Detta Examensarbete utfördes som en fallstudie Saab Combat Systems, som är och undersöker utmaningar i form av beroenden och osäkerheter som uppstår i Multiprojekt-Organisationer. Dessa utmaningar verkar orsaka konflikter och tvetydigheter i Multiprojekt-Organisationer gällande exempelvis, kommunikation, resursallokering, produktutveckling samt maktstrukturer mellan olika roller (Engwall & Jerbant, 2003; Dahlgren & Söderlund, 2010). Detta Examensarbete behandlar dessa utmaningar genom att undersöka och besvara följande forskningsfrågor: Vilka utmaningar i form av beroenden och osäkerheter existerar på Saab Combat Systems? Hur kan dessa utmaningar hanteras? Våra resultat visar att tre olika typer av beroenden uppstår i Multiprojekt-Organisationer som utvecklar komplexa produkter och system; organisatoriska beroenden, tekniska beroenden och resursberoenden. Dessa tre beroenden verkar påverka varandra och resultera i osäkerheter när flera projekt hanteras samtidigt. Dessutom ökar nivån av osäkerhet i projekt på grund av osäkerheter i relation till maktstrukturer samt utveckling av komplexa produkter och system. De tre identifierade beroende inkluderar projektosäkerheter samt projektberoenden. Vi har valt ut tre stycken olika typer av Management Control Systems; Projektkontor, Projektportföljhantering samt Programhantering och drar slutsatsen att de kan användas för att hantera de tre identifierade beroendena Multiprojekt-Organisationer. Vi har dock upptäckt att dessa Management Control Systems har både fördelar och nackdelar gällande hantering av de tre olika typer av beroenden. Alla identifierade beroenden och osäkerheter kan följaktligen hanteras genom att kombinera olika Management Control Systems. Dessutom har vi kompletterat en redan utvecklad modell av Dahlgren & Söderlund (2010) genom att kartlägga de tre beroendena, som tar hänsyn till projektosäkerheter och projektberoenden, samt vilken typ av Management Control Systems som är mest lämplig för att hantera dessa beroenden. / This Master Thesis was conducted as a case study at Saab Combat Systems investigating challenges in form of dependencies and uncertainties that emerge in Multi-Project Organizations. These challenges seem to cause conflicts and ambiguity in Multi-Project Organizations regarding for instance; communication, human resources allocation, product development and power structures between different roles (Engwall & Jerbant, 2003; Dahlgren & Söderlund, 2010). Thereby, this Master Thesis addresses these challenges by investigating and answering the following research questions: What challenges in form of dependencies and uncertainties exist at Saab Combat Systems? How can these challenges be addressed? Our Results display that three different types of dependencies exists in Multi-Project Organizations developing Complex Products and Systems; organizational dependencies, technical dependencies and resources dependencies. These three dependencies seem to be connected, and therefore result in uncertainties when managing multiple projects. Additionally, uncertainties in relation to the power structure as well as development of Complex Products and Systems tend to increase the level of project uncertainty. The three identified dependencies include both project uncertainties and project dependencies. We have chosen three different Management Control Systems; Project Management Office, Project Portfolio Management and Programme Management and conclude that they can be utilized in order to address the three identified dependencies in Multi-Project Organizations. However, we have found that these Management Control Systems have benefits as well as shortcomings when addressing different types of dependencies. Consequently, by combining them, all of the identified dependencies and uncertainties can be addressed. Furthermore, we have complemented an already developed model by Dahlgren & Söderlund (2010) by mapping the three identified dependencies, which consider project uncertainties and project dependencies, as well as which Management Control System is most appropriate when addressing these three dependencies.

