Download or read book A mathematical model for resource allocation in emergency situations with the co operation of NGOs under uncertainty written by Deepshikha Sarma and published by Infinite Study. This book was released on with total page 29 pages. Available in PDF, EPUB and Kindle. Book excerpt: Several times people on the earth are aicted by the strike of unpredictable phenomena like a disaster. Although some non-governmental organization (NGO) involving in disaster relief operation, prepositioned some resources in disaster-prone areas, but it is not sucient for all times. Sometimes, due to the high intensive devastation, help for providing relief is requested to the other national or international aid. This research has introduced a mathematical model for humanitarian logistic considering two optimization criteria minimize the total cost and total time of the relief logistic operation with a collaboration of resource collection by the NGOs.

Download or read book Optimization and Learning written by Bernabé Dorronsoro and published by Springer Nature. This book was released on 2022-12-10 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th International Conference on Optimization and Learning, OLA 2022, which took place in Syracuse, Sicilia, Italy, in July 2022. The 19 full papers presented in this volume were carefully reviewed and selected from 52 submissions. The papers are organized in the following topical sections: Optimization and Learning; Novel Optimization Techniques; Logistics; and Applications.

Download or read book Innovations in Industrial Engineering written by José Machado and published by Springer Nature. This book was released on 2021-06-23 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a variety of topics in the field of industrial engineering, with a special focus on research and industrial applications aimed at both improving quality of processes and products and contributing to a sustainable economy. Based on a set of papers presented at the 1st International Conference “Innovation in Engineering”, ICIE, held in Guimarães, Portugal, on June 28–30, 2021, it focuses on innovative technologies associated with and strategies for the development of Industry 4.0. The chapters discuss new ways to improve industrial production and supply chain management by applying mathematical and computational methods. They also cover important issues relating to sustainability, education, and collaborations between industry and universities, and national developments. This book, which belongs to a three-volume set, provides engineering researchers and professionals with a timely overview and extensive information on trends and technologies behind the current and future developments of Industry 4.0.

Download or read book Emerging Trends in Decision Sciences and Business Operations written by Avinash K Shrivastava and published by Taylor & Francis. This book was released on 2022-08-29 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume analyses the rising inclusion of new and emerging technologies in business. It measures the effectiveness and challenges of these tools in various aspects of strategy and decision making within small and big businesses. Businesses in the competitive market must be agile and innovative to drive growth and the inclusion of technology and reliance on data science for decision-making is fraught with its own set of challenges. Through various case studies and analysis of trends, the book explores diverse dimensions of decision science from a micro as well as macro perspective. It examines the function, management and implementation of new technologies, like big data and AI in business operations and infrastructure highlighting their practical applications as well as the barriers to their adoption. This book will be useful to scholars and researchers of management studies, business management, financial management, business economics, international business, finance and marketing, development studies and economics. It will also interest policymakers and practitioners in the field.

Download or read book A Systematic Literature Review on Mathematical Models of Humanitarian Logistics written by Ibrahim M. Hezam and published by Infinite Study. This book was released on with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Humanitarian logistics (HL) is considered one of the most significant issues of disaster operations and management. Thus, HL operation should be viable enough to function well under the uncertain and complex nature of the disaster. Many difficulties in pre-and post-disaster phases bring both human and economic losses. Therefore, it is essential to make sure that the HL operations are designed efficiently. In the last two decades, several publications have emphasized efficient HL operations and proposed several mathematical models and algorithms to increase the efficiency of HL operations and motivated the necessity of a systematic literature review. A systematic literature review is deemed pertinent due to its transparent and detailed article searching procedure. In this study, due to the importance of the mathematical optimization model, we reviewed more than one hundred articles published between 2000 and 2020 to investigate the optimization models in the field of HL.We classified the optimization models into three main problems: facility location problems, relief distribution, and mass evacuation where each of the classified areas includes both deterministic and non-deterministic models.

