The Impact of Demographic Change on the Accessibility to Public Services for the Elderly on Children of Hannover, Germany

Late in 2009, the German government conducted an exercise to determine population trends for the next 50 years. This study indicated that the German population, which is approximately 82 million, is expected to decrease by 12 to 17 million people as well as experience a significant shift in its demographic profile (Statitistisches Bundesamt, 2009). The most significant finding from this exercise is the projection for a shift in the share of senior citizens and children with respect to the economically active population; children and seniors are expected to account for half of the entire population of Germany, whereas they currently only represent 40%. Additionally, the ratio of senior citizens to children is expected to increase to 2:1 by the year 2040, indicating a trend towards an ageing population. With this expected declining population and changes in the age pyramid, a renewed focus on planning for future investments has been initiated with an eye on effective and efficient resource allocation of social services

AIR CREW TRAINING, HUMAN FACTORS AND REORGANIZING IN CASE OF IRREGULARITIES

Human resource is more and more important nowadays among the resources of a company, because output and level of services can be increased, specific cost can be reduced, and the efficiency can be better with a relative little investment in human resources. It is an important issue also according to air transport safety, since 60\% of flight accidents are because of crew errors. Human resource management includes every exercise concerning the personnel; the most important issues are procurement of suitable staff, and optimal allocation among the works. Assignment of the crew must meet several requirements. The initial optimal allocation may change by carrying out the schedule, because flights are often not performed as planned. If this happens, crew must be also re-allocated, causing as little interruption as possible

A Methodology to Assess the Air Force Materiel Command\u27s Exercise Support Program\u27s Weighting Scheme

This research performs analysis on the Air Force Materiel Command\u27s Exercise Support Program\u27s Weighting Scheme so that decision makers can create a more efficient and effective Resource Allocation - Integrated Process Team (RA-IPT) manpower allocation process. A linear programming (LP) model was derived from the Exercise Support Program (ESP) to assign manpower reductions throughout the Mission Element Board (MEB) organizational level in AFMC. Parametric analysis was performed on the LP model by simultaneously changing multiple objective function coefficients with the use of various direction vectors. These direction vectors were applied with the use of an incrementally increasing scalar step size and initiated from two initial states of objective function coefficient values. Throughout the analysis, multiple bounds on the LP model\u27s constraints and different scalar step sizes were applied. Results of the analysis indicated that there were specific situations in which changes in the relative weighting scheme did effect manpower allocations to the MEBs. These results also indicated that this analysis, along with the ESP model, could allow the decision makers in the RA-IPT to become more efficient in their manpower allocation process

Cloud Asset Pricing Tree (CAPT) Elastic Economic Model for Cloud Service Providers

Cloud providers are incorporating novel techniques to cope with prospective aspects of trading like resource allocation over future demands and its pricing elasticity that was not foreseen before. To leverage the pricing elasticity of upcoming demand and supply, we employ financial option theory (future contracts) as a mechanism to alleviate the risk in resource allocation over future demands. This study introduces a novel Cloud Asset Pricing Tree (CAPT) model that finds the optimal premium price of the Cloud federation options efficiently. Providers will benefit by this model to make decisions when to buy options in advance and when to exercise them to achieve more economies of scale. The CAPT model adapts its structure to address the price elasticity concerns and makes the demand, price inelastic and the supply, price elastic. Our empirical evidences suggest that using the CAPT model, exploits the Cloud market potential as an opportunity for more resource utilization and future capacity planning.

Design and Logistics for a LAN Management Course

This paper outlines an implementation for a hands-on Local Area Network (LAN) management course in the undergraduate curriculum of a department of Information Systems. Three major problems are addressed: faculty preparation, resource allocation, and course design/logistics. There are special difficulties in designing such a course because of the hardware preparation involved and the assignment of supervisor rights to a large number of students simultaneously for a single file server. A course outline and a sample practical exercise are given. This course has been successfully implemented and received a favorable student response

Strategic policy advice: group-based processes as a tool to support policymaking

This deliverable is about the group discussions (STAVE trials) that have been carried out in the partner countries of project PACHELBEL on various substantive policy issues in the field of sustainability. It focuses on the methods that have been used to interact with lay citizens in the STAVE groups, and on the feedback that has been provided to policy makers on findings from the groups. Building upon these elaborations, conclusions will be drawn as to STAVE as a policy tool. Furthermore, this deliverable provides key features of STAVE groups on a country-by-country basis

Market power in an exhaustible resource market : the case of storable pollution permits

Motivated by the structure of existing pollution permit markets, we study the equilibrium path that results from allocating an initial stock of storable permits to an agent, or a group of agents, in a position to exercise market power. A large seller of permits exercises market power no differently than a large supplier of an exhaustible resource. However, whenever the large agent’s endowment falls short of its efficient endowment —allocation profile that would exactly cover its emissions along the perfectly competitive path — market power is greatly mitigated by a commitment problem, much like in a durable-good monopoly. We illustrate our theory with two applications: the U.S. sulfur market and the global carbon market that may eventually develop beyond the Kyoto Protocol

2009-10 statistics derived from ILR data for the monitoring and allocation of funding in FECs

"This document describes: how we used 2009-10 Data Service learner data to inform 2011-12 funding allocations how we used 2009-10 learner data to monitor returns made to HEFCE the responses required from colleges to these monitoring processes." - Page 2

Attributes and weights in health care priority setting: a systematic review of what counts and to what extent

In most societies resources are insufficient to provide everyone with all the health care they want. In practice, this means that some people are given priority over others. On what basis should priority be given? In this paper we are interested in the general public's views on this question. We set out to synthesis what the literature has found as a whole regarding which attributes or factors the general public think should count in priority setting and what weight they should receive. A systematic review was undertaken (in August 2014) to address these questions based on empirical studies that elicited stated preferences from the general public. Sixty four studies, applying eight methods, spanning five continents met the inclusion criteria. Discrete Choice Experiment (DCE) and Person Trade-off (PTO) were the most popular standard methods for preference elicitation, but only 34% of all studies calculated distributional weights, mainly using PTO. While there is heterogeneity, results suggest the young are favoured over the old, the more severely ill are favoured over the less severely ill, and people with self-induced illness or high socioeconomic status tend to receive lower priority. In those studies that considered health gain, larger gain is universally preferred, but at a diminishing rate. Evidence from the small number of studies that explored preferences over different components of health gain suggests life extension is favoured over quality of life enhancement; however this may be reversed at the end of life. The majority of studies that investigated end of life care found weak/no support for providing a premium for such care. The review highlights considerable heterogeneity in both methods and results. Further methodological work is needed to achieve the goal of deriving robust distributional weights for use in health care priority setting.12 page(s