Isbn: 9781032761305 - supply chain analytics: using data to optimise supply chain processes (24 risultati)

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  • Lingua: Inglese

    Editore: Routledge, 2025

    103276130X / 9781032761305

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    Paperback. Condizione: New. Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of its effective use in the improvement of supply chain (SC) process performance. By describing four key SC processes and illustrating - through worked examples - how the descriptive, predictive, and prescriptive analytic methods can be applied to enhance those processes, this book presents a more comprehensive learning experience for the reader than has been offered previously.Key topics and issues are addressed, including the capriciousness of modern SC operating environments; the imperative of SC sustainability; the need for heightened SC risk management; the building of SC resilience; the pursuit of SC optimisation; and the use of big data, data mining, cloud computing, machine learning, artificial intelligence (AI), and importantly the social issues confronting SC analysts in carrying out their work.The author identifies four core SC processes - strategy, design, execution, and people - to which the analytic techniques explained can be applied to ensure continuous performance improvement and the growth of competitive advantage.Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the intended learning outcomes; 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; end-of-chapter case studies; review questions; and assignment tasks.Providing both management expertise and technical skills, which are essential to decision-makers in the SC, this textbook is an essential reading for advanced undergraduate and postgraduate students of SC analytics, SC leaders, and SC operations management professionals. Its practice-based and applied approach also makes it valuable for teaching academics, organisational trainers and coaches, operating SC practitioners, and those pursuing professional qualifications.Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, worked examples using Excel, and a test bank of exam questions.

  • Lingua: Inglese

    Editore: Routledge, 2025

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  • Lingua: Inglese

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    Paperback. Condizione: Brand New. 2nd edition. 440 pages. 9.68x6.87x9.69 inches. In Stock.

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    Paperback. Condizione: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.

  • Lingua: Inglese

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    Taschenbuch. Condizione: Neu. Supply Chain Analytics | Using Data to Optimise Supply Chain Processes | Peter W. Robertson | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | Routledge | EAN 9781032761305 | Verantwortliche Person für die EU: Taylor & Francis Verlag GmbH, Kaufingerstr. 24, 80331 München, gpsr[at]taylorandfrancis[dot]com | Anbieter: preigu.

  • Lingua: Inglese

    Editore: Taylor and Francis Ltd, GB, 2025

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    Paperback. Condizione: New. Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of its effective use in the improvement of supply chain (SC) process performance. By describing four key SC processes and illustrating - through worked examples - how the descriptive, predictive, and prescriptive analytic methods can be applied to enhance those processes, this book presents a more comprehensive learning experience for the reader than has been offered previously.Key topics and issues are addressed, including the capriciousness of modern SC operating environments; the imperative of SC sustainability; the need for heightened SC risk management; the building of SC resilience; the pursuit of SC optimisation; and the use of big data, data mining, cloud computing, machine learning, artificial intelligence (AI), and importantly the social issues confronting SC analysts in carrying out their work.The author identifies four core SC processes - strategy, design, execution, and people - to which the analytic techniques explained can be applied to ensure continuous performance improvement and the growth of competitive advantage.Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the intended learning outcomes; 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; end-of-chapter case studies; review questions; and assignment tasks.Providing both management expertise and technical skills, which are essential to decision-makers in the SC, this textbook is an essential reading for advanced undergraduate and postgraduate students of SC analytics, SC leaders, and SC operations management professionals. Its practice-based and applied approach also makes it valuable for teaching academics, organisational trainers and coaches, operating SC practitioners, and those pursuing professional qualifications.Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, worked examples using Excel, and a test bank of exam questions.

