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 digitalisation. Environmental and sustainability issues are emphasised, as are globalisation and automation processes. Aimed in particular at students seeking an introduction to the subject, Operations Management Analytics 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 that 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.
Auflage
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Postgraduate, Professional Reference, and Undergraduate Advanced
Illustrationen
266 farbige Abbildungen, 6 Farbfotos bzw. farbige Rasterbilder, 260 farbige Zeichnungen, 90 farbige Tabellen
90 Tables, color; 260 Line drawings, color; 6 Halftones, color; 266 Illustrations, color
Maße
Höhe: 280 mm
Breite: 210 mm
ISBN-13
978-1-041-11398-0 (9781041113980)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Andrew Greasley is Lecturer in Supply Chain Analytics and Modelling at the Department of Engineering Management at Aston University, Birmingham, UK. He has 150 publications, including numerous 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 he has been recognised by the University of Warwick for his outstanding contribution to the postgraduate programmes through excellent teaching.
Part 1: Introduction 1: Introduction 2: Operations Strategy Part 2: Design 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 Part 3: Management 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, MRP and ERP 15: Supply Chain Management and Resilience 16: Project Management 17: Defining, Measuring and Improving Quality 18: Performance Measurement and Improvement
