Project Knowledge Management (eBook)

Systematic Learning with the Project Comparison Technique
eBook Download: PDF
2010 | 2010
XIV, 175 Seiten
Springer Berlin (Verlag)
978-3-540-92794-5 (ISBN)

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Project Knowledge Management - Erwin Wasielewski
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This is the first English book on Project Comparison Technique. It facilitates the first steps towards project comparisons for project management experts and scientists. It also details possible approaches and relates real-world experiences.

Dedication 4
Foreword 5
Acknowledgements 7
Contents 8
Part I Theory 12
1 Introduction 13
1.1 Content of this Publication 13
1.2 Reason and Purpose of Project Comparison Technique 14
1.3 Similarity of Projects 16
1.4 Relativity of Results 16
1.5 Methods of Computing 17
1.6 Initial and Final Data of Projects 19
1.7 Presentation of the Material 19
2 Breakdown of Project Objective 21
2.1 Basic Objective Structure 21
2.2 Expanded and Reduced Objective Structures 23
2.3 Goals 24
2.3.1 Freedom of Choice 24
2.3.2 Base-Goals and Check-Goals 25
2.4 Goal Weights 27
2.5 Forms and Values of Goals and Goal Weights 29
3 Partial Comparison 30
3.1 The Term Partial Comparison 30
3.2 Parameters 30
3.3 Targets and Influences 32
3.4 Scatter Value and Guide Value 33
3.5 Supplementing the Scatter Value 35
3.5.1 Sign Rule 35
3.5.2 Standardization of Variation 35
3.5.3 Scale Constant 37
3.6 Difficulty and Keeping 37
3.7 Additional Example for Partial Comparison 38
3.8 Including Several Parameters 39
3.9 Partial Comparison Without Parameters 40
4 Introduction to Terminology 42
5 Total Comparison 44
5.1 Extending the Notions Difficulty and Keeping 44
5.1.1 Within the Basic Objective Structure 44
5.1.2 Within an Extended Objective Structure 46
5.2 Goodness: Concept and Characteristics 47
5.2.1 The Goodness Concept 47
5.2.2 Within the Basic Objective Structure 48
5.2.3 Within an Extended Objective Structure 50
5.3 Classification of Terms 50
6 Comparison Typology 52
6.1 Types of Comparisons by Data Combinations 52
6.2 Including Quasi-Parameters 53
6.3 Descriptive and Inferential Comparisons 56
6.4 Initial and Final Comparisons 56
6.5 Comprehensive Terminology 60
7 Correction for Cost, Price, and Working-Time Index 62
8 Mathematical Issues of Partial Comparisons 64
8.1 Balance Function 64
8.2 Transformations 69
8.3 Standard Deviation of Scatter Values 70
8.4 Methodological Conditions and Steps of Parametric Partial Comparisons 70
8.5 Realization Probability of Project Objectives 73
8.6 Parametric Project Model 76
8.7 Difficulty as a Quasi-Parameter 78
8.8 The Systematics of Terminology 79
Part II Application 81
9 177 Projects as an Example 82
9.1 Contents and Settings 82
9.2 Product Range 83
9.3 Project Realization and Organization 83
9.3.1 Phases 83
Conceptual Phase: 84
Development Phase: 84
Production Engineering Phase: 84
Production Start-Up: 84
Note: 85
9.3.2 Project Features 85
9.3.3 Project Management 86
10 Collecting, Keeping, and Processing Data 87
10.1 Origin 87
10.2 The Concept of Collected Variables 88
10.2.1 Overview 88
10.2.2 Details 89
10.3 Collection Stages and Reference Lists 91
10.4 File Structure and Evaluation Tools 96
10.5 Data Errors 98
11 Total Comparison of all 177 Projects 100
11.1 Purpose 100
11.2 Goals and Goal Weights 100
11.3 Parameters 102
11.4 Balance Functions and Result Plots 103
11.5 Statistics Issues 109
Part III Utilization 111
12 Presenting Comparison Results 112
12.1 General Considerations 112
12.2 Comparison Tables 112
12.3 Star Charts 115
12.4 Planning Charts 117
12.5 Time Series and Trend Charts 119
13 Application Issues 128
13.1 Getting the Parameters 128
13.1.1 How to Search for Parameters 128
13.1.2 How to Select Parameters 129
13.2 Effects of Individual Parameters 130
13.3 Stability of Project Goodness 133
13.4 Organizing and Communicating Your Work 134
13.5 Exogenous Planning and Controlling of Project Progress 135
13.5.1 Purpose 135
13.5.2 Data Base 135
13.5.3 Application 136
13.6 Objective-Independent Terminology 137
14 Specialized Prognosis Methods for some Base-Goals 139
14.1 Notions 139
14.2 Price 139
14.3 COCOMO 140
14.4 Function Points 142
14.4.1 Short Description 142
14.4.2 Inverse Calculation 143
14.4.3 Supplementing Inverse Calculation by Normal Calculation 145
15 A Software Tool for Simple Project Comparisons 146
16 Approaching Success Characteristics 147
16.1 Binary Objectives and Quasi-Objectives 147
16.2 Taking Account of Binarity 148
16.3 Taking Account of Stakeholder Satisfaction 150
16.4 Taking Account of the Form of Project Management 152
16.5 Taking Account of the Project Consequences 152
16.6 Total Comparison, Including the New Criteria 154
Table of Abbreviations 157
Bibliography of the German Edition 161
Additional Bibliography of the English Edition 165
List of Figures 166
Index 169
Author 173

Erscheint lt. Verlag 25.6.2010
Zusatzinfo XIV, 175 p.
Verlagsort Berlin
Sprache englisch
Themenwelt Wirtschaft Betriebswirtschaft / Management Projektmanagement
Wirtschaft Betriebswirtschaft / Management Unternehmensführung / Management
Schlagworte knowledge management • Management • Project Characteristics System • Project Comparison Technique • Project Efficiency • Project Prognoses • Project Theory
ISBN-10 3-540-92794-8 / 3540927948
ISBN-13 978-3-540-92794-5 / 9783540927945
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