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Smarter Decisions - The Intersection of Internet of Things and Decision Science

You're reading from   Smarter Decisions - The Intersection of Internet of Things and Decision Science A comprehensive guide for solving IoT business problems using decision science

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781785884191
Length 392 pages
Edition 1st Edition
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Author (1):
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Jojo Moolayil Jojo Moolayil
Author Profile Icon Jojo Moolayil
Jojo Moolayil
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Table of Contents (10) Chapters Close

Preface 1. IoT and Decision Science FREE CHAPTER 2. Studying the IoT Problem Universe and Designing a Use Case 3. The What and Why - Using Exploratory Decision Science for IoT 4. Experimenting Predictive Analytics for IoT 5. Enhancing Predictive Analytics with Machine Learning for IoT 6. Fast track Decision Science with IoT 7. Prescriptive Science and Decision Making 8. Disruptions in IoT 9. A Promising Future with IoT

Defining the business use case

So far, we have explored what kind of problems arise in a typical IoT scenario and how they can be classified into Connected Operations and Connected Assets. Let's now focus on designing and solving a practical business use case for IoT. We will explore how we can solve problems using the interdisciplinary approach of decision science in IoT.

We'll start with a simple problem in the manufacturing industry. Assume that there is a large multinational consumer goods company, say, Procter & Gamble, who owns a plethora of products. Consider their detergent product, Tide, to study our example. Tide is a detergent powder that comes in liquid form as well, has a variety of scents, different cleanliness levels, and so on. Assume that the company owns a plant in which one production line (the assembly line in which the goods are manufactured end to end) manufactures detergent powder. It manufactures 500 Kgs of detergent powder in a single go. The operations...

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