| ISBN: | 9783319588223 |
| Publication date: | 10th July 2017 |
| Author: | Tadeusz Sawik |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 349 pages |
| Series: | International Series in Operations Research & Management Science |
| Genres: |
Operational research Purchasing and supply management Management decision making Production and industrial engineering |
This book deals with stochastic combinatorial optimization problems in supply chain disruption management, with a particular focus on management of disrupted flows in customer-driven supply chains. The problems are modeled using a scenario based stochastic mixed integer programming to address risk-neutral, risk-averse and mean-risk decision-making in the presence of supply chain disruption risks.
Supply Chain Disruption Management Using Stochastic Mixed Integer Programming features in the following genres: Operational research, Purchasing and supply management, Management decision making, Production and industrial engineering
Hardback. Not Available.
Supply Chain Disruption Management Using Stochastic Mixed Integer Programming was written by Tadeusz Sawik and published by Springer an imprint of Springer International Publishing
Supply Chain Disruption Management Using Stochastic Mixed Integer Programming has 349 pages
Yes it is part of International Series in Operations Research & Management Science series