Lean Six Sigma Green Belt & Black Belt Oefenboek
120 oefeningen en uitwerkingen voor Lean Six Sigma Green Belt en Black Belt
Paperback Nederlands 2016 2e druk 9789492240095Samenvatting
Om succesvol te kunnen zijn, is het voor alle organisaties van belang om voortdurend de klantvraag in het vizier te hebben. Door het effectief toepassen van Lean Six Sigma, is de organisatie in staat om efficiënt producten en diensten te leveren van excellente kwaliteit, tegen de laagst mogelijke kosten en met kortere doorlooptijden. Er zijn veel goede boeken geschreven over de Lean Six Sigma theorie. Echter het succesvol toepassen van de verschillende technieken leert men vooral door te doen en te oefenen.
Dit oefenboek is daarom een waardevolle aanvulling op Lean Six Sigma trainingen voor Green en Black Belts. Door middel van een groot aantal oefeningen wordt geleerd om Lean Six Sigma technieken te combineren met de denkwijzen en vaardigheden die vereist zijn om succesvolle procesverbeteringen door te kunnen voeren. De structuur van dit boek is gebaseerd op de Lean Six Sigma Academy Syllabi voor Green en Black Belts.
Specificaties
Lezersrecensies
Inhoudsopgave
1.1 COMPETITIVE STRATEGIES 13
1.1.1 Lean and Six Sigma applications – Six Sigma organisatie 13
1.2 HISTORY OF CONTINUOUS IMPROVEMENT 13
1.3 PHILOSOPHY & PRINCIPLES 13
1.3.1 Lean principles – De 14 principes van Toyota (TPS) 13
1.3.2 Lean principles – Lean denken 14
1.4 ORGANIZATIONAL PROCESS MANAGEMENT 16
1.4.1 Business performance measures – EFQM / INK-model en dimensies 16
1.4.2 Business performance measures – EFQM / INK-spinnenweb 16
1.4.3 Business performance measures – Financiële kengetallen (Lean Accounting) 17
1.4.4 Business performance measures – Tegenwerkende accountingregels (Lean Accounting) 17
1.5 PROJECT SELECTION PROCESS 18
2. PROCESS IMPROVEMENT DEPLOYMENT 19
2.1 MANAGEMENT OF CHANGE 19
2.2 LEADERSHIP 19
2.2.1 Effective communication – Effectief vergaderen 19
2.2.2 Team performance, evaluation and reward – Motiveren en betrekken 19
2.3 TEAM DEVELOPMENT 19
2.3.1 Training Deployment – Kernpunten 19
3. PROJECT MANAGEMENT 20
3.1 TEAM FORMATION 20
3.2 PROCESS IMPROVEMENT ROADMAPS 20
3.3 VOICE OF CUSTOMER (VOC) 20
3.3.1 Customer Identification – Innovatiesubsidies 20
3.4 PROJECT CHARTER 21
3.5 PROJECT MANAGEMENT TECHNIQUES 21
3.5.1 Time management – Efficiënte bijeenkomsten 21
3.5.2 Time management – Projectvertraging 21
3.5.3 Project risk analysis and mitigation – Familiebedrijf 21
3.5.4 Lessons learned – One Point Lesson 22
4. CIMM LEVEL I – CREATING A SOLID FOUNDATION 23
4.1 ORGANIZED WORK ENVIRONMENT (5S) 23
4.1.1 Organised work environment (5S) – 5S activiteiten 23
4.2 STANDARDIZED WORK 23
4.2.1 Standardized work and Documentation – Standard Operating Procedures (SOP) 23
4.2.2 Standardized work and Documentation – Effectieve procesbeheersmethoden 23
4.3 QUALITY CONTROL & QUALITY ASSURANCE 24
4.3.1 Ongoing evaluation and auditing – Japanse cultuur 24
5. CIMM LEVEL II – CREATING A CONTINUOUS IMPROVEMENT CULTURE 25
5.1 KAIZEN 25
5.1.1 Kaizen events – Verspaningsafdeling 25
5.2 BASIC QUALITY TOOLS 28
5.2.1 Visualization of data – Kolommen stapelen 28
5.2.2 Visualization of data – Kolommen transponeren 28
5.2.3 Visualization of data – Subset data via een formule 28
5.2.4 Visualization of data – Samenvoegen tekst uit 2 kolommen 29
