Thesis (M.S. in Management)--Naval Postgraduate School, December 1990. / Thesis Advisor(s): Gates, William. Second Reader: Doyle, Richard. "December 1990." Description based on title screen as viewed on April 2, 2010. DTIC Identifier(s): NATO, Defense Planning, Industrial Production, Economics, Burden Sharing, Defense Industries, Sharing, Costs, Military Forces (Foreign), Military Forces (United States), Military Equipment, Mathematical Models, Military Reserves, Industrial Capacity. Author(s) subject terms: Burden-sharing, NATO. Includes bibliographical references (p. 75-80). Also available in print.

Made available in DSpace on 2014-12-17T14:53:15Z (GMT). No. of bitstreams: 1 AntonioRAM_DISSERT.pdf: 4031377 bytes, checksum: f586d0a4b0cb27f132711521104ada96 (MD5) Previous issue date: 2013-03-19 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / The importance of the airport sector in the development of a country refers to the need for studies on management of airports, to aid the process of decision making. In Brazil, growth in passenger demand is why investments in order to balance the capacity of an airport with air demand. Thus, the study aims to develop a model for Dynamic Systems able to assist airport management in Brazilian sizing subsystems an airport (Passenger Terminal, Runway and Patio). The methodology of this work consists in the steps of defining the problem, formulating the hypothesis dynamic building simulation model, and validation experiments. Finally, we examined the status of each subsystem in thirteen Brazilian airports in scenarios current, most likely and optimistic for air passenger demand / A import?ncia do setor a?reo no desenvolvimento de um pa?s nos remete a necessidade da realiza??o de estudos sobre gerenciamento de aeroportos, visando auxiliar o processo de tomada de decis?es. No Brasil, o crescimento da demanda de passageiros ? motivo de investimentos com intuito de equilibrar a capacidade de um aeroporto com a demanda a?rea. Diante disso, o trabalho tem como objetivo desenvolver um modelo em Din?mica dos Sistemas capaz de auxiliar a gest?o aeroportu?ria brasileira no dimensionamento dos subsistemas de um aeroporto (Terminal de Passageiros, Pista e P?tio). A metodologia do trabalho consistiu nas etapas de defini??o do problema, formula??o da hip?tese din?mica, constru??o do modelo de simula??o, valida??o e experimentos. Por fim, analisou a situa??o de cada subsistema em treze aeroportos brasileiros nos cen?rios atual, mais prov?vel e otimista para a demanda a?rea de passageiros

Big data applications have become increasingly popular with the emerge of cloud computing and the explosion of artificial intelligence. Hence, the increasing adoption of data-hungry machines and services is driving the need for more power to keep the datacenters of the world running. It has become crucial for large IT companies such as Google, Facebook, Amazon etc. to monitor the energy efficiency of their datacenters’ facilities and take actions on optimization of these heavy consumers of electricity. This master thesis work proposes several predictive models to forecast PUE (Power Usage Effectiveness), regarded as the industry-de-facto metric for measuring datacenter’s IT power efficiency. This approach is a novel capacity management technique to predict and monitor the environment in order to prevent future disastrous events, which are strictly unacceptable in datacenter’s business.

Hospital systems in the United States are facing a dilemma regarding capacity management in the emergency department (ED) and the inpatient care setting. The average wait time in EDs across the United States exceeds 98 minutes, which is also the point at which patients begin to abandon healthcare treatment. The purpose of this quantitative study was to examine the use of queueing theory in capacity management on length-of-stay (LOS) rates, left-without-being-seen (LWBS) rates, and boarding rates in the ED and inpatient setting. The boarding rates represent the rate in which patients were roomed in the ED but required inpatient care. This study assessed the relationships between capacity management using queueing theory and a reduction in the aforementioned rates compared to traditional processes across systems within the continental United States. A linear regression analysis with a confidence interval 95% paired with an independent sample t test was used to analyze the secondary datasets. A sample size of approximately 33,000 patients was tested in the areas of LOS, LWBS, and boarding. The results of the analysis determined that access was improved in the ED and inpatient setting when queueing theory was deployed within the hospital system compared to traditional processes for managing capacity within the system. Queuing theory used for capacity management resulted in lower LOS, LWBS, and boarding rates. The implications of this study for positive social change include the opportunity to provide greater access to care for the population as a whole, and better health outcomes for the promotion of population health.

