Disruptive Technologies and Optimization Towards Industry 4. 0 Logistics

• Autore: Karakitsiou Athanasia
• Pubblicazione: Cham : , : Springer International Publishing AG, , 2024; ©2024
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (298 pages)
• Altri autori: MigdalasAthanasios PardalosPanos M
• Nota di contenuto: Intro -- Preface -- Contents -- Contributors -- Managing Risks in Smart Warehouses from the Perspective of Industry 4.0 -- 1 Introduction -- 2 Background Knowledge -- 2.1 Additive Manufacturing or 3D Printing -- 2.2 Artificial Intelligence and Machine Learning: AI/ML -- 2.3 Augmented Reality: AR -- 2.4 Big Data: BD -- 2.5 Blockchain: BC -- 2.6 Cyber-Physical System: CPS -- 2.7 Digital Twins: DT -- 2.8 Internet of Things: IoT -- 2.9 Robotics and Robotic Process Automation: RPA -- 3 Research Methodology -- 4 Results -- 4.1 Warehouse Operational Risks and I4.0 -- 4.1.1 Theoretical Contributions -- 4.1.2 Empirical Contributions -- 4.2 Warehouse Risks: Receiving -- 4.2.1 Theoretical Contributions -- 4.2.2 Empirical Contributions -- 4.3 Warehouse Risks: Storing -- 4.3.1 Theoretical Contributions -- 4.3.2 Empirical Contributions -- 4.4 Warehouse Risks: Order Dispatching (Combining Picking & -- Shipping) -- 4.4.1 Theoretical Contributions -- 4.4.2 Empirical Contributions -- 4.5 Warehouse Risks: General Focus -- 5 Discussion -- 6 Conclusions -- Annex -- Bibliography -- Blockchain Technologies as a 4th Industrial Revolution Facilitator in Logistics -- 1 Introduction -- 2 Theoretical Foundation -- 2.1 Introduction -- 2.2 Blockchain Technology -- 2.2.1 History of Blockchain Technology -- 2.2.2 How Blockchain Technology Works -- 2.2.3 Applications of Blockchain in Logistics -- 2.2.4 Shortcomings and Challenges of Blockchain Technology -- 2.2.5 Benefits of Blockchain in Logistics -- 2.3 4th Industrial Revolution -- 2.3.1 History and Evolution of the Industrial Revolutions -- 2.3.2 Key Technologies of the 4th Industrial Revolution -- 2.3.3 Potential Applications of the 4th Industrial Revolution in Logistics -- 2.3.4 Shortcomings and Challenges of the 4th Industrial Revolution -- 2.3.5 Benefits of the 4th Industrial Revolution in Logistics. ; 2.3.6 Initiatives to Embrace the 4th Industrial Revolution -- 2.4 The Logistics Sector -- 2.4.1 History of the Logistics Sector -- 2.4.2 Subsectors of the Logistics Sector -- 2.4.3 Economic Significance of the Logistics Sector -- 2.4.4 Incorporation of Technologies in the Logistics Sector -- 2.4.5 Challenges Faced by the Logistics Sector -- 3 Research Methodology -- 3.1 Systematic Literature Review Protocol -- 3.2 Systematic Literature Review Results -- 3.3 Literature Review -- 3.3.1 Transparency in Logistics -- 3.3.2 Traceability in Logistics -- 3.3.3 Regional and Localized Research -- 3.3.4 "Smartification" of Logistics -- 3.3.5 Blockchain in Maritime Logistics -- 4 Case Studies -- 4.1 Introduction -- 4.2 The COVID-19 Case -- 4.2.1 Impact of the COVID-19 Pandemic on the Logistics Sector -- 4.2.2 Recovery and Adaptation in the Logistics Sector -- 4.2.3 Recovery from the COVID-19 Pandemic: The Role of 4th Industrial Revolution Technologies and Blockchain in the Logistics Sector -- 4.3 Blockchain Applications in Logistics -- 4.3.1 Inventory Tracking -- 4.3.2 Shipping -- 4.3.3 Invoicing and Payments -- 4.3.4 Authenticity and Transparency -- 4.3.5 Dispute Resolution -- 5 Conclusions -- 5.1 Discussion on Results -- 5.2 Further Research Proposals -- A.1 Appendix. List of Articles Selected in the SLR Process -- References -- Online Resources -- Blockchain Technology for Information Sharing to Mitigate the Bullwhip Effect -- Abbreviations -- 1 Introduction -- 1.1 Background -- 1.2 Problem Statement -- 1.3 Research Questions -- 1.3.1 Developments of Research Questions -- 2 Literature Review -- 2.1 Supply Chain Coordination -- 2.2 The Bullwhip Effect -- 2.2.1 The Negative Impact of BWE on SCP -- 2.2.2 Causes of BWE -- 2.2.3 Measuring of BWE -- 2.2.4 Information Sharing a Remedy to Mitigate the BWE -- 2.2.5 BWE in Service Supply Chain. ; 2.3 Information Sharing -- 2.4 Types of Information Sharing -- 2.5 How to Share Information? -- 2.6 Benefits of Information Sharing -- 2.7 Blockchain Technology -- 2.7.1 Blockchain and Supply Chain Management -- 2.7.2 Categories of Blockchain Technology -- 3 Our Contributions -- 4 Conclusion and Limitations -- References -- Autonomous Vehicle Routing Optimization: A Survey -- 1 Introduction -- 2 Methodology -- 2.1 Identification of Research Gap and Formulation of Research Questions -- 2.2 Locating Studies and Selection -- 2.3 Analysis of the Literature -- 3 Results -- 3.1 Optimization Criteria -- 3.2 Optimization Models -- 3.3 Optimization