Operations Management Analytics

4. Auflage 2025
ISBN: 978-1-041-11398-0
Verlag: Taylor & Francis Ltd

Buch, Englisch, 518 Seiten, Format (B × H): 210 mm x 280 mm

Operations Management Analytics, 4th Edition provides a clear and accessible introduction to this important area of study. Taking an international approach, and written in a concise style, this revised new edition has been updated throughout to ensure that all key areas of operations in both the manufacturing and service industries are accounted for.

New to this edition, the reader will find coverage of Industry 4.0; supply chain disruption; Internet of Things (IoT); 3D printing; Big Data Analytics; AI and digitalization. Environmental and sustainability issues are emphasized, as are globalisation and automation processes. Aimed in particular at students seeking an introduction to the subject, Operations Management Analytics, 4th Edition provides the reader with a comprehensive resource upon which to base their learning. A number of new case studies are featured – these are drawn from the service industry, manufacturing and the public sector, and come from a range of international contexts. Each chapter is complemented by a strategy link section that relates the chapter topic to operations strategy, and an Analytics section which provides quantitative content and exercises. End-of-chapter questions and exercises encourage the reader to reflect on what they have learnt.

Operations Management Analytics, 4th Edition is the ideal textbook for undergraduate students seeking to quickly get to grips with this fascinating and lively subject.

Zielgruppe

Postgraduate, Professional Reference, and Undergraduate Advanced

Autoren/Hrsg.

Greasley, Andrew

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Bereichsspezifisches Management Produktionsmanagement, Qualitätskontrolle

Inhaltsverzeichnis

1: Introduction 2: Operations Strategy 3: Process Design 4: Digital and Physical Process Technology 5: Layout Design 6: Supply Network Design and Facility Location 7: Product and Service Design 8: Job and Work Design 9: Long-Term Capacity Management and Forecasting 10: Medium-Term Capacity Management 11: Short-Term Scheduling 12: Inventory Management 13: Lean, Kanban, Agile and Leagile Supply Chain Strategies 14: Aggregate Planning, Materials Requirements Planning (MRP) and ERP 15: Supply Chain Management and Resilience 16: Project Management 17: Defining, Measuring and Improving Quality 18: Performance Measurement and Improvement

Über Autor(innen)

Andrew Greasley is Lecturer in Supply Chain Analytics and Modelling at the Department of Engineering Systems and Supply Chain Management at Aston University, Birmingham, UK. He has 150 publications including 15 books and is a member of the editorial board for the Journal of Manufacturing Technology Management. He has taught at a number of institutions in the UK, Europe and Africa and in 2023 was recognised by the University of Warwick for his outstanding contribution to the postgraduate programmes by excellent teaching.