Bioenergia – verkoston operatiivinen ja strateginen kehittäminen

Nykypäivän entisestään kovenevassa globaalissa liiketoimintaympäristössä jatkuvan ja pitkäaikaisen kilpailukyvyn ylläpitämiseen ja kehittämiseen vaaditaan laajalti kyvykkyyksiä, kompetensseja ja erilaisia resursseja. Etenkään pienet yritykset eivät pysty vastaamaan nykypäivän liiketoiminnan vaatimuksiin ja tavoitteisiin, jolloin ne tarvitsevat osaamista ja resursseja ulkopuolisilta toimijoilta, jopa mahdollisilta kilpailijoiltaan. Painotus on kilpailutilanteessa siirtynyt yksittäisistä yrityksistä verkostojen välisiksi turnauksiksi liiketoiminnan armottomilla pelikentillä. Diplomityö pohjautuu Lappeenrannan teknillisen yliopiston tutkimuskeskuksessa (TBRC) toteutettuun moniosaiseen tutkimukseen lämpöliiketoiminnan verkostorakenteista ja niiden ominaisuuksista. Tavoitteena on yleisen tietouden kasvattaminen pienten lämpölaitosalan toimijoiden verkostorakenteista, niiden eroista ja tulevaisuuden kehitysmahdollisuuksista. Pääpaino diplomityössä on juuri verkostojen kuvaamisella ja tietouden kasvattamisella, mutta myös rakenteiden ja toimintojen kehittämisessä vertikaalisen ja horisontaalisen verkostokehityksen viitekehyksen avulla, huomioiden operatiiviset ja strategiset tarpeet kilpailukyvyn ylläpitämisessä. Tutkimuksessa tunnistettiin huomattavia eroavaisuuksia lämpölaitosten toiminta-tavoissa sekä verkostorakenteissa ja niissä tapahtuvissa transaktioissa. Kirjallisuudessa esitettyjä onnistuneiden ja tehokkaasti toimivien verkostojen ominaisuuksien korrelaatioita lämpöliiketoiminnan operatiivisiin ja strategisiin toimintoihin vertaillaan tarkoitukseen muokatulla laadun talo -matriisilla. Tärkeimmiksi tulevaisuuden kehityskohteiksi analyysien perusteella havaittiin resurssien ja tietotaidon tehokkaamman jakamisen, yhteistyösuhteiden laajuuksien ja lukumäärien kasvattamisen sekä yhteistyösuhteiden strategisuuden lisäämisen.

Knowledge sharing in intrafirm networks in organization

The objective of this study was research the shared knowledge and the means of sharing with the help of social network analysis. The purpose of this study was to give descriptive information to case-organization about its situational network status in different units. The premise of the study is the success of organizational competences and networks, especially when it comes to the sharing of knowledge. The research was accomplished in a TEKES –projects, Developing Network-Based Services – The Role of Competences and Networks COMNET –projects case-organization. Lappeenranta School of Business and the case-organization started the project in co-operation. The baseline for the study was organizational competencies and organizational networks as success factors, especially from the knowledge sharing’s point of view. The research was based on triangulation, which included pre-interviews, network analyses accomplished by Webropol –e-mail survey and qualitative interviews. The results indicated that regular unit meetings were experienced to be the most important method of knowledge sharing along with e-mailing, intranet and weekly bulletins. The co-operation between units was also experienced to be important when evaluating knowledge sharing and communication. The intrafirm network was experienced tight. Dispersed units and partly unclear means of information sharing were the biggest obstacles for information communication. Knowledge sharing, communication with others and trainings were seen important in the case-organization.

Yleisömäärää selittävät muuttujat ja niiden vaikutus seurojen talouteen: Jääkiekon SM-liiga

Tämän tutkimuksen tavoitteena on selvittää jääkiekon SM-liigaotteluiden yleisömäärään vaikuttavia tekijöitä. Jääkiekkoliiketoimintaa harjoittavien yritysten parissa työskentelevillä on vahvat näkemykset urheilumenestyksen vaikutuksesta yleisömäärään, ja sitä kautta seurojen talouteen. Tilastollista tukea näkemyksille ei kuitenkaan ole ollut saatavilla. Aiemmat urheiluliiketoimintaa käsitelleet tutkimukset ovat keskittyneet pääosin taloudelliseen tulokseen, eikä niinkään siihen, miten taloudelliseen tulokseen päädytään. Tutkimus toteutetaan luomalla viisi erilaista yleisömäärää selittävää mallia lineaarista regressioanalyysiä hyödyntäen. Tutkimustulokset osoittavat, että otteluiden yleisömääriä voidaan selittää tilastollisen analyysin avulla. Tulosten perusteella kaikki yleisömäärään liittyvät hypoteesit eivät kuitenkaan ole niin merkitseviä kuin hypoteesien mukaan oletetaan. Tarkastelujakson globaali talouden taantuma loi omat haasteensa urheiluliiketoimintaa harjoittaville yrityksille, mutta taloudellisesti haastava tutkimusajanjakso ei vaikuta olennaisesti tutkimustuloksiin.

