Supply Chain Intelligence : Application and Optimization / / edited by Kaushik Kumar, J Paulo Davim
Contributor(s): Kumar, Kaushik, editor | Davim, J. Paulo, editor | SpringerLink (Online service)
Material type:
E-bookSeries: (Management and Industrial Engineering, 2365-0532); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: First edition.Description: 1 recurso en línea (XIV, 174 páginas) : 40 ilustraciones, 24 ilustraciones a color.ISBN: 9783030464257.Subject: Logística empresarial -- Proceso de datos
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias Sociales | HD38.5 2020 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.24062097 |
Strategic Sourcing Decisions -- Supply Chain Modeling -- Inventory Modeling and Inventory Control Applications -- Production Planning and Control -- Cold Chain and its Application -- Block Chain and its Application -- Logistics Modeling -- Big Data and its Application to Supply Chain -- Evolutionary Optimization on Supply Chain -- Genetic Algorithm Optimization in Supply Chain -- Hybrid Optimization for Supply Chain.
The book provides an introduction to logistics and supply chain management and the application of evolutionary computation, focusing on specific fields related to supply chain issues, from strategic sourcing decisions, and production planning and control to inventory to logistics and its application using evolutionary / heuristics techniques. Bridging the gap between management research, decision-making and computer analysis, this interdisciplinary book features state-of-the-art descriptions of the corresponding problems and advanced methods for solving them.
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