La gestion de projets complexes nécessite d’orchestrer la coopération de centaines de personnes provenant de diverses entreprises, professions et compétences, de travailler sur des milliers d'activités, livrables, objectifs, actions, décisions et risques. En outre, ces nombreux éléments du projet sont de plus en plus interconnectés, et aucune décision ou action n’est indépendante. Cette complexité croissante est l'un des plus grands défis de la gestion de projet et l'une des causes de l'échec du projet en termes de dépassements de coûts et des retards. Par exemple, dans l'industrie automobile, l'augmentation de l'orientation du marché et de la complexité croissante des véhicules a changé la structure de gestion des projets de développement de nouveaux véhicules à partir d'une structure hiérarchique à une structure en réseau, y compris le constructeur, mais aussi de nombreux fournisseurs. Les dépendances entre les éléments du projet augmentent les risques, car les problèmes dans un élément peuvent se propager à d'autres éléments qui en dépendent directement ou indirectement. La complexité génère un certain nombre de phénomènes, positifs ou négatifs, isolés ou en chaînes, locaux ou globaux, qui vont plus ou moins interférer avec la convergence du projet vers ses objectifs.L'objectif de la thèse est donc de réduire les risques associés à la complexité des projets véhicules en augmentant la compréhension de cette complexité et de la coordination des acteurs du projet. Pour ce faire, une première question de recherche est de prioriser les actions pour atténuer les risques liés à la complexité. Puis, une seconde question de recherche est de proposer un moyen d'organiser et de coordonner les acteurs afin de faire face efficacement avec les phénomènes liés à la complexité identifiés précédemment.La première question sera abordée par la modélisation de complexité du projet en analysant les phénomènes liés à la complexité dans le projet, à deux niveaux. Tout d'abord, une modélisation descriptive de haut niveau basée facteur est proposé. Elle permet de mesurer et de prioriser les zones de projet où la complexité peut avoir le plus d'impact. Deuxièmement, une modélisation de bas niveau basée sur les graphes est proposée. Elle permet de modéliser plus finement les éléments du projet et leurs interdépendances. Des contributions ont été faites sur le processus complet de modélisation, y compris l'automatisation de certaines étapes de collecte de données, afin d'augmenter les performances et la diminution de l'effort et le risque d'erreur. Ces deux modèles peuvent être utilisés en conséquence; une première mesure de haut niveau peut permettre de se concentrer sur certains aspects du projet, où la modélisation de bas niveau sera appliquée, avec un gain global d'efficacité et d'impact. Basé sur ces modèles, certaines contributions sont faites pour anticiper le comportement potentiel du projet. Des analyses topologiques et de propagation sont proposées pour détecter et hiérarchiser les éléments essentiels et les interdépendances critiques, tout en élargissant le sens du mot polysémique "critique".La deuxième question de recherche sera traitée en introduisant une méthodologie de « Clustering » pour proposer des groupes d'acteurs dans les projets de développement de nouveaux produits, en particulier pour les acteurs impliqués dans de nombreuses interdépendances liées aux livrables à différentes phases du cycle de vie du projet. Cela permet d'accroître la coordination entre les acteurs interdépendants qui ne sont pas toujours formellement reliés par la structure hiérarchique de l'organisation du projet. Cela permet à l'organisation du projet d’être effectivement plus proche de la structure en « réseau » qu’elle devrait avoir. L'application industrielle aux projets de développement de nouveaux véhicules a montré des résultats prometteurs pour les contributions aux deux questions de recherche. / The management of complex projects requires orchestrating the cooperation of hundreds of individuals from various companies, professions and backgrounds, working on thousands of activities, deliverables, and risks. As well, these numerous project elements are more and more interconnected, and no decision or action is independent. This growing complexity is one of the greatest challenges of project management and one of the causes for project failure in terms of cost overruns and time delays. For instance, in the automotive industry, increasing market orientation and growing complexity of automotive product has changed the management structure of the vehicle development projects from a hierarchical to a networked structure, including the manufacturer but also numerous suppliers. Dependencies between project elements increase risks, since problems in one element may propagate to other directly or indirectly dependent elements. Complexity generates a number of phenomena, positive or negative, isolated or in chains, local or global, that will more or less interfere with the convergence of the project towards its goals. The thesis aim is thus to reduce the risks associated with the complexity of the vehicle development projects by increasing the understanding of this complexity and the coordination of project actors. To do so, a first research question is to prioritize actions to mitigate complexity-related risks. Then, a second research question is to propose a way to organize and coordinate actors in order to cope efficiently with the previously identified complexity-related phenomena.The first question will be addressed by modeling project complexity and by analyzing complexity-related phenomena within the project, at two levels. First, a high-level factor-based descriptive modeling is proposed. It permits to measure and prioritize project areas where complexity may have the most impact. Second, a low-level graph-based modeling is proposed, based on the finer modeling of project elements and interdependencies. Contributions have been