CHF 89.00

Supply Chain Analytics and Modelling
Quantitative Tools and Applications

Inglese · Tascabile

Spedizione di solito entro 4 a 7 giorni lavorativi

Descrizione

Ulteriori informazioni










A comprehensive guide for analysing, interpreting and improving supply chain systems through data.

Supply Chain Analytics and Modelling by Nicoleta Tipi provides MSc students and supply chain professionals with a practical and structured introduction to the analytical tools and business models used across modern logistics and operations environments. The fully updated, latest edition of this core resource helps readers make sense of complex supply chain data and build the modelling skills needed to improve performance, resilience and decision-making. Beginning with the foundations of analytics and business modelling, the textbook guides students and professionals through increasingly advanced techniques, from simulation and optimization to machine learning, AI and digital twins. It shows how to critically evaluate supply chain performance using accurate data, and how to apply model outputs to solve real-world problems. Throughout, readers will gain the tools to manage data complexity, assess risk and apply intelligent models to support effective decision-making. To support academic study and independent learning, this edition includes: - A wide range of modelling approaches, from descriptive to predictive analytics
- New content on digital twins, machine learning, AI and simulation tools
- Analysis of supply chain performance measurement and data reliability
- Real-world examples that connect theory to logistics and operations practice
- Online resources including lecturer slides and solved model examples Supply Chain Analytics and Modelling equips students and practitioners with the analytical confidence and technical fluency to interpret, model and manage today's data-intensive supply chain systems.


Info autore










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 has considerable industry experience, having worked in different roles involving modelling and analytics for Unilever.


Dettagli sul prodotto

Autori Nicoleta Tipi, Dr Nicoleta Tipi
Editore Kogan Page
 
Contenuto Libro
Forma del prodotto Tascabile
Data pubblicazione 03.11.2025
Categoria Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie
Scienze sociali, diritto, economia > Economia > Management
 
EAN 9781398620759
ISBN 978-1-398-62075-9
Numero di pagine 360
 
Categorie Simulation, TECHNOLOGY & ENGINEERING / Engineering (General), Analytics, Supply chain analytics, Engineering: general, Purchasing & supply management, BUSINESS & ECONOMICS / Logistics & Supply Chain, Distribution & warehousing management, Distribution and logistics management, Purchasing and supply management, Data capture and analysis, Supply chain optimization, Descriptive Analytics, Machine Learning in Logistics, Supply chain modelling, Kogan Page, supply chain textbook, supply chain case studies, digital tools in logistics, real-world logistics modelling, data reliability logistics, supply chain management MSc textbook, digital twins in logistics, predictive analytics in supply chain, AI-based logistics decisions, supply chain systems analysis, Analysing data, simulation in supply chains, modelling supply chain uncertainty, MSc supply chain, applied supply chain analytics, logistics performance models, predictive modelling logistics, logistics data interpretation, Supply Chain Analytics and Modelling book, strategic supply chain modelling, supply chain performance measurement, AI in supply chain, supply chain decision-making, Business analytics models, technical supply chain skills, data complexity in supply chain, business modelling for supply chain, SAP software, operations analytics, logistics analytics textbook, machine learning supply chain applications, supply chain metrics, operations research in supply chain, performance-based supply chain decisions, data-driven logistics, MSc logistics resource, logistics and operations analytics, logistics AI applications, Nicoleta Tipi, intelligent supply chain systems, supply chain resilience modelling, data visualization supply chain, quantitative supply chain methods, supply chain analysis tools, modelling supply chain systems, logistics simulation tools, risk analysis in supply chains, advanced analytics in logistics, Predictive supply chain redesign
 

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