Background & aims: Prior research has, due to the ongoing Covid-19 pandemic and the resulting supply chain (SC) disruptions, increased the level of investigations in the field of SC resilience strategies. Even though many studies have been conducted within the field, little is known about the effectiveness and efficiency of those strategies. As food SC’s (FSC’s) are among the most important SC’s in our societies, their conservation is of great importance. As the operational purchasing process within the FSC was one of the areas within the SC that was strongly affected by the pandemic, this process will be the focus of the paper. This study seeks to identify the most applied SC resilience strategies for operational purchasing activities in FSC’s for various SC disruptions from a SME food retailers perspective. Furthermore, a framework of how to measure the effectiveness and efficiency of those strategies will be developed. Method: To collect relevant empirical data to answer the purpose of the study a qualitative multiple-interview study is conducted based on semi-structured interviews with respondents of the three different case companies. The case companies were selected and four interviews with one to two respondents per company were conducted. European SME food retailers of long shelf life goods are used as case companies to investigate the research gaps. Results: The study found out that the application of theory revealed the five most applied SC resilience strategies (SC flexibility, inventory management, end-to-end (E2E) SC visibility (SCV), information technology (IT) tools and SC cooperation) in operational purchasing, differences between SME food retailers according to their company size and maturity level. The KPIs identified to measure the effectiveness and efficiency of these SC resilience strategies were found to be applied. The KPIs provided are the basis for measurement opportunities that should be adapted and expanded depending on the business model and complexity of the company as part of the SC design. Contributions: The study adds value through theoretical and practical contributions of the most applied SC resilience strategies within operational purchasing from a SME food retailer perspective and their performance measurement system for measuring efficiency and effectiveness. Limitation & future research: The study is limited to the Covid-19 pandemic as a major reason for the triggering of the investigated SC disruptions. Further limitations can be seen within the selection of the case companies. Future research should investigate the differences between SME within their application of SC resilience strategies for their operational purchasing activities, just like the differences between strategic and operational purchasing. Key words: supply chain resilience strategy, supply chain disruption, Covid-19 pandemic, supply chain effectiveness, supply chain efficiency, performance measurements, key performance indicator, food supply chain, food retailers, purchasing process, operational purchasing

The construction industry has a great opportunity to streamline its operations even more by making greater use of the digital revolution. The industry today uses a lot of manual data management and analysis to get an overview of the business and to make decisions. This can be a time-consuming process that could be made more efficient through Business Intelligence (BI). BI is a technology that automatically, with the help of selected Key Performance Indicators (KPIs), shows the current status of how a business performs. This can allow managers and executives to make decisions easier and faster.This study examines which KPIs that are of common interest to companies and organizations in the construction industry as well as how these KPIs can be presented to the end users of a BI application. To investigate this, data is collected through literature studies and interviews, which results in a list of common KPIs for the industry. From this common list, a number of KPIs are selected to be visually represented.An analysis of the results, indicates that KPIs are of different importance and relevance depending on which sector of the construction industry the interviewee belongs to. There also appears to be sector-specific KPIs and the common list suggests that the profit margin is of great importance throughout the whole industry. KPIs can be represented in different types of charts and diagrams, depending on the purpose they hold, and should be designed so that they are intuitive and easy to understand. / Bygg- och hantverksbranschen har stor möjlighet att effektivisera sin verksamhet ännu mer genom att i större utsträckning utnyttja den digitaliserade utvecklingen. Branschen använder idag mycket manuell datahantering och manuell dataanalys för att få en överblick över verksamheten och ta beslut. Detta kan vara en tidskrävande process, som skulle kunna effektiviseras ytterligare genom Business Intelligence (BI). BI är en teknologi som automatiskt, med hjälp av valda nyckeltal (KPI:er), visar aktuell status på hur en verksamhet presterar. Detta kan göra att beslutsfattare kan fatta beslut enklare och snabbare.Denna studie undersöker vilka nyckeltal som är av gemensamt intresse för företag och organisationer i byggoch hantverksbranschen samt hur dessa nyckeltal kan presenteras för slutanvändarna av en BI-applikation. För att ta reda på detta samlas data in genom litteraturstudier och intervjuer, vilket resulterar i en lista över gemensamma KPI:er i branchen. Ur denna lista handplockas ett antal nyckeltal ut för att representeras visuellt.En analys av resultaten indikerar att nyckeltal är av olika vikt och relevans, beroende på vilken sektortillhörighet av byggoch hantverksbranschen den intervjuade tillhör. Det verkar även finnas sektorspecifika KPI:er samt att listan med de branchgemensamma nyckeltalen antyder att vinstmarginal är av stor vikt. KPI:er kan representeras i olika typer av diagram beroende på vilket syfte de innehar och bör designas så att de är intuitiva och lättförståeliga.

Learning-based testing is a testing paradigm that combines model-based testing with machine learning algorithms to automate the modeling of the SUT, test case generation, test case execution and verdict construction. A tool that implements LBT been developed at the CSC school at KTH called LBTest. LBTest utilizes machine learning algorithms with off-the-shelf equivalence- and model-checkers, and the modeling of user requirements by propositional linear temporal logic. In this study, it is be investigated whether LBT may be suitable for testing a micro bus architecture within an embedded telecommunication device. Furthermore ideas to further automate the testing process by designing a data model to automate user requirement generation are explored. / Inlärningsbaserad testning är en testningsparadigm som kombinerar model-baserad testning med maskininlärningsalgoritmer för att automatisera systemmodellering, testfallsgenering, exekvering av tester och utfallsbedömning. Ett verktyg som är byggt på LBT är LBTest, utvecklat på CSC skolan på KTH. LBTest nyttjar maskininlärningsalgoritmer med färdiga ekvivalent- och model-checkers, och modellerar användarkrav med linjär temporal logik. I denna studie undersöks det om det är lämpat att använda LBT för att testa en mikrobus arkitektur inom inbyggda telekommunikationsenheter. Utöver det undersöks även hur testprocessen skulle kunna ytterligare automatiseras med hjälp av en data modell för att automatisera generering av användarkrav.

During the thesis project, an evaluation tool was developed for Telenor. This tool identifies the most reliable cell within a site based on its standard deviation and systematically ranks the performance of each cell using key performance indicators (KPIs). The tool also calculates the mean and the median to allow the user to get an overview over the network performance. The analysis underscored the importance of robust network reliability, especially when considering the deployment of home care technologies in remote areas. The tool is designed to analyse extracted data, providing Telenor with a view of network performance and ensuring top-tier service quality in even the most remote and challenging terrains. / Under examensarbetet lades fokus på skapandet av ett utvärderingsverktyg för Telenor. Detta verktyg bestämmer den mest tillförlitliga cellen inom en basstation baserat på dess standardavvikelse för den analyserade KPI och klassificerar varje cells prestanda. Utöver det räknas medelvärdet och medianen ut för att användaren ska få en bättre översikt över nätverksprestandan. Utbyggnaden av hemvårdsteknologier i avlägsna områden tas särskilt i beaktande. Verktyget är designat för analys av data och ger en översikt över nätverkets prestanda, vilket kan bidra till att säkerställa optimal servicekvalitet.

