Supply chain analytics: using data to optimise supply chain processes
"Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key Supply Chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be appli...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London ; New York
Routledge, Taylor & Francis Group
2021
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| Schlagworte: | |
| Online-Zugang: | FHI01 Volltext |
| Zusammenfassung: | "Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key Supply Chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes - strategy, design, execution, and people - to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter, worked examples illustrating how each analytic technique works, how it is applied and what to be careful of, tables, diagrams and equations to help 'visualise' the concepts and methods covered, chapter case studies, and end of chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of Supply Chain Analytics, Supply Chain Leadership, and Supply Chain and Operations Management. Its practice-based and applied approach also makes it valuable for operating Supply Chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions"-- |
| Beschreibung: | Literaturangaben |
| Beschreibung: | 1 Online-Ressource (xx, 298 Seiten) Diagramme |
| ISBN: | 9781003084020 |
| DOI: | 10.4324/9781003084020 |
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| discipline | Wirtschaftswissenschaften |
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| isbn | 9781003084020 |
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| spelling | Robertson, Peter W. Verfasser (DE-588)1225752590 aut Supply chain analytics using data to optimise supply chain processes Peter W. Robertson London ; New York Routledge, Taylor & Francis Group 2021 1 Online-Ressource (xx, 298 Seiten) Diagramme txt rdacontent c rdamedia cr rdacarrier Literaturangaben "Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management. By describing the key Supply Chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing. The author identifies four core supply chain processes - strategy, design, execution, and people - to which the analytic techniques explained can be applied to ensure continuous improvement. Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter, worked examples illustrating how each analytic technique works, how it is applied and what to be careful of, tables, diagrams and equations to help 'visualise' the concepts and methods covered, chapter case studies, and end of chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of Supply Chain Analytics, Supply Chain Leadership, and Supply Chain and Operations Management. Its practice-based and applied approach also makes it valuable for operating Supply Chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions"-- Datenanalyse (DE-588)4123037-1 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Business logistics Decision making Supply Chain Management (DE-588)4684051-5 s Datenanalyse (DE-588)4123037-1 s b DE-604 Erscheint auch als Druck-Ausgabe 978-0-367-54006-7 https://doi.org/10.4324/9781003084020 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Robertson, Peter W. Supply chain analytics using data to optimise supply chain processes Datenanalyse (DE-588)4123037-1 gnd Supply Chain Management (DE-588)4684051-5 gnd |
| subject_GND | (DE-588)4123037-1 (DE-588)4684051-5 |
| title | Supply chain analytics using data to optimise supply chain processes |
| title_auth | Supply chain analytics using data to optimise supply chain processes |
| title_exact_search | Supply chain analytics using data to optimise supply chain processes |
| title_exact_search_txtP | Supply chain analytics using data to optimise supply chain processes |
| title_full | Supply chain analytics using data to optimise supply chain processes Peter W. Robertson |
| title_fullStr | Supply chain analytics using data to optimise supply chain processes Peter W. Robertson |
| title_full_unstemmed | Supply chain analytics using data to optimise supply chain processes Peter W. Robertson |
| title_short | Supply chain analytics |
| title_sort | supply chain analytics using data to optimise supply chain processes |
| title_sub | using data to optimise supply chain processes |
| topic | Datenanalyse (DE-588)4123037-1 gnd Supply Chain Management (DE-588)4684051-5 gnd |
| topic_facet | Datenanalyse Supply Chain Management |
| url | https://doi.org/10.4324/9781003084020 |
| work_keys_str_mv | AT robertsonpeterw supplychainanalyticsusingdatatooptimisesupplychainprocesses |