Dissertations / Theses on the topic 'Business Process Monitoring'

Reporting patient states is considered an important part of care process monitoring in the hospital to efficiently monitor how well the health care system is performing. Monitoring care processes with enough fine-grained detail to precisely track wait states and service states in order to reduce wait times and improve their quality of care are challenging. Business Process Management (BPM) technology is used to bring care processes online, but there is no clear methodology on how to integrate performance management into BPM tools in a systematic matter that is effective, and minimizes complications and development costs. This thesis proposes a BPM methodology for care process monitoring that structures how to integrate performance monitoring into BPM. The major contribution of this thesis includes a generic methodology for care processes monitoring that describes how to structure and instrument a business process model for systematic care process monitoring which includes support for handoff points between organizations where many wait-time bottlenecks occur. It also includes a prototype implementation based on an existing case study based on a real cardiology care process from an Ontario hospital. Our results are evaluated using three different prototypes based on this same care process. The research methodology for the thesis is based on Design-Science research.

Business Process Management Systems (BPMS) are attracting much attention these days as core tools for process management. A BPMS consists of several modules including Business Activity Monitoring (BAM), which evaluates the performance of processes. Although measuring the performance of business processes is based on organizational goals and the impact of processes on such goals is an important aspect of the process evaluation, most of the existing BPMS do not offer appropriate capabilities. Several process improvements and quality methodologies have also been around for some time. Most of them, however, are based on statistical and management tools that are not integrated with current technologies including BPMS. In other words, the management and quality disciplines have not yet evolved to take full advantage of current technologies that can enhance process improvement efforts. One of the pitfalls here is the failure to use the information generated by different information systems dispersed across the organization to evaluate the impact of processes on their goals. In this thesis, we use the User Requirements Notation (URN) in a methodology for evaluating business processes against organizational goals. Although URN enables the modeling of processes and goals, its process monitoring capabilities need enhancements and we will address this issue by extending URN. In addition, we propose a methodology that exploits the new capabilities of URN for process analysis and improvement. Unlike other quality methodologies, the methodology and supporting tool proposed are capable of using different sources of information to measure the performance of modeled processes and evaluate their impact on the goal models. The new capabilities and their benefits are illustrated through examples from the healthcare domain.

De nos jours, les processus métiers permettent une automatisation croissante des tâches et des interconnexions complexes au sein du même système et entre différents systèmes, ce qui est particulièrement facilité par l'émergence des services Web. Dans ce contexte, les tâches de spécification et de vérification de la conformité pendant l’exécution deviennent particulièrement intéressantes. Dans cette thèse, on s’intéresse à deux aspects, le monitoring et la sécurité dans le contexte de l’Architecture Orienté Service (SOA). Ainsi, nous proposons une approche fondée sur le concept de vue et une plateforme qui vise le monitoring de la conformité des processus métiers pendant leur exécution. Ainsi, nous avons développé un langage de monitoring appelé BPath, qui est un langage basé sur XPath, qui offre entre autres, la possibilité de spécifier et de vérifier des propriétés de la logique temporelle linéaire et hybride, des requêtes visant à évaluer des indicateurs quantitatifs sur l’exécution d’un processus métier, ceci dans le but de détecter toute violation des règles de conformité pendant l’exécution.Une des préoccupations spécifiques du monitoring de la conformité pour les environnements basés sur SOA est la sécurité. Ainsi, nous proposons une architecture de sécurité fondée sur des langages dédiés (DSL) pour SOA. Nous avons particulièrement développé une DSL graphique pour faciliter la spécification et la génération des contrôles d’accès. Nos approches sont mises en œuvre et intégrés dans une plateforme développée dans le cadre du projet Européen COMPAS qui vise à assurer la conformité de bout en bout dans les environnements basés sur SOA
Nowadays, business processes allow more automation of tasks and complex interconnections within the same system and across different systems, which is particularly facilitated by the emergence of Web services. In this context, the tasks of specifying and checking compliance at runtime become particularly challenging.In this thesis, our goal is twofold: monitoring and security in the context of Service Oriented Architecture (SOA). Thus, we proposed a view-based monitoring approach and a framework that target monitoring of business process compliance at runtime. Our monitoring framework aims to offer an easy way to specify properties to be monitored and to facilitate its integration with SOA based environments. Thus, we have developed a new monitoring language called BPath, which is an XPath-based language that offers among others, the ability to express and to check temporal and hybrid logic properties at runtime, making the execution of business processes visible by expressing and evaluating quantitative indicators, in order to detect any compliance violation at runtime. A specific compliance monitoring concern in SOA based environment is security, which is also an important aspect for companies willing to give access to some of their resources over the Web. Thus, we proposed a domain specific language (DSL) based architecture for ensuring security in SOA environments. We particularly focused on access control by proposing a graphical language to facilitate the specification and generation of access control policies.Our approaches are implemented and integrated within a complete end to end compliance framework developed within the COMPAS project

