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Home Builder's Guide to Continuous Improvement: Schedule, Quality, Customer Satisfaction, Cost, and Safety [Pehme köide]

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(ReVelle Solutions LLC, Santa Ana, California, USA), (Phoenix, Arizona, USA)
  • Formaat: Paperback / softback, 224 pages, kõrgus x laius: 234x156 mm, kaal: 362 g, 11 Tables, black and white; 108 Illustrations, black and white
  • Ilmumisaeg: 16-Dec-2009
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1420055070
  • ISBN-13: 9781420055078
Teised raamatud teemal:
Home Builder's Guide to Continuous Improvement: Schedule, Quality, Customer Satisfaction, Cost, and SafetySuurem pilt
  • Formaat: Paperback / softback, 224 pages, kõrgus x laius: 234x156 mm, kaal: 362 g, 11 Tables, black and white; 108 Illustrations, black and white
  • Ilmumisaeg: 16-Dec-2009
  • Kirjastus: CRC Press Inc
  • ISBN-10: 1420055070
  • ISBN-13: 9781420055078
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781420055078.html
Märksõnad:
Presenting well-known tools and techniques, the Home Builder's Guide to Continuous Improvement provides important insights and necessary information to reduce cycle time duration and variation in order to improve quality and customer satisfaction and to minimize costs and accidents. Each chapter offers examples based on the authors' personal experience working with builders and trade contractors. Including figures and graphs to enhance the text, this book contains simple language, using residential construction industry terminology to improve understanding of continuous improvement concepts and practices. No previous math background is required, making it suitable for all levels.

Based on extensive experience working with home builders and subcontractors, the authors present information and insights for minimizing costs and process cycle time while maximizing quality, safety, and customer satisfaction. Presenting continuous improvement concepts, analytical tools, techniques, and methods first developed in manufacturing, they cover cycle time management; quality function deployment; problem identification, solving, and follow-up (the control phase in Sigma Six methodology); data design; software; and selection of the most appropriate tools for a residential construction project. The plastic comb-bound guide includes cases studies, diagrams, a glossary, and websites. Dr. Revelle is a veteran consulting statistician; Margetts works in the residential construction industry. Annotation ©2010 Book News, Inc., Portland, OR (booknews.com)
