The Elements of Joint Learning and Optimization in Operations Management
-
- £72.99
-
- £72.99
Publisher Description
This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data.
GENRE
Business & Personal Finance
RELEASED
2022
20 September
LANGUAGE
EN
English
LENGTH
457
Pages
PUBLISHER
Springer International Publishing
SIZE
17.8
MB
More Books Like This
Computational Methods in Financial Engineering
2008
Machine Learning for Factor Investing: R Version
2020
Macroeconomic Forecasting in the Era of Big Data
2019
Handbook of Econometrics
2020
Uncertainty Management in Simulation-Optimization of Complex Systems
2015
Machine Learning and AI in Finance
2021
More Books by Xi Chen, Stefanus Jasin & Cong Shi
Tensor Network Contractions
2020
Beyond AI
2023
Proceedings of the 2023 3rd International Conference on Enterprise Management and Economic Development (ICEMED 2023)
2023
Five-Layer Intelligence of the Machine Brain
2022
A Study of Criminal Proceeding Conventions in Tang Dynasty
2022
Tourism in the Kyrgyz Republic
2021