This thesis explores data-driven, predictive approaches to monitor business process performance. These approaches allow process stakeholders to prevent or mitigate potential performance issues or compliance violations in real time, as early as possible. To help users understand the rationale for the predictions and build trust in them, the thesis proposes two techniques for explainable predictive process monitoring: one based on deep learning, the other driven by process models. This is achieved by decomposing a prediction into its elementary components. The techniques are compared against state-of-the-art baselines and a trade-off between accuracy and explainability of the predictions is evaluated.

Context: Organizations strive to improve their business processes, and adaptive business processes have recently attracted much attention in that context. However, much research in that area has a narrow focus and does not consider a comprehensive view of the organization and its goals. In addition, Business Intelligence-based monitoring methods are useful for business process improvement but they often present information in a format that is not entirely suited for decision making. Objectives: The main objectives of this thesis are to provide: • A framework to model goals, processes, performance, situations, and improvement patterns using one modeling notation, in an iterative and incremental manner; • A method for the modeling and analysis of cause-effect relationships between indicators used to measure goal satisfaction; and • A technique allowing the detection of undesirable, sub-optimal conditions and the application of improvement patterns to the context Method: We develop an iterative framework based on the User Requirements Notation (URN) for modeling, monitoring and improving business organizations and their business processes. In addition, we introduce a formula-based evaluation algorithm allowing better analysis of the relationships between the business performance model elements (namely indicators). Furthermore, we use a profiled version of the Aspect-oriented URN (AoURN) with extensions (Business Process Pattern profile), for detecting undesirable conditions and for business process adaptation. We validate the novelty and feasibility of our approach by performing a systematic literature review, by assessing it against Zellner’ mandatory elements of a method, by developing tool support, by performing a pilot experiment and by using real-life examples from different sectors (healthcare and retail). Results: The two examples show that through the framework’s iterative approach, organizations at different levels of maturity in their business improvement journey can benefit from the framework. Furthermore, our systematic literature review shows that although there are existing works that enable our vision, most of them have a narrow focus and do not cover the three organization views that are of interest in this research. AoURN allows analysts to find repeated patterns in a context and bundle goal, performance and process models as a self-contained unit. AoURN hence enables the modeling of complex circumstances together with analysis techniques for what-if analysis and process adaptation, all using a unified and integrated modeling language. Finally, the pilot experiment suggests that, with some level of documentation and training, users who are already familiar with URN can use the profiled AoURN provided in this thesis as well as the discussed improvement patterns.

A business process is a defined collection of linked structured tasks, activities, and decisions performed together to produce a desired set of results in order to achieve business goals on behalf of the organization. Companies are increasingly moving their business processes online using Business Process Management (BPM) tools and technologies. With BPM, online business processes are defined by an explicit business process model that flexibly combines and orchestrates forms delivered through a web browser to integrate tasks performed by people, and web services accessible through Internet protocols to integrate tasks performed by software. Often the approach to quality assurance for online business processes is similar to what would be done with any other web application. This is insufficient since it only provides rudimentary verification of single user behavior whereas the orchestration of tasks across many users and software systems can be quite complex. As well, a simple web application testing approach does not leverage the defined model for a business process to ensure consistency, completeness and enable automation. Nor will such an approach validate that a business process is contributing towards the achievement of business goals. A more systematic approach is required. This thesis proposes a quality assurance framework to provide a repeatable, systematic, cost-efficient approach to quality assurance for BPM. A prototype framework was implemented and evaluated using two case studies, including one case study that was developed in collaboration with a local hospital to support a business process for cancer care assessment.