Preface xiii
Authors xv
Chapter 1 Introduction 1
1.1 Purpose of Book
1
1.2 Target Audience
2
1.3 Benefits of the Book
2
1.4 Examples
3
1.5 Book Format
3
Chapter 2 Cycle Time Management 7
2.1 Introduction
7
2.2 Cycle Time Duration
7
2.3 Cycle Time Variation
8
2.4 Lean Construction
9
2.5 Example
12
Chapter 3 Problems 13
3.1 Introduction
13
3.2 Identification
13
3.3 Ranking
14
3.4 Example
16
Chapter 4 Problem Solving 17
4.1 Introduction
17
4.2 Objectives
17
4.2.1 Accuracy versus Precision
18
4.3 Methodologies
20
4.3.1 Total Quality Management (TQM)
20
4.3.2 Six Sigma
21
4.3.2.1 Define
21
4.3.2.2 Measure
22
4.3.2.3 Analyze
22
4.3.2.4 Improve
22
4.3.2.5 Control
23
4.3.3 Lean Six Sigma
23
4.3.4 Kaizen
25
4.2.5 B.U.I.L.D.
26
4.4 Example
27
Chapter 5 Dealing with Data 29
5.1 Introduction to Data
29
5.1.1 What Are Data?
29
5.1.2 Types of Data
29
5.1.2.1 Attribute/Discrete Data
29
5.1.2.2 Variable/Continuous Data
30
5.1.2.3 Other Types of Data
30
5.1.3 What Is a Variable?
31
5.1.4 Types of Variables
31
5.1.4.1 Variable and Constant Data
31
5.1.4.2 Dependent Variables
31
5.1.4.3 Independent Variables
31
5.1.5 Variable Relationships
32
5.2 Data Accumulation
32
5.2.1 Predata Collection
32
5.2.1.1 Data Stratification
32
5.2.1.2 Population Consistency/Uniformity
32
5.2.1.3 Sample Selection
33
5.2.2 Data Collection
33
5.2.2.1 Data Collection Forms (Checklists and Check Sheets)
33
5.2.2.2 Data Collection Procedure
33
5.2.3 Data Sufficiency
34
5.3 Data Analysis
34
5.3.1 Measures of Central Tendency
34
5.3.1.1 Mean
34
5.3.1.2 Median
34
5.3.1.3 Mode
35
5.3.2 Measures of Dispersion
35
5.3.2.1 Range
35
5.3.2.2 Standard Deviation
36
5.3.2.3 Quartile
36
5.3.2.4 Decile
37
5.3.2.5 Percentile
37
5.3.3 Data Ranking
37
5.4 Data Patterns
38
5.4.1 Unimodal Curve
38
5.4.2 Bimodal Curve
39
5.4.3 Multimodal Curve
39
5.4.4 Symmetric Curve
39
5.4.5 Asymmetric Curve
39
5.4.6 Other Curves
39
5.5 Example
39
Chapter 6 Root Causes 43
6.1 Introduction
43
6.2 Determination
43
6.3 Selection
47
6.3.1 Time
47
6.3.2 Budget
49
6.3.3 Personnel/Manpower
49
6.3.4 Expertise
49
6.3.5 Software
50
6.4 Examples
50
6.4.1 Example 1
50
6.4.2 Example 2
51
Chapter 7 Corrective Actions 53
7.1 Introduction
53
7.2 Determination
53
7.3 Selection
54
7.3.1 Impact—Effort Matrix
55
7.3.2 Quantified Force Field Analysis
55
7.3.3 Prioritization Matrix
56
7.4 Implementation
57
7.4.1 Statistical Tests
58
7.4.1.1 Chi-Square (Test of Homogeneity)
58
7.4.1.2 t-Test (for Independent Samples)
59
7.4.1.3 Analysis of Variance (ANOVA)
60
7.5 Example
62
Chapter 8 Problem Follow-Up 63
8.1 Introduction
63
8.2 Data Collection and Analyses
64
8.2.1 X-Bar & R and X-Bar & S Charts
65
8.2.2 Individual and Moving Range (IMR) Chart
66
8.2.3 P Chart
66
8.2.4 Np Chart
66
8.2.5 C Chart and U Chart
66
8.2.6 Other Charts
67
8.2.7 Shift Detection
68
8.2.8 Process Capability
68
8.3 Process Modification
72
8.4 Example
72
Chapter 9 Relationships 75
9.1 Determining Relationships between Data Sets
75
9.2 Linear Relationships
75
9.3 Nonlinear Relationships
77
9.4 Other Relationships
77
9.5 Predicting Linear Relationships
78
9.6 Example
79
Chapter 10 Sampling and Randomization 83
10.1 Background
83
10.2 Convenience Sampling
83
10.3 Judgment Sampling
83
10.4 Types of Random Sampling
84
10.4.1 Drawing Slips of Paper from a Bowl
84
10.4.2 Random Number Tables
84
10.4.3 Computer-Based Random Selection
86
10.5 Applications of Sampling
86
10.5.1 Population Mean
87
10.5.2 Population Proportion
87
10.6 Example
87
Chapter 11 Sample Size Determination 89
11.1 Sampling
89
11.2 Sampling Error
89
11.2.1 Population Size
91
11.2.2 Precision
91
11.2.3 Confidence Level
91
11.3 Population Proportion
92
11.4 Example: Population Proportion
93
11.5 Population Mean
96
11.6 Example: Population Mean
100
Chapter 12 Software 103
