This book enables those working in modeling and simulation, to look at best practices from various disciplines, so that project leaders, managers, and engineers, can apply the non-technical and technical best practices to their work.
This book enables those working in modeling and simulation, to look at best practices from various disciplines, so that project leaders, managers, and engineers, can apply the non-technical and technical best practices to their work.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Guillaume Dubois works at McKinsey & Company and serves clients in various types of industries. Guillaume graduated as an engineer from École Centrale Paris, France. He started his career at Pratt & Whitney Canada, developing thermal models for airplane engines and at Enertime, developing financial models for biomass plants. He then joined PSA Peugeot Citroën, where he created and grow new modeling activities, teams and processes across R&D departments to improve energy efficiency of cars. He progressively held the different roles discussed in this book: modeling engineer - developing models, team manager - managing these engineers, project manager - being client of these teams. Guillaume authored La simulation numérique: Enjeux et bonnes pratiques pour l'industrie (Numerical simulation: Challenges and best practices for industry), published by Dunod, Malakoff, France, in 2016. Modeling and Simulation: Challenges and Best Practices for Industry is the English version.
Inhaltsangabe
Introduction. What is Numerical Simulation? A Bit of History. Numerical Simulation in Industry, why? Efficient Use of Numerical Simulation, Technical Aspects. Efficient Use of Numerical Simulation, Organizational Aspects. The Future of Numerical Simulation in Industry: The Early XXIst Century. Conclusion.
Introduction. What is Numerical Simulation? A Bit of History. Numerical Simulation in Industry, why? Efficient Use of Numerical Simulation, Technical Aspects. Efficient Use of Numerical Simulation, Organizational Aspects. The Future of Numerical Simulation in Industry: The Early XXIst Century. Conclusion.
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