Long wait times are a global issue in the healthcare sector, particularly in Canada. Despite numerous research findings on wait time management, the issue persists. This is partly because for a given hospital, the data required to conduct wait times analysis is currently scattered across various information systems. Moreover, such data is usually not accurate (because of possible human errors), imprecise and late. The whole situation contributes to the current state of wait times. This thesis proposes a location-aware business process management system for real-time care process monitoring. More precisely, the system enables an improved visibility of process execution by gathering, as processes execute, accurate and granular process information including wait time measurements. The major contributions of this thesis include an architecture for the system, a prototype taking advantages of commercial real-time location system combined with a business process management system to accurately measure wait times, as well as a case study based on a real cardiology process from an Ontario hospital.

Process monitoring aims to provide transparency over operational aspects of a business process. In practice, it is a challenge that traces of business process executions span across a number of diverse systems. It is cumbersome manual engineering work to identify which attributes in unstructured event data can serve as case and activity identifiers for extracting and monitoring the business process. Approaches from literature assume that these identifiers are known a priori and data is readily available in formats like eXtensible Event Stream (XES). However, in practice this is hardly the case, specifically when event data from different sources are pooled together in event stores. In this paper, we address this research gap by inferring potential case and activity identifiers in a provenance agnostic way. More specifically, we propose a semi-automatic technique for discovering event relations that are semantically relevant for business process monitoring. The results are evaluated in an industry case study with an international telecommunication provider.

In this project, a case study of the business process of an organization is analyzed and optimized and business process modeling tools are used to provide transparency into business processes, as well as the centralization of corporate business process models and execution metrics. A study of business process management and techniques are also verified and the implementation of the result.

I sistemi di Business Process Management sono spesso utilizzati per migliorare ed aumentare la produttività di organizzazioni ed aziende. Per tali sistemi è importante controllare tutte le variabili (compreso il tempo) e lo stato di tutti gli stakeholders che entrano in gioco nei processi. Questi task consentono di aumentare la soddisfazione degli operatori, consentono di migliorare le stime in termini di tempistiche, di controllare le criticità ed in genere consentono di tenere sotto controllo tutti i processi aziendali di un’organizzazione. Nonostante questo molte aziende basano le loro analisi su modelli di processi molto semplici. Questo lavoro presenta un algoritmo denominato “Semantic Timed Model Checking“ applicato ai processi aziendali. Questo algoritmo è stato impiegato in scenari differenti come la selezione, la validazione ed il monitoring dei processi. L’approccio è basato sui seguenti step: 1) rappresentazione dei processi aziendali sotto forma di “semantically annotated timed transition systems” (ATTS), 2) rappresentazione delle specifiche basate su di una rappresentazione annotata semanticamente della logica “timed computation tree logic” (AnTCTL), e 3) un efficiente algoritmo di model checking. Gli ATTS permettono di tenere in considerazione le evoluzioni nel tempo dei processi di business, con i loro vincoli temporali. Questa logica è basata sui sistemi TTS. L’importanza della semantica è notoriamente riconosciuta, ci consente infatti di fornire significati non ambigui ai processi e alle variabili che in essi entrano in gioco. A tal fine vengono utilizzati formalismi propri della logica descrittiva. Questo lavoro presenta un’integrazione dei sistemi TTS e della rappresentazione semantica in un modo molto efficiente. La AnTCTL premette infatti di rappresentare i tradizionali indicatori di performance con una semantica propria e ben definita. Inoltre è possibile introdurre una serie di nuovi indicatori che non sarebbero invece definibili con i modelli di processi aziendali tradizionali. L’algoritmo di model checking è un integrzione dell’algoritmo “timed model checking” con aggiunta di notazioni semantiche. Questo lavoro può essere considerato il primo passo verso l’utlizzo del semantic timed model checking nei problemi di analisi delle performance dei processi aziendali. Il metodo proposto è stato applicato ad un in caso di studio basato su processi aziendali reali.
Business Process Management systems are often used to improve the productivity of organizations and companies. For such systems, it is important to control all the variables (among them the time) and the status of all the stakeholders that are involved into the processes. This task aims at improving the employee satisfaction, the estimation of time and criticalities, and the control of business processes of an organization. In spite of this important task, most of the companies base their analysis on very simple process models. This work presents a Semantic Timed Model Checking algorithm for Business Processes. It has been used as a basic tool in several scenarios such as process selection, process validation, and process monitoring. The approach relies on: 1) a representation of business processes based on semantically annotated timed transition systems (ATTS), 2) a representation of specifications based on a semantically annotated version of timed computation tree logic (AnTCTL), and 3) an efficient model checking algorithm. The ATTS allows us to take into account the temporal evolution of a business process, with its temporal constraints. This is based on Timed Transition Systems. The importance of semantics is also widely recognized. Indeed, semantics allows us to provide a non-ambiguous meaning to process activities and variables. According to the mainstream, the semantics relies on Description Logic. As a consequence, this work presents an integration of timed transition systems and semantic representation technologies in an efficient way. The AnTCTL allows us to represent the traditional performance indicators with a well-founded semantics. Furthermore, it is possible to define a new set of indicators that it is not possible to define with the traditional business process models. The model checking algorithm is an integration of traditional timed model checking techniques with semantic reasoning. This algorithm has been proved to be sound and complete and PSPACE-Complete. This work can be considered the first step towards the use of semantic timed model checking in problems of performance analysis for Business Processes. The proposed approach has been applied to real world case studies.

