- ホーム
- > 洋書
- > 英文書
- > Science / Mathematics
Full Description
Engineering analytics is becoming a necessary skill for every engineer. Areas such as Operations Research, Simulation, and Machine Learning can be totally transformed through massive volumes of data. This book is intended to be an introduction to Engineering Analytics that can be used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics control towers.
Basic methods in the areas of visual, descriptive, predictive, and prescriptive analytics and Big Data are introduced. Industrial case studies and example problem demonstrations are used throughout the book to reinforce the concepts and applications. The book goes on to cover visual analytics and its relationships, simulation from the respective dimensions and Machine Learning and Artificial Intelligence from different paradigms viewpoints.
The book is intended for professionals wanting to work on analytical problems, for Engineering students, Researchers, Chief-Technology Officers, and Directors that work within the areas and fields of Industrial Engineering, Computer Science, Statistics, Electrical Engineering Operations Research, and Big Data.
Contents
1. Interactive Visualization to Support Data and Analytics-driven Supply Chain Design Decisions. 2. Resilence-based Analysis of Road Closures in Colombia: An Unsupervised Learning Approach. 3. Characterization of Freight Transportation in Colombia Using the National Registry of Cargo Dispatches (RNDC). 4. Data and Its Implications in Engineering Analytics. 5. Assessing the Potential of Implementing Blockchain in Supply Chains Using Agent-based Simulation and Deep Learning. 6. Market Behavior Analysis and Product Demand Prediction Using Hybrid Simulation Modeling. 7. Beyond the Seaport. 8. Challenges and Approaches of Data Transformation. 9. An Agent-based Methodology for Seaport Decision Making. 10. Simulation and Reinforcement Learning Framework to Find Scheduling Policies in Manufacturing. 11. An Advanced Analytical Proposal for Sales and Operations Planning. 12. Deep Neural Networks Applied in Autonomous Vehicle Software Architecture. 13. Optimizing Supply Chain Networks for Specialty Coffee. 14. Spatial Analysis of Fresh Food Retailers in Sabana Centro, Colombia. 15. Analysis of Internet of Things Implementations Using Agent-based Modeling.
