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Advisor(s)
Abstract(s)
Os Quadros Especiais (QE) da Marinha definem o número de efetivos permanentes
na situação do ativo, desdobrados por categoria, posto e classe. Estes quadros decorrem do Quadro de Pessoal da Marinha que é fixado por Decreto-lei, sob proposta do Chefe do Estado-Maior da Armada (CEMA). Constituindo-se como um instrumento de gestão do pessoal, ao dispor do CEMA, os quadros especiais são, em geral, aprovados anualmente, e sua elaboração perspetiva a satisfação das necessidades funcionais na Marinha e o desenvolvimento harmonioso da carreira dos militares nas diversas classes. Em outubro de 2012, a Direção de Análise e Gestão da Informação (DAGI), sob a orientação da Superintendência dos Serviços do Pessoal (SSP), desenvolveu um simulador de carreiras que disponibiliza um variado conjunto de indicadores de fluxo de carreira num horizonte de tempo futuro, a curto, médio e longo prazo. O simulador permite parametrizar diversos fatores que condicionam a carreira dos militares da Marinha. Um desses fatores consiste em considerar na simulação o quadro especial em vigor e os possíveis Quadros Referenciais (que poderão constituir no respetivo ano o QE em vigor). Desta forma, é possível estimar o impacto na carreira dos militares mediante a escolha de diferentes distribuições de lugares nos referenciais de efetivos. O presente trabalho tem como objetivo propor um método automático para encontrar referenciais de efetivos (futuros QE’s) que garantam, num futuro a curto, médio e longo prazo, o desenvolvimento
harmonioso das carreiras dos militares em classes consideradas homólogas. Este método consiste numa heurística de melhoramento embebida numa aplicação desenvolvida em MATLAB e que comunica com o simulador de carreiras. Para
atingir este objetivo é apresentado uma função para medir a semelhança ou dissemelhança entre as carreiras dos militares pertencentes a duas classes consideradas homólogas com base na distância de Hellinger.
Este trabalho pretende dar um contributo ao estudo que precede a elaboração do
quadro especial a entrar em vigor em cada ano.
The Military Personnel Functional Table (MPFT) gives the number of military workers in active duty, sorted by category, rank and functional classes. These tables derive from the general Military Personnel Table (MPT) approved for all the Navy military personnel. They are approved by a fixed decree law ordinance, upon proposal by the Chief of the Navy Staff (CEMA). Being approved annually, the MPF tables make up an important instrument of personnel management, available for the Chief of Navy Staff, in order to satisfy the Navy functional needs of qualified personnel and also guaranteeing an harmonious career development for all military personnel on the several functional classes. In October 2012, the Information Management Directorate (DAGI), in collaboration with the Navy’s Manpower Service Office (SSP), developed a career simulator that made available different statistical indicators on the military careers in a short, medium or longterm time period. The simulator allows the user to set different combinations of parameters that influence the career of all the military workers. One of these factors, in particular, is the MPFT tables for each year over the simulation horizon. This allows the analyst to estimate the impact on the military career by choosing different distributions of vacancies in each MPTF table. The present work aims to propose an automatic method to find an effective set of MPTF tables (one for each year in the simulation horizon) that guarantees at a short, medium and long-term an harmonious development of careers in the functional military classes considered homologous. This method is an improvement heuristic embedded in an application developed in MATLAB which communicates with the career simulator. To achieve this goal we present a metric to assert the similarity or dissimilarity between the military careers of two homologous functional classes based on the Hellinger distance metric. We aim to contribute to the study that precedes the groundwork for the MPFT tables to be approved each year.
The Military Personnel Functional Table (MPFT) gives the number of military workers in active duty, sorted by category, rank and functional classes. These tables derive from the general Military Personnel Table (MPT) approved for all the Navy military personnel. They are approved by a fixed decree law ordinance, upon proposal by the Chief of the Navy Staff (CEMA). Being approved annually, the MPF tables make up an important instrument of personnel management, available for the Chief of Navy Staff, in order to satisfy the Navy functional needs of qualified personnel and also guaranteeing an harmonious career development for all military personnel on the several functional classes. In October 2012, the Information Management Directorate (DAGI), in collaboration with the Navy’s Manpower Service Office (SSP), developed a career simulator that made available different statistical indicators on the military careers in a short, medium or longterm time period. The simulator allows the user to set different combinations of parameters that influence the career of all the military workers. One of these factors, in particular, is the MPFT tables for each year over the simulation horizon. This allows the analyst to estimate the impact on the military career by choosing different distributions of vacancies in each MPTF table. The present work aims to propose an automatic method to find an effective set of MPTF tables (one for each year in the simulation horizon) that guarantees at a short, medium and long-term an harmonious development of careers in the functional military classes considered homologous. This method is an improvement heuristic embedded in an application developed in MATLAB which communicates with the career simulator. To achieve this goal we present a metric to assert the similarity or dissimilarity between the military careers of two homologous functional classes based on the Hellinger distance metric. We aim to contribute to the study that precedes the groundwork for the MPFT tables to be approved each year.
Description
Keywords
Desenho de quadros, quadro especial, promoções, simulação, caracterização de carreiras, distância de Hellinger Special vacancies framework design, promotions, simulation, career characterization, harmonization