National Department of Sport and Recreation South Africa (SRSA), as outlined in their National Sport and Recreation Plan (NSRP) and the South African White Paper on Sport and Recreation focuses on three pillars namely, 1) an active nation; 2) a winning nation and 3) an enabling environment. The need for sport and recreation facilities is further emphasised in Priority Two of the South African White Paper on Sport and Recreation. This priority focuses specifically on the provision of sport and recreation facilities and states that the challenge in the provision of facilities is not simply about a shortage, but also the location of the facilities as well as the effective management thereof. Local government has the responsibility of providing an enabling environment through the provision of existing sports and recreation facilities and building of new facilities. Effective sport and recreation provision relies on the effective management of these facilities (SRSA, 2012). Facility Managers need various administrative skills in order to operate facilities efficiently and effectively. The coordination of these management principles and standard operating procedures is critical in the effective and efficient management of sport and recreation facilities today. This study presents a first attempt to determine the level of management capacity of sport and recreation facilities by local government in the City of Tshwane Metropolitan Municipality in the Department of Sport, Recreation, Arts and Culture. The research question for this study was therefore formulated as: “What is the management capacity of Sport and Recreation Facility Managers in the City of Tshwane Metropolitan Municipality?” Based on this particular research question, it was hypothesised that: H0: The management capacity of Sport and Recreation Facility Managers employed in the City of Tshwane is satisfactory/ high. H1: The management capacity of Sport and Recreation Facility Managers employed in the City of Tshwane is unsatisfactory/ low. The aim of the study was to determine a management capacity profile of sport and recreation facilities in the City of Tshwane Metropolitan Municipality. Specific objectives of the study were to: - Explore and analyse the existing management capacity of Sport and Recreation Facility Managers according to the dimensions of the Capacity Analysis Tool; - Identify potential problem areas in the operations of sport and recreation facilities related to management capacity; and - Formulate recommendations to the appropriate decision makers in the City of Tshwane Metropolitan Municipality to create enabling environments for sport and recreation facilities of the local authority under study. Data were gathered by means of a self-administered Capacity Analysis Tool completed by full time Sport and Recreation Facility Managers of the City Tshwane Metropolitan Municipality’s Department of Sport, Recreation, Arts and Culture. A purposive research sample of eight (n=8) was used. The study critically analysed and evaluated the perceptions of the level of management of the City of Tshwane Metropolitan Municipality and its capacity to manage its sport and recreation facilities. The results are not generalised but specific to the research sample. Effective management and possible ineffectiveness were identified to formulate guidelines for increased management capacity. The research was quantitative in nature and data interpretation and analysis was therefore made by use of tables, graphs and statistics. Results for the study indicated that sport and recreation facilities are geographically decentralised over the five regions in the City of Tshwane Metropolitan Municipality, namely the South region, the North West region, the North East region, the Central West region and the East region. Part-time, full-time and voluntary staff work at these sport and recreation facilities, all of whom perform different roles and responsibilities and management tasks. An overall collective mean score of x =2.11 (SD=1.34) was recorded for all eight management dimensions of management capacity as evaluated by the Capacity Analysis Tool. These results, therefore, confirms the stated H1 for this study. It is, therefore, concluded that sport and recreation managers at the City of Tshwane Metropolitan Municipality perform below average in the majority of elements over the eight management dimensions of management capacity. This result suggests that sport and recreation facilities are most likely not managed optimally to the benefit of all stakeholders. Recommendations for this research centred around improving those dimensions of management capacity that needed to be improved as they performed below average, which included clearly defined duties and responsibilities of employees guided by policies and a departmental constitution that is agreed upon by all members of the department, hiring of adequate staff and personnel in the right positions, increasing networking and fundraising capacity, revisiting job descriptions, provision of adequate and continuous training, regular maintenance of sport and recreation facilities and hiring of skilled contractors, provision of adequate resources to staff members to perform duties effectively and advocacy of employees and community members. The effective and efficient management of sport and recreation facilities, including a high capacity to manage sport and recreation facilities is essential and therefore, the following aspects are suggested for the undertaking of further research: A three year review of the status of management of sport and recreation facilities in the City of Tshwane Metropolitan Municipality could be conducted to determine the management capacity of Sport and Recreation Facility Managers to manage sport and recreation facilities; Investigate the community’s perception of sport and recreation facilities with regard to service delivery and meeting the community’s overall needs for sport and recreation participation and quality of life enhancement; Investigate the management capacity of middle and higher management level employees with regard to sport and recreation facility management in the City of Tshwane Metropolitan Municipality; Conduct a comparative study of the management capacity of Sport and Recreation Facility Managers in different municipalities across Gauteng; and Conduct a needs analysis in communities in the City of Tshwane Metropolitan Municipality to gather information of what communities need with regard to development of new sport and recreation facilities. / Dissertation (MA)--University of Pretoria, 2014. / tm2015 / Biokinetics, Sport and Leisure Sciences / MA / Unrestricted