The recent global financial crisis, regulatory and compliance requirements placed on organisations, and the need for scientific research in the project portfolio management discipline were factors that motivated this research. The interest and contribution to the body of knowledge in project portfolio management has been growing significantly in recent years, however, there still appears to be a misalignment between literature and practice. A particular area of concern is the decision-making, during the management of the portfolio, regarding which projects to accelerate, suspend, or terminate. A lack of determining the individual and cumulative contribution of projects to strategic objectives leads to poorly informed decisions that negate the positive effect that project portfolio management could have in an organisation. The focus of this research is, therefore, aimed at providing a mechanism to determine the individual and cumulative contribution of projects to strategic objectives so that the right decisions can be made regarding those projects. This thesis begins with providing a context for project portfolio management by confirming a definition and providing a theoretical background through related theories. An investigation into the practice of project portfolio management then provides insight into the alignment between literature and practice and confirms the problem that needed to be addressed. A conceptual model provides a solution to the problem of determining the individual and cumulative contribution of projects to strategic objectives. The researcher illustrates how the model can be extended before verifying and validating the conceptual model. Having the ability to determine the contributions of projects to strategic objectives affords decision makers the opportunity to conduct what-if scenarios, enabled through the use of dashboards as a visualization technique, in order to test the impact of their decisions before committing them. This ensures that the right decisions regarding the project portfolio are made and that the maximum benefit regarding the strategic objectives is achieved. This research provides the mechanism to enable better-informed decision- making regarding the project portfolio. / Computing / D. Phil. (Computer science)

Thesis (PhD) -- Macquarie University, Macquarie Graduate School of Management, 2008. / Bibliography: p. 301-327. / Introduction -- Literature review -- Methodology and phase 1 research design -- Phase 1 findings -- Phase 2 research design -- Phase 2 findings -- Conclusions and implications. / This research examines the relationship between innovation project portfolio management (IPPM) capabilities and competitive advantage. Innovation projects - or projects for the development of new products - are of escalating importance in an increasingly competitive, globalised and deregulated environment characterised by shortening product lifecycles and dynamic markets. IPPM capabilities aim to improve the success rates for product innovation activities by providing a holistic and responsive decision-making environment to maximise the long-term value of innovation investments across the portfolio of innovation projects. This research takes a wide view and investigates the overall rganisational capability for the management of the innovation project portfolio. -- Successful product innovation is no longer primarily a concern of manufacturing-based industries - product development in service industries is a growing endeavour in an increasingly important industry. Therefore this research includes service product development environments and is the first to extend beyond the traditional manufacturing industry base for IPPM research. This is also the first study to investigate IPPM capabilities in Australia. -- A pragmatic perspective guides a two-phase study encompassing a quantitative survey and a qualitative multiple-case study, the combination of methods providing a deeper level of understanding than could be achieved by either method alone. Findings support prior IPPM studies and suggest a positive relationship between structured IPPM capabilities and improved new product outcomes. The research highlights similarities and differences between service and manufacturing environments, and suggests future challenges will result from the increasing blurring of the boundaries between service and manufacturing industries. This research adopts a 'dynamic capabilities' perspective and draws on organisational learning theory to investigate the path-dependent nature of IPPM capability development. It adds to the understanding of how IPPM capabilities work with the resource base and contribute to competitive advantage. The findings of the research are presented in a maturity model and several conceptual models, and areas for future research are identified. / Mode of access: World Wide Web. / xxvii, 436 p. ill. (some col.)

[pt] No cotidiano das empresas a seleção de projetos é feita muitas vezes de forma arbitrária, ignorando os interesses dos diversos stakeholders e privilegiando as prioridades da gestão vigente. Este estudo utiliza o método AHP de análise multicritério para qualificar projetos de eficiência energética aplicáveis a plantas de shopping centers a luz de critérios financeiros, estratégicos, sociais e ambientais e identificar formas de evidenciar os critérios mais importantes nesse processo decisório. Pretende-se fornecer a gestores e investidores uma ferramenta auxiliar ao processo de seleção de projetos focando em evidenciar os critérios mais importantes na decisão e mostrar de que forma estes são impactados por vieses de orientação estratégica empresarial. / [en] On enterprises daily routine project selection is sometimes made in an arbitrary way, ignoring stakeholders interests and sometimes privileging current management priorities. This study uses the AHP multicriteria method to qualify energetic efficiency projects applicable to shopping centers on bases of financial, strategical, social and environmental objectives and identify ways to spot the most important criteria on this analysis. It seeks to empower managers and investors with an additional tool on project selection support aiming to understand how company strategic objectives interfere on the way decision making is seen and evaluated by management.

