Supply Chain Analytics by I351305k Bier
This textbook offers a detailed account of analytical models used to solve complex supply chain problems. This framework illustrates the complete supply chain for a product and demonstrates the supply chain's exposure to demand, supply, inventory, and financial risks.-
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Isik Bicer is an Assistant Professor of Operations Management and Information Systems at the Schulich School of Business, York University, Canada. His research focuses on supply chain analytics and supply chain finance. He uses methods from quantitative finance, optimization theory, statistics, and stochastic modeling to develop supply chain models that aim to reduce the mismatches between supply and demand. His research appeared in the top operations management journals, such as Production and Operations Management and Journal of Operations Management, and some practitioner outlets such as Harvard Business Review, California Management Review, and Forbes. The analytical tools developed as the outcome of his research have been implemented in companies in the pharmaceutical, automotive, and agriculture industries.
| SKU | Unavailable |
| ISBN 13 | 9783031303463 |
| ISBN 10 | 3031303466 |
| Title | Supply Chain Analytics |
| Author | I351305k Bier |
| Series | Springer Texts In Business And Economics |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Springer International Publishing AG |
| Year published | 2023-06-28 |
| Number of pages | 314 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |