Decision support systems XI : decision support systems, analytics and technologies in response to global crisis management : 7th International Conference on Decision Support System Technology, ICDSST 2021, Loughborough, UK, May 26-28, 2021, Proceedings

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. 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