Care process monitoring is important in healthcare domains to provide precise and detailed analytics on patients, providers, and resources participating in a care process and their status. These analytics are used to keep track of whether the quality of care goals set by healthcare organizations are satisfied and ensure that legislative and organizational guidelines are followed. The complexity of care process monitoring can vary depending on whether the care process takes place in a hospital or out in the community, and it can vary depending on the complexity of the information technology infrastructure that is in place to support the care process. A Care Process Monitoring Application (CPMA) is a software application which collects and integrates data from various sources while a care process is being provided, in order to provide performance reporting of metrics that are used to measure how well the performance goals and guidelines for the care process are being met. In our research, we have studied how CPMAs are built in order to improve the quality of their engineering. The significant challenge in this context is how to engineer a CPMA so that the engineering process is repeatable, produces a CPMA of consistent high quality, and requires less time, less effort and less complexity. This thesis proposes an application framework for care process monitoring that collects and integrates events from event sources, maintains the individual and aggregate states of the care process and populates a metrics data mart to support performance reporting. Our contributions are the following: a state-based application meta-model of care process monitoring, a care process monitoring architectural pattern, and finally, a behavior driven development methodology for CPMAs based on our meta-model and architectural pattern. Our results are validated through three different case studies in which we collaborated with two different health care organizations to build and deploy CPMAs for two different care processes (one hospital-based, the other community-based) in collaboration with healthcare clinicians and researchers.

Patient wait times and care service times are key performance measures for care processes in hospitals. Managing the quality of care delivered by these processes in real-time is challenging. A key challenge is to correlate source medical events to infer the care process states that define patient wait times and care service times. Commercially available complex event processing engines do not have built in support for the concept of care process state. This makes it unnecessarily complex to define and maintain rules for inferring states from source medical events in a care process. Another challenge is how to present the data in a real-time BI dashboard and the underlying data model to use to support this BI dashboard. Data representation architecture can potentially lead to delays in processing and presenting the data in the BI dashboard. In this research, we have investigated the problem of real-time monitoring of care processes, performed a gap analysis of current information system support for it, researched and assessed available technologies, and shown how to most effectively leverage event driven and BI architectures when building information support for real-time monitoring of care processes. We introduce a state monitoring engine for inferring and managing states based on an application model for care process monitoring. A BI architecture is also leveraged for the data model to support the real-time data processing and reporting requirements of the application’s portal. The research is validated with a case study to create a real-time care process monitoring application for an Acute Coronary Syndrome (ACS) clinical pathway in collaboration with IBM and Osler hospital. The research methodology is based on design-oriented research.