  • Lingua: Inglese

    Editore: Routledge Sep 2025, 2025

    103276130X / 9781032761305

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    Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of its effective use in the improvement of supply chain (SC) process performance. By describing four key SC processes and illustrating - through worked examples - how the descriptive, predictive, and prescriptive analytic methods can be applied to enhance those processes, this book presents a more comprehensive learning experience for the reader than has been offered previously.Key topics and issues are addressed, including the capriciousness of modern SC operating environments; the imperative of SC sustainability; the need for heightened SC risk management; the building of SC resilience; the pursuit of SC optimisation; and the use of big data, data mining, cloud computing, machine learning, artificial intelligence (AI), and importantly the social issues confronting SC analysts in carrying out their work.The author identifies four core SC processes - strategy, design, execution, and people - to which the analytic techniques explained can be applied to ensure continuous performance improvement and the growth of competitive advantage.Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the intended learning outcomes; 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; end-of-chapter case studies; review questions; and assignment tasks.Providing both management expertise and technical skills, which are essential to decision-makers in the SC, this textbook is an essential reading for advanced undergraduate and postgraduate students of SC analytics, SC leaders, and SC operations management professionals. Its practice-based and applied approach also makes it valuable for teaching academics, organisational trainers and coaches, operating SC practitioners, and those pursuing professional qualifications.Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, worked examples using Excel, and a test bank of exam questions. 352 pp. Englisch.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, 2025

    103276130X / 9781032761305

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    Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 500.

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    Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Peter W. Robertson is an Honorary Research Fellow at the University of Wollongong (UOW), Australia. Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of its eff.

  • Lingua: Inglese

    Editore: Taylor & Francis Ltd, London, 2025

    103276130X / 9781032761305

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    Paperback. Condizione: new. Paperback. Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of its effective use in the improvement of supply chain (SC) process performance. By describing four key SC processes and illustrating through worked examples how the descriptive, predictive, and prescriptive analytic methods can be applied to enhance those processes, this book presents a more comprehensive learning experience for the reader than has been offered previously.Key topics and issues are addressed, including the capriciousness of modern SC operating environments; the imperative of SC sustainability; the need for heightened SC risk management; the building of SC resilience; the pursuit of SC optimisation; and the use of big data, data mining, cloud computing, machine learning, artificial intelligence (AI), and importantly the social issues confronting SC analysts in carrying out their work.The author identifies four core SC processes strategy, design, execution, and people to which the analytic techniques explained can be applied to ensure continuous performance improvement and the growth of competitive advantage.Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the intended learning outcomes; 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; end-of-chapter case studies; review questions; and assignment tasks.Providing both management expertise and technical skills, which are essential to decision-makers in the SC, this textbook is an essential reading for advanced undergraduate and postgraduate students of SC analytics, SC leaders, and SC operations management professionals. Its practice-based and applied approach also makes it valuable for teaching academics, organisational trainers and coaches, operating SC practitioners, and those pursuing professional qualifications.Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, worked examples using Excel, and a test bank of exam questions. Supply Chain Analytics, second edition, introduces the reader to data analytics by describing four-key supply chain processes, and illustrating, through worked examples, how the descriptive, predictive and prescriptive analytic methods can be applied to make improvements. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

  • Lingua: Inglese

    Editore: Routledge, 2025

    103276130X / 9781032761305

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    Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Supply Chain Analytics, second edition, introduces the reader to data analytics and demonstrates the value of its effective use in the improvement of supply chain (SC) process performance. By describing four key SC processes and illustrating - through worked examples - how the descriptive, predictive, and prescriptive analytic methods can be applied to enhance those processes, this book presents a more comprehensive learning experience for the reader than has been offered previously.Key topics and issues are addressed, including the capriciousness of modern SC operating environments; the imperative of SC sustainability; the need for heightened SC risk management; the building of SC resilience; the pursuit of SC optimisation; and the use of big data, data mining, cloud computing, machine learning, artificial intelligence (AI), and importantly the social issues confronting SC analysts in carrying out their work.The author identifies four core SC processes - strategy, design, execution, and people - to which the analytic techniques explained can be applied to ensure continuous performance improvement and the growth of competitive advantage.Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the intended learning outcomes; 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; end-of-chapter case studies; review questions; and assignment tasks.Providing both management expertise and technical skills, which are essential to decision-makers in the SC, this textbook is an essential reading for advanced undergraduate and postgraduate students of SC analytics, SC leaders, and SC operations management professionals. Its practice-based and applied approach also makes it valuable for teaching academics, organisational trainers and coaches, operating SC practitioners, and those pursuing professional qualifications.Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments, worked examples using Excel, and a test bank of exam questions.