Decision Support Systems XI: Decision Support Systems, Analytics and Technologies in Response to Global Crisis Management (Lecture Notes in Business Information Processing)

✍ Scribed by Uchitha Jayawickrama (editor), Pavlos Delias (editor), María Teresa Escobar (editor), Jason Papathanasiou (editor)

• Publisher: Springer
• Year: 2021
• Tongue: English
• Leaves: 147
• Category: Library

✦ Synopsis

This book constitutes the proceedings of the 7th International Conference on Decision Support Systems Technologies, ICDSST 2021, held during May 26-28, 2021. The conference was planned to take place in Loughborough, UK, and changed to an online format due to the COVID-19 pandemic.

The EWG-DSS series of International Conference on Decision Support System Technology (ICDSST) is planned to consolidate the tradition of annual events organized by the EWG-DSS in offering a platform for European and international DSS communities, comprising the academic and industrial sectors, to present state-of-the-art DSS research and developments, to discuss current challenges that surround decision-making processes, to exchange ideas about realistic and innovative solutions, and to co-develop potential business opportunities.

The main aim of this year’s conference is to investigate the role DSS and related technologies can play in mitigating the impact of pandemics and post-crisis recovery.

The 10 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in two topical sections named: multiple criteria approaches and advances in decision support systems’ technologies and methods.

✦ Table of Contents

Preface
Organization
Contents
Multiple Criteria Approaches
The Multi-Actor Multi-Criteria Analysis (MAMCA) for Mass-Participation Decision Making
1 Introduction
2 MAMCA Methodology Evolution
3 Mass-Participation Decision-Making in MAMCA
3.1 Designing and Answering Survey Questions
3.2 Weight Allocation and Alternative Evaluation
4 Case Study
4.1 Stakeholders’ Perspective
4.2 Decision-Maker’s Perspective
5 Limitations and Directions for Future Research
6 Conclusion
References
Using FITradeoff Method for Supply Selection with Decomposition and Holistic Evaluations for Preference Modelling
1 Introduction
2 Combining Holistic and Decomposition Evaluation in FITradeoff
3 Supply Selection Problem
4 Analyzing the Supply Selection Problem with FITradeoff DSS
5 Conclusion
References
DEX2Web – A Web-Based Software Implementing the Multiple-Criteria Decision-Making Method DEX
1 Introduction
2 Qualitative Multiple-Criteria Method DEX
3 Software for DEX
4 DEX2Web
4.1 Functional Requirements
4.2 Non-functional Requirements
4.3 Multi-layered Architecture
4.4 Example of Using DEX2Web
5 Conclusions
References
Comparison of AHP, PAPRICA, PROMETHEE, DEX and TOPSIS on an Application for Employee Selection
1 Introduction
2 Related Work
3 A Case Study for Comparison of MCDM Methods
4 Description of the MCDM Methods
5 Results and Discussion
6 Conclusion
References
A Survey on Criteria for Smart Home Systems with Integration into the Analytic Hierarchy Process
1 Introduction
1.1 Motivation
1.2 Related Work
2 Smart Home Criteria
2.1 Usability and Sustainability
2.2 Complexity and Integration
2.3 User-Adaptation
2.4 Platform-Concepts and IoT
2.5 Safety and Privacy
3 Decision Making with Analytic Hierarchy Process
4 Conclusion
References
Advances in Decision Support Systems’ Technologies and Methods
Modelling the Effects of Lockdown and Social Distancing in the Management of the Global Coronavirus Crisis - Why the UK Tier System Failed
1 Introduction and Literature Review
2 Method
3 Trend Analysis
3.1 Summary
4 Simulation Model Analysis
4.1 Simulation Set 1 - Loughborough Campus
4.2 Simulation Set 2 - Agent Based Modelling
4.3 Summary
4.4 Analysing the Social Distancing Aspect
5 Discussion and Implications
6 Conclusion
References
A Case Study Initiating Discrete Event Simulation as a Tool for Decision Making in I4.0 Manufacturing
1 Introduction
2 Background and Related Work
3 Method and Approach
4 Case Description
5 Results, Analysis and Discussion
5.1 Results from Data Collection Analysis of the Production Data
5.2 Applying Action Research and Case Study During the Covid-19 Pandemic
5.3 Challenges and Opportunities on a DES Journey Towards I4.0 Manufacturing
6 Conclusion
References
Methodology for Multi-aspect Ontology Development
1 Introduction
2 Decision Support Based on Human-Machine Collective Intelligence
3 Methodology for Development of Multi-aspect Ontology
3.1 Multi-aspect Ontology Development
3.2 Use Case of DSS Based on Human-Machine Collective Intelligence
4 Conclusion
References
Investigating Oversampling Techniques for Fair Machine Learning Models
1 Introduction
2 Related Work
2.1 Fairness in Machine Learning
2.2 Fairness Techniques
3 Methodology
3.1 Oversampling for Fairness
3.2 Data
3.3 Experimental Setup
4 Results and Discussion
5 Conclusions
References
Using AI to Advance Factory Planning: A Case Study to Identify Success Factors of Implementing an AI-Based Demand Planning Solution
1 Introduction
2 Research Design
3 Forecasting with Neural Networks
4 Planning Under Uncertainty
5 Results of the Demand Forecasting Project: Benefits and Costs
5.1 Benefits
5.2 Costs
6 Success Factors of AI Projects for Demand Forecasting
6.1 Components of Project Success: Four Sides of the “Magic Square”
6.2 Agile Proceeding
7 Conclusion and Outlook
References
Author Index