Operations Management Analytics, 4th Edition

Title: Operations Management Analytics, 4th Edition
Author: Andrew Greasley
ISBN: 1041113986 / 9781041113980
Format: Soft Cover
Pages: 494
Publisher: Routledge
Year: 2026
Availability: In Stock

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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.

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Preface
Acknowledgements
A Guide for Students

Part 1 : Introduction 
Chapter 1 :
Introduction 
Chapter 2 : Operations Strategy 

Part 2 : Design 
Chapter 3 :
Process Design 
Chapter 4 : Digital and Physical Process Technology 
Chapter 5 : Layout Design 
Chapter 6 : Supply Network Design and Facility Location 
Chapter 7 : Product and Service Design 
Chapter 8 : Job and Work Design 

Part 3 : Management 
Chapter 9 :
Long-Term Capacity Management and Forecasting 
Chapter 10 : Medium-Term Capacity Management 
Chapter 11 : Short-Term Scheduling 
Chapter 12 : Inventory Management 
Chapter 13 : Lean, Kanban, Agile and Leagile Supply Chain Strategies 
Chapter 14 : Aggregate Planning, MRP and ERP 
Chapter 15 : Supply Chain Management and Resilience 
Chapter 16 : Project Management 
Chapter 17 : Defining, Measuring and Improving Quality 
Chapter 18 : Performance Measurement and Improvement 

Index