5.2.5 Basic Quality tools – Paretodiagram 29
5.2.6 Basic Quality tools – Staafdiagram 29
5.2.7 Basic Quality tools – Taartdiagram 29
5.2.8 Basic Quality tools – Boxplot 30
5.2.9 Basic Quality tools – Histogram 30
5.2.10 Basic Quality tools – Interval plot (met groepen) 30
5.2.11 Basic Quality tools – Interval plot 30
5.2.12 Basic Quality tools – Probability distribution plot 30
5.2.13 Basic Quality tools – Line plot 31
5.2.14 Basic Quality tools – Time series plot 31
5.2.15 Basic Quality tools – Probability plot 31
5.2.16 Basic Quality tools – Marginal plot 31
5.3 BASIC MANAGEMENT TOOLS 31
6. CIMM LEVEL III – CREATING STABLE AND EFFICIENT PROCESSES 32
DEFINE 32
6.1 PROCESS MAPPING 32
6.1.1 High level process description – Pannenkoek (SIPOC) 32
6.1.2 High level process description – Pannenkoek (Process mapping ) 32
6.1.3 High level process description – Pannenkoek (Cause & Effect matrix) 33
MEASURE 33
6.2 LEAN PERFORMANCE METRICS 33
6.2.1 Total Productive Maintenance (TPM) – Overall Equipment Effectiveness (OEE) 33
6.2.2 Total Productive Maintenance (TPM) – Afvullijn OEE 34
6.2.3 Types of data – Schaaltypen 34
ANALYZE 35
6.3 VALUE STREAM MAPPING (CURRENT STATE) 35
6.3.1 Value Stream Mapping (Current State) – Zaklantaarn productie - ENNA 35
IMPROVE 40
6.4 REDUCING MUDA (WASTE) 40
6.4.1 Waste identification – Logistiek proces inkomende goederen 40
6.5 REDUCING MURI (OVERBURDEN) 41
6.5.1 Flow – Cellen 41
6.5.2 Flow – Penny Fab 43
6.6 REDUCING MURA (UNEVENNESS) 45
6.6.1 Pull – Kanban, voorraadverloop (Shop Floor Control) 45
6.6.2 Pull – Oppervlaktebehandeling 46
6.6.3 Quick Change Over (SMED) – Omstellingen in dienstverlenende - administratieve processen 47
6.6.4 Quick Change Over (SMED) – SMED tooling 47
6.7 VALUE STREAM MAPPING – FUTURE STATE 48
6.7.1 Value Stream Mapping (Future State) – Zaklantaarn productie - ENNA 48
6.7.2 Value Stream Mapping (Future State) – Spuitgietproces – ENNA 49
6.7.3 Value Stream Mapping (Future State) – Assemblageproces – ENNA 49
CONTROL 50
6.8 FIRST TIME RIGHT 50
6.8.1 Failure Mode and Effects Analysis (pFMEA) – Pannenkoek (pFMEA) 50
6.8.2 Jidoka & Poka Yoke – Poka Yoke 50
7. CIMM LEVEL IV – CREATING CAPABLE PROCESSES 51
DEFINE 51
7.1 CRITICAL TO QUALITY (CTQ) 51
7.1.1 CTx Flowdown – Pannenkoek 51
7.1.2 CTx Flowdown – Hotel 52
MEASURE 52
7.2 SIX SIGMA PERFORMANCE METRICS 52
7.3 STATISTICS 52
7.3.1 Basic terms – Gemiddelde en mediaan 52
7.3.2 Basic terms – Variantie, standaarddeviatie en range 52
7.3.3 Basic terms – Variantie en standaarddeviatie 53
7.3.4 Descriptive statistics – “Histogram with fit and groups” van een nokkenas 53
7.3.5 Descriptive statistics – Populatie versus steekproef 53
7.3.6 Descriptive statistics – Steekproefmethodes 53
7.3.7 Descriptive statistics – Werpen met 2 dobbelstenen (Som van kansen) 54
7.3.8 Descriptive statistics – Bjorn en Svein (Hoogste kans met dobbelstenen) 54
7.3.9 Descriptive statistics – Dagproductie (Kans met steekproef) 54
7.4 DISTRIBUTIONS 54
7.4.1 Common continuous distributions – Briketten (Normale kansverdeling) 54
7.4.2 Common continuous distributions – Diameter van asjes 55
7.4.3 Common continuous distributions – Steekproef kogellagers 55
7.4.4 Common continuous distributions – Espresso 55
7.4.5 Common discrete distributions – Schroeven 1 (Binomiale kans) 55
7.4.6 Common discrete distributions – Schroeven 2 (Binomiale kansverdeling) 56
