
3.1
DESCRIPTION
OF
THE
ADAPTIVE
INSPECTION
PLANNING
PROCEDURE
.
23
3.2
SAMPLING
PROCEDURE,
ALGORITHMS,
AND
MEASURES
FOR
THE
ADAPTIVE
INSPECTION
PLANNING
PROCEDURE
.
25
3.3
REQUIREMENTS
FOR
ADAPTIVE
INSPECTION
PLANNING
PROCEDURE
.
26
3.3.1
REQUIREMENTS
FOR
THE
PROCEDURE
TO
APPLY
SAMPLING
PLANS
.
26
3.3.2
REQUIREMENTS
FOR
THE
ALGORITHMS
.
27
3.3.3
REQUIREMENTS
FOR
THE
PERFORMANCE
MEASURES
.
29
3.4
INTERIM
CONCLUSION
.
29
4
DEVELOPMENT
OF
A
PROCEDURE
TO
APPLY
SAMPLING
INSPECTION
IN
VARIANT
PRODUCTION
.
31
4.1
SELECTION
OF
SAMPLING
PLAN
.
31
4.2
ANALYSIS
OF
SAMPLING
SCHEMES
FOR
SAMPLING
PROCEDURE
.
35
4.3
DEVELOPED
SAMPLING
PROCEDURE
FOR
VARIANT
PRODUCTION
.
37
4.4
INTERIM
CONCLUSION
.
40
5
DEVELOPMENT
OF
ALGORITHMS
TO
IDENTIFY
KEY
CHARACTERISTICS
.
41
5.1
DIMENSIONALITY
REDUCTION
USING
FEATURE
SELECTION
.42
5.1.1
FEATURE
RELEVANCE,
REDUNDANCY,
CORRELATION,
AND
SIMILARITY
.44
5.1.2
FEATURE
SELECTION
BASED
ON
FILTER
METHODS
.
45
5.1.3
LABELS
FOR
SUPERVISED
FILTER
METHODS
.
51
5.2
CLUSTERING
ALGORITHMS
FOR
SUBGROUPING
.
54
5.3
MEASURES
FOR
EVALUATION
OF
CLUSTERS
AND
THEIR
OPTIMAL
NUMBER
.
55
5.4
MEASURES
FOR
THE
EVALUATION
OF
FEATURES
.
57
5.5
ALGORITHMS
TO
CREATE
SUBGROUPS
OF
REDUNDANT
FEATURES
.
57
5.5.1
ALGORITHM
BASED
ON
PRINCIPAL
FEATURE
ANALYSIS
.
58
5.5.2
ALGORITHM
BASED
ON
SPARSE
PRINCIPAL
COMPONENT
ANALYSIS
.
59
5.5.3
ALGORITHM
BASED
ON
HIERARCHICAL
CLUSTERING
.
60
5.5.4
ALGORITHM
BASED
ON
PARTITIONING
CLUSTER
PROCEDURES
.65
5.5.5
DENSITY-BASED
CLUSTERING
.
67
5.5.6
MODEL-BASED
CLUSTERING
.
68
5.6
ALGORITHMS
TO
RATE
THE
RELEVANCE
OF
FEATURES
.
71
5.6.1
ALGORITHM
BASED
ON
ENTROPY
.
71
5.6.2
ALGORITHM
BASED
ON
.
72
5.6.3
ALGORITHM
BASED
ON
CAPABILITY
.
73
5.6.4
ALGORITHM
BASED
ON
RISK
.
75
5.7
INTERIM
CONCLUSION
.
76
6
DEVELOPMENT
OF
ALGORITHMS
TO
IDENTIFY
MIXED
LOTS
.
77
6.1
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
77
6.1.1
APPROACHES
FOR
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
78
6.1.2
ALGORITHM
BASED
ON
A
STATISTICAL
APPROACH
(PAIRWISE)
.
80
6.2
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
.
83
6.2.1
DISTANCE
MEASURE
FOR
AN
ALGORITHM
TO
IDENTIFY
SIMILAR
VARIANTS
.
83
6.2.2
ALGORITHM
BASED
ON
A
COMBINATORIAL
APPROACH
(KEEPDELETE)
.
84
6.3
INTERIM
CONCLUSION
.
85
7
PERFORMANCE
MEASURES
FOR
THE
EVALUATION
OF
ALGORITHM
RESULTS
.
87
7.1
GROUPING
AND
RISK
INFORMATION
.
87
7.2
EXTERNAL
MEASURES
FOR
THE
EVALUATION
OF
THE
ALGORITHMS
.
