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Data and Decision Analytics for Business Operations Principles Problems and Practice 1st Edition by Michelle Cheong, Ma Nang Laik 9783031722554 3031722558

  • SKU: BELL-217081764
Data and Decision Analytics for Business Operations Principles Problems and Practice 1st Edition by Michelle Cheong, Ma Nang Laik 9783031722554 3031722558
$ 31.00 $ 45.00 (-31%)

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Data and Decision Analytics for Business Operations Principles Problems and Practice 1st Edition by Michelle Cheong, Ma Nang Laik 9783031722554 3031722558 instant download after payment.

Publisher: Springer Nature
File Extension: PDF
File size: 21.65 MB
Pages: 960
Author: Michelle L. F. Cheong, Ma Nang Laik
ISBN: 9783031722554, 3031722558
Language: English
Year: 2024
Edition: 2

Product desciption

Data and Decision Analytics for Business Operations Principles Problems and Practice 1st Edition by Michelle Cheong, Ma Nang Laik 9783031722554 3031722558 by Michelle L. F. Cheong, Ma Nang Laik 9783031722554, 3031722558 instant download after payment.

Data and Decision Analytics for Business Operations Principles Problems and Practice 1st Edition by Michelle Cheong, Ma Nang Laik - Ebook PDF Instant Download/Delivery: 9783031722554 3031722558

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Product details:

ISBN 10: 3031722558

ISBN 13: 9783031722554 

Author: Michelle L. F. Cheong; Ma Nang Laik

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.

Table of contents:

  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

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Tags: Michelle Cheong, Ma Nang Laik, Decision, Business

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