7.4.7 Common discrete distributions – Offertes - I 56
7.4.8 Common discrete distributions – Offertes - II 56
7.4.9 Common discrete distributions – Helpdesk (Poisson kansverdeling) 56
7.4.10 Common discrete distributions – Referendum stemgerechtigden 56
7.4.11 Central limit theorem – Proef op de som 57
7.5 MEASUREMENT SYSTEMS 57
7.5.1 Measurement Systems Analysis (MSA) – Positive, Negative, Non-linear and Bias 57
7.5.2 Measurement Systems Analysis (MSA) – Laboratoriummeting (MSA) 57
7.5.3 Measurement Systems Analysis (MSA) – Foliediktemeting (MSA) 58
7.5.4 Measurement Systems Analysis (MSA) – Asje, 50 keer gemeten (Type 1 Gage Study) 59
7.5.5 Measurement Systems Analysis (MSA) – Afwegen chemicalie (Gage Linearity) 59
7.5.6 Attribute Agreement Analysis – Bloedeieren (Attributive Agreement) 60
7.5.7 Attribute Agreement Analysis – Dropfabrikage (Attribute Gage Study) 60
ANALYZE 61
7.6 HYPOTHESIS TESTING 61
7.6.1 Tests for means, variances and proportions – Instellen vulmachine 61
7.6.2 Tests for means, variances and proportions – Asjes draaien 61
7.6.3 Tests for means, variances and proportions – Doorlooptijd subsidieaanvraag 62
7.6.4 Tests for means, variances and proportions – Fastfoodketen 62
7.6.5 Tests for means, variances and proportions – Sportieve studenten 63
7.6.6 Tests for means, variances and proportions – Zuivere munt tossen 63
7.6.7 Paired-comparison tests – Breeksterkte van kabels 63
7.6.8 Paired-comparison tests – Doorbuigen plastic buizen 63
7.6.9 Paired-comparison tests – Distributiecentrum 64
7.6.10 Paired-comparison tests – Callcenter aanbod 64
7.6.11 Goodness-of-fit (Chi square) tests – Jongens en meisjes (Goodness of Fit) 64
7.6.12 Goodness-of-fit (Chi square) tests – Kogeldiameters (Contingentie (kans) Tabellen) 65
7.6.13 Goodness-of-fit (Chi square) tests – Ongelukken en leeftijd 65
7.6.14 Non-parametric tests – Nieuw logo 65
7.6.15 Non-parametric tests – Titaniumgehalte 65
7.6.16 Non-parametric tests – Rechtsaf slaan 66
7.6.17 Non-parametric tests – Inkomen per stadsdeel 66
7.7 EXPLORATORY DATA ANALYSIS 67
7.7.1 Regression analysis – Plantgroei 67
7.7.2 Regression analysis – Visserslatijn 67
7.7.3 Regression analysis – Marketing Campagne I 67
7.7.4 Regression analysis – Marketing Campagne II 68
7.7.5 Regression analysis – Transportkosten 68
7.7.6 Analysis of variance (ANOVA) – Bloedstollend onderzoek 69
7.7.7 Analysis of variance (ANOVA) – Typesnelheid 69
7.7.8 Multivariate studies – Sinteren van metaal (Multi-Vari chart) 70
7.7.9 Attribute data analysis – Challenger Case 70
7.8 PROCESS CAPABILITY AND PERFORMANCE 71
7.8.1 Process capability studies – Diameter van asjes (Process Capability) 71
7.8.2 Process capability studies – Vulgewicht van tubes 71
7.8.3 Process capability studies – Oven temperaturen 72
7.8.4 Process capability studies – Temperatuur op kantoor 72
IMPROVE 73
7.9 DESIGN OF EXPERIMENTS (DOE) 73
7.9.1 Two-level fractional factorial experiments – Fietsexperiment (DOE fractional factorial) 73
7.9.2 Two-level fractional factorial experiments – Lithografie – 5 factoren 73
CONTROL 75
7.10 STATISTICAL PROCESS CONTROL (SPC) 75
7.10.1 Selection and application of control charts – Xbar & R chart van een nokkenas 75
7.10.2 Selection and application of control charts – Leverancier 75
7.10.3 Selection and application of control charts – Afwijking van nominal (DNOM – Chart) 75