Methods -- 4 Conclusions -- References -- Assessing Path Planning Algorithms of Mobile Robots: A ROS-Based Simulation Framework -- Abbreviations -- 1 Introduction -- 2 Mobile Robots & -- ROS-Enabled Path Planning Algorithms -- 2.1 Background -- 2.1.1 Classical Algorithms -- 2.1.2 Reactive Algorithms -- 2.1.3 Hybrid Approaches -- 2.2 Categorization -- 2.2.1 Grid Approaches -- 2.2.2 Simulation Approaches -- 2.2.3 Real-World Approaches -- 2.3 Critical Taxonomy -- 3 Mobile Robots Path Planning: A ROS-Enabled Software -- 3.1 Framework Architecture -- 3.1.1 Phase #1: Layout Creation & -- Path Planning Algorithms Programming -- 3.1.2 Phase #2: ROS Integration -- 3.2 Simulation and Real-World -- 4 Discussion and Conclusions -- References -- Logistics System Network Design Towards Sustainability in the Era of Data Analytics -- 1 Introduction -- 2 Logistics Network Strategies and Decision Models -- 2.1 Supply Chain Network Design -- 2.2 Facility Location -- 2.3 Vehicle Routing -- 2.4 Location-Routing -- 3 Solution Methods -- 3.1 Construction Heuristics -- 3.2 Local Search -- 3.3 Metaheuristics -- 3.3.1 Variable Neighborhood Search and Variable Neighborhood Descent -- 3.3.2 Ant Colony Optimization -- 4 Our Contributions. ; 4.1 Location-Routing -- 4.2 Backward Time-Period Optimization -- 4.3 Hierarchical Multi-Switch Multi-Echelon VRP -- 4.3.1 Considering Service Times -- 5 Conclusions and Future Research -- References -- Strategic Evaluation of Environmental Trade-Off Solution in Logistics: A Multi Criteria Decision Making Approach -- 1 Introduction -- 2 Theoretical Framework -- 2.1 Logistic Network -- 2.1.1 Ocean Freight -- 2.1.2 Road Transportation -- 2.2 Assessment of Transportation Emissions -- 2.2.1 Emission Metric Measure -- 2.3 Solution Approaches -- 2.3.1 The TOPSIS Method -- 2.3.2 The VIKOR Method -- 2.3.3 Comparison of TOPSIS and VIKOR -- 3 Presentation of the Company Under Study -- 3.1 Transportation Network -- 3.1.1 Current Situation -- 4 Data -- 4.1 Assessment of Environmental Data -- 4.2 Internal Emission Calculations -- 4.2.1 Emission Factor Calculation -- 4.2.2 Volume Calculation -- 4.2.3 Distance Calculation -- 5 Results and Analysis -- 5.1 Cost -- 5.2 Time -- 5.3 Weights -- 5.4 Results -- 5.5 Evaluation of the Optimization -- 5.5.1 Comparison to As-Is Analysis -- 5.5.2 Stakeholders -- 5.5.3 Strategic Decisions -- 5.5.4 Evaluation of Emissions -- 6 Conclusion and Recommendations -- 6.1 Short-Term Recommendations -- 6.2 Long-Term Recommendations -- 6.3 Limitations -- References -- A Simulated Annealing Heuristic Approach for the Energy Minimizing Electric Vehicle Routing Problem with Drones -- 1 Introduction -- 2 Literature Review -- 2.1 Electric Vehicle Routing Problems -- 2.2 Routing Problems with Drones -- 3 The Electric Vehicle Routing Problem with Drones -- 3.1 Mathematical Formulation of the EVRPD -- 4 Simulated Annealing Heuristic -- 4.1 Population Initialization -- 4.2 Neighborhood Operators -- 4.3 Temperature Reduction -- 5 Computational Results -- 5.1 Parameter Sensitivity -- 5.2 Experimental Results -- 6 Conclusions -- References. ; A Greedy and Variable Neighborhood Search Metaheuristic Approach for the Cumulative Unmanned Aerial Vehicle RoutingProblem -- 1 Introduction -- 2 Literature Review -- 3 The Cumulative Unmanned Aerial Vehicle Routing Problem -- 3.1 Humanitarian Coverage Path Planning Problem -- 3.2 Converting CPP to VRP -- 3.3 Mathematical Formulation of the CUAVRP -- 4 Greedy and Variable Neighborhood Search Approach -- 4.1 Initial Solution Construction -- 4.2 Greedy Shaking -- 4.3 Neighborhood Shaking -- 4.4 Variable Neighborhood Descent -- 4.4.1 2-Opt -- 4.4.2 Inter-Route Exchange -- 4.4.3 Inter-Route Relocation -- 5 Computational Results -- 5.1 Greedy Shaking Parameter Sensitivity -- 5.2 CUAVRP Results -- 6 Conclusions -- References -- Spatiotemporal Analysis for the Impact of Traffic Incidents: Optimization Models Consistent with the Propagation of Shockwaves -- 1 Introduction -- 2 The Optimization Models -- 2.1 Notation and Terminology -- 2.2 The Optimization Model with Bi-Level Traffic Status -- 2.2.1 The Constraints -- 2.2.2 The Objective Function -- 2.3 The Optimization Model with Multiple Congestion Levels -- 2.3.1 The Constraints -- 2.3.2 The Objective Function -- 3 Numerical Experiments -- 3.1 Results Based on Simulation Data -- 3.2 Results Based on Real Data -- 4 Conclusion -- References.
• Titolo autorizzato: Disruptive Technologies and Optimization Towards Industry 4. 0 Logistics
• ISBN: 3-031-58919-X
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910878048103321
• Lo trovi qui: Univ. Federico II
• Serie: Springer Optimization and Its Applications Series