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Stochastic Programming in Supply Chain Risk Management

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Stochastic Programming in Supply Chain Risk Management Tadeusz Sawik
Koda Libristo: 49425106
Založba Springer, junij 2025
This book offers a novel multi-portfolio approach and stochastic programming formulations for modeli... Celoten opis
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This book offers a novel multi-portfolio approach and stochastic programming formulations for modeling and solving contemporary supply chain risk management problems. The focus of the book is on supply chain resilience under propagated disruptions, supply chain viability under severe crises, and supply chain cybersecurity under direct and indirect cyber risks. The content is illustrated with numerous computational examples, some of which are modeled on real-world supply chains subject to severe multi-regional or global crises, such as pandemics. In the computational examples, the proposed stochastic programming models are solved using an advanced algebraic modeling language AMPL and GUROBI solver. 

 
The book seamlessly continues the journey begun in the author's previously published book "Supply Chain Disruption Management: Using Stochastic Mixed Integer Programming." It equips readers with the knowledge, tools, and managerial insights needed to effectively model and address modern supply chain risk management challenges. As such, the book is designed for practitioners and researchers who are interested in supply chain risk management. Master's and Ph.D. students in disciplines like supply chain management, operations research, industrial engineering, applied mathematics, and computer science will also find the book a valuable resource.

 

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O knjigi

Polni naslov Stochastic Programming in Supply Chain Risk Management
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2025
Število strani 380
EAN 9783031579295
ISBN 3031579291
Koda Libristo 49425106
Založba Springer
Teža 575
Mere 155 x 235 x 21
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