7.10.4 Selection and application of control charts – Regelkaart van LCD-schermen 76
7.10.5 Selection and application of control charts – Regelkaart valse “Out-Of-Control”-meldingen 76
8. CIMM LEVEL V – CREATING WORLD CLASS PRODUCTS 77
8.1 PRODUCT LIFECYCLE MANAGEMENT (PLM) 77
8.2 DEVELOPMENT FRAMEWORKS 77
8.3 DESIGN FOR SIX SIGMA TECHNIQUES 77
8.3.1 Tolerance Analysis – Bol en balk 77
UITWERKINGEN 79
1. WORLD CLASS PERFORMANCE 80
1.1 COMPETITIVE STRATEGIES 80
1.1.1 Lean and Six Sigma applications – Six Sigma organisatie 80
1.2 HISTORY OF CONTINUOUS IMPROVEMENT 80
1.3 PHILOSOPHY & PRINCIPLES 80
1.3.1 Lean principles – De 14 principes van Toyota (TPS) 80
1.3.2 Lean principles – Lean denken 82
1.4 ORGANIZATIONAL PROCESS MANAGEMENT 82
1.4.1 Business performance measures – EFQM / INK-model en dimensies 82
1.4.2 Business performance measures – EFQM / INK-spinnenweb 83
1.4.3 Business performance measures – Financiële kengetallen (Lean Accounting) 84
1.4.4 Business performance measures – Tegenwerkende accountingregels (Lean Accounting) 85
1.5 PROJECT SELECTION PROCESS 86
2. PROCESS IMPROVEMENT DEPLOYMENT 87
2.1 MANAGEMENT OF CHANGE 87
2.2 LEADERSHIP 87
2.2.1 Effective communication – Effectief vergaderen 87
2.2.2 Team performance, evaluation and reward – Motiveren en betrekken 87
2.3 TEAM DEVELOPMENT 88
2.3.1 Training Deployment – Kernpunten 88
3. PROJECT MANAGEMENT 89
3.1 TEAM FORMATION 89
3.2 PROCESS IMPROVEMENT ROADMAPS 89
3.3 VOICE OF CUSTOMER (VOC) 89
3.3.1 Customer Identification – Innovatiesubsidies 89
3.4 PROJECT CHARTER 90
3.5 PROJECT MANAGEMENT TECHNIQUES 90
3.5.1 Time management – Efficiente bijeenkomsten 90
3.5.2 Time management – Projectvertraging 90
3.5.3 Project risk analysis and mitigation – Familiebedrijf 90
3.5.4 Lessons learned – One Point Lesson 92
4. CIMM LEVEL I – CREATING A SOLID FOUNDATION 93
4.1 ORGANIZED WORK ENVIRONMENT (5S) 93
4.1.1 Organised work environment (5S) – 5S-activiteiten 93
4.2 STANDARDIZED WORK 93
4.2.1 Standardised work and documentation – Standard Operating Procedures (SOP) 93
4.2.2 Standardised work and documentation – Effectieve procesbeheersmethoden 93
4.3 QUALITY CONTROL & QUALITY ASSURANCE 94
4.3.1 Ongoing evaluation and auditing – Japanse cultuur 94
5. CIMM LEVEL II – CREATING A CONTINUOUS IMPROVEMENT CULTURE 95
5.1 KAIZEN 95
5.1.1 Kaizen events – Verspaningsafdeling 95
5.2 BASIC QUALITY TOOLS 97
5.2.1 Visualization of data – Kolommen stapelen 97
5.2.2 Visualization of data – Kolommen transponeren 98
5.2.3 Visualization of data – Subset data via een formule 99
5.2.4 Visualization of data – Samenvoegen tekst uit 2 kolommen 100
5.2.5 Basic Quality tools – Paretodiagram 101
5.2.6 Basic Quality tools – Staafdiagram 102
5.2.7 Basic Quality tools – Taartdiagram 104
5.2.8 Basic Quality tools – Boxplot 106
5.2.9 Basic Quality tools – Histogram 107
5.2.10 Basic Quality tools – Interval plot (met groepen) 109
5.2.11 Basic Quality tools – Interval plot 111
5.2.12 Basic Quality tools – Probability distribution plot 112
5.2.13 Basic Quality tools – Line plot 114
5.2.14 Basic Quality tools – Time series plot 115
5.2.15 Basic Quality tools – Probability plot 116
5.2.16 Basic Quality tools – Marginal plot 119
5.3 BASIC MANAGEMENT TOOLS 119
6. CIMM LEVEL III – CREATING STABLE AND EFFICIENT PROCESSES 120
DEFINE 120
6.1 PROCESS MAPPING 120
