This research is aimed at developing the method for efficiently using the water in irrigation schemes in semi-arid regions. These irrigation schemes are often short of water to irrigate entire culturable command area (CCA) with maximum water requirement of different crops and are characterised with different weather patterns, soils and the possibility to grow several crops. The CCA of these schemes is also large with several users or units, each having different characteristics. The previous research in this field was mostly either on optimum allocation of the resources considering the irrigation scheme as a whole or on evaluating the performance of the irrigation scheme for certain irrigation schedules for different units in the scheme. However in such schemes optimum allocation of resources (land and water) to different crops and their distribution over different units is important (optimum allocation plan, OAP). In the present study, the method and a computer model are developed to prepare OAPs for these irrigation schemes under rotational water supply, by incorporating the concepts of deficit irrigation and productivity and equity in the optimisation process. The previous research stressed the importance of equity observed in different ways but seldom adopted in optimum allocation of resources. Therefore this method includes the preparation of OAPs while observing equity in allocation of land and water resources and distribution of crop production and net benefits. The developed model, Area and Water Allocation Model (A WAM), consists of four phases each one for generating irrigation strategies, preparing irrigation programme for each irrigation strategy, screening irrigation programmes and allocating resources optimally to different crops in different units. The A W AM estimates the irrigation water requirement, crop yield and net benefits by simulating the various process in the irrigation scheme, produces the OAPs at preseason planning with different scenarios of productivity and equity and management options, develops the steady OAP by considering the temporal variability in the weather and modifies the allocation plan optimally during the intraseasonal operation of the irrigation scheme. A W AM operates in seven different modes to achieve this. These are simulation, calibration, generation, optimisation, planning, operation and evaluation. The A W AM was applied to Nazare Medium Irrigation Project (medium lmgation scheme) in semi-arid region of Maharashtra State, India to evaluate the existing practice of irrigation (fixed depth irrigation), full depth irrigation and deficit irrigation for obtaining the OAPs. The practice of deficit irrigation was found to be beneficial over the existing approach and full depth irrigation. The OAPs at preseason planning are obtained for several alternatives and compared. The OAPs were obtained for different equity criteria. The productivity and equity were found to be inversely related. The method is proposed to obtain the stable OAP with A WAM by considering several years' data. The present research contributes towards efficient utilisation of water in the irrigation scheme by incorporating the deficit irrigation and productivity and equity in obtaining OAPs, developing the methods to obtain the steady OAP and modifying the allocation plan optimally during the intraseasonal operation of the irrigation scheme.

<p>In this work we examine a state constrained resource allocation model a with finite time horizon. Therefore, we use the necessary conditions of the Pontrjagin's Maximum Principle to find candidates for the solution and verify them later on using the sufficient conditions given by the duality concept of Klötzler. Moreover, we proof that the solution of the corresponding infinite horizon model does not fulfill the overtaking criterion of Weizsäcker.</p>

In this work we examine a state constrained resource allocation model a with finite time horizon. Therefore, we use the necessary conditions of the Pontrjagin's Maximum Principle to find candidates for the solution and verify them later on using the sufficient conditions given by the duality concept of Klötzler. Moreover, we proof that the solution of the corresponding infinite horizon model does not fulfill the overtaking criterion of Weizsäcker.

The goal of the diploma thesis is to create allocation model for Miss Sport project. This project is a platform, which allows effective association of sponsors and female athletes, who are members of the project. It results in decision tree, whose biggest advantage is in transparency and rate of decision making. One of the objectives is to analyze most important criteria, which are necessary to segment female athletes. One part is a list of aspects, which are important to sponsorship, but they are not included in allocation model directly. Research target is focused on evaluation of attractiveness of female athletes as one of the criteria, which are important for potential sponsors.

Australian universities are multi-million dollar operations employing tens of thousands of people. They attract revenue from a variety of government and non-government sources, and yet, as non-profit organisations they are judged by governments, peers and their communities on their performance in teaching and research rather than on a financial bottom line. In order to achieve these results, university managers must make decisions on how to allocate available funding throughout the university. Faced with competing demands on scarce funds, how do university managers make these choices? One option is to use a resource allocation model to 'crunch the numbers'. Resource allocation models can incorporate a number of elements - student and staff numbers, weightings and performance data, for example - to allocate available funds. These allocation models are used in different ways in different universities, but serve the same basic purpose of assisting decision-making on how much to allocate to different sections of the organisation. Such models operate within a process and context that includes the strategic aims of the University, the organisation structure, its committees and culture. This thesis contains case studies of resource allocation models and processes used in three Australian universities. It examines the methods used for resource allocation at the first and second levels within each university; that is, from the Vice-Chancellor to Dean (or equivalent), and from Dean to Head of School (or equivalent). Observations and conclusions are drawn on the models used, the processes surrounding the models, and the continuity between the two layers of allocations. The research finds all the case-study universities operate models at multiple levels in their organisations, and that there is a concerning lack of consistency and flow-through at these different levels. The messages that the university leadership intends to send through the allocations may be lost to managers one-process removed from them. The research also concludes that transparency is the most important element of the resource allocation process. University staff dealing with allocation processes will accept the results, even if they are not ideal, if they can understand how and why decisions were made. As a professional doctorate thesis, the aim is to provide a practical aid to people with responsibility for resource allocation in universities.

This study provided the first direct test of the cognitive underpinnings of the attention-allocation model and attempted to replicate and extend past behavioral findings for this model as an explanation for alcohol-related aggression. Men were randomly assigned to a beverage (Alcohol, No-Alcohol Control) and a distraction (Moderate Distraction, No Distraction) condition. All men were provoked by a male confederate and completed a dot probe task and a laboratory aggression task without distraction or while presented with a moderate distraction task. Results indicated that intoxicated men whose attention was distracted displayed significantly lower levels of aggression bias and enacted significantly less physical aggression than intoxicated men whose attention was not distracted. However, aggression bias did not account for the lower levels of alcohol-related aggression in the distraction, relative to the no-distraction, condition. Discussion focused on how these data inform intervention programming for alcohol-related aggression.