Cette thèse traite du processus d’évaluation et de sélection de projets sur la base de critères multiples. Outre la capacité du modèle à permettre une identification efficace des meilleurs projets et leur intégration à un portefeuille, l’équité et la transparence sont des considérations importantes dans la conception de modèles d’appui à ce processus. Nous proposons un cadre de travail général pour l’évaluation de projets, Il reprend les codes de l’analyse SWOT, dont de nombreuses organisations orientées projets sont familières. Nos contributions apportent des éléments de réponse à la question de « l’après SWOT », à laquelle ces organisations peuvent éprouver des difficultés à répondre. Dans ce cadre de travail, nous introduisons et discutons un modèle de préférences permettant de mesurer l’importance des critères sur deux dimensions, représentant de manière indépendante leurs capacités de conviction et d’opposition. Suivant l’évaluation et en préalable à la sélection, le filtrage consiste à écarter les projets trop inadéquats. Nous proposons un mécanisme basé sur la dominance pour effectuer cette opération. Nous proposons, enfin, deux méthodes de sélection de projets, chacune étant basée sur une procédure d’agrégation multicritère originale. La première méthode, SPADE (pour Structure de Préférence pour l’Aide à la Décision) est une approche de surclassement, destinée à des contextes où les préférences exprimées concernent essentiellement les projets individuels, et dans lesquels les décisions concernant un projet peuvent être argumentées en référence à des projets tiers. Nous garantissons la validité théorique de SPADE, en amont, ce qui permet un temps de mise en œuvre réduit et une utilisation en temps réel. En pratique, nous illustrons l’application de SPADE, en la comparant à deux autres approches d’aide multicritères à la décision, MAUT et ELECTRE, en mettant en exergue ses spécificités. La seconde méthode, RADAR (Règles d’Aide à la Décision et à l’ARgumentation) est une approche à base de règles logiques. Elle est destinée à des contextes plus contraints dans lesquels les préférences exprimées concernent à la fois les projets individuels, mais aussi le portefeuille de projets (degré de diversification, budget total, etc.). De plus, l'argumentation des décisions est ici basée exclusivement sur la qualité intrinsèque des projets en référence à une norme fixe. RADAR permet également la construction automatique de tels arguments. Nous proposons un programme linéaire en variable mixtes permettant de valider théoriquement cette approche. Cependant, sa résolution est nécessaire à chaque mise en œuvre de RADAR, ce qui limite l’application de cette approche au temps différé. Nous illustrons une telle application sur un jeu de données représentant des évaluations de projets financés par le Fond des Nations Unies pour la Démocratie (UNDEF). / Project portfolio management (PPM) involves the use of methods and tools, allowing an organization to plan, evaluate, analyze and screen the execution of a set of projects or project proposals, sharing common resources or aiming at the attainment of common objectives. Multicriteria decision aid models are useful tools to support this process, given their ability to accurately model preferences, and rationally agregate points of view. However, existing models present some lacks that limit their use outside of academic circles : (i) They neglect the non-symetrical nature of the importance of some criteria that are relevant in PPM. (ii) The black box effect makes it hard to use them for the argumentation of decisions and to gain their acceptance by users (iii) They are implicitly fitted for private/for-profit projects, which limits their use in public organizations. In this thesis, our contribution consists in proposing two multicriteria methods for supporting the activities of evaluating, selecting and arguing decision, for project portfolio management. We propose: (i) An analysis of the specific features of public and private projects and their consequences for decision support (ii) A framework that allows an independent modeling of the abilities of a criterion to oppose and convince (iii) Two transparent multicriteria agregation procedures, fitted for different decision contexts. We ensure the theoretical validity of our approaches and illustrate their applicability on real data, with satisfying results.

