Moottorimalliton skalaarisäätö

Työssä tutkitaan nopeusanturittoman vaihtovirtakäytön skalaarisia ohjaus- ja säätömenetelmiä. Työn alussa esitetään perusteoriat taajuusmuuttajista ja oikosulkumoottoreista. Tämän jälkeen esitellään yleisimmin kirjallisuudessa esiintyneet skalaariohjaukset ja –säädöt. Vektorisäätöä ja erityisesti moottoriparametrien vaikutusta säädön toimivuuteen esitellään lyhyesti. Työn tavoitteena on ACS800 taajuusmuuttajan skalaarisäädön tutkiminen. ACS800:n nykyinen skalaarisäätö on liian sidoksissa vektorisäätöön, joten simulointien ja kirjallisuustutkimuksen tarkoituksena on täysin vektorisäädöstä eriytetyn skalaarisäädön kehitysmahdollisuuksien tutkiminen. Kirjallisuudessa esiintyneiden säätöjen avulla muodostetaan diskreettiaikainen toteutus skalaarisäädölle vaihtovirtakäytössä, jossa on käytössä virran ja välipiirijännitteen takaisinkytkentä. Säädettävää moottoria mallinnetaan jatkuvaaikaisella L-sijaiskytkennällä. Välipiirin mallinnus toimii myös jatkuva-aikaisena lukuun ottamatta välipiirin tasavirtakomponenttia, joka muodostetaan virran takaisinkytkennän ja PWM-modulaattorin kytkinasentojen avulla. Simuloinnin tarkoituksena on mallintaa skalaarisäädön suurimpia ongelmia, kuten virta- ja välijännitesäätöä. Tuloksista voidaan päätellä, että perussäädöt toimivat moitteettomasti, mutta erityisesti virtasäätöä tulisi kehittää.

Sähkönsiirtoyritysten kunnossapidon taloudellinen malli

Sähkönsiirtoyritysten kunnossapidon taloudellinen malli eli SKUTMA, on sähköverkkoyhtiöille suunniteltu luotettavuuspohjainen kunnossapitomalli, mikä priorisoi ja ajoittaa sähkönjakeluverkon komponenttien huolto- ja investointiajankohdat. Malli hyödyntää dynaamisen optimoinnin algoritmia kustannusminimien löytämiseksi tarkastelujaksolta ja simuloi komponenttien rappeutumasta rappeutumismallin avulla. Tässä diplomityössä on kehitetty kunnossapito-ohjelma SKUTMA-mallin pohjalta, minkä avulla tutkitaan mallin toimivuutta oikeilla johtolähdöillä ja sen hyödyntämistä sähköverkkojen kunnossapidon suunnittelussa. Työssä käydään läpi myös kunnossapitoohjelman laskenta metodiikkaa ja sen ominaisuuksia. Tämän työn lopputuloksena saadaan selkeä kuva mallin toiminnasta, käytettävyydestä ja jatkokehityspotentiaalista.

Towards Inter-organizational Working Capital Management

Working capital is an investment which is tied up into the inventories and accounts receivable and which is released with accounts payable. Due to the current business landscape with tightened financial conditions and finance markets, organizations emphasize efficient working capital management. With efficient working capital management, a company can reduce the need of finance, free up cash, increase profitability, improve liquidity, increase the efficiency of operations, and decrease (financing) costs. From the perspective of an individual company, efficient working capital management means decreasing inventory levels by shortening the cycle time of inventories, decreasing accounts receivable by shortening the trade credit terms and effective collection procedures, and increasing the level of accounts payable by paying the suppliers later. From an inter-organizational perspective, however, working capital should not be sub-optimized by a single company but holistic view to working capital management through the supply chain should be adopted to create value and improve performance together. The purpose of this research is to take academic research as well as practical management towards inter-organizational working capital management. The thesis discusses the benefits as well as mechanisms of working capital management in the inter-organizational context and has two main objectives: (1) to examine the effect of inter-organizational working capital management on performance in the value chain context and (2) to develop models of working capital management for internal as well as inter-organizational value chains. The results of the archival research conducted in the value chain of the pulp and paper industry and the value chain of the automotive industry indicate that companies can increase relative profitability by managing working capital comprehensively by taking into account all three components, and holistically though the value chain. Companies in the value chain benefit from different strategies in working capital management depending on the position of the company in the value chain. This can be taken into account in inter-organizational working capital management. The effects of inter-organizational working capital management actions on the financing costs of working capital were studied via simulations. Simulations also show that the value chain and individual companies benefit from an inter-organizational view to working capital management. Inter-organizational working capital management actions include for example: shortening the cycle time of inventories, reducing product costs, shifting inventories, shortening payment terms, and considering the cost of capital. The thesis also provides solutions for the practical requirements for tools to control working capital. The design science part of the research introduces the adjusted cash conversion cycle (ACCC) model for internal value chains, as well as models for working capital management in the inter-organizational value chain context: the working capital management model (WCMM) and the financial cycle time model (FCTM) designed in corporation and product levels respectively. This research contributes to literature on working capital management and interorganizational accounting. The research gives a holistic, inter-organizational view to the management of working capital. It advances the knowledge in working capital management on operational level, increases knowledge in the recently risen theme of supply chainoriented, collaborative working capital management, combines management accounting research with supply chain management research, and contributes to the demand of practical inter-organizational accounting methods. In addition, the research has strong practical focus as new managerial methods are introduced.

