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2020 | Book

Advanced Operations Management for Complex Systems Analysis: Introduction Read chapter Read first chapter

Advanced Operations Management for Complex Systems Analysis

Author: Assist. Prof. Jingzheng Ren

Publisher: Springer International Publishing

Book Series : SpringerBriefs in Applied Sciences and Technology

Part of: Springer Professional "Wirtschaft+Technik" , Springer Professional "Technik" , Springer Professional "Wirtschaft"

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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.

Table of Contents

Frontmatter
Chapter 1. Advanced Operations Management for Complex Systems Analysis: Introduction
Abstract
This chapter has had a brief overview of multi-criteria decision making methods for operations management, especially for complex decision-making and complex system analysis, and the main content of each chapter has been introduced: a two-stage interval best-worst method based on the multiplicative constraint was developed in Chap. 2, 2-tupe DEMATEL (decision making trial and evaluation laboratory) was introduced in Chap. 3, fuzzy best-worst network method combined with ISM was proposed for analyzing the complex systems was illustrated in Chap. 4, and a multi-stakeholder intuitionistic fuzzy multi-criteria decision making method was presented in Chap. 5. Typical problems about complex decision-making and complex system analysis were investigated to show the applicability of these advanced operations management methods.
Jingzheng Ren
Chapter 2. Two-Stage Interval Best-Worst Method for Weighting: Prioritization of Influential Factors of Airport Competitiveness
Abstract
There are various factors influencing airport competitiveness, but it is usually difficult for the decision-makers to clearly understand the roles of these influential factors of airport competitiveness. In order to address this, this study aims at developing a two-stage interval best-worst method for determining the relative importance based on the multiplicative constraint. A total of twenty influential factors in five dimensions including airport capacity, network connectivity, service quality, operations and management, and external environment were summarized, then, the developed weighting method was employed to prioritize these influential factors, and they were categorized into three level, namely, significantly group, moderately important group, and less important group. Some policy implications were also proposed for building competitive airports and for improving the competitiveness of airports.
Jingzheng Ren
Chapter 3. 2-Tuple DEMATEL for Complex Interrelationships Analysis: Barriers Identification, Cause-Effect Analysis and Policy Implications for Sustainable Tourism Industry
Abstract
Tourism industry plays an important role in China’s economy growth; however, there are many interviewed and interacted barriers hindering the development of China’s tourism industry. The objective of this study is to investigate the barriers hindering the development of China’s tourism industry, develop an improved DEMATEL method to study the cause-effect relationships among these barriers and identify the critical barriers according to their relative importance. Ten barriers including weak industrial foundation, leisure consciousness, lack of policy support, lack of complete infrastructure, staff quality, lack collaborations among tourism enterprises, lack of innovations, governance and management ability, weak tourism brand, incomplete legal and regulation system, and insufficient governmental investment, were studied in this paper, and the 2-tuple DEMATEL was employed to analyze the complex relationships among these barriers and rank these barriers, and some policy implications were presented to China’s decision-makers for them to promote the development of China’s tourism industry.
Jingzheng Ren
Chapter 4. Fuzzy Best-Worst Method and Interpretive Structural Modelling for Complex System Analysis: Enablers Analysis for Aviation Maintenance Safety
Abstract
This study aims at employing the multi-criteria decision analysis method for analyzing the enablers of aviation maintenance safety, the twelve enablers of aviation maintenance safety in human, facilities, institution and management aspects were firstly summarized; subsequently, the fuzzy best-worst network method was used to prioritize these enablers according to their relative importance, and the significantly important and moderately important enablers can be identified; then, eight strategic measures were proposed according to the relative importance of the enablers; finally, the interpretive structural modelling was employed to investigate the complex relationships among these eight strategic measures, and drafting appropriate plan and schedule, training on aviation maintenance, education on safety maintenance awareness, perfect the regulation and standard system, and establishing complete safety management system should be adopted by the decision-makers/stakeholders to improve the aviation maintenance safety.
Jingzheng Ren
Chapter 5. Multi-stakeholder Multi-criteria Decision-Making Framework for Sustainability Prioritization: Investigation of the Processes for Sludge-to-Wealth
Abstract
The treatment of sewage sludge has been a great challenge of many counties. This study aims at developing a generic multi-stakeholder multi-criteria decision making framework for sustainability assessment and prioritization of the pathways for sludge recycling. Multi-stakeholder intuitionistic fuzzy analytic hierarchy process (AHP) method which allows multiple groups of stakeholders to participate in the determination of the weights of the evaluation criteria was developed. Multi-stakeholder intuitionistic fuzzy grey relational analysis (GRA) method was proposed to rank the alternative processes for converting sludge to energy or resources. Four pathways for sludge treatment including sludge for landscaping, sludge for landfilling, sludge for incineration, and sludge for cement production were studied, and this method enables the decision-makers to know the integrated priorities of the processes for sludge treatment. Sludge for landscaping has been recognized as the most sustainable pathway for sludge treatment, follows by sludge for landfilling, sludge for cement production (A4), and sludge for incineration. The results were validated by the sum weighted method, and sensitivity analysis was also carried to investigate the effects of the weights on the final sustainability ranking.
Jingzheng Ren
Metadata
Title
Advanced Operations Management for Complex Systems Analysis
Author
Assist. Prof. Jingzheng Ren
Copyright Year
2020
Electronic ISBN
978-3-030-45418-0
Print ISBN
978-3-030-45417-3
DOI
https://doi.org/10.1007/978-3-030-45418-0