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / This dissertation aims to develop a decision model for sequencing production activities to optimize the delivery time of projects. The survey classify him as applied and descriptive with qualitative and quantitative approach, having how the procedure the single case study. To develop the decision model was used the process flow map to identify the critical control points and determining the evaluation and priorization criteria of project activities for each subprocess. After, it were measured all evaluation criteria identified by mathematical formulas and it was subsequently drafted a simulation tool for priorization and decision on multiple projects to sequence the production activities. The base-building of simulation tool was the Microsoft Excel® software application. The tool was used in a lower hierarchical level to identify the projects to be executed with better success, aiming to maximize revenue. The model was tested in a electromechanical industry located in northwest of Rio Grande do Sul, where it was randomly selected six projects with engineering and custom manufacturing(ETO and MTO) among twenty projects that are executed in average per month. As a result, it was obtained the projects analyzed according to criteria adopted, which should be prioritized in production without compromising delivery time to the customer and the earnings of the company. Therefore, one can conclude that the tool can assist in prioritization of project execution type (ETO and MTO). / A presente dissertação tem por objetivo desenvolver um modelo de decisão de sequenciamento de atividades de produção para otimizar o tempo de entrega de projetos. A pesquisa classifica-se como aplicada e descritiva com abordagem qualitativa e quantitativa, tendo como procedimento o estudo de caso único. Para o desenvolvimento do modelo de decisão foi utilizado o mapeamento de fluxo do processo para a identificação dos pontos críticos de controle e determinação dos critérios de avaliação e priorização das atividades de projetos para cada subprocesso. Depois, foram mensurados todos os critérios de avaliação identificados através de fórmulas matemáticas e posteriormente foi elaborada uma ferramenta de simulação de priorização e decisão em múltiplos projetos a fim de sequenciar as atividades de produção. A base de construção da ferramenta de simulação foi o software aplicativo Excel®. A ferramenta foi utilizada num nível hierárquico inferior para identificar os projetos a serem executados com melhor êxito, visando maximizar o faturamento. O modelo foi testado numa indústria eletromecânica do Noroeste do Rio Grande do Sul, onde foi selecionado aleatoriamente seis projetos com engenharia e produção sob encomenda (ETO e MTO) de uma média de vinte projetos que são executados por mês. Como resultado, obtevese dos projetos analisados, de acordo com critérios adotados, qual deveria ser priorizado na produção sem comprometer o prazo de entrega ao cliente e o faturamento da empresa. Portanto, pode-se concluir que a ferramenta pode auxiliar na priorização de execução de projetos do tipo (ETO e MTO).

[pt] No seu planejamento plurianual de investimentos, as organizações do setor de Exploração e Produção (EeP) estruturam alternativas de projetos de produção de petróleo e gás natural, sujeitas a diversas restrições e a incertezas técnicas e econômicas. Como não há como assegurar que os resultados dos projetos ocorram conforme o previsto, é possível que seu retorno seja inferior ao esperado, o que, dependendo da relevância, pode provocar um efeito adverso no resultado operacional e nas condições financeiras da companhia. Nesse mérito, a dissertação apresenta e aplica um modelo de programação estocástica linear inteira mista para seleção de portfólio de projetos que permita a maximização dos resultados, com restrição de risco. A aplicação considerou dados realistas do segmento de upstream de uma empresa do setor. Para representar os cenários econômicos, optou-se pela utilização da simulação de Monte Carlo do modelo Movimento Geométrico Browniano. Com o Valor Presente Líquido como retorno e Conditional Value-at-Risk representando a medida de risco, foi possível estabelecer a fronteira eficiente do risco-retorno, com a qual o decisor pode definir uma solução de portfólio, conforme sua aversão ao risco. / [en] In their multi-annual investment planning, oil and gas companies consider alternatives of production projects, subject to a variety of constraints, and technical and economic uncertainties. Considering that it is not possible to guarantee that these projects will perform as predicted, the return can be less than expected and can lead to a significant adverse effect to the operational results and to financial conditions of a given organization. Therefore, this dissertation proposes a mixed integer linear stochastic programming model for project portfolio selection that maximizes the return with risk constraint. The application considered realistic data from the upstream segment of an oil and gas company. Monte Carlo simulation of the Geometric Brownian Motion model was considered to represent the economic scenarios. Using the Net Present Value as the function and Conditional Value-at-Risk as a risk measure, it was possible to establish the efficient frontier of risk-return, which can assist the decision-maker to define the project portfolio according to their risk aversion.