<p>  </p> <p>Although airports of all sizes have incorporated sustainability practices into planning, there is a gap in literature concerning the impacts of sustainability initiatives on airport operations and stakeholders. This multiple case study sought to explore the impact assessment methods used by six small hub airports (cases) that received the Federal Aviation Administration (FAA) airport sustainability Airport Improvement Program (AIP) grants to prepare airport sustainability planning documents.</p> <p>The objective of the study was twofold. The first objective was to gain in-depth understanding of sustainability metrics and Key Performance Indicators (KPIs), and sustainability impact assessment methods and tools used by small hub airports. The second objective was to develop a preliminary framework for assessing the impacts of sustainability initiatives in airports. Three types of data were collected airport sustainability planning documents, archival records, and interviews with 14 airport executives and two airport planning consultants. Sustainability planning processes, sustainability assessment methods and tools, and sustainability metrics and KPIs were identified from data for each case and compared to one of the most comprehensive industry-specific airport sustainability rating systems, the Airport Cooperative Research Program (ACRP) <em>Report 119: Protype Airport Sustainability Rating System: Characteristics, Viability, and Implementation Options</em>. Interview responses from airport executives and consultants were used to corroborate information in the sustainability planning documents.</p> <p>The findings of this study showed more commonalities than differences in the approaches to sustainability impact assessment by the six small hub airports in this study. Commonalities were evident in the criteria for selecting sustainability initiatives, indicating that cost and return on investment were the major factors. In addition, small hub airports in this study reported similar challenges on tracking sustainability metrics and KPIs, indicating that more work is needed in this area. The differences noted were driven by airport operating conditions such as geographical location and local community goals. </p>

El Terrorismo alimentario ha sido definido por la Organización Mundial de la saludos como "un acto o intento deliberado de contaminación de alimentos para consumo humano con agentes químicos, físicos o microbiológicos para el propósito de causar daño o muerte a poblaciones civiles o para interrumpir la estabilidad social, política o económica"(WHO,2008) La biodiversidad, según la Association of food and drug Officials de los EEUU, abarca los medios para prevenir y eliminar cualquier acción intencional de adulteración de alimentos destinada a provocar consecuencias negativas graves para la salud o la muerte de personas o animales, ocasionar daños a las economías de los paises como consecuencia de retricciones comerciales internacionales derivadas de la aparición de enfermedades y la falta de confianza en los controles sanitarios locales... / Navarrete Reynoso, R. (2013). MODELO DE BIOSEGURIDAD EN LA CADENA DE SUMINISTROS DE PRODUCTOS ALIMENTICIOS, TENIENDO EN CUENTA LA GESTIÓN DE LA CADENA DE SUMINISTROS Y LA VISIÓN DE PROCESOS DE NEGOCIO. APLICACIÓN A LA INDUSTRIA ALIMENTICIA, DE LA ZONA DEL BAJÍO (MÉXICO) [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/19159

[ES] El judo es un deporte complejo donde hay identificadas muchas variables multidisciplinares como por ejemplo la fuerza, la potencia, la velocidad, las habilidades técnicas y tácticas, la motivación, la gestión del estrés o la alimentación que tienen una importancia clave e influyen en el resultado final de los combates. Si bien muchos trabajos académicos han estudiado estas variables, generalmente de forma aislada o combinando unas pocas normalmente del mismo ámbito, se ha detectado que no existen estudios que hayan analizado un conjunto de variables multidisciplinares heterogéneas de manera integral, considerando al mismo tiempo variables de diferentes ámbitos (por ejemplo físicas, técnicas, psicológicas, de estilo de vida, etc) y analizado su impacto sobre el rendimiento estratégico de los judokas. Además, una vez que se han identificado esas variables multidisciplinares, es complejo determinar cuáles de ellas están directamente relacionadas con la capacidad