made on the complete modeling process, including the automation of some data-gathering steps, in order to increase performance and decrease effort and error risk. These two models can be used consequently; a first high-level measure can permit to focus on some areas of the project, where the low-level modeling will be applied, with a gain of global efficiency and impact. Based on these models, some contributions are made to anticipate potential behavior of the project. Topological and propagation analyses are proposed to detect and prioritize critical elements and critical interdependencies, while enlarging the sense of the polysemous word “critical."The second research question will be addressed by introducing a clustering methodology to propose groups of actors in new product development projects, especially for the actors involved in many deliverable-related interdependencies in different phases of the project life cycle. This permits to increase coordination between interdependent actors who are not always formally connected via the hierarchical structure of the project organization. This allows the project organization to be actually closer to what a networked structure should be. The automotive-based industrial application has shown promising results for the contributions to both research questions. Finally, the proposed methodology is discussed in terms of genericity and seems to be applicable to a wide set of complex projects for decision support.

Risk management is quite a broad and essential part of project management in construction projects. Often, risk management focuses on perceived risks that can easily be predicted and managed. However, little attention is given to novel risks or risks that are not possible to predict and are unforeseen. Construction projects face these risks repeatedly, and decisions made when they occur are filled with so many discrepancies. The covid-19 virus is an example of a novel virus that no one perceived, which surprised the construction industry. This master thesis explores how organisations in the construction industry in Zimbabwe managed risk related to covid-19 in construction projects and what impact the pandemic had on current risk management practices. This study is an exploratory case study, and semi-structured interviews were utilised to collect data and answer the research questions. The study's findings highlight the major risks related to covid-19 that were faced in construction projects, the particular actions related to risk management that were taken to manage the risk and the impact of covid-19 on risk management frameworks for construction projects in Zimbabwe. Risks posed by the coronavirus to construction projects in Zimbabwe included operational risks, financial risks, productivity risks, supply chain risks, production delay risks and coronavirus infection risks. Mandatory guidelines and ISO procedures mainly influenced the actions taken to manage coronavirus related risks. Measures included introducing extra health safety measures on construction sites such as regular testing and screening and social distancing. Lastly, the impact on construction project risk management frameworks included changes to adapt to the new way of operating with covid-19. These changes include the increase in the budget allocation for novel risks and increased integration of technology in risk management. A small section of the study briefly discusses the Swedish context to capture insights into how the Swedish construction industry was affected by the covid-19 pandemic. Since Sweden did not go into lock down, it was interesting to reflect on how they were affected, and the actions taken to manage covid-19 related risks in that context. / Riskhantering är en ganska bred och väsentlig del av projektledning i byggprojekt. Ofta fokuserar riskhanteringen på upplevda risker som lätt kan förutsägas och hanteras. Men lite uppmärksamhet ägnas unika risker eller risker som inte är möjliga att förutse och är oförutsedda. Byggprojekt möter dessa risker upprepade gånger, och beslut som fattas när de inträffar är fyllda med så många avvikelser. Covid-19-viruset är ett exempel på ett unikt virus som ingen uppfattade, vilket överraskade byggindustrin. Denna masteruppsats undersöker hur organisationer inom byggindustrin i Zimbabwe hanterade risker relaterade till covid-19 i byggprojekt och vilken inverkan pandemin hade på nuvarande riskhanteringsmetoder. Denna studie är en utforskande fallstudie och semistrukturerade intervjuer användes för att samla in data och svara på forskningsfrågorna. Studiens resultat belyser de stora riskerna relaterade till covid-19 som stod inför i byggprojekt, de särskilda åtgärderna relaterade till riskhantering som vidtogs för att hantera risken och effekten av covid-19 på riskhanteringsramverk för byggprojekt i Zimbabwe. Risker som coronaviruset utgör för byggprojekt i Zimbabwe inkluderar operationella risker, finansiella risker, produktivitetrisker, risker kopplade till försörjningskedjan, produktionsföreningrisker och risk för coronavirusinfektion. Obligatoriska riktlinjer och ISO-procedurer påverkade huvudsakligen de åtgärder som vidtogs för att hantera risker relaterade till coronaviruset. Åtgärder omfattade att införa extra hälsosäkerhetsåtgärder på byggarbetsplatser som regelbundna tester och screening och social distansering. Slutligen, effekten på ramverk för riskhantering av byggprojekt inkluderade förändringar för att anpassa sig till det nya sättet att arbeta med covid-19. Dessa förändringar inkluderar ökningen av budgetanslaget för unika risker och ökad integrering av teknik i riskhanteringen. En liten del av studien diskuterar kort den svenska kontexten för att fånga insikter om hur den svenska byggindustrin påverkades av covid-19-pandemin. Eftersom Sverige inte gick in i lockdown var det intressant att reflektera över hur de påverkades och vilka åtgärder som vidtagits för att hantera covid-19 relaterade risker i det sammanhanget.

