Operations Management Analytics

Andrew Greasley

$191.95 $153.95

Paperback

Forthcoming
Pre-Order now

QTY:

English

Routledge
30 September 2025

Production & quality control management; Network management

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.

By: Andrew Greasley
Imprint: Routledge
Country of Publication: United Kingdom
Edition: 4th edition
Dimensions: Height: 280mm, Width: 210mm,
ISBN: 9781041113980
ISBN 10: 1041113986
Pages: 480
Publication Date: 30 September 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Forthcoming

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.