del judoka para alcanzar sus objetivos estratégicos, los cuales pueden definirse como las principales metas estratégicas que el deportista pretende alcanzar a medio-largo plazo (por ejemplo, obtener la clasificación para los Juegos Olímpicos), y que por tanto condicionan el esfuerzo y la planificación del deportista. Por tanto, esta Tesis Doctoral desarrolla una propuesta metodológica para identificar, priorizar y cuantificar el impacto de variables multidisciplinares sobre el rendimiento en el ámbito del judo, proporcionando una visión más completa y global y, por extensión, valiosa información adicional para tomar decisiones importantes tales como preparar planes de entrenamiento o planificar el calendario de competiciones. Para ello, se aplica una técnica de ayuda a la toma de decisiones multicriterio, el Analytic Network Process, la cual posibilita la evaluación y cuantificación conjunta de dichas variables multidisciplinares, las cuales son heterogéneas y de las que de muchas no se poseen datos históricos y cuyo impacto sobre el rendimiento del judoka es difícil de determinar. En este sentido, es necesario tener en cuenta que existen también otras relaciones importantes, las interrelaciones entre variables, que también deben evaluarse. Por tanto, se consideran las siguientes relaciones entre variables: Relaciones entre un conjunto de variables multidisciplinares claves del judo y el rendimiento del deportista. Interrelaciones entre las variables multidisciplinares claves del judo que afectan al rendimiento. Interrelaciones entre los objetivos estratégicos definidos y que representan el rendimiento del deportista. Por todo ello, la presente Tesis Doctoral se estructura en diferentes capítulos de la siguiente forma: El Capítulo 1 describe el planteamiento y la estructura de la Tesis Doctoral. En el Capítulo 2 se realiza una revisión bibliográfica de los principales trabajos científicos, justificando el hueco investigador e identificando las principales variables multidisciplinares de judo. En el Capítulo 3 se lleva a cabo un estudio práctico de la importancia de las variables técnico-tácticas en judo, analizando para ello todos los torneos de judo de élite (Grand Prix, Gran Slam, Master y Campeonato del Mundo) celebrados en el año 2019. En el Capítulo 4 se presenta la propuesta metodológica desarrollada en el ámbito de la Tesis. Para ello, inicialmente se justifica el uso del Analytic Network Process como Técnica Multicriterio de Ayuda a la Toma de Decisiones más adecuada para aplicar en la presente Tesis, describiendo a continuación las cuatro fases de la metodología desarrollada. En el Capítulo 5 se aplica la propuesta metodológica al Centro de Alto Rendimiento de Judo de Valencia, donde un grupo de expertos formado a tal fin desarrolla las cuatro fases de la metodología para la categoría de -66 kgs. En el Capítulo 6 se presentan las principales conclusiones de la Tesis Doctoral y se proponen líneas futuras de investigación. / [CA] El judo és un esport complex on hi ha identificades moltes variables multidisciplinars com ara la força, la potència, la velocitat, les habilitats tècniques i tàctiques, la motivació, la gestió de l'estrès o l'alimentació que tenen una importància clau i influeixen en el resultat final dels combats. Si bé molts treballs acadèmics han estudiat aquestes variables, generalment de forma aïllada o combinant unes poques normalment de el mateix àmbit, s'ha detectat que no hi ha estudis que hagin analitzat un conjunt de variables multidisciplinars heterogènies de manera integral, considerant a el mateix temps variables de diferents àmbits (per exemple físiques, tècniques, psicològiques, d'estil de vida, etc.) i analitzat el seu impacte sobre el rendiment dels judokes. A més, una vegada que s'han identificat aquestes variables multidisciplinars, és complex identificar quines d'elles estan directament relacionades amb la capacitat de l'judoka per assolir els seus objectius estratègics, els quals poden definir-se com les principals fites estratègiques que l'esportista pretén assolir a mig-llarg termini (per exemple, obtenir la classificació per als Jocs Olímpics), i que per tant condicionen l'esforç i la planificació de l'esportista. Per tant, aquesta tesi doctoral desenvolupa una proposta metodològica per identificar, prioritzar i quantificar l'impacte de variables multidisciplinars sobre el rendiment en l'àmbit de