[pt] Este trabalho apresenta a Reservoir Risks Ontology (ResRiskOnto), uma ontologia aplicada aos riscos na indústria de óleo e gás associados ao domínio de reservatórios. Os componentes da ResRiskOnto são termos do domínio de trabalho de profissinais de reservatório, de forma a facilitar sua adoção na documentação futura de riscos. A ResRiskOnto tem como ideia central o conceito de Evento de Risco. Cada evento tem um conjunto de possíveis Participantes, que por sua vez possuem Características manifestadas pelo evento. A ontologia dispõe de um total de 97 termos, 29 dos quais derivados da classe Evento de Risco. Para desenvolver a ResRiskOnto, foi feita uma análise semântica em aproximadamente 2500 riscos de reservatórios documentados em linguagem natural. Este repositório é fruto de centenas de workshops de avaliação de riscos em projetos de óleo e gás, conduzidos na Petrobras durante uma década. A ontologia proposta fundamenta-se nos princípios da Basic Formal Ontology (BFO), uma ontologia de topo projetada para descrever domínios científicos. A BFO baseia-se no Realismo, uma visão filosófica segundo a qual os entes que constituem a realidade existem independentemente da nossa representação. No nível de domínio definimos os entes de reservatório usando os conceitos da GeoCore Ontology, uma ontologia para a Geologia. Para validar a ResRiskOnto os documentos do repositório foram anotados utilizando os entes e relações definidos na ontologia, e desenvolvido um modelo capaz de reconhecer entidades nomeadas e extrair as relações entre elas. Nossa contribuição é uma ontologia aplicada que permite o raciocínio semântico no repositório de documentos de risco. Esperamos que ela forneça (i) as bases para modelagem de dados de riscos relacionados a reservatórios; e (ii) um padrão para futura documentação de riscos no domínio de reservatório. / [en] This work proposes the Reservoir Risks Ontology (ResRiskOnto), an application ontology for risks in the oil and gas industry associated with the petroleum reservoir domain. ResRiskOnto s building blocks are terms dominated by reservoir professionals, so that it can be easily adopted in future risk documentation. ResRiskOnto is developed having at its center the concept of Risk Events. Each event has a set of possible Participants, that have its Characteristics manifested by the event. The ontology provides a total a set of 97 terms, 29 of which are derived from the Risk Event class. To develop the ResRiskOnto, we conducted a semantic analysis of documents that contain over 2500 reservoir-related risks described in natural language. This repository is the result of hundreds of risk assessment workshops in oil and gas projects, conducted in over ten years in Petrobras. This ontology is founded on the principles of the Basic Formal Ontology (BFO), a top-level ontology designed to describe scientific domains. One of BFO s most distinct characteristic is its commitment to Realism, a philosophical view of reality in which its constituents exist independently of our representations. On the domain-level, reservoir entities are described under the principles of the GeoCore Ontology, a core ontology for Geology. To validate the ResRiskOnto we annotate our risk documents repository with the ontology s entities and relations, developing a model that recognizes named entities and extracts the relations among them. Our contribution is an application ontology that allows semantic reasoning over the risk documents. We also expect to provide (i) a basis for data modelling in the case of reservoir-related risks; and (ii) a standard for future risk documentation in the reservoir domain.

