Engineering Analytics (ePub)
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.
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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.
Edgar Gutierrez-Franco, is a Postdoctoral Associate at the Massachusetts Institute of Technology, MIT Center for Transportation and Logistics, CTL. He also serves since 2009 as a Research Affiliate at the Center for Latin America Logistics Innovation part of the MIT Global SCALE network and is Fulbright Scholar since 2014. Dr. Edgar has over twelve years of experience in data-driven decision-making software solutions to support business operations. His specialties are in Supply Chain Management, Applied Optimization and Machine Learning. He has experience in the consultancy, retail, and beverage industry and in academia in projects and training activities related with Operations Research and Supply Chain Management. His educational background includes a B.S. in Industrial Engineering from the University of La Sabana (2004), an MSc. in Industrial Engineering (Operations Research and Statistics) from the University of Los Andes (2008), and a Ph.D. in Industrial Engineering and Management Systems
Alfonso Sarmiento is an Associate Professor at the Program of Industrial Engineering, University of La Sabana, Colombia. He received his bachelor degree in Industrial Engineering from the University of Lima, Perú. He earned a M.S. degree from the Department of Industrial and Systems Engineering at the University of Florida. He obtained his PhD in Industrial Engineering with emphasis in Simulation Modeling from the University of Central Florida. Prior to working in the academia, Dr. Sarmiento had more than 10 years' experience as a consultant in operations process improvement. His current research focuses on supply chain stabilization methods, hybrid simulation and reinforcement learning.
Christopher Mejía-Argueta is a Research Scientist at the MIT Center for Transportation and Logistics. He is director and founder of the MIT Food and Retail Operations Lab (FaROL) where he develops applied research to improve the performance of supply chains. He is also director of the MIT SCALE network for Latin America and the Caribbean, as well as the MIT GCLOG program. He has more than 13 years of experience, he has solved logistical problems for more than 15 countries on four different continents. He is the editor and author of four books on supply chain management for emerging markets and has published dozens of industrial projects. He holds a PhD and a MSc from Monterrey Tech (Mex).
- 2021, 1. Auflage, 282 Seiten, Englisch
- Herausgegeben: Luis Rabelo, Edgar Gutierrez-Franco, Alfonso Sarmiento, Christopher Mejía-Argueta
- Verlag: Taylor & Francis
- ISBN-10: 1000453766
- ISBN-13: 9781000453768
- Erscheinungsdatum: 26.09.2021
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- Dateiformat: ePub
- Größe: 19 MB
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