Metsäteollisuuden puunhankinnan ohjaus: Hankintalähteen kannattavuus ja siihen vaikuttavat tekijät

Tutkielmassa rakennettiin laskentamalli metsäteollisuuden puunhankinnan hankintalähteen kannattavuuden määrittämiseksi ja selittämiseksi. Tutkimuksessa noudatettiin konstruktiivisen tapaustutkimuksen tutkimusotetta. Tutkimuksen kohdeorganisaationa oli kansainvälisesti toimivan metsäteollisuusyrityksen Suomen puunhankintaorganisaatio. Kannattavuusmalli määrittelee hankintalähteen kannattavuuden sekä käsitteellisellä että laskentamenettelyn tasolla. Kannattavuusmallin katesuure on porttikate, joka rakennettiin taloudellisen lisäarvon teoriaan nojaten kohdeorganisaation tarpeiden ja sen laskenta-asiantuntijoiden näkemysten perusteella. Kannattavuusmallin rakenne ja osat kuvattiin seikkaperäisesti. Kannattavuusmallin käyttämän liiketoimintadatan poiminta ja laskentasuureiden raportointi testattiin. Mallin tarvitsemat laskentatiedot on saatavissa kohdeorganisaation kehitteillä olevasta toiminnanohjausjärjestelmästä. Laskentamallin hyödyntämismahdollisuudet arvioitiin. Hankintalähteen kannattavuutta mittaavalla porttikatteella voidaan ohjata puunhankintaorganisaatiota sen tavoitteiden saavuttamisessa. Malli ilmaisee porttikatteeseen vaikuttavien tekijöiden vaikutuksen kannattavuuteen, minkä avulla voidaan tehdä parempia päätöksiä hankintalähteiden hyödyntämisessä. Aiemmista tutkimuksista poiketen malli huomioi hankintalähteen suoritteen arvon tärkeimmille asiakastehtaille perustuen todellisiin liiketapahtumiin. Kannattavuusmallia voidaan hyödyntää laajalti metsäteollisuusyritysten tavaralajimenetelmään perustuvassa puunhankinnassa. Kannattavuusmallin rakentaminen rohkaisee puunhankinnan johtoa ja laskentahenkilöitä hedelmällisen yhteistyöhön.

Translational models of coronary artery disease, myocardial infarction and heart failure. Development, validation and in vivo imaging studies using positron emission tomography

Coronary artery disease is an atherosclerotic disease, which leads to narrowing of coronary arteries, deteriorated myocardial blood flow and myocardial ischaemia. In acute myocardial infarction, a prolonged period of myocardial ischaemia leads to myocardial necrosis. Necrotic myocardium is replaced with scar tissue. Myocardial infarction results in various changes in cardiac structure and function over time that results in “adverse remodelling”. This remodelling may result in a progressive worsening of cardiac function and development of chronic heart failure. In this thesis, we developed and validated three different large animal models of coronary artery disease, myocardial ischaemia and infarction for translational studies. In the first study the coronary artery disease model had both induced diabetes and hypercholesterolemia. In the second study myocardial ischaemia and infarction were caused by a surgical method and in the third study by catheterisation. For model characterisation, we used non-invasive positron emission tomography (PET) methods for measurement of myocardial perfusion, oxidative metabolism and glucose utilisation. Additionally, cardiac function was measured by echocardiography and computed tomography. To study the metabolic changes that occur during atherosclerosis, a hypercholesterolemic and diabetic model was used with [18F] fluorodeoxyglucose ([18F]FDG) PET-imaging technology. Coronary occlusion models were used to evaluate metabolic and structural changes in the heart and the cardioprotective effects of levosimendan during post-infarction cardiac remodelling. Large animal models were used in testing of novel radiopharmaceuticals for myocardial perfusion imaging. In the coronary artery disease model, we observed atherosclerotic lesions that were associated with focally increased [18F]FDG uptake. In heart failure models, chronic myocardial infarction led to the worsening of systolic function, cardiac remodelling and decreased efficiency of cardiac pumping function. Levosimendan therapy reduced post-infarction myocardial infarct size and improved cardiac function. The novel 68Ga-labeled radiopharmaceuticals tested in this study were not successful for the determination of myocardial blood flow. In conclusion, diabetes and hypercholesterolemia lead to the development of early phase atherosclerotic lesions. Coronary artery occlusion produced considerable myocardial ischaemia and later infarction following myocardial remodelling. The experimental models evaluated in these studies will enable further studies concerning disease mechanisms, new radiopharmaceuticals and interventions in coronary artery disease and heart failure.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.