This diploma thesis focuses on business process modeling. The main theme is the use of business process modeling as a tool to increase business efficiency. The first part of the thesis provides a theoretical framework of process management and process modeling, in the context of both historical development and the latest trends. In the second part has been identified inefficiencies in the current process setup and several changes was suggested. The models were developed in accordance with the International Business Process Model and Notation (BPMN) standard. Models were created in Bizagi Modeler. The result of this diploma thesis is optimized processes and proposals for their implementation in a particular company.

La problématique scientifique abordée correspond à la modélisation et à l'amélioration des processus métiers. Ce problème est d'un intérêt croissant pour les entreprises qui prennent conscience de l'impact indéniable que peuvent avoir une meilleure compréhension et une meilleure gestion des processus métiers (PM) sur l'efficacité, la cohérence et la transparence de leurs activités. Le travail envisagé dans le cadre de la thèse vise à proposer une méthode et un outil pour mesurer et améliorer la qualité des modèles de processus métier. L’originalité de l’approche est qu’elle vise non seulement la qualité syntaxique mais aussi la qualité sémantique et pragmatique en s’appuyant notamment sur les connaissances du domaine. / In recent years the problems related to modeling and improving business processes have been of growing interest. Indeed, companies are realizing the undeniable impact of a better understanding and management of business processes (BP) on the effectiveness, consistency, and transparency of their business operations. BP modeling aims at a better understanding of processes, allowing deciders to achieve strategic goals of the company. However, inexperienced systems analysts often lack domain knowledge leading and this affects the quality of models they produce.Our approach targets the problem related to business process modeling quality by proposing an approach encompassing methods and tools for business process (BP) models quality measurement and improvement. We propose to support this modeling effort with an approach that uses domain knowledge to improve the semantic quality of BP models.The main contribution of this thesis is fourfold:1. Exploiting the IS domain knowledge: A business process metamodel is identified.Semantics are added to the metamodel by the mean of OCL constraints.2. Exploiting the application domain knowledge. It relies on domain ontologies. Alignment between the concepts of both metamodels is defined and illustrated.3. Designing of the guided quality process encompassing methods and techniques to evaluate and improve the business process models. Our process propose many quality constraints and metrics in order to evaluat the quality of the models and finally the process propose relevant recommendations for improvement.4. Development of a software prototype “BPM-Quality”. Our prototype implements all theabove mentioned artifacts and proposes a workflow enabling its users to evaluate andimprove CMs efficiently and effectively.We conducted a survey to validate the selection of the quality constraints through a first experience and also conducted a second experiment to evaluate the efficacy and efficiency of our overall approach and proposed improvements.

Context: Process mining is an approach that exploits event logs to discover real processes executed in organizations, enabling them to (re)design and improve process models. Goal modelling, on the other hand, is a requirements engineering (RE) approach mainly used to analyze what-if situations and support decision making. Problem: Common problems with process mining include the complexity of discovered “spaghetti” processes and a lack of goal-process alignment. Current process mining practices mainly focus on activities and do not benefit from considering stakeholder goals and requirements to manage complexity and alignment. The critical artifact that process mining practices rely on is the event log. However, using a raw version of real-life event logs will typically result in process models being too complex, unstructured, difficult to understand and, above all, not aligned with stakeholders’ goals. Method: Involving goal-related factors can augment the precision and interpretability of mined models and help discover better opportunities to satisfy stakeholders. This thesis proposes three algorithms for goal-oriented process enhancement and discovery (GoPED) that show synergetic effects achievable by combining process mining and goal-oriented modelling. With GoPED, good historical experiences will be found within the event log to be used as a basis for inferring good process models, and bad experiences will be found to discover models to avoid. The goodness is defined in terms of alignment with regards to three categories of goal-related criteria: • Case perspective: satisfaction of individual cases (e.g., patient, costumer) in terms of some goals; • Goal perspective: overall satisfaction of some goals (e.g., to decrease waiting time) rather than individual cases; and • Organization perspective: a comprehensive satisfaction level for all goals over all cases. GoPED first adds goal-related attributes to conventional event characteristics (case identifier, activities, and timestamps), selects a subset of cases concerning goal-related criteria, and finally discovers a process model from that subset. For each criterion, an algorithm is developed to enable selecting the best subset of cases where the criterion holds. The resulting process models are expected to reproduce the desired level of satisfaction. The three GoPED algorithms were implemented in a Python tool. In addition, three other tools were implemented to complete a line of actions whose input is a raw event log and output is a subset of the event log selected with respect to the goal-related criteria. GoPED was used on real healthcare event logs (an illustrative example and a case study) to discover processes, and the performance of the tools was also assessed. Results: The performance of the GoPED toolset for various sizes and configurations of event logs was assessed through extensive experiments. The results show that the three GoPED algorithms are practical and scalable for application to event logs with realistic sizes and types of configurations. The GoPED method was also applied to the discovery of processes from the raw event log of the trajectories of patients with sepsis in a Dutch hospital, from their registration in the emergency room until their discharge. Although the raw data does not explicitly include goal-related information, some reasonable goals were derived from the data and a related research paper in consultation with a healthcare expert. The method was applied, and the resulting models were i) substantially simpler than the model dis-covered from the whole event log, ii) free from the drawbacks that using the whole event log causes, and iii) aligned with the predefined goals. Conclusion: GoPED demonstrates the benefits of exploiting goal modelling capabilities to enhance event logs and select a subset of events to discover goal-aligned and simplified process models. The resulting process model can also be compared to a model discovered from the original event log to reveal new insights about the ability of different forms of process models to satisfy the stakeholders’ goals. Learning from good behaviours that satisfy goals and detecting bad behaviours that hurt them is an opportunity to redesign models, so they are simpler, better aligned with goals, and free from drawbacks that using the whole event log may cause.

