The Elements of Joint Learning and Optimization in Operations Management (1st ed. 2022) (Springer Series in Supply Chain Management #18)
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- Synopsis
- 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.
- Copyright:
- 2022
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9783031019265
- Related ISBNs:
- 9783031019258
- Publisher:
- Springer International Publishing
- Date of Addition:
- 11/27/23
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Science, Computers and Internet, Business and Finance
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Xi Chen
- Edited by:
- Stefanus Jasin
- Edited by:
- Cong Shi
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- by Xi Chen
- by Stefanus Jasin
- by Cong Shi
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