6.1.1 High level process description – Pannenkoek (SIPOC) 120
6.1.2 High level process description – Pannenkoek (Process mapping) 121
6.1.3 High level process description – Pannenkoek (Cause & Effect matrix) 122
MEASURE 123
6.2 LEAN PERFORMANCE METRICS 123
6.2.1 Total Productive Maintenance (TPM) – Overall Equipment Effectiveness (OEE) 123
6.2.2 Total Productive Maintenance (TPM) – Afvullijn OEE 124
6.2.3 Types of data – Schaaltypen 128
ANALYZE 128
6.3 VALUE STREAM MAPPING (CURRENT STATE) 128
6.3.1 Value Stream Mapping (Current State) – Zaklantaarn productie - ENNA 128
IMPROVE 130
6.4 REDUCING MUDA (WASTE) 130
6.4.1 Waste identification – Logistiek proces inkomende goederen 130
6.5 REDUCING MURI (OVERBURDEN) 131
6.5.1 Flow – Cellen 131
6.5.2 Flow – Penny Fab 131
6.6 REDUCING MURA (UNEVENNESS) 132
6.6.1 Pull – Kanban, voorraadverloop (Shop Floor Control) 132
6.6.2 Pull – Oppervlaktebehandeling 133
6.6.3 Quick Change Over (SMED) – Omstellingen in dienstverlenende - administratieve processen 134
6.6.4 Quick Change Over (SMED) – SMED tooling 135
6.7 VALUE STREAM MAPPING – FUTURE STATE 137
6.7.1 Value Stream Mapping (Future State) – Zaklantaarn productie - ENNA 137
6.7.2 Value Stream Mapping (Future State) – Spuitgietproces – ENNA 138
6.7.3 Value Stream Mapping (Future State) – Assemblageproces – ENNA 140
CONTROL 145
6.8 FIRST TIME RIGHT 145
6.8.1 Failure Mode and Effects Analysis (pFMEA) – Pannenkoek (pFMEA) 145
6.8.2 Jidoka & Poka Yoke – Poka Yoke 146
7. CIMM LEVEL IV – CREATING CAPABLE PROCESSES 148
DEFINE 148
7.1 CRITICAL TO QUALITY (CTQ) 148
7.1.1 CTx Flowdown – Pannenkoek (CTQ Flowdown) 148
7.1.2 CTx Flowdown – Hotel 150
MEASURE 151
7.2 SIX SIGMA PERFORMANCE METRICS 151
7.3 STATISTICS 151
7.3.1 Basic terms – Gemiddelde en mediaan 151
7.3.2 Basic terms – Variantie, standaarddeviatie en range 152
7.3.3 Basic terms – Variantie en standaarddeviatie 152
7.3.4 Descriptive statistics – “Histogram with fit and groups” van een nokkenas 152
7.3.5 Descriptive statistics – Populatie versus steekproef 153
7.3.6 Descriptive statistics – Steekproefmethodes 153
7.3.7 Descriptive statistics – Werpen met 2 dobbelstenen (Som van kansen) 154
7.3.8 Descriptive statistics – Bjorn en Svein (Hoogste kans met dobbelstenen) 154
7.3.9 Descriptive statistics – Dagproductie (Kans met steekproef) 155
7.4 DISTRIBUTIONS 156
7.4.1 Common continuous distributions – Briketten (Normale kansverdeling) 156
7.4.2 Common continuous distributions – Diameter van asjes 159
7.4.3 Common continuous distributions – Steekproef kogellagers 162
7.4.4 Common continuous distributions – Espresso 164
7.4.5 Common discrete distributions – Schroeven 1 (Binomiale kans) 167
7.4.6 Common discrete distributions – Schroeven 2 (Binomiale kansverdeling) 174
7.4.7 Common discrete distributions – Offertes - I 174
7.4.8 Common discrete distributions - Offerte - II 180
7.4.9 Common discrete distributions – Helpdesk (Poisson kansverdeling) 180
7.4.10 Common discrete distributions – Referendum stemgerechtigden 188
7.4.11 Central limit theorem – Proef op de som 189
7.5 MEASUREMENT SYSTEMS 191
7.5.1 Measurement Systems Analysis (MSA) – Positive, Negative, Non-linear and Bias 191
7.5.2 Measurement Systems Analysis (MSA) – Laboratoriummeting (MSA) 197
7.5.3 Measurement Systems Analysis (MSA) – Foliediktemeting (MSA) 199