Factory shop floors of the future will see a significant increase in interconnected devices for monitoring and control. However, if a Service Orientated Architecture (SOA) is implemented on all such devices then this will result in a large number of permutations of services and composite services. These services combined with other business level components can pose a huge challenge to manage as it is often difficult to keep an overview of all the devices, equipment and services. This thesis proposes an SOA based novel assimilation architecture for integrating disparate industrial hardware based processes and business processes of an enterprise in particular the plastics machinery environment. The key benefits of the proposed architecture are the reduction of complexity when integrating disparate hardware platforms; managing the associated services as well as allowing the Micro Injection Moulding (µIM) process to be monitored on the web through service and data integration. An Enterprise Service Bus (ESB) based middleware layer integrates the Wireless Sensor Network (WSN) based environmental and simulated machine process systems with frontend Google Gadgets (GGs) based web visualisation applications. A business process framework is proposed to manage and orchestrate the resulting services from the architecture. Results from the analysis of the WSN kits in terms of their usability and reliability showed that the Jennic WSN was easy to setup and had a reliable communication link in the polymer industrial environment with the PER being below 0.5%. The prototype Jennic WSN based µIM process monitoring system had limitations when monitoring high-resolution machine data, therefore a novel hybrid integration architecture was proposed. The assimilation architecture was implemented on a distributed server based test bed. Results from test scenarios showed that the architecture was highly scalable and could potentially allow a large number of disparate sensor based hardware systems and services to be hosted, managed, visualised and linked to form a cohesive business process.

У дослідженні розроблено загальну архітектуру автоматизованої інформаційної системи фінансового моніторингу, що складається з 4 рівнів: внутрішній фінансовий моніторинг економічних агентів, банківський фінансовий моніторинг, державний фінансовий моніторинг, правоохоронні й розвідувальні органи. Модель розроблено із застосуванням програмного продукту Bizagi Studio та сучасної нотації BPMN 2.0 автоматизованого моніторингу бізнес-процесу фінансових операцій через систему «Клієнт-Банк». Релевантні критерії перевірки змісту фінансових операцій складають 10 факторів, що є уніфікованими для різних економічних агентів та 13 перевірочних критеріїв, реалізованих безпосередньо на другому рівні перевірки у системі «Клієнт-Банк».
В исследовании разработана общая архитектура автоматизированной информационной системы финансового мониторинга, состоящий из 4 уровней: внутренний финансовый мониторинг экономических агентов, банковский финансовый мониторинг, государственный финансовый мониторинг, правоохранительные и разведывательные органы. Модель разработана с применением программного продукта Bizagi Studio и современной нотации BPMN 2.0 автоматизированного мониторинга бизнес-процесса финансовых операций через систему «Клиент-Банк». Релевантные критерии проверки содержания финансовых операций составляют 10 факторов, являются унифицированными для различных экономических агентов и 13 проверочных критериев, реализованных непосредственно на втором уровне проверки в системе «Клиент-Банк».
The study developed the general architecture of the automated information system of financial monitoring, which consists of 4 levels: internal financial monitoring of economic agents, bank financial monitoring, public financial monitoring, law enforcement, and intelligence agencies. The model was developed using the Bizagi Studio software product and modern BPMN 2.0 notation of automated monitoring of financial transactions' business process through the "Client-Bank" system. Relevant criteria for verifying the content of financial transactions are 10 factors unified for different economic agents and 13 verification criteria implemented directly at the second level of verification in the system "Client-Bank."

Актуальность темы «Цифровая трансформация бизнес–процессов по налоговому контролю на базе решений SAP» на примере компании ПАО «Аэрофлот» обусловлена активным развитием информационных технологий, позволяющих автоматизировать процесс налогового мониторинга и стремительного роста участников данного налогового режима, каждый из которых является представителем крупного бизнеса. Новизна используемой темы доказывается тем, что именно сейчас набирает обороты тренд на цифровизацию экономики в Российской Федерации. На данном этапе налоговый мониторинг в России носит экспериментальный характер и применяется только в отношении крупнейших налогоплательщиков, однако в будущем возможность вступления в режим налогового мониторинга может быть распространена и на средний бизнес. Налоговый контроль будет встроен во внутренние бизнес–процессы организаций и осуществляться незаметно для налогоплательщиков.
The relevance of the topic “Digital transformation of tax control business processes based on SAP solutions” based on the example of PJSC Aeroflot is due to the active development of information technologies that automate the process of tax monitoring and the rapid growth of participants in this tax regime, each of which is a representative of large business. The novelty of the topic used is proved by the fact that right now the trend for the digitalization of the economy in the Russian Federation is gaining momentum. At this stage, tax monitoring in Russia is experimental in nature and is applied only to the largest taxpayers, but in the future, the possibility of entering the tax monitoring regime may be extended to medium-sized businesses. Tax control will be built into the internal business processes of organizations and will be carried out unnoticed by taxpayers.

