Modelling and Management of Engineering Processes
β Scribed by C.M. Eckert, M.K. Stacey (auth.), Peter Heisig, P. John Clarkson, Sandor Vajna (eds.)
- Publisher
- Springer-Verlag London
- Year
- 2010
- Tongue
- English
- Leaves
- 220
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This first book on Modelling and Management of Engineering Processes (MMEP) presents leading national and international research in the fields of engineering design, process modelling in engineering design and product development, and innovation management selected for the first international conference MMEP 2010.
Innovative processes for design of products and services are more and more considered as an organisational capability which is recognised as increasingly important for business success in todayβs competitive environment. However, academia and management need to gain a more profound understanding of these processes and and develop better management approaches to exploit such business potential.
This book showcases the current research in this field and is structured into four parts from theory towards organisational practice:
β’ Engineering Process Management in Theory
β’ Managing Complex Engineering Processes
β’ Managing Product and Process Information
β’ Engineering Process Management in Practice
This book was triggered by a series of industry workshops with representatives from leading companies from within the manufacturing, service and healthcare sectors from Germany, Sweden and the UK in order to identify future research needs. It hopefully marks the starting point for further research and discussion within the Special Interest Group MMEP of the Design Society.
β¦ Table of Contents
Front Matter....Pages i-xii
Front Matter....Pages 1-1
What is a Process Model? Reflections on the Epistemology of Design Process Models....Pages 3-14
Uniqueness and the Multiple Fractal Character of Product Engineering Processes....Pages 15-26
Approaches for Process Attendant Property Validation of Products....Pages 27-38
Front Matter....Pages 39-39
An Approach Towards Planning Development Processes According to the Design Situation....Pages 41-52
Process Model Based Methodology for Impact Analysis of New Design Methods....Pages 53-64
Design Process Planning by Management of Milestones and Options with a Design Attainment Model....Pages 65-76
The Effect of Uncertainty on Span Time and Effort Within a Complex Design Process....Pages 77-88
Evaluating the Positive and Negative Impact of Iteration in Engineering Processes....Pages 89-100
Front Matter....Pages 101-101
An Operational Perspective for Capturing the Engineering Design Process....Pages 103-114
Sparse Data Estimation in Complex Design Processes....Pages 115-126
Deriving Event Graphs through Process Mining for Runtime Change Management....Pages 127-138
Assessment of Design Tools for Knowledge Capture and Re-use....Pages 139-150
Front Matter....Pages 151-151
Modelling the Quality of Engineering Designs....Pages 153-164
Continuous Improvement of Mechatronic Product Development Processes....Pages 165-176
Interactive Visualisation of Development Processes in Mechatronic Engineering....Pages 177-188
Management of a Design System in a Collaborative Design Environment Using PEGASE....Pages 189-200
Towards a Robust Process for Integrating Innovations into Vehicle Projects....Pages 201-212
Back Matter....Pages 213-213
β¦ Subjects
Engineering Economics, Organization, Logistics, Marketing; Business/Management Science, general; Models and Principles; Engineering Design
π SIMILAR VOLUMES
This book describes the use of models in process engineering. Process engineering is all about manufacturing--of just about anything! To manage processing and manufacturing systematically, the engineer has to bring together many different techniques and analyses of the interaction between various as
<p><p>The increasing demands for internal combustion engines with regard to fuel consumption, emissions and driveability lead to more actuators, sensors and complex control functions. A systematic implementation of the electronic control systems requires mathematical models from basic design through
<p><p>The increasing demands for internal combustion engines with regard to fuel consumption, emissions and driveability lead to more actuators, sensors and complex control functions. A systematic implementation of the electronic control systems requires mathematical models from basic design through
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