Download or read book Optimization Models for Resource Allocation Under Perturbation written by Dongxue Bridgeman and published by . This book was released on 2013 with total page 104 pages. Available in PDF, EPUB and Kindle. Book excerpt: Optimization Models for Resource allocation are investing in how to make the best use of available but limited resources in order to achieve the best results. In strategic planning, resource allocation is a plan for using available resources, especially in the near future, to achieve the goals of the future. It is a process of allocating resources during the entire planning horizon and among the various units. Resource allocation plans can be decided by using mathematical programming. In this dissertation, the research has been focused on how to allocate resources in the uncertain environment. The mathematical programming formulations for the resource allocation model under severe uncertainty will be studied. In particular, we will focus on solving the stability issues of the traditional probabilistic model. We propose an approach consisting of solving a sequence of convex robust optimization models with unknown-but-bounded random variables along with the stochastic programming to pursue the allocation performance for the expected overall objective value. Our theoretical results show that the proposed approach can always obtain an equivalent or a better expected revenue with the corresponding allocation, while significantly reducing the risk under perturbations. Although this method requires solving two convex mathematical programming models, both models are solved within a timely manner thanks to their convex model instances and with effective, and less, computationally demanding algorithms. With the increasing threats from public health emergencies, such as earthquakes, tornados, pandemic flus, or terrorist attacks, high attention has been paid to the public health response to a pandemic from federal to national level, together with local health departments, and the health-care community. Various organizations cooperate with each other to strengthen the preparedness for the pandemic and disastrous emergencies, thus to improve the public health. The Strategic National Stockpile (SNS) is maintained by the Centers for Disease Control and Prevention (CDC) and the U.S. Department of Health and Human Services (DHHS) for the United States in the event of a shortage of local medical resources or other unanticipated supply problems. The SNS is the United States' national repository of antibiotics, vaccines, chemical antidotes, antitoxins, and other critical medical equipment and supplies. It has the capability to supplement or re-supply local health authorities with necessary materials for relief action within the response time in as little as 12 hours. The pilot study is done with the support of Kentucky SNS to determine the capacity allocation plan for each county in order to maximize the health benefit under various uncertainties, which can never be accurately estimated. We thereby employ a heuristic method named "resource reservation" to suggest the resource allocation plan for Kentucky SNS.

Download or read book A Multi objective Decision making Model for Resources Allocation in Humanitarian Relief written by and published by . This book was released on 2007 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis addresses the critical resource allocation in the initial days of a disaster relief operation. One of the most important and essential components of relief operations is the allocation of scarce resources to accomplish the relief efforts. Every operation for disaster relief needs various critical resources whether they are personnel, equipment, supplies, or simply finances. Several research efforts for disaster relief have suggested methods to allocate scarce resources across a variety of competing objectives and programs in a disaster relief operation. Many of those efforts focused on optimizing a mathematical programming model subject to budget constraints. However, capturing the values of the decision-maker(s) in such a model is relatively under explored. The lack of clear organizational values contributes to the inconsistency in practice and hinders effective resources allocation across the disaster relief system. The purpose of this study is to develop a multi-objective decision-making (MODM) model to incorporate the decision-maker(s) value trade-offs in the disaster relief resources allocation problem. The notional model is based on a hurricane and flood scenario and the decision window for the resource allocation is the critical first 72 hours after the initial damage assessment has been made. The value focused thinking (VFT) process is used to capture the value trade-offs and the resulting value hierarchy is optimized via a mathematical programming model to solve the multi-objective resource allocation problem.