Malgré les avantages économiques de l’informatique en nuage (ou cloud computing) pour les entreprises et ses multiples applications envisagées, il subsiste encore des obstacles pour son adoption à grande échelle. La sécurité des données sauvegardées et traitées dans le nuage arrive en tête des préoccupations des décideurs des directions des systèmes d'information. De ce fait, l'objectif principal de nos travaux de recherche lors de cette thèse de doctorat est de poser des bases solides pour une utilisation sûre et sécurisée du nuage. Dans un premier lieu, l’externalisation des processus métiers vers le nuage permet aux entreprises de réduire les couts d’investissement et de maitriser les couts d’exploitation de leurs systèmes d’information ; Elle permet aussi de promouvoir la réutilisation des parties (ou fragments) de ses processus métiers en tant que service cloud, éventuellement par des concurrents directs, afin de faciliter le développement de nouvelles applications orientés services ‘SOA’, ainsi la collaboration à l’échelle du nuage. Néanmoins, le fait de révéler la provenance d’un fragment réutilisé est considérée comme une brèche dans la vie privée et risque d’être dommageable pour l’entreprise propriétaire de ce fragment. Les techniques d’anonymisation des données ont fait leurs preuves dans le domaine des bases de données. Notre principale contribution dans cette partie est la proposition d’un protocole basée sur l’anonymisation des fragments de processus métiers afin de garantir à la fois, la vie privée de leurs propriétaires et la disponibilité de ces fragments pouvant être réutilisés dans le nuage. Les systèmes d’authentification biométriques permettent une authentification des individus avec une garantit suffisante. Néanmoins, le besoin en ressources informatiques ‘calcul et stockage’ de ces systèmes et le manque de compétences au sein des organismes freinent considérablement leurs utilisations à grande échelle. Le nuage offre la possibilité d’externaliser à la fois le calcul et le stockage des données biométriques à moindre cout et de proposer une authentification biométrique en tant que service. Aussi, l’élasticité du nuage permet de répondre aux pics des demandes d’authentifications aux heures de pointes. Cependant, des problèmes de sécurité et de confidentialité des données biométriques sensibles se posent, et par conséquent doivent être traité afin de convaincre les institutions et organismes à utiliser des fragments externes d'authentification biométriques dans leurs processus métiers. Notre principale contribution dans cette partie est un protocole léger ‘coté client’ pour une externalisation (sur un server distant) de la comparaison des données biométriques sans révéler des informations qui faciliteraient une usurpation d’identité par des adversaires. Le protocole utilise une cryptographie légère basée sur des algorithmes de hachage et la méthode de 'groupe de tests combinatoires', permettant une comparaison approximative entre deux données biométriques. Dans la dernière partie, nous avons proposé un protocole sécurisé permettant la mutualisation d’un Hyperviseur (Outil permettant la corrélation et la gestion des événements issus du SI) hébergé dans le nuage entre plusieurs utilisateurs. La solution proposée utilise à la fois, le chiffrement homomorphique et la réécriture de règles de corrélation afin de garantir la confidentialité les évènements provenant des SI des différents utilisateurs. Cette thèse a été réalisée à l'Université Paris Descartes (groupe de recherche diNo du LIPADE) avec le soutien de la société SOMONE et l'ANRT dans le cadre d'une convention CIFRE
Cloud computing has become one of the fastest growing segments of the IT industry. In such open distributed computing environments, security is of paramount concern. This thesis aims at developing protocols and techniques for private and reliable outsourcing of design and compute-intensive tasks on cloud computing infrastructures. The thesis enables clients with limited processing capabilities to use the dynamic, cost-effective and powerful cloud computing resources, while having guarantees that their confidential data and services, and the results of their computations, will not be compromised by untrusted cloud service providers. The thesis contributes to the general area of cloud computing security by working in three directions. First, the design by selection is a new capability that permits the design of business processes by reusing some fragments in the cloud. For this purpose, we propose an anonymization-based protocol to secure the design of business processes by hiding the provenance of reused fragments. Second, we study two di_erent cases of fragments' sharing : biometric authentication and complex event processing. For this purpose, we propose techniques where the client would only do work which is linear in the size of its inputs, and the cloud bears all of the super-linear computational burden. Moreover, the cloud computational burden would have the same time complexity as the best known solution to the problem being outsourced. This prevents achieving secure outsourcing by placing a huge additional overhead on the cloud servers. This thesis has been carried out in Université Paris Descartes (LIPADE - diNo research group) and in collaboration with SOMONE under a Cifre contract. The convergence of the research fields of those teams led to the development of this manuscrit