88
7.2.1
MEASURES
BASED
ON
COUNTING
PAIRS
FOR
CLUSTERING
AND
SAMPLING
.
88
7.2.2
MEASURES
BASED
ON
SET
OVERLAPS
.
91
7.2.3
MEASURES
BASED
ON
MUTUAL
INFORMATION
.
92
7.3
INTERNAL
MEASURES
FOR
THE
EVALUATION
OF
THE
ALGORITHMS
.
93
7.3.1
SIMILARITY-BASED
MEASURES
.
93
7.3.2
CORRELATION
MEASURES
.
96
7.4
INTERIM
CONCLUSION
.
97
8
VALIDATION
USING
SIMULATIONS
.
99
8.1
DESIGN
OF
THE
SIMULATION
.
99
8.1.1
ALGORITHMS
TO
CREATE
SUBGROUPS
.
101
8.1.2
ALGORITHMS
TO
RATE
RELEVANCE
.
103
8.1.3
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
104
8.1.4
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
.
105
8.1.5
SAMPLING
INSPECTION
.
105
III
8.2
RESULTS
OF
THE
SIMULATION
.
106
8.2.1
ALGORITHMS
TO
CREATE
SUBGROUPS
AND
THEIR
MEASURES
.
106
8.2.2
ALGORITHMS
TO
RATE
RELEVANCE
AND
THEIR
MEASURES
.
117
8.2.3
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
AND
THEIR
MEASURES
.
122
8.2.4
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
AND
THEIR
MEASURES
.
134
8.2.5
SAMPLING
INSPECTION
AND
ITS
MEASURE
.
144
8.3
CONCLUSION
ON
RESULTS
.
146
8.4
CRITICAL
REFLECTION
ON
THE
VALIDATION
.
149
9
VALIDATION
USING
APPLICATIONS
IN
PRACTICE
.
151
9.1
OVERALL
EVALUATION
FOR
ALGORITHMS
TO
IDENTIFY
KEY
CHARACTERISTICS
.
151
9.2
OVERALL
EVALUATION
FOR
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
154
9.3
OVERALL
EVALUATION
FOR
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
.
157
9.4
OVERALL
EVALUATION
OF
SAMPLING
INSPECTION
.
159
9.5
FOUNDRY
AND
METALWORKING
.
160
9.5.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
CORRED_DISTANCE_RISK_MAX
.
160
9.5.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
WS_T_C
.
162
9.6
PRECISION
ENGINEERING
.
165
9.6.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
SPFA_RISK_MAX
.
165
9.6.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
LK_T_C
.
168
9.7
AEROSPACE
.
171
9.7.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
CORRED_DISTANCE_RISK_MAX
.
171
9.7.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
LK_T_C
.
173
9.8
MEDICAL
TECHNOLOGY
.
176
9.8.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
SPFA_RISK_MAX
.
176
9.8.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
DTS_T_C
.
177
9.9
INTERIM
CONCLUSION
.
180
10
CRITICAL
REFLECTION
OF
THE
RESULTS
.
181
10.1
ANSWER
TO
RESEARCH
QUESTION
.
181
10.2
REFLECTION
ON
RESEARCH
METHODOLOGY
.
184
11
SUMMARY
AND
NEED
FOR
FURTHER
RESEARCH
.
185
11.1
SUMMARY
.
185
11.2
NEED
FOR
FURTHER
RESEARCH
.
187
12
REFERENCES
.
189
APPENDIX
.
211 |
| adam_txt |
TABLE
OF
CONTENTS
1
INTRODUCTION
.
1
1.1
THESIS
AIM
AND
CONCEPT
FOR
ADAPTIVE
INSPECTION
PLANNING
FOR
VARIANT
PRODUCTION
.
2
1.2
RESEARCH
DESIGN
FRAMEWORK
ACCORDING
TO
U
LRICH
AND
THESIS
STRUCTURE
.
3
2
STATE
OF
THE
ART
ON
ADAPTIVE
INSPECTION
PLANNING
IN
VARIANT
PRODUCTION
.
5
2.1
ADAPTIVE
INSPECTION
PLANNING
AND
PLANNING
TASKS
.
5
2.2
APPROACHES
FOR
THE
REDUCTION
OF
INSPECTION
PLANNING
EFFORTS
IN
VARIANT
PRODUCTION
.
9
2.3
REDUCED
QUALITY
INSPECTION
USING
KEY
CHARACTERISTICS
.
