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Data and decision analytics for business operations = principles, problems, and practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data and decision analytics for business operations/ by Michelle L. F. Cheong, Ma Nang Laik.
其他題名:	principles, problems, and practice /
作者:	Cheong, Michelle L. F.
其他作者:	Ma Nang Laik.
出版者:	Cham :Springer Nature Switzerland : : 2024.,
面頁冊數:	xviii, 323 p. :ill. (some col.), digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Business logistics. -
電子資源:	https://doi.org/10.1007/978-3-031-72255-4
ISBN:	9783031722554

Data and decision analytics for business operations = principles, problems, and practice /
Cheong, Michelle L. F.

Data and decision analytics for business operationsprinciples, problems, and practice /[electronic resource] :by Michelle L. F. Cheong, Ma Nang Laik. - Cham :Springer Nature Switzerland :2024. - xviii, 323 p. :ill. (some col.), digital ;24 cm.

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.

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.

ISBN: 9783031722554

Standard No.: 10.1007/978-3-031-72255-4doiSubjects--Topical Terms:

648045
Business logistics.

LC Class. No.: HD38.5

Dewey Class. No.: 658.5

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