A Process Taxonomy Model for Engineering Design Research -- Value System in Product Development -- Case Study on Requirements Management in Multidisciplinary Product Development -- A Model Based Approach to Support Risk Management in Innovation Projects -- Estimation of Risk Increase caused by Parallelisation in Product Development Processes -- Emerging Telemedicine Analysis of Future Teledermatology Application in France -- Evaluation of Collaborative Tools Along Design Process Using a Quantitative Rating of CAD Models Modification -- Scrum in the Traditional Development Organization: Adapting to the Legacy -- Integration of Systemic Constellation Work in Business -- Process Indicators for Process Engineering (PIPE) -- Comparison of seven company-specific Engineering Change Processes -- Consideration of Uncertainties in the Product-Oriented Development Process -- Modelling Technique for Knowledge Management -- Alliance Management Process Design with Failure Mode and Effect Analysis -- An Approach to Integrate Data Mining into the Development Process -- Optimal Scheduling of Stochastic Production Processes Through Model Checking: An Example from the Baked Goods Industry.

Innovative processes for the development of products and services are more and more considered as an organisational capability, which is recognised to be increasingly important for business success in today's competitive environment. However, management and academia need a more profound understanding of these processes in order to develop improved management approaches to exploit business potentials. This book contains the proceedings of the 3rd International Conference on Modelling and Management of Engineering Processes (MMEP2013) held in Magdeburg, Germany, in November 2013. It includes contributions from international leading researchers in the fields of process modelling and process management. The conference topics were recent trends in modelling and management of engineering processes, potential synergies between different modelling approaches, future challenges for the management of engineering processes as well as future research in these areas.