l'judo, proporcionant una visió més completa i global i, per extensió, valuosa informació addicional per prendre decisions importants tals com preparar plans d'entrenament o planificar el calendari de competicions. Per a això, s'aplica una tècnica d'ajuda a la presa de decisions multicriteri, l'Analytic Network Process, la qual possibilita l'avaluació i quantificació conjunta d'aquestes variables multidisciplinars, les quals són heterogènies i de les que moltes no es posseeixen dades històriques i el impacte sobre el rendiment de l'jukoka és difícil de determinar. En aquest sentit, cal tenir en compte que existeixen també altres relacions importants, les interrelacions entre variables, que també s'han d'avaluar. Per tant, es consideren les següents relacions entre variables: Relacions entre un conjunt de variables multidisciplinars clau de judo i el rendiment de l'esportista. Interrelacions entre les variables multidisciplinars clau de judo que afecten el rendiment. Interrelacions entre els objectius estratègics definits i que representen el rendiment de l'esportista. Per tot això, la present Tesi Doctoral s'estructura en diferents capítols de la següent manera: El capítol 1 descriu el plantejament i l'estructura de la tesi doctoral. En el capítol 2 es realitza una revisió bibliogràfica dels principals treballs científics, justificant el buit investigador i identificant les principals variables multidisciplinars de judo. En el capítol 3, es porta a terme un estudi pràctic de la importància de les variables tècnic-tàctiques en judo, analitzant per a això tots els tornejos de judo d'elit (Grand Prix, Gran Slam, Master i Campionat del Món) celebrats a l'any 2019. En el capítol 4 es presenta la proposta metodològica desenvolupada en l'àmbit de la Tesi. Per a això, inicialment es justifica l'ús de l'Analytic Network Process com a Tècnica Multicriteri d'Ajuda a la Presa de Decisions més adequada per aplicar en la present Tesi, presentant a continuació les quatre fases de la metodologia desenvolupada. En el Capítol 5 s'aplica la proposta metodològica a el Centre d'Alt Rendiment de Judo de València, on un grup d'experts format a aquest fi desenvolupen les quatre fases de la metodologia per a la categoria de -66 kg. En el capítol 6 es presenten les principals conclusions de la tesi doctoral i es proposen línies futures d'investigació. / [EN] Judo is a complex sport where many multidisciplinary key variables, i.e. strength, power, speed, technical and tactical abilities, motivation or estrés management, which have a significant impact on the final result of combats have been identified. However, these studies have usually focused on either only one or a few variables from the same ambit instead of considering a full set of heterogeneous multidisciplinary variables at the same time, which are of different ambits such as physical, tactical-technical, psychological or lifestyle and, at the same time, assessing their impact over judokas' performance. Additionally, once these multidisciplinary variables are identified, it is a complex process to determine which ones are directly linked with the capacity of the athlete for reaching his/her strategic objectives, which can be defined as the main medium-long term strategic goals (i.e. to get the classification for the Olympic Games) and which, therefore, condition the judokas efforts and planning. Then, this Doctoral PhD Thesis develops a methodological proposal for identifying, priorisiting and quantifying the impact of a set of multidisciplinary variables on the strategic performance of judokas, providing a more complete and global vision and, extensively, valuable additional information to make important decisions such as designing training plans or planning the competitions calendar. To this end, a Multi-Criteria Decision Technique, the Analytic Network Proces, is applied, which allows to jointly evaluate and quantify such a set of multidisciplinary variables, which are heterogeneous and which many of them lack of historical data and whose impact on the judoka's performance is very difficult to determine. In this sense, it is also necessary to take into account the existence of other type of relationship, the inter-relationships between the multidisciplinary variables, which should also be assessed. Then the next relationships between variables are considered: Relationships between a set of multidisciplinary variables