12
2.4
VARIANT
MANAGEMENT,
MIXED
LOTS,
AND
GROUPING
ALGORITHMS
.
16
2.5
APPROACHES
FOR
SAMPLING
INSPECTION
.
18
2.6
EVALUATION,
CONCLUSION,
AND
DEDUCTED
RESEARCH
QUESTIONS
.
21
3
DEVELOPMENT
OF
A
PROCEDURE
TO
USE
ADAPTIVE
INSPECTION
PLANNING
IN
VARIANT
PRODUCTION
.
23
3.1
DESCRIPTION
OF
THE
ADAPTIVE
INSPECTION
PLANNING
PROCEDURE
.
23
3.2
SAMPLING
PROCEDURE,
ALGORITHMS,
AND
MEASURES
FOR
THE
ADAPTIVE
INSPECTION
PLANNING
PROCEDURE
.
25
3.3
REQUIREMENTS
FOR
ADAPTIVE
INSPECTION
PLANNING
PROCEDURE
.
26
3.3.1
REQUIREMENTS
FOR
THE
PROCEDURE
TO
APPLY
SAMPLING
PLANS
.
26
3.3.2
REQUIREMENTS
FOR
THE
ALGORITHMS
.
27
3.3.3
REQUIREMENTS
FOR
THE
PERFORMANCE
MEASURES
.
29
3.4
INTERIM
CONCLUSION
.
29
4
DEVELOPMENT
OF
A
PROCEDURE
TO
APPLY
SAMPLING
INSPECTION
IN
VARIANT
PRODUCTION
.
31
4.1
SELECTION
OF
SAMPLING
PLAN
.
31
4.2
ANALYSIS
OF
SAMPLING
SCHEMES
FOR
SAMPLING
PROCEDURE
.
35
4.3
DEVELOPED
SAMPLING
PROCEDURE
FOR
VARIANT
PRODUCTION
.
37
4.4
INTERIM
CONCLUSION
.
40
5
DEVELOPMENT
OF
ALGORITHMS
TO
IDENTIFY
KEY
CHARACTERISTICS
.
41
5.1
DIMENSIONALITY
REDUCTION
USING
FEATURE
SELECTION
.42
5.1.1
FEATURE
RELEVANCE,
REDUNDANCY,
CORRELATION,
AND
SIMILARITY
.44
5.1.2
FEATURE
SELECTION
BASED
ON
FILTER
METHODS
.
45
5.1.3
LABELS
FOR
SUPERVISED
FILTER
METHODS
.
51
5.2
CLUSTERING
ALGORITHMS
FOR
SUBGROUPING
.
54
5.3
MEASURES
FOR
EVALUATION
OF
CLUSTERS
AND
THEIR
OPTIMAL
NUMBER
.
55
5.4
MEASURES
FOR
THE
EVALUATION
OF
FEATURES
.
57
5.5
ALGORITHMS
TO
CREATE
SUBGROUPS
OF
REDUNDANT
FEATURES
.
57
5.5.1
ALGORITHM
BASED
ON
PRINCIPAL
FEATURE
ANALYSIS
.
58
5.5.2
ALGORITHM
BASED
ON
SPARSE
PRINCIPAL
COMPONENT
ANALYSIS
.
59
5.5.3
ALGORITHM
BASED
ON
HIERARCHICAL
CLUSTERING
.
60
5.5.4
ALGORITHM
BASED
ON
PARTITIONING
CLUSTER
PROCEDURES
.65
5.5.5
DENSITY-BASED
CLUSTERING
.
67
5.5.6
MODEL-BASED
CLUSTERING
.
68
5.6
ALGORITHMS
TO
RATE
THE
RELEVANCE
OF
FEATURES
.
71
5.6.1
ALGORITHM
BASED
ON
ENTROPY
.
71
5.6.2
ALGORITHM
BASED
ON
.
72
5.6.3
ALGORITHM
BASED
ON
CAPABILITY
.
73
5.6.4
ALGORITHM
BASED
ON
RISK
.
75
5.7
INTERIM
CONCLUSION
.
76
6
DEVELOPMENT
OF
ALGORITHMS
TO
IDENTIFY
MIXED
LOTS
.
77
6.1
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
77
6.1.1
APPROACHES
FOR
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
78
6.1.2
ALGORITHM
BASED
ON
A
STATISTICAL
APPROACH
(PAIRWISE)
.
80
6.2
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
.
83
6.2.1
DISTANCE
MEASURE
FOR
AN
ALGORITHM
TO
IDENTIFY
SIMILAR
VARIANTS
.