Дисертація на здобуття наукового ступеня кандидата економічних наук за спеціальністю 08.00.04 – економіка та управління підприємствами (за видами економічної діяльності). – Національний технічний університет "Харківський політехнічний інститут", 2015. Дисертаційна робота присвячена питанням удосконалення системи управління інноваційним розвитком машинобудівних підприємств на основі реструктуризації. За результатами дослідження базових понять інноватики удосконалено дефініцію «управління інноваційним розвитком підприємства на основі реструктуризації». На основі виділення цільової складової інноваційного розвитку, складових інноваційного процесу, трирівневої структури інноваційного потенціалу та стратегічного й операційного контурів управління, вдосконалено теоретико-методичні положення з управління інноваційним розвитком підприємства на основі реструктуризації. За результатами позиціювання підприємств за типом інноваційного розвитку у тривимірній матриці «фінансово-економічний стан – результативність інноваційної діяльності – тип корпоративних зв'язків», побудовані профілі інноваційного розвитку, які покладені в основу методичного забезпечення оцінки стану інноваційного розвитку промислового підприємства. Для відстеження змін у стані інноваційної активності та підвищення результативності інноваційної діяльності підприємства вдосконалено науково-практичний підхід до формування системи моніторингу його інноваційної активності. З метою підвищення ефективності реформування системи управління інноваційним розвитком підприємства запропоновано теоретико-методичний підхід до формування стратегічних карт реструктуризації, які визначають комплекс заходів її здійснення. На основі застосування штучних нейронних мереж та визначенні комбінацій інструментарію реформування системи управління інноваційним розвитком промислового підприємства вдосконалено підхід щодо прогнозування результатів запровадження заходів реструктуризації. Основні положення роботи підтверджені практичними результатами їх впровадження на підприємствах машинобудування.
Thesis for a scientific degree of candidatein economic sciences majoring in 08.00.04 – economics and management (on different kinds of economic activity). – National technical university "Kharkiv polytechnic institute", 2015. The research is about the questions of improvement of control system by innovative development of machine-building enterprises on the basis of restructuring. As a result of research of base concepts of innovation determination of «enterprise innovation development management on the basis of restructuring» is improved. On the basis of selection of having a special purpose constituent of innovative development, constituents of innovative process, three-level structure of innovative potential and strategic and operating contours of management, it is improved theory-methodical position of the enterprise innovation development management on the basis of restructuring. As a result of keeping of enterprises on the type of innovative development in a three-dimensional matrix the «financial-economic condition is effectiveness of innovative activity – type of corporate connections», profiles of innovative development are built, which are fixed in basis of the methodical providing of estimation of innovative development of industrial enterprise. For watching of changes in the state of innovative activity and increase of efficiency of innovative activity of enterprise scientific-practical approach to forming of the system of monitoring of innovative activity is improved. For the increase of efficiency of reformation of control system by innovative development of enterprise it is offered theory-methodical approach to forming of strategic maps of restructuring, which determine the complex of measures of its realization. On the basis of application of artificial neuron networks and determination of combinations of tool of reformation of management system of innovative development of industrial enterprise approach to prediction of results of introduction of measures of restructuring is improved. The main lines of this research are confirmed by practical results on the enterprises of machine-building complex.

