Advanced Operations Management for Complex Systems Analysis (SpringerBriefs in Applied Sciences and Technology)

✍ Scribed by Jingzheng Ren

• Publisher: Springer
• Year: 2020
• Tongue: English
• Leaves: 110
• Edition: 1st ed. 2020
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Contents
1 Advanced Operations Management for Complex Systems Analysis: Introduction
References
2 Two-Stage Interval Best-Worst Method for Weighting: Prioritization of Influential Factors of Airport Competitiveness
2.1 Introduction
2.2 Two-Stage Interval Best-Worst Method
2.2.1 Traditional Best-Worst Method
2.2.2 Interval Numbers
2.2.3 Two-Stage Interval Best-Worst Method
2.3 Influential Factors of Airport Competitiveness
2.4 Results and Policy Implications
2.5 Conclusions
References
3 2-Tuple DEMATEL for Complex Interrelationships Analysis: Barriers Identification, Cause-Effect Analysis and Policy Implications for Sustainable Tourism Industry
3.1 Introduction
3.2 Literature Review
3.3 Methods
3.3.1 Barriers Identification
3.3.2 Definitions and Operations of 2-Tuple Linguistic Variables
3.3.3 Improved DEMATEL
3.4 Results and Discussions
3.5 Policy Implications and Conclusions
References
4 Fuzzy Best-Worst Method and Interpretive Structural Modelling for Complex System Analysis: Enablers Analysis for Aviation Maintenance Safety
4.1 Introduction
4.2 Methods
4.2.1 Enablers of Aviation Maintenance Safety
4.2.2 Fuzzy Best-Worst Method
4.2.3 Fuzzy Best-Worst Network Method
4.2.4 Interpretative Structural Modeling
4.3 Results and Discussion
4.4 Conclusions
References
5 Multi-stakeholder Multi-criteria Decision-Making Framework for Sustainability Prioritization: Investigation of the Processes for Sludge-to-Wealth
5.1 Introduction
5.2 Evaluation Criteria
5.3 Methods
5.3.1 Preliminaries
5.3.2 Multi-stakeholder Intuitionistic Fuzzy AHP Method
5.3.3 Multi-stakeholder Intuitionistic Fuzzy Grey Relational Analysis (GRA)
5.4 Case Study
5.5 Discussion
5.6 Conclusion
Appendix
References