[pt] O planejamento e controle de portfolios de projeto é uma tarefa desafiadora. Eles estão sujeitos a múltiplos riscos, restrições de recursos, relações de precedências e penalidades por atrasos de projetos. É fundamental desenvolver estratégias efetivas de alocação dos recursos disponíveis de forma a garantir que estes projetos sejam concluídos dentro dos limites de tempo e custo. Um fator crucial que deve ser levado em consideração ao tomar estas decisões é o gerenciamento das incertezas associadas a execução dos projetos. Neste contexto, este trabalho propõe uma metodologia baseada em otimização robusta para planejamento e controle de portfolios de projeto sob incerteza. Este método combina modelos e algoritmos desenvolvidos para diferentes problemas de alocação de recursos para os quais foi aplicada a mesma abordagem de otimização robusta. Nela, a incerteza é modelada como um adversário capaz de materializar a combinação de riscos de pior caso que maximiza o impacto no(s) projeto(s) para qualquer plano de alocação de recursos. Nos problemas estudados o tomador de decisão tem então que determinar a alocação ótima de recursos que minimiza um objetivo particular assumindo que a combinação de riscos de pior caso irá se materializar. A abordagem também provê um mecanismo para controle do grau de conservadorismo das soluções robustas. Para cada problema modelado, uma estratégia de solução é desenvolvida através de um esquema de reformulação que parte de uma formulação Min-Max compacta e termina em um algoritmo de geração de cortes. Diversos experimentos computacionais foram executados, provendo importantes conclusões que direcionaram o desenvolvimento da metodologia de controle e planejamento de portfolios. A importância de se desenvolver planos de alocação de recursos de forma integrada no contexto de tomada de decisão em portfolios de projetos e a falta de efetividade do método tradicional de análise de caminhos críticos no contexto de cenários de pior caso para as durações das atividades, são importantes exemplos das conclusões obtidas pelos experimentos. A aplicação da metodologia foi demonstrada em um caso de estudo que contempla um portfolio para construção de duas refinarias. O referido exemplo demonstrou o potencial do uso prático dos métodos propostos neste trabalho. / [en] Planning and controlling complex project portfolios is a challenging task. These portfolios are subject to a number of potential risk sources coupled with resource constraints, intricate precedence relationships, and penalties for project delays. For this reason, it is fundamental that optimal strategies for the allocation of the available resources are constantly adopted by the decision makers to ensure that their projects are completed within limits of time and cost. Moreover, the uncertainty that affects these projects has to be taken into account for effective resource allocation decisions. Within this context, this work proposes a robust optimization-based methodology for planning and controlling project portfolios under uncertainty. The method combines models and algorithms for multiple resource allocation problems under the same robust optimization framework. In this approach, the uncertainty environment is modeled as an adversary that selects the worst-case combination of risks for any decision maker s actions. Subsequently, the main goal of the decision maker is to determine optimal resource allocation plans for minimizing a particular objective subject to the assumption that the adversary s worst-combination of risks will materialize. The approach also provides a way to control the degree of conservatism of the solutions. For each studied problem, a solution strategy is developed through a reformulation scheme from a compact min-max formulation to a cut-generation algorithm. Several computational experiments are conducted, providing key insights that drive the design of the referred portfolio planning and control methodology. The ineffectiveness of traditional critical path analysis under worst-case realizations of uncertain activities durations and the importance of taking integrated resource allocation decisions in the context of project portfolios, are examples of the key findings of the experiments. The application of the methodology is demonstrated in a case study of a portfolio aimed at the construction of two refineries. This example presents the capabilities of the developed techniques in a practical context.

Submitted by Marcia Silva (marcia@latec.uff.br) on 2015-10-29T13:57:52Z No. of bitstreams: 1 dissert Maria Celeste de Carvalho Ressiguier Ribeiro.pdf: 12817772 bytes, checksum: b23ae40921877e1329e6a70604a1f9fe (MD5) / Made available in DSpace on 2015-10-29T13:57:52Z (GMT). No. of bitstreams: 1 dissert Maria Celeste de Carvalho Ressiguier Ribeiro.pdf: 12817772 bytes, checksum: b23ae40921877e1329e6a70604a1f9fe (MD5) Previous issue date: 2014-06-14 / Este trabalho desenvolve um modelo para a seleção de propostas de projetos de pesquisa, básica e aplicada, com o apoio de método multicritério à decisão, já existente. Como método multicritério, é aplicado o Analytic Hierarchy Process (AHP), combinando as mensurações relativa e absoluta, para ajudar os gestores do IF Fluminense, na área de pesquisa. O modelo proposto visa à priorização e seleção de projetos que atendam, satisfatoriamente, aos propósitos da instituição e aos requisitos exigidos para cada pesquisa científica. Trata-se de um problema complexo de decisão, que envolve a avaliação de um grande número de projetos julgados em vários critérios, em sua maioria, qualitativos. O problema é tratado em duas etapas de seleção. A primeira etapa visa à seleção dos projetos mais satisfatoriamente alinhados aos objetivos da instituição. Os projetos selecionados na primeira etapa servem de entrada para a segunda etapa, onde tais