Распространение в бизнес-среде проектной формы организации деятельности обуславливает необходимость оценки уникальных рисков конкретных проектов с целью нивелирования финансовых потерь от реализации возможных проектных рисков, соблюдения сроков и бюджета проектов и, следовательно, развития компаний и экономики страны. Целью магистерской диссертации является развитие теоретических положений, разработка методических и практических рекомендаций по оценке рисков проекта с учётом особенностей процессов проектного управления в организации. В работе рассматривается теоретические и прикладные аспекты специфики проектных рисков и особенности их оценки. В качестве источников использовалась учебно-методическая и научно-исследовательская литература, результаты эмпирических исследований автора и данные корпоративной статистики. В рамках исследования разработана и апробирована методика оценки проектных рисков для организаций, осуществляющих проектное управление, предполагающая перенос этапов идентификации и анализа рисков в зону ответственности функциональных дисциплин проекта, а также классификацию рисков по двум уникальным критериям: по ключевым направлениям реализации проекта и по уровню управления, отличающаяся непрерывностью процесса оценки на протяжении всех этапов проекта с применением предложенного показателя совокупного экономического эффекта выявленных рисков, что позволяет выявить максимально полный перечень возможных рисков и определить их стоимостную оценку и влияние на показатели эффективности проекта. Результаты расчетов, проведенных в ходе апробации разработанной методики, позволяют говорить о существенном сокращении финансовых потерь и предотвращении снижения показателей эффективности проекта. / The development of project management in the business necessitates the assessment of the unique risks of specific projects. This is necessary for leveling financial losses from the implementation of possible project risks, meeting the deadlines and budget of projects and, consequently, the development of companies and the country's economy. The purpose of the dissertation research is to develop theoretical provisions, methodological and practical recommendations for assessing project risks for organizations that use project management. The paper considers theoretical and applied aspects of the project risks specific and its assessment. Educational and research literature, corporate statistics data as well as self-conducted empiric research were used as basis for the study. The methodical approach for assessing project risks for companies, that use project management is developed and tested as part of a dissertation research. The methodical approach involves the transfer of the stages of risk identification and analysis to the project's functional disciplines. In addition, it involves the classification of risks according to two unique criteria: by key areas of project implementation and by the level of management. The methodological approach is distinguished by the continuity of the assessment process throughout all stages of the project using the proposed indicator of the aggregate economic effect of the identified risks, which makes it possible to identify the most complete list of possible risks and determine their cost estimate and impact on project performance indicators. The results of calculations for approbation of the developed methodology allow us to speak of a significant reduction in financial losses and prevention of a decrease in project performance indicators.

While previous research suggests that risk management influences project success, less is known about the practical application of the risk management concept on projects and its’ influence on development project success. Thus, this thesis investigates the impact of risk management on project success from a development project perspective. Adopting a qualitative case study approach with semi-structured interviews as the main source of data collection and assessing success from a stakeholder perspective as well as the achievements of the project’s intended outcomes and analysing the various risk management strategies adopted in the pursuance of those outcomes, the findings indicate that risk management practice positively influence development project success. To achieve this, the empirical data shows that risk identification need to be approached strategically to provide a clear focus for project delivery leading to the design of strategic actions to respond to identified risks as well as an effective monitoring and evaluation of the risk management process as a whole. Additionally, the different stakeholder objectives and expectations need to be strategically incorporated into the risk management strategy without deviating from the project’s purpose. The study recommends the need for development project managers not to over-rely on academic expertise in their identification of risks but make use of the wider pool of knowledge available to them, technical or not and to also pursue the positive impacts of risk. Furthermore, they should widen their risk management strategies to include donor support missions, without deviating from the project’s purpose, to ensure transparency and efficiency.

The thesis is focused on the prevention of crises in the management of construction projects. It deals with risk management process, risk management methodologies according to standards, organizations and publications of authors. Detailed methods of risk identification, risk analysis and treatment are described in detail. The thesis also explaines the methods of crisis management and the general expression of the crisis. Instruments of financial analysis have also been described to predict the dangers of a construction site. The aim of the dissertation is to confirm the significance of the hierarchy of risks in the process of their management. The second goal of the dissertation is to demonstrate the correlation between the crisis in the project and the crisis in the construction company.

Presented master thesis deals with project management. Thesis describes in detail methods used for project management and the project management life cycle. The aim of this thesis is in innovation of project methodology in company Pontech s.r.o. In written down methodology are described processes occurring in all phases of managing projects, which are important for effectiveness.

В работе представлена концепция проекта создания негосударственного образовательного учреждения. Для реализации проекта разработан план мероприятий по открытию частной школы в г.Екатеринбург. Идентифицированы риски данного проекта, разработаны мероприятия по их снижению и проведена оценка эффективности проекта для ключевых участников. / The paper presents the concept of the project of creating a non-state educational institution. To implement the project, an action plan was developed for opening a private school in Yekaterinburg. The risks of this project were identified, measures were developed to reduce them, and the project's effectiveness was assessed for key participants.