Дисертація на здобуття наукового ступеня кандидата економічних наук за спеціальністю 08.00.04 - економіка та управління підприємствами (за видами економічної діяльності). – Національний технічний університет «Харківський політехнічний інститут», 2015. Дисертаційна робота присвячена питанням удосконалення системи управління інноваційним розвитком машинобудівних підприємств на основі реструктуризації. За результатами дослідження базових понять інноватики удосконалено дефініцію «управління інноваційним розвитком підприємства на основі реструктуризації». На основі виділення цільової складової інноваційного розвитку, складових інноваційного процесу, трирівневої структури інноваційного потенціалу та стратегічного й операційного контурів управління, вдосконалено теоретико-методичні положення з управління інноваційним розвитком підприємства на основі реструктуризації. За результатами позиціювання підприємств за типом інноваційного розвитку у тривимірній матриці «фінансово-економічний стан – результативність інноваційної діяльності – тип корпоративних зв'язків», побудовані профілі інноваційного розвитку, які покладені в основу методичного забезпечення оцінки стану інноваційного розвитку промислового підприємства. Для відстеження змін у стані інноваційної активності та підвищення результативності інноваційної діяльності підприємства вдосконалено науково-практичний підхід до формування системи моніторингу його інноваційної активності. З метою підвищення ефективності реформування системи управління інноваційним розвитком підприємства запропоновано теоретико-методичний підхід до формування стратегічних карт реструктуризації, які визначають комплекс заходів її здійснення. На основі застосування штучних нейронних мереж та визначенні комбінацій інструментарію реформування системи управління інноваційним розвитком промислового підприємства вдосконалено підхід щодо прогнозування результатів запровадження заходів реструктуризації. Основні положення роботи підтверджені практичними результатами їх впровадження на підприємствах машинобудування.
Thesis for a scientific degree of candidatein economic sciences majoring in 08.00.04 – economics and management (on different kinds of economic activity). – National technical university «Kharkiv polytechnic institute», 2015. The research is about the questions of improvement of control system by innovative development of machine-building enterprises on the basis of restructuring. As a result of research of base concepts of innovation determination of «enterprise innovation development management on the basis of restructuring» is improved. On the basis of selection of having a special purpose constituent of innovative development, constituents of innovative process, three-level structure of innovative potential and strategic and operating contours of management, it is improved theory-methodical position of the enterprise innovation development management on the basis of restructuring. As a result of keeping of enterprises on the type of innovative development in a three-dimensional matrix the «financial-economic condition is effectiveness of innovative activity – type of corporate connections», profiles of innovative development are built, which are fixed in basis of the methodical providing of estimation of innovative development of industrial enterprise. For watching of changes in the state of innovative activity and increase of efficiency of innovative activity of enterprise scientific-practical approach to forming of the system of monitoring of innovative activity is improved. For the increase of efficiency of reformation of control system by innovative development of enterprise it is offered theory-methodical approach to forming of strategic maps of restructuring, which determine the complex of measures of its realization. On the basis of application of artificial neuron networks and determination of combinations of tool of reformation of management system of innovative development of industrial enterprise approach to prediction of results of introduction of measures of restructuring is improved. The main lines of this research are confirmed by practical results on the enterprises of machine-building complex.

碩士
國立交通大學
管理學院資訊管理學程
100
An original design manufacturer (ODM) is a company which designs and manufactures a product which is specified and eventually branded by another firm for sale. Many NB-generation plants have implemented ERP to achieve good business process management. Determining how to implement a business process monitoring system to efficiently monitor ERP (SAP) and maintain high performance of ERP (SAP), has become one of the important topics for notebook ODM manufacturers. In order to win orders, maintain a leading market position, and improve the company's future competitive advantage by implementing business process monitoring is a very important consideration. The focus of this thesis is to study implementing SAP BPMon for ERP business process monitoring. We based our procedure on the 80/20 rule, and key performance indicators selected some of the key business processes to implement a monitoring mechanism.