Humanitarian and Relief Logistics : Research Issues, Case Studies and Future Trends

Online-Ressource (XIV, 220 p. 65 illus., 56 illus. in color, digital)

Operations Research/Computer Science Interfaces Series ; 54

Includes bibliographical references and index

Humanitarian Logistics: An Opportunity forResearch in Operations to Save Lives and Limitthe Effects of Devastation; References; Contents; Chapter 1 A Decision Support System for Humanitarian Network Design and Distribution Operations; 1.1 Introduction; 1.2 Problem Description; 1.3 Network Design; 1.3.1 M1: Determining the Minimum Number of Humanitarian Aid Depots (HAD); 1.3.2 M2: Locating the Depots; 1.3.3 M3: Allocating Resources to Depots; 1.4 Distribution Planning; 1.5 Multi-Criteria Decision Support System; 1.5.1 System Structure; 1.5.2 Multi-Criteria Decision Support

1.6 Numerical Experiments1.6.1 Problem Generation; 1.6.2 Numerical Analysis; 1.6.3 Multi-Criteria Analysis of the Solutions; 1.7 Conclusion; Appendix A: Screen Shots of the Decision Support System; References; Chapter 2 Analytical Models for Estimating Waiting Times at a Disaster Relief Center; 2.1 Background and Introduction; 2.2 Literature Review; 2.3 Queuing Analysis of a Relief Center; 2.3.1 Queuing Analysis of an Individual Walkway; 2.3.2 Queuing Analysis of an Individual Distribution Pod; 2.3.3 Analysis of Waiting Times in the System

2.4 Analysis of Alternative Layouts of a Relief Center2.4.1 Analysis of Waiting Times for Layout 2; 2.4.2 Analysis of Waiting Times for Layout 3; 2.5 Numerical Experiments; 2.6 Conclusions and Extensions; References; Chapter 3 Multiple Location and Routing Models in Humanitarian Logistics; 3.1 Introduction; 3.2 The Case of Development Programs; 3.3 The Case of Emergency Response; 3.4 Discussion and Conclusion; 3.5 Appendix I; 3.6 Appendix II; References; Chapter 4 Preparedness Measures for Emergency and Disaster Response; 4.1 Introduction; 4.1.1 Background; 4.1.2 Chapter Purpose and Outline

4.1.3 Preparedness Definitions4.1.4 Relevant work; 4.2 How to Measure Preparedness; 4.2.1 Methodology; 4.2.2 Select Event and Perspective; 4.2.3 Select Indicators; 4.2.4 Combine the Indicators; 4.2.5 Validate the Measure; 4.3 Case Studies; 4.3.1 Development of a Hurricane Disaster Risk Index; 4.3.1.1 Selection of Event and Perspective; 4.3.1.2 Selection of Indicators; 4.3.1.3 Combining the Indicators; 4.3.1.4 Validation of the Measure; 4.3.2 An EMS Preparedness Index; 4.3.2.1 Selection of Event and Perspective; 4.3.2.2 Selection of Indicators; 4.3.2.3 Combining the Indicators

4.3.2.4 Validation of the Measure4.4 Conclusion; References; Chapter 5 Military Logistics Planning in Humanitarian Relief Operations; 5.1 Introduction; 5.2 Military and the Humanitarian Relief Environment; 5.2.1 Emerging Environment Characteristics; 5.2.1.1 Volatility and Uncertainty; 5.2.1.2 Globalization; 5.2.1.3 Multinational and Public Humanitarian Environment; 5.2.1.4 Rapid Scientific and Technological Innovation; 5.2.1.5 Complex In-theatre Relief Operations; 5.2.1.6 Threat; 5.2.2 Military Involvement and Role in Humanitarian Relief Operations

5.2.3 Military and Humanitarian Relief Mission Cycles

A Decision Support System for Humanitarian Network Design and Distribution Operations -- Analytical Models for Estimating Waiting Times at a Disaster Relief Center -- Multiple Location and Routing Models in Humanitarian Logistics -- Preparedness Measures for Emergency and Disaster Response -- Military Logistics Planning in Humanitarian Relief Operations -- A Procurement Auctions-Based Framework for Coordinating Platforms in Humanitarian Logistics -- A Fuzzy Multicriteria Methodology to Manage Priorities and Resource Assignment in Critical Situations -- Logistics for Decision Support: An Application in Cases of Natural Disasters -- A Multi-agent Based Framework for Vehicle Routing in Relief Delivery Systems -- Modeling Facility Locations for Relief Logistics in Indonesia -- Humanitarian Logistics in the Great Tohoku Disasters 2011.

10.1007/978-1-4614-7007-6 [DOI]

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