Prior to the passage of the 1997 Kentucky Postsecondary Education Reform Act, postsecondary education in Kentucky was governed by the Council on Higher Education. The council was responsible for overseeing the educational activities of the University of Kentucky, the University of Louisville, Morehead State University, Northern Kentucky University, Eastern Kentucky University, Western Kentucky University, Murray State University, and Kentucky State University. At that time, 2-year postsecondary education was segmented among 14 public community colleges under the control of the University of Kentucky’s Community College System and 15 state vocational–technical schools known as Kentucky Tech, under the administration of the Workforce Development Cabinet. With the passage of HB 1, the Council on Higher Education was replaced by the Council on Postsecondary Education, and the Kentucky Community and Technical College System was created, combining the 14 community colleges and 15 vocational– technical schools. This research examines the development and implementation of a funding model for the Kentucky Community and Technical College System (KCTCS), from its inception in 1998 through its 10th anniversary in 2008. This examination reviews and analyzes the funding of KCTCS from its formation in 1997, until a new funding model was implemented at the beginning of the 2003–2004 fiscal year. The study then compares the funding of the 16 colleges of KCTCS prior to and after the implementation of the new equity funding model, to determine if the model was successful in providing a more equitable method of public funds allocation. This study utilizes two methodological approaches, the first being a comparative analysis of KCTCS and its 16 colleges’ funding for a period of 10 years and the second being a qualitative analysis of historical data interviews obtained from 8 key individuals who were directly affected by the passage of the 1997 Kentucky Postsecondary Education Improvement Act. The findings of this study detail the development of a new KCTCS equity funding model and show that when new appropriations were distributed utilizing the new model, the gap in funding inequities between the highest funded and the lowest funded colleges showed significant compression.

Managing workload allocation to ensure fairness and equity amongst staff can be a challenge in any organisation and managing the workload allocation of autonomy seeking academic staff in a business school can be even more so. In this study, the researcher aimed to review a recently designed and implemented academic workload allocation model in a South African business school in order to establish whether the model and implementation system has been successful in contributing to actual and perceived fairness and equity in workload distribution amongst their academic staff. The researcher did this by using a sequential exploratory mixed methods approach, first reviewing documentary evidence, which informed the design of an online survey with the academic staff, followed by semi-structured interviews with a sample group. The study reveals that the model, and the way it was implemented and managed, failed to achieve its intended aims of increased equitable and fair workloads amongst academic staff. These implementation failures have resulted in negative consequences for the organisational culture. Staff satisfaction and engagement with the model, its implementation and management does not present positively in the findings of this study. In the South African context where there are very few studies related to academic workload allocation models, the results of this study may be valuable for higher education institutions considering the introduction or review of workload models amongst their academic staff. The study highlights the importance of an inclusive and careful design approach, change management considerations during the implementation phase, and the transparent management of the workload allocation process and results.

Black-Litterman är en allokeringsmodell som gör det möjligt att förena historiska avkastningar med personliga övertygelser om framtida avkastningar från en enskild investerare. Denna studie jämför två kvantitativa metoder i framtagande av felskattningen för framtida prognoser i syfte att kunna minska Black-Littermans subjektivitet. Tidigare litteratur har testat dessa metoder enskilt men aldrig ställt dem mot varandra. De metoder som undersöks använder varianser proportionella mot varianser i marknadsjämvikten, samt varianser från residualer i en faktormodel. Resultatet visar att tillämpandet av varianser framtagna av en GARCH (1,1)-modell är den metod som genererar högst avkastning, samt ger upphov till en fördelning av tillgångar som bidrar till lägst marknadskänslighet. Utifrån denna studie rekommenderas därmed tillämpningen av varianser från residualer i en faktormodel som tillägg för att minska modellens godtycklighet. / The Black-Litterman allocation model unifies historical returns with investor personal views of future returns. The study compares two quantitative methods for the estimation of uncertainty in future views with the goal to mitigate the subjectivity of the Black-Litterman model. Previous literature have investigated and tested these methods independently but a comparison has never been made between them. The two methods consist of using variances in proportion to the variances of market equilibrium and operating the residual variance of a factor model. Results show that the usage of variances estimated by a GARCH (1,1) will generate the highest average returns with an allocation distribution that contributes to least market sensitivity. Furthermore, the study recommends the implementation of variances from residuals with the addition of a factor model to diminish the subjectivity of the Black-Litterman model.

This paper consolidates and compares the applicability and practicality of Black-Litterman model versus traditional Markowitz Mean-Variance model. Although well-known model such as Mean-Variance is academically sound and popular, it is rarely used among asset managers due to its deficiencies. To put the discussion into context we shed light on the improvement made by Fisher Black and Robert Litterman by putting the performance and practicality of both Black- Litterman and Markowitz Mean-Variance models into test. We will illustrate detailed mathematical derivations of how the models are constructed and bring clarity and profound understanding of the intuition behind the models. We generate two different portfolios, composing data from 10-Swedish equities over the course of 10-year period and respectively select 30-days Swedish Treasury Bill as a risk-free rate. The resulting portfolios orientate our discussion towards the better comparison of the performance and applicability of these two models and we will theoretically and geometrically illustrate the differences. Finally, based on extracted results of the performance of both models we demonstrate the superiority and practicality of Black-Litterman model, which in our particular case outperform traditional Mean- Variance model.