Abstract Large engineering projects are executed by a network of heterogeneous organisations. In order to be effective, risk management in large engineering projects needs to take the perspective of the entire project network instead of focusing on risk management practices of single actors. Contextual factors such as complexity of the project network and the challenging institutional environment pose additional challenges to risk management. The purpose of this study is to increase the understanding of the sources of risks in engineering project networks and the role of risk sources in determining risk management practices. The perspective of information processing theory is used. The role of equivocality and uncertainty as organisations’ rationales for processing information is examined to gain new insights into the selection of appropriate risk management practices. Literature introduces relational contracting as a response to the need for collaboration in project networks. In this study collaborative risk management practices in the workshop-type meeting and in the project alliance were studied. A qualitative research method was employed to study the nature of risk sources, the role of risk sources in determining risk management practices and collaborative risk management practices. The results of this study enhance the understanding of the nature of risks in engineering project networks. The current project risk management literature proposes that contextual factors related to technology, organising projects and environment increase uncertainty in projects. This study shows that it is relevant to categorise risk sources based on their contingency factors related to uncertainty (lack of information) and to equivocality (the existence of multiple interpretations). It is shown how risk sources impact the selection of project risk management practices. Collaborative risk management practices of workshop-type meeting and project alliance are depicted. Project-based companies and organisations executing investment projects can benefit from the results of this study. This study can guide managers when developing practices to enhance risk management. This study shows how informal risk management practices should be considered in addition to the traditional formal risk management practices, particularly in cases when projects confront situations of equivocality. / Tiivistelmä Suuria projekteja toteutetaan heterogeenisten organisaatioiden muodostaman projektiverkoston avulla. Projektiverkoston tehokkaaseen riskienhallintaan tarvitaan koko verkoston näkökulma yhden organisaation näkökulman sijaan. Tilannetekijät kuten projektiverkoston monimuotoisuus ja projektin haasteellinen ympäristö asettavat lisää haasteita riskienhallinnalle. Tämän väitöskirjan tavoitteena on lisätä ymmärrystä siitä, mitkä ovat riskien lähteitä projekteissa ja kuinka riskien lähteet vaikuttavat riskienhallintamenetelmien valintaan. Väitöskirjassa on käytetty teoreettisena viitekehyksenä informaation prosessoinnin näkökulmaa. Erityisesti on tutkittu monimerkityksisyyden ja epävarmuuden roolia organisaatioiden perusteena käsitellä informaatiota. Kirjallisuudessa on esitetty luottamukseen perustuva sopiminen vastauksena projektiverkostojen yhteistoiminnallisuuden tarpeelle. Väitöskirjassa on tutkittu yhteistoiminnallisina riskienhallintamuotoina työpajatyyppistä työskentelyä sekä projektiallianssia. Tutkimuksessa on tapaustutkimuksen avulla selvitetty projektien riskien lähteitä, riskien lähteiden roolia riskienhallintamenetelmiä määritettäessä, sekä yhteistoiminnallisia riskienhallintakeinoja. Tutkimuksen löydökset lisäävät ymmärrystä projektien riskien lähteistä. Nykyinen projektin riskienhallintakirjallisuus esittää, että projektien tilannetekijät, jotka liittyvät teknologiaan, projektien organisointiin ja ympäristöön kasvattavat epävarmuutta. Tämä tutkimus osoittaa, että on tärkeää jaotella projektien riskit tilannetekijöittäin. Jaottelu tulee tehdä sen mukaan onko vallitseva tilannetekijä epävarmuus eli tiedon puute vai monimerkityksisyys eli tilanne, jossa on paljon keskenään ristiriitaista tietoa. Tässä tutkimuksessa osoitetaan kuinka riskien lähteet vaikuttavat projektiverkoston riskienhallintamenetelmien valintaan. Lisäksi kuvataan yhteistoiminnallisia riskienhallintamenetelmiä projekteissa. Projektitoimintaa harjoittavat yritykset sekä investointiprojekteja tekevät organisaatiot voivat hyödyntää tämän tutkimuksen tuloksia. Tutkimuksen tulokset ohjaavat riskienhallintamenetelmien muokkaamista erilaiset tilannetekijät huomioon ottaen. Tämä tutkimus osoittaa, kuinka epämuodollisia riskienhallintamenetelmiä tulisi suosia perinteisten muodollisten menetelmien ohessa erityisesti tilanteissa, joissa monimerkityksisyys on vallitseva tilannetekijä.