Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 585 g
Reihe: Mathematical Engineering, Manufacturing, and Management Sciences
Novel Theories, Technologies, and Applications
Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 585 g
Reihe: Mathematical Engineering, Manufacturing, and Management Sciences
ISBN: 978-0-367-77664-0
Verlag: CRC Press
Features
- Offers solutions to multi-objective transportation problem under cost reliability using utility function
- Presents optimization techniques to support eco-efficiency assessment in manufacturing processes
- Covers distance-based function approach for optimal design of engineering processes with multiple quality characteristics
- Provides discrete time sliding mode control for non-linear networked control systems
- Discusses second law of thermodynamics as instruments for optimizing fluid dynamic systems and aerodynamic systems
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Industrial Engineering
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
- Technische Wissenschaften Technik Allgemein Technik: Allgemeines
- Mathematik | Informatik Mathematik Operations Research
Weitere Infos & Material
Introduction to Mathematical Techniques in Engineering. Performance Evaluation of Complex Engineering System. Modeling and Simulation in Engineering Sciences. Case Study 1. Case Study 2. Case Study 3. Case Study 4. Applications of Astrophysics. Finite Element Methods in Engineering. Applied Mathematical Problems and Methods in Research and Education. Differential Equations and its Applications. Fluid Dynamics and its Applications in Engineering. Inventory Problems, Probability and Statistics Applications. Mathematical Modeling in Environmental and Bio Sciences. Mathematical Modelling and Simulation. Operations Research. Optimization Techniques. Recent Mathematical Tools and Techniques in Engineering and Technology. Reliability and Availability Assessment of Multi-State Systems. Reliability Modeling and Testing for Complex Systems. Risk and Supply Chain Management. Soft Computing, Genetic Algorithm, Neural Network, and Fuzzy Logic Applications. Stochastic Process and System Engineering.