A demanda por combustível nuclear para reatores de pesquisa está aumentando em nível mundial, enquanto várias de suas fábricas têm pequeno volume de produção. Este trabalho estabeleceu um modelo conceitual com duas estratégias para o aumento da capacidade produtiva dessas fábricas. Foram abordadas as fábricas que produzem elementos combustíveis tipo placa carregados com LEU U3Si2-Al, tipicamente usados em reatores nucleares de pesquisa. A primeira estratégia baseia-se na literatura da área de administração da produção e é uma prática frequente nas fábricas em geral. A segunda estratégia aproveita a possibilidade de desmembrar setores produtivos, comum em instalações de produção de combustível nuclear. Ambas as estratégias geraram diferentes cenários de produção, os quais devem ser seguros em relação à criticalidade. Foram coletados dados de uma fábrica real de combustível nuclear para reatores de pesquisa. As duas estratégias foram aplicadas a esses dados com a finalidade de testar o modelo proposto, o que configurou um estudo de caso. A aplicação das estratégias aos dados coletados deu-se por meio de simulação de eventos discretos em computador. Foram criados diversos modelos de simulação para abranger todos os cenários gerados, de forma que o teste indicou um aumento da capacidade produtiva de até 207% sem necessidade de aquisição de novos equipamentos. Os resultados comprovam que o modelo atingiu plenamente o objetivo proposto. Como principal conclusão pode-se apontar a eficácia do modelo proposto, fato que foi validado pelos dados da fábrica. / Although many nuclear fuel factories have small production volumes, the demand for nuclear fuel for research reactors is increasing worldwide. This work established a conceptual model with two strategies to increase the production capacity of these factories. We addressed factories that produce plate-type fuel elements loaded with LEU U3Si2-Al, which are typically used in nuclear research reactors. The first strategy is based on production management literature and is a regular practice in general manufacturing plants. The second strategy takes advantage of the fact that productive sectors can be separated in nuclear fuel production facilities. Both strategies have generated different production scenarios that are assumed to be safe in relation to nuclear criticality. We collected data from a real plant that produces nuclear fuel for research reactors and applied the model to that data, aiming to test the proposed model by setting up a case study. Through the use of computer software, we applied the two strategies to this data by means of discrete events simulation and created several simulation models in order to cover all generated scenarios. Our tests indicated an increase of up to 207% in productive capacity without the need of acquiring new equipment, thus showing that the model has fully achieved its proposed objective. One of the main conclusions that we point out is the models effectiveness, which was validated by the factory data.

L’informatique en nuage révolutionne complètement la façon de gérer les ressources. Grâce à l’élasticité, les ressources peuvent être provisionnées en quelques minutes pour satisfaire un niveau de qualité de service (QdS) formalisé par un accord de niveau de service (SLA) entre les différents acteurs du nuage. Le principal défi des fournisseurs de services est de maintenir la satisfaction de leurs consommateurs tout en minimisant le coût de ces services. Du point de vue SaaS, ce défi peut être résolu d’une manière ad-hoc par l’allocation/-libération des ressources selon un ensemble de règles prédéfinies avec Amazon Auto Scaling par exemple. Cependant, implémenter finement ces règles d’élasticité n’est pas une tâche triviale. D’une part, la difficulté de profiler la performance d’un service compromet la précision de la planification des ressources. D’autre part, plusieurs paramètres doivent être pris en compte, tels que la multiplication des types de ressources, le temps non-négligeable d’initialisation de ressource et le modèle de facturation IaaS. Cette thèse propose une solution complète pour la gestion des contrats de service du nuage. Nous introduisons CSLA (Cloud ServiceLevel Agreement), un langage dédié à la définition de contrat de service en nuage. Il adresse finement les violations SLA via la dégradation fonctionnelle/QdS et des modèles de pénalité avancés. Nous proposons, ensuite, HybridScale un framework de dimensionnement automatique dirigé par les SLA. Il implémente l’élasticité de façon hybride : gestion réactive-proactive, dimensionnement vertical horizontal et multi-couches (application-infrastructure). Notre solution est validée expérimentalement sur Amazon EC2. / Cloud computing promises to completely revolutionize the way to manage resources. Thanks to elasticity, resources can be provisioning within minutes to satisfy a required level of Quality of Service(QoS) formalized by Service Level Agreements (SLAs) between different Cloud actors. The main challenge of service providers is to maintain its consumer’s satisfaction while minimizing the service costs due to resources fees. For example, from the SaaS point of view, this challenge can be achieved in ad-hoc manner by allocating/releasing resources based on a set of predefined rules as Amazon Auto Scaling implements it. However, doing it right –in a way that maintains end-users satisfaction while optimizing service cost– is not a trivial task. First, because of the difficulty to profile service performance,the accuracy of capacity planning may be compromised. Second, several parameters should be taken into account such as multiple resource types, non-ignorable resource initiation time and IaaS billing model. For that purpose, we propose a complete solution for Cloud Service Level Management. We first introduce CSLA (Cloud Service LevelAgreement), a specific language to describe SLA for Cloud services. It finely expresses SLA violations via functionality/QoS degradationand an advanced penalty model. Then, we propose HybridScale, an auto-scaling framework driven by SLA. It implements the Cloud elasticity in a triple hybrid way : reactive-proactive management, vertical horizontal scaling at cross-layer (application-infrastructure). Our solution is experimentally validated on Amazon EC2.

