Supply Chain Analytics and Modelling
Quantitative Tools and Applications
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Beschreibung
Harness data within the supply chain using this accessible guide on how to examine, evaluate and apply business analytics models.
An incredible volume of data is generated at a very high speed within the supply chain and it is necessary to understand, use and effectively apply the knowledge learned from analyzing data using intelligent business models.
Practitioners and students in the field of supply chain management face a number of challenges when dealing with business models and mathematical modelling. Supply Chain Analytics and Modelling presents a range of business analytics models used within the supply chain to help readers develop knowledge on a variety of topics to overcome common issues.
This new edition of Supply Chain Analytics and Modelling covers new areas including ongoing technological advancements like digital twins, machine learning, AI and the use of model simulation within the supply chain. Learning is supported by case studies of specialist software packages for each example. Readers are also be provided with a critical view on how supply chain management performance measurement systems have been developed and supported by reliable and accurate data available in the supply chain. Online resources include lecturer slides and solved examples.
Provides a detailed explanation of the most frequently used business analytics models in the supply chain, the challenges these present and the impact on different parts of the supply chain
Includes models in all areas of business analytics such as descriptive, predictive and prescriptive analytics, with fully solved examples that can be easily followed and adopted
Presents new research for developing, implementing and evaluating business analytics models within a complex supply chain environment
Highlights the most recent developments in the field of supply chain analytics, which have been driven by new technologies
New to this edition: Discusses new technological advancements and their application within the supply chain including digital twins, machine learning, AI and the use of model simulation within the supply chain
Online resources: Lecture slides and solved examples
Autor*in
Nicoleta Tipi
Nicoleta Tipi is Senior Lecturer in Operations and Supply Chain at the Open University, UK. She was previously Senior Lecturer at the University of Huddersfield where she gained experience lecturing in the area of supply chain modelling and logistics operations. Nicoleta Tipi has considerable industry experience, having worked in different roles involving modelling and analytics for Unilever.
Themen in »Supply Chain Analytics and Modelling«
Supply chain analytics Analytics Supply chain modelling Analysing data SAP software Business analytics models Simulation Predictive supply chain redesign