of judo that are affecting to the judoka's performance. Inter-relationships between the judo multidisciplinary variables. Inter-relationships between the strategic objectives that represent the judoka's performance. Therefore, this Doctoral PhD Thesis is structured as follows: In Chapter 1, the approach and structure are presented. In Chapter 2, a literature review is carried out, justifying the research gap and identifying the main judo multidisciplinary variables. In Chapter 3, a practical study of the importance of the tactical-variables in judo is carried out, analysing all the judo ellite tournaments of 2019. Chapter 4 presents the methodological proposal, justifying initially the application of the Analytic Network Process and then the phases of the methodology. In Chapter 5, the methodological proposal is applied to the High Performance Judo Center of Valencia, where a judo expert group applies the phases of the methodology for the under 66 kgs category. In Chapter 6, the main conclusions as well as the future research lines are presented. / Uriarte Marcos, S. (2021). Propuesta para identificar, priorizar y cuantificar el impacto de variables multidisciplinares sobre el rendimiento deportivo de élite aplicando Analytic Network Process. Una aplicación al Centro de Alto Rendimiento de Judo de Valencia [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/165363

Global consumption levels currently extend far beyond what planet Earth in terms of natural resources can regenerate in a sustainable manor and will by 2050 reach levels corresponding to what it would require three Earths to sustain. This overexploitation and unsustainable management of the Earth’s resources in combination with the necessity of mitigating climate change and reaching net zero CO2 emissions by 2050 require action across all sectors, not least the manufacturing industry. This thesis covers how large manufacturing enterprises can implement and utilize strategic targets and Key Performance Indicators (KPIs) to align with the principles of a Circular Economy (CE), and as a result, improve sustainability and business performance. Based on a case study conducted at Siemens Energy (SE) involving a literature study, interview study, and focus groups, a carefully selected set of strategic circularity targets and KPIs are presented to measure, evaluate, and drive circularity performance within large manufacturing enterprises. Since the thesis’ ambition was to provide valuable insights beyond SE, strategic circularity targets and KPIs specifically directed at SE were further generalized to be universally relevant for academia and other large manufacturing enterprises. Enterprises within the given sector share several key characteristics such as extensive material resource flows and complex value chains, hence strategic targets and KPIs emphasize material efficiency through decreasing virgin material dependency, increasing recirculation rates, and transitioning towards circular business models. While suggested targets and KPIs are universally directed at large manufacturing enterprises, individual organizations are recommended to conduct internal investigations and analyzes to further tailor and adapt strategic targets and KPIs towards the specific enterprise. In addition to strategic targets and KPIs, the thesis also presents an overview of opportunities, benefits, risks, and potential impacts for large manufacturing enterprises aspiring to increase circular initiatives, highlighting key principles to manage risk and capitalize on opportunities. The findings conclude that the main opportunity enabled by CE is to leverage synergies which align environmental, economic, and strategic corporate incentives, with key benefits including aspects such as decarbonization and reduced environmental impact, increased revenues and cost savings, risk management, and new business opportunities. Risks associated with CE include rebound effects, organizational insufficiencies, lack of material quality and safety, as well as a low product performance, which further can lead to potential impacts mitigating the positive effects of CE, or at worst setbacks causing a net negative output from implemented circular measures. In summary, the opportunities and benefits associated with CE are many, but implemented circular measures require risk awareness and continuous management to ensure efficiency.

