Modelling and Management of Engineering Processes

1. Front Matter

   Pages i-xii

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2. Engineering Process Management in Theory

   1. Front Matter

      Pages 1-1

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   2. What is a Process Model? Reflections on the Epistemology of Design Process Models

      • C.M. Eckert, M.K. Stacey

      Pages 3-14

   3. Uniqueness and the Multiple Fractal Character of Product Engineering Processes

      • A. Albers, A. Braun, S. Muschik

      Pages 15-26

   4. Approaches for Process Attendant Property Validation of Products

      • K. Paetzold, J. Reitmeier

      Pages 27-38

3. Managing Complex Engineering Processes

   1. Front Matter

      Pages 39-39

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   2. An Approach Towards Planning Development Processes According to the Design Situation

      • J.M.K. Roelofsen, U. Lindemann

      Pages 41-52

   3. Process Model Based Methodology for Impact Analysis of New Design Methods

      • R. Koppe, S. Häusler, F. Poppen, A. Hahn

      Pages 53-64

   4. Design Process Planning by Management of Milestones and Options with a Design Attainment Model

      • Y. Nomaguchi, T. Yamamoto, K. Fujita

      Pages 65-76

   5. The Effect of Uncertainty on Span Time and Effort Within a Complex Design Process

      • S. Suss, K. Grebici, V. Thomson

      Pages 77-88

   6. Evaluating the Positive and Negative Impact of Iteration in Engineering Processes

      • H.N. Le, D.C. Wynn, P.J. Clarkson

      Pages 89-100

4. Managing Product and Process Information

   1. Front Matter

      Pages 101-101

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   2. An Operational Perspective for Capturing the Engineering Design Process

      • S.M. Gonnet, M.L. Roldán, H. Leone, G. Henning

      Pages 103-114

   3. Sparse Data Estimation in Complex Design Processes

      • K. Lari, O. Hisarciklilar, K. Grebici, V. Thomson

      Pages 115-126

   4. Deriving Event Graphs through Process Mining for Runtime Change Management

      • H. Zhang, Y. Liu, C. Li, R. Jiao

      Pages 127-138

   5. Assessment of Design Tools for Knowledge Capture and Re-use

      • A.V. Gokula Vijaykumar, A. Chakrabarti

      Pages 139-150

5. Engineering Process Management in Practice

   1. Front Matter

      Pages 151-151

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   2. Modelling the Quality of Engineering Designs

      • W.P. Kerley, P.J. Clarkson

      Pages 153-164

   3. Continuous Improvement of Mechatronic Product Development Processes

      • R. Woll, C. Kind, R. Stark

      Pages 165-176

   4. Interactive Visualisation of Development Processes in Mechatronic Engineering

      • S. Kahl, J. Gausemeier, R. Dumitrescu

      Pages 177-188

Modelling for Business Improvement contains the proceedings of the First International Conference on Process Modelling and Process Management (MMEP 2010) held in Cambridge, England, in March 2010. It contains contributions from an international group of leading researchers in the fields of process modelling and process management. This conference will showcase recent trends in the modelling and management of engineering processes, explore potential synergies between different modelling approaches, gather and discuss future challenges for the management of engineering processes and discuss future research areas and topics. Modelling for Business Improvement is divided into three main parts: 1. Theoretical foundation of modelling and management of engineering processes, and achievements in theory. 2. Experiences from management practice using various modelling methods and tools, and their future challenges. 3. New perspectives on modelling methods, techniques and tools.

• Engineering Processes
• MMEP 2010
• Process Improvement
• Process Management
• Process Modelling
• design methods
• design process
• engineering design
• modeling
• product development
• Engineering Economics

• Cambridge Engineering Design Centre, Department of Engineering, University of Cambridge, Cambridge, UK

  Peter Heisig, P. John Clarkson

• Faculty of Mechanical Engineering, Otto-von-Guericke University Magdeburg, Magdeburg, Germany

  Sandor Vajna

John Clarkson is Professor of Engineering Design and Director of the Cambridge Engineering Design Centre at the University of Cambridge, UK. After receiving a PhD in Engineering (Electrical Machines) from the university, he spent seven years as Manager of the Advanced Process Group for PA Consulting Group's Technology Division. His current research interests are in engineering design, particularly the development of design methodologies to address specific design issues.

Peter Heisig is a senior research associate in the Cambridge Engineering Design Centre at the University of Cambridge, UK. He has previously worked for the Fraunhofer Institute for Production Systems and Design Technology, and in 2005 he founded eureki (European Research Center for Knowledge and Innovation) - a network of experts to help organisations improve the usage and creation of knowledge for innovation.

Sandor Vajna is Professor and Chair of Information Technologies in Mechanical Engineering at the Otto-von-Guericke University in Magdeburg, Germany. His research areas include integrated product development; engineering process models; product modelling by feature technology and parametrics; product optimisation using evolutionary methods; engineering systems integration; CAD/CAM systems application and migration; and calculation methods and tools of the economic viability of new technologies.

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