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Supply Chain Intelligence [electronic resource] : Application and Optimization / edited by Kaushik Kumar, J. Paulo Davim.

Contributor(s): Kumar, Kaushik [editor.] | Davim, J. Paulo [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Management and Industrial Engineering: Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: XIV, 174 p. 40 illus., 24 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030464257.Subject(s): Industrial engineering | Production engineering | Management | Business logistics | Industrial and Production Engineering | Management | LogisticsAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 670 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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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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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