Buch, Englisch, 340 Seiten, Format (B × H): 155 mm x 235 mm
Principles, Problems and Practice
Buch, Englisch, 340 Seiten, Format (B × H): 155 mm x 235 mm
ISBN: 978-3-031-72254-7
Verlag: Springer
To guide the reader through the learning and application of this framework, several cases are included in the book to illustrate the typical operations management problems faced by businesses. These cases are based on experiences in business domains such as retail, healthcare, transportation and logistics operations, and banking, and they are related to demand forecasting, inventory management, distribution management, capacity planning, resource allocation, workforce scheduling, and service system management. For each case, a complete mapping of the case into the Data and Decision Analytics Framework was done to explain how the framework was applied to derive the data insights from data analytics, to define the business objectives, make the necessary assumptions, and then develop the solution to the business problem.
This book aims at senior-year undergraduate or graduate students studying industrial engineering, business management with a focus on operations, or data science. They will learn how to use data analytics to first analyze problems to identify the root cause of problems, before developing the solutions supported by decision analytics.
Autoren/Hrsg.
Fachgebiete
- Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsmathematik und -statistik
- Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
- Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken
- Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
Weitere Infos & Material
1. Introduction.- 2. Demand Forecasting.- 3. Inventory Management.- 4. Distribution Management.- 5. Capacity Planning.- 6. Optimization Theory.- 7. Special Optimization Problems.- 8. Workforce Planning And Scheduling.- 9. Heuristic Algorithms.- 10. Queuing Theory.- 11. Simulation.