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Supply Chain Planning Quantitative Decision Support and Advanced Planning Solutions /
Today supply chain management (SCM) is recognized as a powerful competitive weapon. This book addresses decision making activities in SCM at the strategic, tactical and operational decision level. It presents recent research results on collaborative planning in supply chains, demand and inventory ma...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Decision making in supply chains
- A framework for collaborative planning and state-of-the-art
- Simulation and optimization of supply chains: alternative or complementary approaches?
- Demand Management
- Revenue management and demand fulfillment: matching applications, models and software
- Active demand management for substitute products through price optimisation
- Customer segmentation, allocation planning and order promising in make-to-stock production
- Managing product availability in an assemble-to-order supply chain with multiple customer segments
- Inventory reservation and real-time order promising in a Make-to-Stock system
- Inventory Management
- Setting safety stocks in multi-stage inventory systems under rolling horizon mathematical programming models
- Supplier managed inventory in the OEM supply chain: the impact of relationship types on total costs and cost distribution
- Vendor-managed inventory and the effect of channel power
- Applications in the chemical industry
- Value chain management for commodities: A case study from the chemical industry
- MILP-based campaign scheduling in a specialty chemicals plant: a case study
- Applications in the automotive industry
- Supply chain planning in the German automotive industry
- Modeling and optimazing of strategic and tactical production planning in the automotive industry under uncertainty.