© 2020

Advanced Operations Management for Complex Systems Analysis


Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

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. 


Operations Management Multi-Criteria Decision Making Systems Engineering Complex Systems Sustainability DEMATEL Best-Worst Method Decision Making Decision Theory

Authors and affiliations

  1. 1.Department of Industrial and Systems EngineeringHong Kong Polytechnic UniversityHong Kong SARChina

About the authors

Dr Jingzheng Ren is currently an Assistant Professor of Process System Engineering at The Hong Kong Polytechnic University and an Adjunct Associate Professor of Engineering Operations Research for Sustainability Science at University of Southern Denmark. He worked as an Associate Professor at University of Southern Denmark before moving to The Hong Kong Polytechnic University. He has published more than 150 publications including 130 journal papers, 11 books, 27 book chapters and 13 conference papers/abstracts. His research focuses on operations management, sustainability engineering, industrial symbiosis, circular economy, life cycle sustainability assessment, energy system analysis, process system engineering, artificial intelligence, supply chain design, process integration and synthesis, energy planning and multi-criteria decision-making methods.

Bibliographic information