This thesis describes the research carried out to identify mechanisms as potential causes of action that can lead to improved learning outcomes. Identifying mechanisms requires an exploratory approach because mechanisms are not always directly perceivable. The potential mechanisms in this study were identified by analysing the reflections of students who participated in experiential learning projects during business process management education. The research was necessary due to a persistent need to minimise the gap between learning and practice. The research is unique because it takes a student-dominant approach to review students' reflective practices using a novel pragmatic-critical realist paradigm. Although reflection is central to experiential learning, there is limited understanding of how students reflect and what they consider to influence their learning outcomes. This limitation was explored using action research with mixed methods analysis which combined thematic analysis and partial least squares based structural equation modelling. During four action research cycles, student reflections on business process projects as part of higher education enterprise systems and business process management courses in a South African higher education institution were observed and analysed. Each action research cycle changed one aspect of the students' projects. The first intervention required students to reflect on action, the second required students to reflect in action, and the third required reflection for action. In the fourth cycle, the teaching staff changed. The findings showed that reflection is complex and must be linked to action to improve learning. Reflections were observed to positively influence learning outcomes when students apply effort to assigned tasks. On the basis of the observations, two models were proposed. The first model is a learning influence model embedded in the second disruptive learning model. The models show that reflective practices can improve learning outcomes by recognising that students learn at different levels but are predominantly absolutist. Students need to be inspired to apply effort in completing tasks and overcoming satisficing.

A method has been created that addresses the issues that prohibit the conversion of product artifacts into a secure, efficient and reliable Product Lifecycle Management (PLM) environment. These issues include automatic import of data into a PLM system and revision control of such data. A test case is shown which specifically addresses these issues as they pertain to the management of both legacy and new engineering data in a PLM system.

ETL processes play an increasingly important role for the support of modern business operations. These business processes are centred around artifacts with high variability and diverse lifecycles, which correspond to key business entities. The apparent complexity of these activities has been examined through the prism of Business Process Management, mainly focusing on functional requirements and performance optimization. However, the quality dimension has not yet been thoroughly investigated and there is a need for a more human-centric approach to bring them closer to business-users requirements. In this paper we take a first step towards this direction by defining a sound model for ETL process quality characteristics and quantitative measures for each characteristic, based on existing literature. Our model shows dependencies among quality characteristics and can provide the basis for subsequent analysis using Goal Modeling techniques.

