Managing the Dynamics of New Product Development Processes

by Karniel, Arie; Reich, Yoram

• ISBN13: 9780857295699
• ISBN10: 0857295691
• Format: Hardcover
• Copyright: 2011-08-04
• Publisher: Springer Verlag

Summary

Managing the Dynamics of New Product Development Processes merges product-based planning, process modelling, process execution, probabilistic simulations, and simulation based decision-making into one framework called the Dynamic new-Product Development Process. It provides readers with a means of improving the management of product development through enhanced methods and tools that are specifically tailored to the characteristics and challenges of such processes. Within the framework, the methods used are enhanced or modified to fit the new product development process requirements.#xA0; Each specific method is exhaustively analyzed, from the basic definition of terms through a description of the state of the art of that topic and its limitations. Then, the method enhancements are illustrated by many examples, and discussed while suggesting further research directions. Finally, the enhanced methods are integrated and demonstrated by a test case. The main two methods described are the design structure matrix (DSM) and Petri nets, which are merged into a novel concept entitled DSM nets.Managing the Dynamics of New Product Development Processes provides algorithms, proofs, and practical examples that can be used for general study of the issues concerned. The main concepts presented are applicable to systems engineering and can be used by practitioners of product development processes, such as designers, product managers, and process managers, as well as developers of process management tools for systems with dynamically changing process structures.

