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E-raamat: Modeling and Simulation: Challenges and Best Practices for Industry

(Paris, France)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 22-Mar-2018
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781351241113
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  • Formaat: EPUB+DRM
  • Ilmumisaeg: 22-Mar-2018
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781351241113

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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
About the Author xiii
Introduction xvii
1 What Is Numerical Simulation?
1(8)
1.1 What Is a Model?
1(3)
1.2 What Is a Simulation?
4(1)
1.3 What Are Modeling and Numerical Simulations?
4(2)
1.4 What Is a State Representation?
6(2)
1.5 What Is the Value of Numerical Simulation?
8(1)
2 A Bit of History
9(8)
2.1 Before 1940
9(1)
2.2 From 1940 to 1960: The First Steps of Numerical Simulation
10(1)
2.3 From 1960 to 1980: The Evolution of Numerical Simulation
11(2)
2.4 From 1980 to 1995: The Revolution of Numerical Simulation
13(1)
2.5 From 1995 to 2015: The Spread of Numerical Simulation
14(2)
2.6 Three Lessons from History
16(1)
3 Numerical Simulation in Industry: Why?
17(18)
3.1 Why Expand Simulation?
17(2)
3.1.1 A Predictive Tool
17(1)
3.1.2 ... That Is Profitable
18(1)
3.2 Contributions of Simulation
19(12)
3.2.1 The Modeling Iceberg
19(1)
3.2.2 Eight Levers of Value Creation
19(12)
3.3 Simulation Costs and Limits
31(2)
3.3.1 Costs of Simulation
31(1)
3.3.2 Limits to Simulation
32(1)
3.4 Deciding Whether to Use Simulation or Not
33(2)
4 Efficient Use of Numerical Simulation: Technical Aspects
35(50)
4.1 Different Kinds of Numerical Simulations
35(2)
4.2 Five Steps to Expand Numerical Simulation
37(1)
4.3 Eight Technical Best Practices
38(47)
4.3.1 Best Practice 1: Defining the Objective
40(4)
4.3.2 Best Practice 2: Including Sufficient and Necessary Physical Phenomena
44(6)
4.3.3 Best Practice 3: Converting into Equations and Configuring the Model
50(9)
4.3.4 Best Practice 4: Picking the Software
59(4)
4.3.5 Best Practice 5: Managing the Numerical and IT Issues
63(6)
4.3.6 Best Practice 6: Managing the Validity Level of the Results
69(7)
4.3.7 Best Practice 7: Producing Useful Results
76(3)
4.3.8 Best Practice 8: Maintaining and Storing the Models
79(6)
5 Efficient Use of Numerical Simulation: Organizational Aspects
85(40)
5.1 Stakeholders
85(1)
5.2 Eight Organizational Best Practices
86(39)
5.2.1 Best Practice 1: Leading Change Related to Numerical Simulation
87(4)
5.2.2 Best Practice 2: Defining a Numerical Simulation Expansion Strategy
91(4)
5.2.3 Best Practice 3: Managing Communication for Numerical Simulation
95(4)
5.2.4 Best Practice 4: Provide Any Necessary Means to Numerical Simulation
99(3)
5.2.5 Best Practice 5: Industrializing Numerical Simulation
102(6)
5.2.6 Best Practice 6: Managing the Numerical Simulation--Related Skills
108(4)
5.2.7 Best Practice 7: Managing the Models Expansion
112(8)
5.2.8 Best Practice 8: Managing Configurations of Models and Results
120(5)
6 The Future of Numerical Simulation in Industry: The Early Twenty-First Century
125(14)
6.1 Why Is Predicting the Future Important?
125(1)
6.2 The Next 20 Years
125(13)
6.2.1 Changes from the Past, Still in Progress
126(1)
6.2.2 Changes to Come
126(12)
6.3 And Then?
138(1)
Conclusion 139(2)
Bibliography 141(2)
Index 143
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 lindustrie (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.