
Predictive Analytics
Modeling and Optimization
- 282 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine learning, and artificial intelligence. This book provides the most recent advances in the field along with case studies and real-world examples.
It discusses predictive modeling and analytics in reliability engineering and introduces current achievements and applications of artificial intelligence, data mining, and other techniques in supply chain management. It covers applications to reliability engineering practice, presents numerous examples to illustrate the theoretical results, and considers and analyses case studies and real-word examples.
The book is written for researchers and practitioners in the field of system reliability, quality, supply chain management, and logistics management. Students taking courses in these areas will also find this book of interest.
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Information
1Role of MCDM in Software Reliability Engineering
Kolkata, India
Kolkata, India
Uttar Pradesh, Noida, India
1.1Introduction
Table of contents
- Cover
- Half Title
- Series Page
- Title Page
- Copyright Page
- Table of Contents
- Preface
- Acknowledgements
- List of Contributors
- Editors
- Chapter 1: Role of MCDM in Software Reliability Engineering
- Chapter 2: Fault Tree Analysis of a Computerized Numerical Control Turning Center
- Chapter 3: How to Schedule Elective Patients in Hospitals to Gain Full Utilization of Resources and Eliminate Patient Overcrowding
- Chapter 4: Reducing the Deterioration Rate of Inventory through Preservation Technology Investment under Fuzzy and Cloud Fuzzy Environment
- Chapter 5: Image Formation Using Deep Convolutional Generative Adversarial Networks
- Chapter 6: Optimal Preservation Technology Investment and Price for the Deteriorating Inventory Model with Price-Sensitivity, Stock-Dependent Demand
- Chapter 7: EOQ with Shortages and Learning Effect
- Chapter 8: Optimal Production-Inventory Policies for Processed Fruit Juices Manufacturer and Multi-retailers with Trended Demand and Quality Degradation
- Chapter 9: Information Visualization: Perception and Limitations for Data-Driven Designs
- Chapter 10: IoT, Big Data, and Analytics: Challenges and Opportunities
- Chapter 11: Multiple-Criteria Decision Analysis Using VLSI Global Routing
- Chapter 12: Application of IoT in Water Supply Management
- Chapter 13: A Hybrid Approach for Video Indexing Using Computer Vision and Speech Recognition
- Chapter 14: Statistical Methodology for Software Reliability with Environmental Factors
- Chapter 15: Maintenance Data-Trends Based Reliability Availability and Maintainability (RAM) Assessment of a Steam Boiler
- Index