Table of Contents

Introduction	p. 1
Product Lifecycle Management	p. 3
Research Contribution	p. 4
Research Goals	p. 6
Roadmap	p. 7
Ontology	p. 8
New Concepts and Enhancements	p. 11
Research Concepts Development	p. 11
DSM-Based Optimization Algorithm	p. 12
Self-Iterations Extension of DSM	p. 13
Conversion to Process Models	p. 13
Process Execution and Simulation	p. 14
Other Enhancements	p. 14
References	p. 14
Current State of the Art and Enhancements of Existing Methods
Managing Development Processes	p. 19
Development Processes	p. 19
Administrative Approaches for Managing NPD Processes	p. 24
Process Dynamics Classification	p. 25
Adaptive Processes	p. 27
Process-Models Classificatio	p. 28
Pre-Defined Processes (P-process)	p. 28
Current Processes (C-process)	p. 29
Run-Time Process (RT-process)	p. 29
WfMS Tools	p. 30
A Model of Managing Fixed Scheme Processes	p. 31
References	p. 33
Design Process Planning Using DSM	p. 37
DSM Definition	p. 38
DSM Type Classifications	p. 39
DSM-Based Algorithms	p. 41
DSM Reordering: Partitioning Procedure	p. 43
Optimization Methods in DSM-Based Algorithms	p. 44
Using DSM for Planning: The Data Collection Process	p. 45
References	p. 47
DSM Enhancements	p. 51
DSM Data	p. 51
DSM Optimization	p. 55
DSM Self-Iterations	p. 59
References	p. 61
Simulations	p. 63
Using DSM for Simulation	p. 64
DSM-Based Simulation Parameters	p. 68
Learning Curve	p. 68
Objective Function	p. 70
Statistical Analysis for Decision-Making	p. 71
References	p. 72
Process Modeling Using Workflow-Nets	p. 75
Process Modeling	p. 75
Process Correctness	p. 76
General: Petri Nets	p. 77
WF-Nets	p. 79
Correctness Criteria	p. 80
Well-Handled Processes and Soundness of Iterative Processes	p. 82
Process Scheme Modifications	p. 85
Process Expansion	p. 86
Dynamic Process Changes	p. 88
Formal Process Definitions	p. 89
References	p. 93
Logic Issues of DSM-Based Processes	p. 97
Presenting Process Logic in DSM	p. 97
DSM Limitations	p. 98
Process Verification Issues	p. 99
Classification of DSM-Based Simulations	p. 102
Logic Comparison of DSM-Based Simulations	p. 103
References	p. 109
The Integrated Model Dynamic New-Product Development Process
Dynamic New-Product Design Process	p. 113
Model Description	p. 113
Closed-Loop Process Framework	p. 114
Decision-Making View	p. 115
Meta-Process Description	p. 116
From Product Knowledge to Planned Process Scheme	p. 118
Building and Modeling an Evolving Process	p. 120
References	p. 121
From DSM to DSM Net	p. 123
Introduction: DSM Translation Concepts	p. 123
DnPDP Correctness Criteria	p. 123
Translating an Ordered DSM into a Process Scheme	p. 124
Formal Definition of DSM Conversion to a Process Scheme	p. 125
DSM Definitions and Properties	p. 126
Converting DSM to Design Process Matrix	p. 136
The DSM Net	p. 138
Conversion Process and Logic Activities	p. 145
WRI-WF-Nets Competencies and Limitations	p. 148
References	p. 151
Interpretation Using Implementation Rules and Business Rules	p. 153
Single Design Activity	p. 153
Parallel Independent Activities	p. 154
Serial Activities	p. 156
Serial Activities with Parallel Execution	p. 157
Coupled Activities	p. 159
Business Rules Map	p. 161
Business Rules Logic Examples	p. 162
Self-Iterations	p. 162
Run Time Cases Enumeration	p. 163
Run Time (RT) with Self-Iterations	p. 164
Logic Verification Issues	p. 166
References	p. 168
Dynamic Changes	p. 169
Dynamic Change Levels	p. 169
Scheme Change Types	p. 170
Process Status Considerations	p. 172
Dynamic Scheme Changes May Cause Iterations	p. 173
Design Block Changes	p. 174
Change of Process Scheme by Business Rules	p. 175
Simulating a Dynamic Scheme Process	p. 176
Simulation-Based Statistics for Decision-Making	p. 176
Probabilities Interpretation at Run Time	p. 176
Business Rules Combinations at Run Time	p. 177
Applying Design Blocks at Run Time	p. 179
Logic Implementation	p. 183
Implementation of Design Block Changes	p. 184
References	p. 184
Implementation Example	p. 187
The Value of Simulations for Model Verification	p. 187
Study Cases	p. 188
Formal Verification	p. 189
Logic Verification	p. 189
Simulation	p. 190
The Example Product	p. 190
Development Process Setting	p. 191
Following High-Level Process to Conceptual Design	p. 193
Conceptual Design Process Planning	p. 194
Conceptual Design Planning: Implementation	p. 195
Conceptual Design Planning: Logic Considerations	p. 199
Simulation Results	p. 200
Planning the Detailed Design Stage	p. 202
DSM Data Collection	p. 202
DSM Reordering	p. 205
Probability DSM of Design Blocks	p. 207
DSM Conversion to Process Scheme	p. 208
RT-Process Using Design Blocks	p. 208
Business Rules Modifications	p. 211
Additional DSM Implementation Options	p. 212
Learning	p. 213
Simulation Continues	p. 214
Dynamic Design Block Changes	p. 215
Change of Design Blocks at Run Time	p. 217
Process Reaction Types to a Change of Design Block Content	p. 219
The Logic of Changing the Design Blocks:Internal Change	p. 220
The Value of Early Knowledge	p. 221
Change of Knowledge Without Change of Process Scheme	p. 223
Example Outline	p. 225
References	p. 226
Summary	p. 227
Overview	p. 227
DnPDP Framework	p. 228
Contribution to DSM Concepts	p. 228
artitioning and Optimized Sequencing Algorithms	p. 230
DSM Conversion to Process	p. 230
Future Development	p. 231
DSM-Related Issues	p. 231
Converting DSM-Based Plan to a Process Model	p. 232
Process Scheme Verification	p. 232
Estimating Simulation Parameters	p. 232
Resources Scheduling	p. 233
Models Comparison	p. 233
Decision-Making	p. 233
Practical Implementation	p. 234
Commercial Implementation in PLM	p. 234
Epilogue	p. 235
References	p. 235
Annexes	p. 237
Annex A: pi-Calculus Comparison to Petri Net	p. 237
Annex B: Statistics of Stochastic Simulated Process	p. 242
Annex C: Parametric Study of Function F(q, N)	p. 245
Annex D: DSM Optimization Without Clustering	p. 246
Annex E: Proofs Linkages	p. 249
Annex F: Probabilities of Parallel Paths	p. 249
References	p. 249
Commercial Web Sites	p. 251
Index	p. 253
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