83
6.2.2
ALGORITHM
BASED
ON
A
COMBINATORIAL
APPROACH
(KEEPDELETE)
.
84
6.3
INTERIM
CONCLUSION
.
85
7
PERFORMANCE
MEASURES
FOR
THE
EVALUATION
OF
ALGORITHM
RESULTS
.
87
7.1
GROUPING
AND
RISK
INFORMATION
.
87
7.2
EXTERNAL
MEASURES
FOR
THE
EVALUATION
OF
THE
ALGORITHMS
.
88
7.2.1
MEASURES
BASED
ON
COUNTING
PAIRS
FOR
CLUSTERING
AND
SAMPLING
.
88
7.2.2
MEASURES
BASED
ON
SET
OVERLAPS
.
91
7.2.3
MEASURES
BASED
ON
MUTUAL
INFORMATION
.
92
7.3
INTERNAL
MEASURES
FOR
THE
EVALUATION
OF
THE
ALGORITHMS
.
93
7.3.1
SIMILARITY-BASED
MEASURES
.
93
7.3.2
CORRELATION
MEASURES
.
96
7.4
INTERIM
CONCLUSION
.
97
8
VALIDATION
USING
SIMULATIONS
.
99
8.1
DESIGN
OF
THE
SIMULATION
.
99
8.1.1
ALGORITHMS
TO
CREATE
SUBGROUPS
.
101
8.1.2
ALGORITHMS
TO
RATE
RELEVANCE
.
103
8.1.3
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
104
8.1.4
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
.
105
8.1.5
SAMPLING
INSPECTION
.
105
III
8.2
RESULTS
OF
THE
SIMULATION
.
106
8.2.1
ALGORITHMS
TO
CREATE
SUBGROUPS
AND
THEIR
MEASURES
.
106
8.2.2
ALGORITHMS
TO
RATE
RELEVANCE
AND
THEIR
MEASURES
.
117
8.2.3
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
AND
THEIR
MEASURES
.
122
8.2.4
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
AND
THEIR
MEASURES
.
134
8.2.5
SAMPLING
INSPECTION
AND
ITS
MEASURE
.
144
8.3
CONCLUSION
ON
RESULTS
.
146
8.4
CRITICAL
REFLECTION
ON
THE
VALIDATION
.
149
9
VALIDATION
USING
APPLICATIONS
IN
PRACTICE
.
151
9.1
OVERALL
EVALUATION
FOR
ALGORITHMS
TO
IDENTIFY
KEY
CHARACTERISTICS
.
151
9.2
OVERALL
EVALUATION
FOR
ALGORITHMS
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS
.
154
9.3
OVERALL
EVALUATION
FOR
ALGORITHMS
TO
IDENTIFY
SIMILAR
VARIANTS
.
157
9.4
OVERALL
EVALUATION
OF
SAMPLING
INSPECTION
.
159
9.5
FOUNDRY
AND
METALWORKING
.
160
9.5.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
CORRED_DISTANCE_RISK_MAX
.
160
9.5.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
WS_T_C
.
162
9.6
PRECISION
ENGINEERING
.
165
9.6.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
SPFA_RISK_MAX
.
165
9.6.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
LK_T_C
.
168
9.7
AEROSPACE
.
171
9.7.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
CORRED_DISTANCE_RISK_MAX
.
171
9.7.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
LK_T_C
.
173
9.8
MEDICAL
TECHNOLOGY
.
176
9.8.1
ALGORITHM
TO
IDENTIFY
KEY
CHARACTERISTICS:
SPFA_RISK_MAX
.
176
9.8.2
ALGORITHM
TO
IDENTIFY
CHARACTERISTIC
COMBINATIONS,
SIMILAR
VARIANTS,
AND
ACCEPTANCE
SAMPLING:
DTS_T_C
.
177
9.9
INTERIM
CONCLUSION
.
180
10
CRITICAL
REFLECTION
OF
THE
RESULTS
.
181
10.1
ANSWER
TO
RESEARCH
QUESTION
.
181
10.2
REFLECTION
ON
RESEARCH
METHODOLOGY
.
184
11
SUMMARY
AND
NEED
FOR
FURTHER
RESEARCH
.
185
11.1
SUMMARY
.
185
11.2
NEED
FOR
FURTHER
RESEARCH
.
187
12
REFERENCES
.
189
APPENDIX
.
