Buch, Englisch, Band 265, 320 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 522 g
Reihe: International Series in Operations Research & Management Science
Buch, Englisch, Band 265, 320 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 522 g
Reihe: International Series in Operations Research & Management Science
ISBN: 978-3-319-88751-7
Verlag: Springer International Publishing
In the technical section, the book constitutes structural dynamics control methods for supply chain management. Real-life problems are modelled and solved with the help of mathematical programming, discrete-event simulation, optimal control theory, and fuzzy logic.
The book derives practical recommendations for management decision-making with disruption risk in the following areas:
- How to estimate the impact of possible disruptions on performance in the pro-active stage?
- How to generate efficient and effective stabilization and recovery policies?
- When does one failure trigger an adjacent set of failures?
- Which supply chain structures are particular sensitive to ripple effect?
- How to measure the disruption risks in the supply chain?
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
Supply Chain Management and Structural Dynamics Control.- Supply Chain Risk Management: Bullwhip Effect and Ripple Effect.- Supply Chain Resilience: Modelling, Management, and Control.- Principles and methods of model-based decision-making in the supply chain.- OR/MS Methods for Structural Dynamics in Supply Chain Risk Management.- Hybrid multi-objective mathematical optimization – optimal control model for proactive supply chain recovery planning.- Control-Theoretic Models and Algorithms for Supply Chain Scheduling with Capacity Disruption and Recovery Considerations.- Simulation applications to structural dynamics in service and manufacturing supply chain risk management.- Entropy-based supply chain structural complexity analysis.- New drivers for supply chain structural dynamics and resilience: sustainability, Industry 4.0, self-adaptation.