Request and Response Processes for Department of Defense Support during Domestic Disasters

Apte, Aruna; Heath, Susan K.

doi:10.2202/1547-7355.1824

Cited by 6 publications

(8 citation statements)

References 1 publication

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“…The objective of this thesis is to develop a novel algorithm solution to solve the complex Overburdened Vehicle Routing Problem (OB-VRP) first formulated in Apte and Heath (2011). The OB-VRP can be construed as an assisted evacuation problem in the context of a short-notice disaster, where the aim is to help government officials provide aid to citizens who cannot self-evacuate, due to lack of private transportation means or disability.…”

Section: Discussionmentioning

confidence: 99%

“…Firstly, it tackles the complex OB-VRP first identified and formulated in Apte and Heath (2011), for which, to the authors' knowledge, a solution has yet to appear in literature. The proposed solution determines the evacuation routes, vehicle loads, and vehicle route-tour schedule (when to evacuate with which vehicle carrying how much load via which route on which tour).…”

Section: B Thesis Contribution and Research Objectivesmentioning

confidence: 99%

“…The methodological survey examines the VRP family and discusses general solutions approaches, including exact, heuristic and meta-heuristic approaches. Chapter III describes and formally defines the OB-VRP as a graph theoretic model, before providing a linear mixed integer formulation first presented in Apte and Heath (2011). Chapter IV lays out the proposed solution approach.…”

Section: Organization Of Thesismentioning

confidence: 99%

“…while Section C provides a linear mixed integer formulation first presented in Apte and Heath (2011).…”

Section: Problem Definition and Model Formulationmentioning

confidence: 99%

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Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster

Pico¹,

Tan²

2012

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to ABSTRACT (maximum 200 words)As Humanitarian Assistance and Disaster Relief (HADR) operations gain importance, a number of problems become evident. The time-sensitive problem of evacuating non-ambulatory people from a disaster area proves to be a challenging combinatorial optimization problem. The scope of the problem is defined by drawing analogies to similar vehicle routing problems that have been previously addressed. Based on the basic Max-Min Ant System (MMAS) algorithm modeled after the behavior of ants seeking food, potential solution approaches to this problem are enhanced to improve quality and efficiency by hybridizing features such as a best solution list, elite ants, ranked contribution system, and heuristic procedures during route construction. Using a Nearly-Orthogonal Latin Hypercubes (NOLH) experimental design, the algorithm parameters are tuned for best empirical performance for a range of test scenarios. SUBJECT TERMS HEURISTICS FOR SOLVING PROBLEM OF EVACUATING NON-AMBULATORY PEOPLE IN A SHORT-NOTICE DISASTER

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Section: Discussionmentioning

confidence: 99%

Section: B Thesis Contribution and Research Objectivesmentioning

confidence: 99%

Section: Organization Of Thesismentioning

confidence: 99%

“…while Section C provides a linear mixed integer formulation first presented in Apte and Heath (2011).…”

Section: Problem Definition and Model Formulationmentioning

confidence: 99%

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Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster

Pico¹,

Tan²

2012

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“…Response to a sudden-onset humanitarian crisis often involves a request for the military to deliver critical materiel and services to enable, augment, or expand the scope of assistance rendered by NMOs and NGOs (Apte & Heath, 2011). On January 12, 2010, a 7.0-magnitude earthquake struck Haiti.…”

mentioning

confidence: 99%

Capabilities and competencies in humanitarian operations

Apte,

Gonçalves,

Yoho

2016

Journal of Humanitarian Logistics and Supply Chain Management

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This research explores the core capabilities of the U.S. military as well as of non-military organizations through the lens of the disaster response life cycle.Disasters and war share several attributes, such as the presence of displaced, injured, and vulnerable persons and the need for functioning infrastructure and life support through the distribution of emergency supplies and services. Both the U.S.military and non-military organizations bring assets, skills, and capabilities to a humanitarian crisis; however, the competencies and capacities of each are far from homogeneous. Identification of the specific competencies and capabilities that are core to the types of organizations bringing logistics and support to a crisis can enable better planning by both military and non-military organizations such that greater effectiveness and efficiency in the humanitarian response are achieved.Keywords: competencies and capabilities, U.S. military, non-governmental organizations, humanitarian assistance, disaster relief, HADR She has over 20 years of experience teaching operations management, operations research, and mathematics courses at the undergraduate and graduate levels. At NPS, she teaches mathematical modeling, for which she won the best teacher award, and she has advised over 70 students for over 30 MBA/master's reports, out of which several students have worked and more are working in humanitarian logistics. She has also advised emergency planners in preparing for disaster response. She is the founding and current president for a new college (focus group) in humanitarian operations and crisis management under the flagship academic professional society in her intellectual area of study, the Production and Operations

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Evacuating People with Mobility‐Challenges in a Short‐Notice Disaster

et al. 2015

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In past disasters, arrangements have been made to evacuate people without their own transportation, requiring them to gather at select locations to be evacuated. Unfortunately, this type of plan does not help those people who are unable to move themselves to the designated meeting locations. In the United States, according to the Post‐Katrina Emergency Management Reform Act of 2006, state or local governments have the responsibility to coordinate evacuation plans for all populations. These include those with disabilities. However, few, if any, have plans in place for those who are mobility‐challenged. The problem of evacuating mobility‐challenged people from their individual locations in a short‐notice disaster is a challenging combinatorial optimization problem. In order to develop the model and select a solution approach, we surveyed related literature. Based on our review, we formulate the problem and develop an Ant Colony Optimization (ACO) algorithm to solve it. We then test two different versions of the ACO algorithm on five stylized datasets with several different parameter settings.

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Request and Response Processes for Department of Defense Support during Domestic Disasters

Cited by 6 publications

References 1 publication

Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster

Heuristics for Solving Problem of Evacuating Non-Ambulatory People in a Short-Notice Disaster

Capabilities and competencies in humanitarian operations

Evacuating People with Mobility‐Challenges in a Short‐Notice Disaster

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