The dairy industry is a complex system that involves many stakeholders and processes, from production to distribution. To measure and improve the performance of this system, a comprehensive and reliable Performance Measurement System (PMS) is needed. A PMS is a tool that helps to evaluate the efficiency and effectiveness of supply chain operations. One of the components of a PMS is the key performance indicators (KPIs), which reflect the performance of specific aspects of the supply chain. This thesis explores how KPIs can be used to enhance logistics performance in the dairy industry. The research is based on a single case study of a global company that operates in the dairy sector, which faces challenges such as high competition, customer demand variability, and food waste. The research uses a mix of literature review, interviews, and data analysis to identify and evaluate the relevant KPIs for logistics performance, as well as their interrelationships and impacts. The research applies the interpretive structural modeling (ISM) method to develop a hierarchical model of the KPIs and their causal relationships. The interpretive structural model of the indicators shows that the current indicators commonly used in the dairy industry today are not suitable for measuring performance, the indicators do not affect the current performance significantly but rather reflect the. This paper proposes a methodology for qualitatively evaluating performance measures, based on the integration of the ISM approach, the MICMAC analysis, and the seven criteria of a KPI. The ISM approach is a technique for identifying and analyzing the interrelationships among elements of a complex system. By applying this methodology, organizations and researchers can assess the suitability and importance of a set of KPIs. / Mejeriindustrin är ett komplext system som involverar många intressenter och processer, från produktion till distribution. För att mäta och förbättra systemets prestanda behövs ett heltäckande och tillförlitligt system för prestationsmätning (PMS). Ett PMS är ett verktyg som hjälper till att utvärdera effektiviteten i leveranskedjans verksamhet. En av komponenterna i ett PMS är nyckeltal (KPI:er), som är mått som återspeglar prestandan för specifika aspekter av leveranskedjan. Denna studie syftar till att undersöka hur KPI:er kan användas för att förbättra logistiken inom mejeriindustrin. Forskningen baseras på en fallstudie av ett globalt företag som är verksamt inom mejerisektorn, som står inför utmaningar som hög konkurrens, varierande kundefterfrågan och matsvinn. Forskningen använder en blandning av litteraturstudier, intervjuer och dataanalys för att identifiera och utvärdera relevanta KPI:er för logistikprestanda, samt deras inbördes relationer och påverkan. Forskningen tillämpar metoden ISM (Interpretive Structural Modeling) för att utveckla en hierarkisk modell av KPI:erna och deras orsakssamband. Den tolkande strukturella modellen av indikatorerna visar att de nuvarande indikatorerna som vanligtvis används i mejeriindustrin idag inte är lämpliga för att mäta prestanda, indikatorerna påverkar inte den nuvarande prestationen avsevärt utan återspeglar snarare resultaten. I denna rapport föreslås en metod för att utvärdera prestationsmått på ett kvalitativt sätt, baserat på integrationen av ISM-metoden, MICMAC-analysen och de sju kriterierna för en KPI. ISM-metoden är en teknik för att identifiera och analysera de inbördes relationerna mellan olika delar i ett komplext system. Genom att tillämpa denna metod kan organisationer och akademiker utvärdera lämpligheten och vikten av en uppsättning eller en KPI.

Organizations use Business Intelligence (BI) systems to monitor how well they are meeting their goals and objectives. Yet, very often BI systems do not include clear models of the organization’s goals or of how to measure whether they are satisfied or not. Several researchers now attempt to integrate goal models into BI systems, but there are still major challenges related to how to get access to the BI data to populate the part of the goal model (often indicators) used to assess goal satisfaction. This thesis explores a new approach to integrate BI systems with goal models. In particular, it explores the integration of IBM Cognos Business Intelligence, a leading BI tool, with an Eclipse-based goal modeling tool named jUCMNav. jUCMNav is an open source graphical editor for the User Requirements Notation (URN), which includes the Use Case Map notation for scenarios and processes and the Goal-oriented Requirement Language for business objectives. URN was recently extended with the concept of Key Performance Indicator (KPI) to enable performance assessment and monitoring of business processes. In jUCMNav, KPIs are currently calculated or modified manually. The new integration proposed in this thesis maps these KPIs to report elements that are generated automatically by Cognos based on the model defined in jUCMNav at runtime, with minimum effort. We are using IBM Cognos Mashup Service, which includes web services that enable the retrieval of report elements at the most granular level. This transformation provides managers and analysts with useful goal-oriented and process-oriented monitoring views fed by just-in-time BI information. This new solution also automates retrieving data from Cognos servers, which helps reducing the high costs usually caused by the amount of manual work required otherwise. The novel approach presented in this thesis avoids manual report generation and minimizes any contract with respect to the location of manually created reports, hence leading to better usability and performance. The approach and its tool support are illustrated with an ongoing example, validated with a case study, and verified through testing.