Modelling and Management of Engineering Processes
Om denne e-bog
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.
Based on the latest achievements in this and related fields, the editors aim to landmark the research map for modelling and management of engineering processes for 2020.
Om forfatteren
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.
