Supply Chain Intelligence Application and Optimization / [electronic resource] :
edited by Kaushik Kumar, J. Paulo Davim.
- 1st ed. 2020.
- XIV, 174 p. 40 illus., 24 illus. in color. online resource.
- Management and Industrial Engineering, 2365-0540 .
- Management and Industrial Engineering, .
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.
9783030464257
10.1007/978-3-030-46425-7 doi
Industrial engineering.
Production engineering.
Management.
Business logistics.
Industrial and Production Engineering.
Management.
Logistics.
T55.4-60.8
670
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.
9783030464257
10.1007/978-3-030-46425-7 doi
Industrial engineering.
Production engineering.
Management.
Business logistics.
Industrial and Production Engineering.
Management.
Logistics.
T55.4-60.8
670