Titlebook: Introduction to Supply Chain Analytics; With Examples in Any Dmitry Ivanov Textbook 2024 The Editor(s) (if applicable) and The Author(s), u

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FEAS

Analytics and Model-Based Decision-Making Support,definitions of supply chain management, data, models, systems, and data-driven, model-based decision-making support. Subsequently, classifications of supply chain analytics methods are presented explaining principles of optimization, simulation, and artificial intelligence. A special focus is direct

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Bravura

Discrete Event Simulation of Manufacturing Processes and Inventory Control, theory to understand the methodology of building discrete event-based process simulation models. Subsequently, AnyLogic software is introduced. We explain through illustrative case studies how to build simulation models and provide instructions for the development of process and inventory control p

CHANT

愚笨

Supply Chain Risk and Resilience Analytics,rst, we learn the major terminology, principles, and methods of supply chain resilience analytics. Subsequently, we consider a case study for supply chain resilience analysis using anyLogistix software. We conclude the chapter with an introduction to digital supply chain twins using the example of a

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碳水化合物

Dmitry Ivanovional specialists address some 330 topics, including over 25.Few subjects have caught the attention of the entire world as much as those dealing with natural hazards. The first decade of this new millennium provides a litany of tragic examples of various hazards that turned into disasters affecting

FLAX

instill

Dmitry Ivanovional specialists address some 330 topics, including over 25.Few subjects have caught the attention of the entire world as much as those dealing with natural hazards. The first decade of this new millennium provides a litany of tragic examples of various hazards that turned into disasters affecting