Overview

Modeling, in the past 60 years, has been constantly evolving and has revolutionized the industrial sector. Its continuous development will still have profound impact in the upcoming future. For big or small companies, modeling is a tool which brings technical improvement and profitability. What is modeling? What are the benefits and limits? What are the best practices, technical and non-technical, to apply? The objective of this book is to bring answers to these questions in a synthetic and transversal manner, so that engineers, managers and directors can see future challenges not as a threat, but as an opportunity. Features: Transversal and synthetic view on modeling, written in a clear and pragmatic way Technical best practices to build/ develop a model Non-technical best practices to efficiently deploy modeling in companies All best practices discussed in the book have been truly already implemented in past situations Theory is illustrated in a case study from the beginning to the end of the book

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9780815374893

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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.

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