Principles, Problems, and Practice Cheong, Michelle L. F. creator author. aut http://id.loc.gov/vocabulary/relators/aut Ma Nang Laik. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XVIII, 323 p. 186 illus., 59 illus. in color. online resource. In this book, readers will be exposed to the Data and Decision Analytics Framework which helps a business analyst to first identify the root cause of business problems by collecting, preparing, and exploring data to gain business insights, before proposing what objectives and solutions should be developed to solve the problems. 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. 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. by Michelle L. F. Cheong, Ma Nang Laik. Artificial intelligence Data processing Business Data processing Production management Operations research Business information services Information technology Management Data Science Business Analytics Operations Management Operations Research and Decision Theory Business Information Systems Computer Application in Administrative Data Processing Q336 9783031722554 https://doi.org/10.1007/978-3-031-72255-4 https://doi.org/10.1007/978-3-031-72255-4 241228 20251030114646.0 978-3-031-72255-4