Download or read book Comparative Investigation of Mathematical Models for Resource Allocation in an Organization written by Wayne J. Davis and published by . This book was released on 1981 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book A Comparative Investigation of Mathematical Models for Resource Allocation in an Organization written by Wayne J. Davis and published by . This book was released on 1981 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Multi stage Resource Allocation Under Uncertainty written by G. Calafiore and published by . This book was released on 2003 with total page 21 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Modeling and Simulating the Network Behavior of Agencies During Disaster Relief Operations written by John B. Coles and published by . This book was released on 2014 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: The objective of this dissertation is to advance the study of disaster response and recovery (generally, disaster relief) by providing insight and tools to agencies that work in disaster relief. In disaster relief, resources such as time, money, and personnel are essential to the success of the effort and must be closely guarded and wisely invested. As the scale of the disaster increases (e. g. , amount of need), so does the number of agencies, the amount of money, and the number of volunteers. As people and resources converge onto a community impacted by a disaster, the problems of partnership management and coordination become increasingly complicated. This dissertation explores some of the common challenges of interagency coordination and looks at how game theory, network analysis, and agent-based simulation/optimization can provide insight and solutions for people and agencies working to help disaster survivors. This dissertation was developed in response to countless hours working alongside and talking with emergency managers and aid workers who wanted tools that could help them determine with greater accuracy the amount of resources and types of partnerships that are worth investing in following a disaster or extreme event. The recent earthquakes in Japan, Chili, China, and Haiti, as well as the ongoing preparation for similar earthquakes in the New Madrid Seismic Zone in the U. S. , make it imperative to increase our understanding of interagency dynamics after a disaster. This dissertation explores the development of a model that will support statistical analysis of agency behavior in a network during response operations around the world. Some of the key advances presented in the dissertation are: (a) An optimization model that explores the concept of resource allocation in a disaster relief environment using the International Federation of Red Cross and Red Crescent Society's Code of Conduct; (b) A game theory-based model for partner selection in the presence of uncertainty; and (c) An interagency network simulation engine called DRAMAS (Disaster Response Agent-based network Management and Adaptation System) developed based on current disaster relief literature, hands-on experience, and the results of interviews and experiments in disaster operations. Preliminary results of this work has been presented at conferences and published in peer-reviewed journals over the last five years. Research partnerships with disaster relief organizations around the world have yielded high quality data about decision making in disaster environments, and have proved to be an excellent avenue for the dissemination of research findings. Data from interviews and experiments have provided the mechanics of DRAMAS for how agencies interact during disaster relief operations, and is designed to be scaled to a variety of different scenarios. Work in partnership selection and behavior has yielded the publication of three papers in peer-reviewed journals, several working papers on data collected after disasters, and insight into the mechanics of the interagency partner selection and resource allocation process. Finally, work in the area of network behavior has provided interesting insights and new tools for data collection, analysis, and dissemination. This work is built on extensive research of disaster management and provides a comprehensive analysis of agency posturing following an extreme event. The DRAMAS model uses game theory and stochastic processes to explore the complex interactions between relief agencies of different sizes and capabilities. The decision models in Chapters 3-5, and the DRAMAS simulation environment provide an excellent testing ground for hypotheses regarding relief agency partnerships, goals, roles, and prior involvement, by providing a depiction of the change in agency partnerships and resource investments following a disaster. The goal of this research is to expand the current body of knowledge and examine the fundamental principles of agency success during relief operations. Results from this work provide a path for improving our understanding of interagency partnerships and interaction, and could provide new insights into the behavior of agency networks in response to a disaster.

Download or read book Resource Allocation Under Uncertainty written by F. H.. Trinkl and published by . This book was released on 1973 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Relief Supply Chain Management for Disasters written by Gyongyi Kovacs and published by . This book was released on 2012 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book furthers the scholarly understanding of SCM in disaster relief, particularly establishing the central role of logistics in averting and limiting unnecessary hardships"--Provided by publisher.

Download or read book The Nongovernmental Sector in Disaster Resilience written by and published by . This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nongovernmental organizations (NGOs) are instrumental in communities' resilience to natural and man-made disasters. But, despite national progress, the plans and processes for their involvement are not well-defined. This report summarizes three interrelated conference sessions that RAND researchers convened during the Louisiana Association of Nonprofit Organizations annual conference in August 2010. The purpose of the three sessions was to generate a national policy agenda that summarizes the challenges to involving NGOs in disaster response and recovery and to identify potential policy and program recommendations to address these challenges, with a specific emphasis on two types of populations, which were most in need after recent disasters: displaced and returning individuals and individuals with mental health needs. Panelists and conference attendees were asked to identify recommendations that would assist NGO involvement in disaster response and recovery. Those recommendations were then summarized by RAND researchers and were categorized into five areas: defining and formalizing roles for NGOs, structure and integration of governmental and nongovernmental organizations in common plans, information sharing, service capacity, and resource allocation. Based on the conference discussion, this report also contains RAND recommendations for future research to inform implementation of the policy agenda.

Download or read book The Determination of Resource Allocations and the Formation of Decision Sets for Disaster Situations as Studied Through Simulation written by Robert William Lawless and published by . This book was released on 1968 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Emergency Disaster Relief Supply Modeling written by Eugene Lawer Tettey-Fio and published by . This book was released on 1996 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Humanitarian Logistics written by R. Tomasini and published by Springer. This book was released on 2009-02-19 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: Imagine planning an event like the Olympics. Now imagine planning the same event but not knowing when or where it will take place, or how many will attend. This is what humanitarian logisticians are up against. Oversights result in serious consequences for the victims of disasters. So they have to get it right, fast.