projetos são pontuados segundo os requisitos da pesquisa. Em cada etapa utiliza-se método AHP aplicando a mensuração relativa e absoluta. O AHP mensuração relativa é aplicado para determinar o peso de contribuição dos critérios para atingimento do objetivo geral. A mensuração absoluta serve para avaliar os projetos em cada critério. Finalmente, cada projeto é pontuado com a soma ponderada que consiste no somatório dos produtos do peso relativo de cada critério pela mensuração absoluta atribuída ao projeto no mesmo critério. Para tanto, utilizou-se como procedimento de pesquisa o estudo de caso, baseando-se num estudo exploratório. O trabalho envolveu pesquisa bibliográfica sobre diversos assuntos, tais como, gerenciamento de portfólio de projetos, apoio multicritério à decisão e aplicação dos métodos de apoio multicritério à decisão na seleção de projetos, a fim de conhecer o estado de arte sobre a utilização de tais métodos na seleção de projetos. Assim como, fez uma breve revisão da literatura sobre os critérios de avaliação considerados na pesquisa científica, a fim de ajudar na estruturação dos critérios utilizados na avaliação dos projetos. Também, baseou-se em pesquisa documental e entrevistas não estruturadas, a fim de compreender melhor o problema. A autora concluiu que o modelo proposto contribuiu para melhorar o processo decisório e proporcionou um processo de seleção mais simples e eficaz. O resultado do trabalho permitiu a escolha de projetos baseado na melhor contribuição de tais projetos para o alcance dos objetivos institucionais e para o melhor cumprimento dos requisitos exigidos para cada pesquisa. / This work develops a model for selection of proposals for research projects, basic and applied, with the support of multi-criteria decision method, already exists. How multicriteria method is applied Analytic Hierarchy Process (AHP), combining the relative and absolute measurements, to help managers of IF Fluminense, in the search area. The proposed model aims at prioritizing and selecting projects that may match satisfactorily the purposes of the institution and the requirements demanded for each scientific research. This is a complex decision problem, which involves the evaluation of a large number of projects judged on several criteria, mostly qualitative. The problem is treated in two stages of selection. The first step aims at selecting projects more satisfactorily aligned to the objectives of the institution. The projects selected in the first stage serve as input to the second stage, where such projects are scored according to the requirements of the research. At each step, it uses AHP applying the relative and absolute measurement. The AHP relative measurement is used to determine the weight of contribution of the criteria for achieving the overall goal. The absolute measurement serves to evaluate the projects in each criterion. Finally, each project is scored with a weighted sum consisting of the sum of the products of the relative weight of each criterion for absolute measurement assigned to the project on the same criteria. For this, we used the procedure as a research case study, based on an exploratory study. The work involved bibliographic research on various subjects such as project portfolio management, multicriteria decision support and application of the methods of multicriteria decision support in the selection of projects in order to know the state of art about the use of such methods in selecting projects. Just as, made a brief literature review on the evaluation criteria used in scientific research, in order to help in structuring the criteria utilized in the evaluation of projects. Also drew on documentary research and unstructured interviews in order to better understand the problem. The author concluded that the proposed model contributed to improving the decision making process and provided a simpler and more effective selection. The result of the work allowed the choice of projects based on the best contribution of such projects to achieve the institutional goals and to better compliance with requirements demanded for each research project.

This thesis deals with the issue of the project management, project portfolio management and environment settings for the management and portfolio analysis in a fictional organization. In the theoretical introduction there is outlined the situation of the education of the project portfolio management at universities in the Czech Republic, Europe and worldwide, in summary form of founded courses that deal with this issue. Some basic principles of PMI methodology follow to introduce the reader to the project and portfolio management. As a practical part of this thesis there has been project management solution software implemented as a support for the portfolio management education. Microsoft Project 2010 has been selected for this purpose. This part of the thesis guides reader through practical topics like how to set up the whole environment including all utilities and contains a description of services settings. As example there were also sample roles and resources of the company set up, which were subsequently assigned to fictional projects so that the business portfolio analysis based on set of business goals and prioritization of individual projects could have been performed. The contribution of this work can be found mainly in the possibility of portfolio management education and training by using one of the leading software tool that are successfully implemented in a real production environment, and to try out the various acts and practices and also to clarify the various processes in the context of specific projects within the portfolio. Prepared fictional organization and sample data can be especially used as a model for handling various assignments in the upcoming educational courses at VŠE.