Digitalization is a topic that affects most of the industries as well as the society overalltoday. Within this topic, the use of mobile technology devices, such as smartphones,allows organizations to perform tasks in an anytime-anywhere situation – usually calledenterprise mobility. The Swedish Police Authority see the potential of this technologyshift that is happening and are currently focusing on developing tools to support thedaily operations. The debriefing process for the intervention police is an area wheredigitalization and mobility could improve the efficiency. However, it is today unknownwhat technical solution could support the operations, what features it should include,and how it should look.The purpose of this study was to investigate how mobility can support the debriefingprocess in forms of efficiency for the polices in field from an exploratory point of view.An inductive research approach was chosen together with a case study researchmethod. Semi-structured and unstructured interviews were held with 35 participantsfrom different parts of the organization to get both a breadth and depth of knowledge.The delimitation was made to study the Swedish Police Authority and more in detail theintervention police. The current debriefing process was observed and mapped in thefirst part of this study, followed by part two which included a technical specification andprototyping of a mobile debriefing tool based on interviews and observations. Thefindings from part one and part two resulted in a proposed specification of a mobiledebriefing tool for what it should include and how it should look.The study shows that the proposition of a debriefing tool can increase the efficiency forthe Swedish Police Authority by reducing the duplication of work, increase the usabilityfor the users, reduce the risk for human errors, and reduce the dependency ofstationary workplaces for debriefing. The debriefing tool includes quality assurance ofthe information gathered through a structured working process at the same time. Thefactors mentioned above can also be linked to reduced time spent on the tasks whileretain or even increase the quality of the results – which in this case is the debriefingreport.

Service-oriented environments are central backbone of todays enterprise workflows. These workflow includes traditional process types like travel booking or order processing as well as data-intensive integration processes like operational business intelligence and data analytics. For the latter process types, current execution semantics and concepts do not scale very well in terms of performance and resource consumption. In this paper, we present a concept for data streaming in business processes that is inspired by the typical execution semantics in data management environments. Therefore, we present a conceptual process and execution model that leverages the idea of stream-based service invocation for a scalable and efficient process execution. In selected results of the evaluation we show, that it outperforms the execution model of current process engines.

В диссертации был проведен анализ литературы и нормативно-справочной документации по теме диссертации, по результатам исследования была сформирована таблица сравнений медицинских информационных систем. Разработаны требования к медицинским системам. В ходе работы были построены модели исследуемых бизнес-процессов и разработан новый блок медицинской информационной системы для клиники «Геном-Волга». / The analysis of literature and normative-reference documentation on the subject of the thesis was carried out in the thesis, the table of comparisons of medical information systems was formed based on the results of the research. Requirements to medical systems are developed. In the course of the work, models of the studied business processes were built and a new block of medical information system for Genom-Volga clinic was developed.

This dissertation was completed on 73 sheets (A4, font Times New Roman, size 14, 1.5 line spacing), excluding attachments. Number of tables – 2 (excluding applications). Number of figures – 19 (excluding applications). Number of formulas-0 (excluding applications). Master's thesis consists of an introduction, three parts, conclusion, bibliography, applications. This work begins with an introduction, which consists of the relevance of the master's thesis, problem statement, determining the purpose and objectives of the work, its object and subject, scientific novelty, research methods, practical significance and research methods. In the first Chapter of this work, the definitions, goals and objectives of personnel training are considered and analyzed. In the same section features of corporate training, construction of business process are presented. In the second part of the work, the analysis of the current system of training in the organization was carried out, the characteristics of the company, the personnel of working specialties, the Department for work with personnel were carried out, the analysis of normative documentation was carried out. The third part contains recommendations for changes. Building a business process of corporate training will allow you to configure the learning process properly, which will allow the company to implement large projects by its own highly skilled workers. In conclusion, the main conclusions are formulated, the results are listed and the results of the master's thesis are summed up. / Данная диссертация выполнена на 73 листах (формат А4, шрифт Times New Roman, кегль 14, интерлиньяж 1.5) без учета приложений. Количество таблиц – 2 (без учета приложений). Количество рисунков – 19 (без учета приложений). Количество формул – 0 (без учета приложений). Магистерская диссертация состоит из введения, трех частей, заключения, библиографического списка, приложений. Данная работа начинается с введения, которое состоит из актуальности магистерской диссертационной работы, постановки проблемы, определения цели и задач работы, её объекта и предмета, научной новизны, методов исследования, практической значимости и методов исследования. В первой главе данной работы рассмотрены и проанализированы определения, цели и задачи обучения персонала. В этом же разделе представлены особенности корпоративного обучения, построения бизнес-процесса. Во второй части работы осуществлен анализ действующей системы обучения в организации, проведена характеристика компании, персонала рабочих специальностей, отдела по работе с персоналом, проведен анализ нормативной документации. Третья часть содержит рекомендации по изменениям. Построение бизнес-процесса корпоративного обучения позволит настроить процесс обучения должным образом, что позволит компании реализовывать крупные проекты силами собственных высококвалифицированных рабочих специалистов. В заключение работы формулируются основные выводы, перечислены результаты и подведены итоги магистерской диссертационной работы.