A demanda por combustível nuclear para reatores de pesquisa está aumentando em nível mundial, enquanto várias de suas fábricas têm pequeno volume de produção. Este trabalho estabeleceu um modelo conceitual com duas estratégias para o aumento da capacidade produtiva dessas fábricas. Foram abordadas as fábricas que produzem elementos combustíveis tipo placa carregados com LEU U3Si2-Al, tipicamente usados em reatores nucleares de pesquisa. A primeira estratégia baseia-se na literatura da área de administração da produção e é uma prática frequente nas fábricas em geral. A segunda estratégia aproveita a possibilidade de desmembrar setores produtivos, comum em instalações de produção de combustível nuclear. Ambas as estratégias geraram diferentes cenários de produção, os quais devem ser seguros em relação à criticalidade. Foram coletados dados de uma fábrica real de combustível nuclear para reatores de pesquisa. As duas estratégias foram aplicadas a esses dados com a finalidade de testar o modelo proposto, o que configurou um estudo de caso. A aplicação das estratégias aos dados coletados deu-se por meio de simulação de eventos discretos em computador. Foram criados diversos modelos de simulação para abranger todos os cenários gerados, de forma que o teste indicou um aumento da capacidade produtiva de até 207% sem necessidade de aquisição de novos equipamentos. Os resultados comprovam que o modelo atingiu plenamente o objetivo proposto. Como principal conclusão pode-se apontar a eficácia do modelo proposto, fato que foi validado pelos dados da fábrica. / Although many nuclear fuel factories have small production volumes, the demand for nuclear fuel for research reactors is increasing worldwide. This work established a conceptual model with two strategies to increase the production capacity of these factories. We addressed factories that produce plate-type fuel elements loaded with LEU U3Si2-Al, which are typically used in nuclear research reactors. The first strategy is based on production management literature and is a regular practice in general manufacturing plants. The second strategy takes advantage of the fact that productive sectors can be separated in nuclear fuel production facilities. Both strategies have generated different production scenarios that are assumed to be safe in relation to nuclear criticality. We collected data from a real plant that produces nuclear fuel for research reactors and applied the model to that data, aiming to test the proposed model by setting up a case study. Through the use of computer software, we applied the two strategies to this data by means of discrete events simulation and created several simulation models in order to cover all generated scenarios. Our tests indicated an increase of up to 207% in productive capacity without the need of acquiring new equipment, thus showing that the model has fully achieved its proposed objective. One of the main conclusions that we point out is the models effectiveness, which was validated by the factory data.

No description available.

作業基礎成本制度（Activity-Based Costing, ABC）為現行管理會計制度中，為較多企業所採用之制度，吳安妮教授在經過多年理論與實務之研究後，將ABC制度IT系統商品化，並與許多不同的制度整合為一體，命名為「作業價值管理系統（Activitiy Value Management System,AVMS）」，藉由作業價值管理能提供管理階層正確、即時、攸關之資訊，並協助其做出較適當之管理決策。 　　大數據（Big Data）被許多產業所使用，藉由歷史資料與未來預測，開創了新市場與新商業模式，而大數據也結合了許多制度，例如工業4.0、物聯網等，但卻沒有與管理會計相結合之研究，本研究藉由作業價值管理與產能管理之結合進行大數據之分析，初步的將管理會計與大數據結合，並同時協助個案公司發現有關產能管理之問題，並改善之。 　　本研究使用個案研究法，個案公司為一民防工程與地下空間設計之公司，藉由該個案公司所處產業之產業資料、未來趨勢、競爭者資料、作業價值管理資料等，分析找出個案公司之產能管理問題，並協助個案公司解決所發現之問題以提升管理之效率。 / Activity-Based Costing (ABC) is a well-known management accounting method and used by many companies. After professor An Wu’s 30-years research, she put Activity-Based Costing into IT system and named it Activity Value Management System (AVMS). This system provides correct and immediate information for company’s manager which can help them making a good decision. 　　Big data Analysis is used by many industry for creating new markets and new business models. Big Data Analysis combined with many systems such as Industry 4.0 and Internet of Things (IOT), but there aren’t any integration with management accounting. In this thesis we will Integrate Activity Value Management and Capacity Management with Big Data Analysis. By doing so, this can help the company reviving and solving the problem of Capacity Management. 　　The thesis is a case study with a China Basement designing company. Using the industry information, future trends, Competitor information and AVM data we can not only figure out the problem of Capacity Management that the company is facing but also help the company solving them.