Overview
- Presents operations management methods from a system engineering perspective
- Utilises examples from industry and day-to-day life to illustrate the methods discussed
- Showcases ways to improve system sustainability, safety, and competitiveness
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
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Table of contents(5 chapters)
About this book
This book focuses on operations management methods for analysing complex systems from a system engineering perspective. It presents various advanced multi-criteria decision analysis methods for investigating factors that influence complex systems. In turn, it shows how to improve systems’ performance, including their competitiveness, safety, and sustainability. The book also draws on examples of typical virtual systems such as tourism, aviation maintenance, and waste-to-wealth systems to illustrate the operations management methods discussed. Cases from day-to-day life are used to elicit heuristic questions on the operations management methods presented in each chapter.
The book will help researchers, operations managers, and engineers alike to understand the latest advances in operations management methods for analysing complex systems from the standpoint of system engineering.
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Authors and Affiliations
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Department of Industrial and Systems Engineering, Hong Kong Polytechnic University, Hong Kong SAR, China
Jingzheng Ren
About the author
Bibliographic Information
Book Title: Advanced Operations Management for Complex Systems Analysis
Authors: Jingzheng Ren
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-030-45418-0
Publisher: Springer Cham
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2020
Softcover ISBN: 978-3-030-45417-3Published: 22 April 2020
eBook ISBN: 978-3-030-45418-0Published: 21 April 2020
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: VI, 104
Number of Illustrations: 9 b/w illustrations, 6 illustrations in colour
Topics: Operations Research/Decision Theory, Engineering Economics, Organization, Logistics, Marketing, Complex Systems