211 |
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| author | Greipel, Jonathan |
| author_GND | (DE-588)1289110670 |
| author_facet | Greipel, Jonathan |
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| doi_str_mv | 10.18154/RWTH-2023-04396 |
| edition | 1. Auflage |
| format | Thesis Book |
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| genre_facet | Hochschulschrift |
| id | DE-604.BV049000009 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T22:09:14Z |
| indexdate | 2024-07-20T05:07:29Z |
| institution | BVB |
| institution_GND | (DE-588)1068101474 |
| isbn | 9783985551576 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-034263192 |
| oclc_num | 1385290794 |
| open_access_boolean | 1 |
| owner | DE-29T |
| owner_facet | DE-29T |
| physical | xxxiii, 338 Seiten Diagramme 21 cm x 14.8 cm, 564 g |
| psigel | ebook |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Apprimus Verlag |
| record_format | marc |
| series | Ergebnisse aus der Produktionstechnik |
| series2 | Ergebnisse aus der Produktionstechnik Fertigungsmesstechnik & Qualitätsmanagement |
| spelling | Greipel, Jonathan Verfasser (DE-588)1289110670 aut Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production Jonathan Greipel Gruppieren von Prüfmerkmalen zur Aufwandsreduzierung für die adaptive Prüfplanung in der Variantenproduktion 1. Auflage Aachen Apprimus Verlag 2023 xxxiii, 338 Seiten Diagramme 21 cm x 14.8 cm, 564 g txt rdacontent n rdamedia nc rdacarrier Ergebnisse aus der Produktionstechnik Band 16/2023 Fertigungsmesstechnik & Qualitätsmanagement Dissertation Rheinisch-Westfälische Technische Hochschule Aachen 2023 Variantenfertigung (DE-588)4432973-8 gnd rswk-swf Ablaufplanung (DE-588)4122751-7 gnd rswk-swf MBSE Technik (DE-588)1147892059 gnd rswk-swf Model-based Systems Quality Intelligence Produktionsqualität Messtechnik (DE-588)4113937-9 Hochschulschrift gnd-content Variantenfertigung (DE-588)4432973-8 s MBSE Technik (DE-588)1147892059 s Ablaufplanung (DE-588)4122751-7 s DE-604 Apprimus Verlag (DE-588)1068101474 pbl Erscheint auch als Online-Ausgabe, PDF https://doi.org/10.18154/RWTH-2023-04396 Ergebnisse aus der Produktionstechnik Band 16/2023 (DE-604)BV023307578 2023,16 https://doi.org/10.18154/RWTH-2023-04396 Resolving-System kostenfrei Volltext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034263192&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis 1\p vlb 20230504 DE-101 https://d-nb.info/provenance/plan#vlb |
| spellingShingle | Greipel, Jonathan Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production Ergebnisse aus der Produktionstechnik Variantenfertigung (DE-588)4432973-8 gnd Ablaufplanung (DE-588)4122751-7 gnd MBSE Technik (DE-588)1147892059 gnd |
| subject_GND | (DE-588)4432973-8 (DE-588)4122751-7 (DE-588)1147892059 (DE-588)4113937-9 |
| title | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production |
| title_alt | Gruppieren von Prüfmerkmalen zur Aufwandsreduzierung für die adaptive Prüfplanung in der Variantenproduktion |
| title_auth | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production |
| title_exact_search | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production |
| title_exact_search_txtP | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production |
| title_full | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production Jonathan Greipel |
| title_fullStr | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production Jonathan Greipel |
| title_full_unstemmed | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production Jonathan Greipel |
| title_short | Grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production |
| title_sort | grouping of inspection characteristics to reduce costs of adaptive inspection planning in variant production |
| topic | Variantenfertigung (DE-588)4432973-8 gnd Ablaufplanung (DE-588)4122751-7 gnd MBSE Technik (DE-588)1147892059 gnd |
| topic_facet | Variantenfertigung Ablaufplanung MBSE Technik Hochschulschrift |
| url | https://doi.org/10.18154/RWTH-2023-04396 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034263192&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
| volume_link | (DE-604)BV023307578 |
| work_keys_str_mv | AT greipeljonathan groupingofinspectioncharacteristicstoreducecostsofadaptiveinspectionplanninginvariantproduction AT apprimusverlag groupingofinspectioncharacteristicstoreducecostsofadaptiveinspectionplanninginvariantproduction AT greipeljonathan gruppierenvonprufmerkmalenzuraufwandsreduzierungfurdieadaptiveprufplanungindervariantenproduktion AT apprimusverlag gruppierenvonprufmerkmalenzuraufwandsreduzierungfurdieadaptiveprufplanungindervariantenproduktion |