Oct 27, 2015 - ACTIVE LEARNING ASSIGNMENT ON disaster management.

From an academic point of view, the resource allocation issues noted above may be conceptualized as a resource-constrained scheduling problem, and will be referred to in this paper as the disaster response (and recovery) scheduling problem, or DRSP. The DRSP can be classified as a complex variation of the multiple resource-constrained project scheduling problem (or MRCPSP), simultaneously addressing both scheduling and assignment issues (see Section for a detailed discussion). This paper proposes an efficient algorithm to solve the DRSP within the imposing deadlines that disaster management requires—indeed, a major contribution of this paper is the introduction of modeling and solution methods that enable near-real time solutions. This ability to deal simultaneously with scheduling and assignment in near-real time allows managers to re-solve a particular response or recovery problem as conditions at the scene change.

Consultancy assignment: Disaster Management Consultant

Subject: Submission of assignment on “role of NGOs in disaster management In Bangladesh”
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Assignment on Disaster Management Focus on Earthquake and Fire (1)

As seen by previous work done in this area, disaster management is complex in that managers must assign specific personnel and resources to multiple locations and tasks. For instance, although ambulance crews, fire crews, police, SWAT teams, and the bomb squad all have basic first responder skills, each has specific specialty skills and specialized equipment that are most useful (or required) at a certain point in the disaster management effort. This type of complexity suggests the DRSP is a form of the multiple resource-constrained project scheduling set of problems, and occurs when personnel can perform the various tasks of assorted projects with differing time and cost requirements (Brucker et al. ). MRCPSP problems are subject to a multitude of operational constraints, such as workload and labor requirements, safety issues, logistics and equipment availability, which are subject to precedence constraints and ultimately will be associated with specific time-periods (Drexl ). As was seen in the response to Hurricane Katrina, in real-world situations task/personnel assignments are often made in an unstructured manner, usually without the aid of sophisticated software. The end result is a disjointed response that often results in increased delays and higher casualties. Thus, we see a need for using MRCPSP-related models in disaster management.

Consultancy Assignment: Disaster Management Consultant, P ..

Years after that, HOT was focusing more on training local disaster management agencies (BPBD) in several disaster prone provinces. The exposure data collection was still our main focus to feed into InaSAFE system for disaster impact calculation. During that year, we met a very eager lecturer from Hasanuddin University in South Sulawesi. We finally did an extra training in the university and trained 15 students. A few weeks after that, the map of Makassar city was very well mapped as the lecturer started giving more students trainings and assignments to do mapping. The map created by the students was very detailed it was then used by the city disaster management agency to create a flood contingency plan in the following year. HOT saw this as an opportunity, then we developed a program called the University Roadshow in 2014-2015 where we trained students in 13 universities all over Indonesia which conveyed their interest.

Dec 16, 2012 - Consultancy Assignment: Disaster Management Consultant, P-4, Geneva
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Disaster management ppt VIII and IX class social project - SlideShare

Disaster response and recovery are crucial phases of disaster management. Decision-support systems used in disaster management must cope with the complexity and uncertainty involved with the scheduling and assignment of differentially-skilled personnel and assets to specific tasks. Operational constraints—such as workload and labor requirements, precedence constraints, resource availability, and critical deadlines among others—make timely and appropriate task assignment and sequencing difficult. Failure to assign personnel in an efficient and effective manner may result in unnecessary fatalities and significant additional loss of property as well as damaging the reputation of the disaster management organizations. Therefore, this paper proposes a decision-support system for disaster response and recovery using hybrid meta-heuristics.

Disaster Management - SlideShare

The early disaster management research utilizing management science tools focused on the location of emergency service facilities and equipment (Toregas et al. ; Kolesar and Blum ; Carter and Ignall ; Kolesar and Walker ). For example, Kolesar and Walker () proposed a mathematical programming model and an associated heuristic algorithm to address the location of fire trucks in New York City. Going a step further, Brown and Vassiliou () developed a decision support system that addressed methods for assigning tasks in a post-disaster relief effort. However, a critical element in disaster response and recovery is the need for appropriate sequencing (e.g. the need for a hazardous materials team to neutralize a chemical spill before allowing emergency medical teams to assist the injured), as well as recognizing the constraint of scarce resources. In this paper, we add the consideration of time-periodic scheduling of assignments, rather than just assigning people to tasks, which recognizes precedence as well as scarcity.

Disaster management project - SlideShare

The truth is that many of those who are currently in the field of disaster management do not have degrees. Many of these professionals “fell” into it by virtue of being in a related profession such as police and fire sciences. Since these and many others are closely related occupations, these people entered the disaster management professions as part of an assignment from their usual occupations. From there, often accompanied by a few specialized courses, disaster management became their primary function.