12.1 Introduction
103
12.2 Excel
103
12.3 QI Macro for Excel
104
12.4 Advanced Analytical Software
104
12.4.1 Minitab
104
12.4.2 SPSS
105
12.4.3 SAS
105
12.5 Design Expert
106
12.6 QFD Software
106
12.6.1 QFD Capture
106
12.6.2 QFD Designer
107
12.6.2.1 Tool for Business Improvements (Compatible with MS Windows 95/2000 or NT)
107
12.6.3 QFD Online
107
12.6.3.1 QFD Online's "QFD Builder"
108
12.7 Microsoft Project
108
Chapter 13 Continuous Improvement Tools and Techniques 109
13.1 Introduction
109
13.2 Data Transformers
109
13.2.1 Descriptive Tools
109
13.2.2 Diagnostic Tools
109
13.3 Targeted Objectives
110
13.3.1 Analytical Tools
110
13.3.2 Prescriptive Tools
110
13.4 Tools and Techniques
110
13.4.1 Seven Quality Control Tools
110
13.4.2 Seven Management and Planning Tools
111
13.4.3 Seven Supplemental Tools
111
13.4.4 Seven Team Support Tools
111
13.5 Alphabetized List of Continuous Improvement Tools and Techniques
111
13.5.1 Affinity Analysis
111
13.5.2 Activity Network Diagram (AND)
112
13.5.3 Bar Chart
114
13.5.4 Box and Whisker Chart
115
13.5.5 Brainstorming (Classical versus 635 versus Imaginary): Classical Brainstorming
117
13.5.5.1 Interrelationships between Ground Rules of Classical Brainstorming
117
13.5.6 Cause and Effect Analysis
118
13.5.7 Check Sheet and Checklists
119
13.5.8 Control Charts
120
13.5.8.1 Types of Control Charts
121
13.5.9 Data Stratification
121
13.5.10 Defect Map
122
13.5.11 Events Log
122
13.5.12 Error or Mistake Proofing (Poka-Yoke)
122
13.5.12.1 Basic
123
13.5.12.2 Intermediate
123
13.5.12.3 Advanced
123
13.5.13 Five Whys
124
13.5.14 Forced Choice
126
13.5.15 Histogram
126
13.5.16 Interrelationship Digraph
127
13.5.17 Line Graph
128
13.5.18 List Reduction
129
13.5.19 Matrix Analysis
130
13.5.20 Mind Mapping
131
13.5.21 Multivoting
134
13.5.21.1 Multivoting Example
135
13.5.22 Nominal Group Technique
136
13.5.22.1 Nominal Group Technique Example
137
13.5.23 Paired Comparisons
137
13.5.24 Pairwise Ranking
138
13.5.25 Pareto Analysis
140
13.5.26 Prioritization Matrix
140
13.5.27 Process Decision Program Chart
142
13.5.28 Process Flowchart versus Process Map
143
13.5.28.1 Process Flowchart
143
13.5.28.2 Process Map
145
13.5.29 Progress Center
147
13.5.30 Project Status/Power Curve (PS/PC)
147
13.5.30.1 Scope the Complete Project
148
13.5.30.2 Scope the Individual Project Phases
148
13.5.30.3 Convert Individual Project Phase Durations into Percentages
148
13.5.30.4 Create the PS/PC Baseline
149
13.5.30.5 Plotting Project Status against the Project Baseline
150
13.5.30.6 Another Example
150
13.5.31 Quantified Force Field Analysis
151
13.5.32 Random Sampling
152
13.5.33 Run Chart
153
13.5.34 Samples versus Populations
153
13.5.35 Scatter Analysis
154
13.5.36 Tally Sheet
154
13.5.37 Tree Diagram
156
Chapter 14 Quality Function Deployment 157
14.1 Introduction
157
14.2 Kano Model
159
14.2.1 The MUSTs
160
14.2.2 The WANTs
161
14.2.3 The WOWs
161
14.2.4 Changes over Time versus Competition
161
14.2.5 How to Create WOWs/Attractive Quality
162
14.3 The WHAT—HOW Concept
163
14.4 The House of Quality
165
14.5 Advantages and Limitations of QFD
166
14.6 QFD Software
167
14.7 Example
170
Chapter 15 Design of Experiments 171
15.1 Approaches to Experimental Design
171
15.2 Objectives of DOE
172
15.3 Factorial Designs
172
15.4 Fractional Factorial Designs
173
15.5 Screening Designs
175
15.6 Robust Design/Taguchi Methods
177
15.7 Optimization Designs
178
15.8 Planning and Running DOE
180
15.9 Types of Experiments
180
15.10 Before the Statistician Arrives
182
15.11 Orthogonal Array
183
15.12 Glossary of DOE Terms
186
15.13 Example
186
Comprehensive Glossary of Continuous Improvement Terms 189
Pertinent Web Sites Addressing Continuous Improvement 197
Index 199
Jack B. ReVelle, Derek N. Margetts