7.5.4 Measurement Systems Analysis (MSA) – Asje, 50 keer gemeten (Type 1 Gage Study) 202
7.5.5 Measurement Systems Analysis (MSA) – Afwegen chemicalie (Gage Linearity) 206
7.5.6 Measurement Systems Analysis – Bloedeieren (Attributive Agreement) 208
7.5.7 Attribute Agreement Analysis – Dropfabrikage (Attribute Gage Study) 212
ANALYZE 213
7.6 HYPOTHESIS TESTING 213
7.6.1 Tests for means, variances and proportions – Instellen vulmachine 213
7.6.2 Tests for means, variances and proportions – Asjes draaien 215
7.6.3 Tests for means, variances and proportions – Doorlooptijd subsidieaanvraag 217
7.6.4 Tests for means, variances and proportions – Fastfoodketen 219
7.6.5 Tests for means, variances and proportions – Sportieve studenten 221
7.6.6 Tests for means, variances and proportions – Zuivere munt tossen 223
7.6.7 Paired-comparison tests – Breeksterkte van kabels 225
7.6.8 Paired-comparison tests – Doorbuigen plastic buizen 226
7.6.9 Paired-comparison tests – Distributiecentrum 232
7.6.10 Paired-comparison tests – Callcenter aanbod 237
7.6.11 Goodness-of-fit (Chi square) tests – Jongens en meisjes (Goodness of Fit) 239
7.6.12 Goodness-of-fit (Chi square) tests – Kogeldiameters (Contingentie (kans) Tabellen) 240
7.6.13 Goodness-of-fit (Chi square) tests – Ongelukken en leeftijd 242
7.6.14 Non-parametric tests – Nieuw logo 243
7.6.15 Non-parametric tests – Titaniumgehalte 245
7.6.16 Non-parametric tests – Rechtsaf slaan 247
7.6.17 Non-parametric tests – Inkomen per stadsdeel 248
7.7 EXPLORATORY DATA ANALYSIS 251
7.7.1 Regression analysis – Plantgroei 251
7.7.2 Regression analysis – Visserslatijn 254
7.7.3 Regression analysis – Marketing Campagne I 259
7.7.4 Regression analysis – Marketing Campagne II 261
7.7.5 Regression analysis – Transportkosten 264
7.7.6 Analysis of variance (ANOVA) – Bloedstollend onderzoek 272
7.7.7 Analysis of variance (ANOVA) – Typesnelheid 275
7.7.8 Multivariate studies – Sinteren van metaal (Multi-Vari chart) 279
7.7.1 Attribute data analysis - Challenger Case 280
7.8 PROCESS CAPABILITY AND PERFORMANCE 284
7.8.1 Process capability studies – Diameter van asjes (Process Capability) 284
7.8.2 Process capability studies – Vulgewicht van tubes 286
7.8.3 Process capability studies – Oven temperaturen 288
7.8.4 Process capability studies – Temperatuur op kantoor 291
IMPROVE 294
7.9 DESIGN OF EXPERIMENTS (DOE) 294
7.9.1 Two-level fractional factorial experiments – Fietsexperiment (DOE fractional factorial) 294
7.9.2 Two-level fractional factorial experiments – Lithografie – 5 factoren 299
CONTROL 302
7.10 STATISTICAL PROCESS CONTROL (SPC) 302
7.10.1 Selection and application of controlcharts – Xbar & R chart van een nokkenas 302
7.10.2 Selection and application of control charts – Leverancier 303
7.10.3 Selection and application of control charts – Afwijking van nominaal (DNOM –Chart) 304
7.10.4 Selection and application of control charts – Regelkaart van LCD-schermen 305
7.10.5 Selection and application of controlcharts – Regelkaart valse Out-Of-Control meldingen 306
8. CIMM LEVEL V – CREATING WORLD CLASS PRODUCTS 309
8.1 PRODUCT LIFECYCLE MANAGEMENT (PLM) 309
8.2 DEVELOPMENT FRAMEWORKS 309
8.3 DESIGN FOR SIX SIGMA TECHNIQUES 309
8.3.1 Tolerance analysis – Bol en balk 309
OVERZICHT VAN OEFENINGEN VOOR INDUSTRIE EN DIENSTVERLENING OP GB EN BB NIVEAU 315
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