Mapping financial stability

The ongoing global financial crisis has demonstrated the importance of a systemwide, or macroprudential, approach to safeguarding financial stability. An essential part of macroprudential oversight concerns the tasks of early identification and assessment of risks and vulnerabilities that eventually may lead to a systemic financial crisis. Thriving tools are crucial as they allow early policy actions to decrease or prevent further build-up of risks or to otherwise enhance the shock absorption capacity of the financial system. In the literature, three types of systemic risk can be identified: i ) build-up of widespread imbalances, ii ) exogenous aggregate shocks, and iii ) contagion. Accordingly, the systemic risks are matched by three categories of analytical methods for decision support: i ) early-warning, ii ) macro stress-testing, and iii ) contagion models. Stimulated by the prolonged global financial crisis, today's toolbox of analytical methods includes a wide range of innovative solutions to the two tasks of risk identification and risk assessment. Yet, the literature lacks a focus on the task of risk communication. This thesis discusses macroprudential oversight from the viewpoint of all three tasks: Within analytical tools for risk identification and risk assessment, the focus concerns a tight integration of means for risk communication. Data and dimension reduction methods, and their combinations, hold promise for representing multivariate data structures in easily understandable formats. The overall task of this thesis is to represent high-dimensional data concerning financial entities on lowdimensional displays. The low-dimensional representations have two subtasks: i ) to function as a display for individual data concerning entities and their time series, and ii ) to use the display as a basis to which additional information can be linked. The final nuance of the task is, however, set by the needs of the domain, data and methods. The following ve questions comprise subsequent steps addressed in the process of this thesis: 1. What are the needs for macroprudential oversight? 2. What form do macroprudential data take? 3. Which data and dimension reduction methods hold most promise for the task? 4. How should the methods be extended and enhanced for the task? 5. How should the methods and their extensions be applied to the task? Based upon the Self-Organizing Map (SOM), this thesis not only creates the Self-Organizing Financial Stability Map (SOFSM), but also lays out a general framework for mapping the state of financial stability. This thesis also introduces three extensions to the standard SOM for enhancing the visualization and extraction of information: i ) fuzzifications, ii ) transition probabilities, and iii ) network analysis. Thus, the SOFSM functions as a display for risk identification, on top of which risk assessments can be illustrated. In addition, this thesis puts forward the Self-Organizing Time Map (SOTM) to provide means for visual dynamic clustering, which in the context of macroprudential oversight concerns the identification of cross-sectional changes in risks and vulnerabilities over time. Rather than automated analysis, the aim of visual means for identifying and assessing risks is to support disciplined and structured judgmental analysis based upon policymakers' experience and domain intelligence, as well as external risk communication.

Exploring Customer-Oriented Service Offerings in Public Health: Developing Integrated Health Care Services for Rural Areas

Väestön ikääntyminen pakottaa yhteiskunnan ja julkisen terveydenhuollon muutoksiin. Jotta ikääntyvien ihmisten kotona asuminen voidaan mahdollistaa, palvelujärjestelmän pitää mukautua muuttuvaan tilanteeseen. Tämän diplomityön tarkoituksena on tunnistaa asiakaslähtöisiä lähellä asiakasta tarjottavia palvelukokonaisuuksia. Tutkimuksen teoreettinen viitekehys muodostuu asiakasarvon luomisesta ja palvelutarjoamista. Tarkasteluryhmänä on Etelä-Karjalan alueen 60–90-vuotiaat ja käytetty aineisto on kerätty vastaajilta postitse lähetetyllä kyselyllä. Tutkimus on eksploratiivinen ja tulosten tulkinnassa on hyödynnetty määrällisen tutkimuksen ja verkostoanalyysin menetelmiä. Työn keskeisimmät tulokset ovat tunnistetut asiakassegmentit ja heidän tarpeidensa pohjalta muodostetut palvelupaketit. Tulokset indikoivat asiakkaiden tarpeita ja tuloksia on analysoitu myös tuottajan näkökulmasta. Empiiristen tulosten lisäksi teoriaviitekehystä on kehitetty eteenpäin, jotta palvelukeskeiset teoriat voidaan ymmärtää yritysten näkökulman lisäksi asiakkaan näkökulmasta.

The nature of communication structures of university students in an international web-based computer-supported collaborative learning (CSCL) course

Communication, the flow of ideas and information between individuals in a social context, is the heart of educational experience. Constructivism and constructivist theories form the foundation for the collaborative learning processes of creating and sharing meaning in online educational contexts. The Learning and Collaboration in Technology-enhanced Contexts (LeCoTec) course comprised of 66 participants drawn from four European universities (Oulu, Turku, Ghent and Ramon Llull). These participants were split into 15 groups with the express aim of learning about computer-supported collaborative learning (CSCL). The Community of Inquiry model (social, cognitive and teaching presences) provided the content and tools for learning and researching the collaborative interactions in this environment. The sampled comments from the collaborative phase were collected and analyzed at chain-level and group-level, with the aim of identifying the various message types that sustained high learning outcomes. Furthermore, the Social Network Analysis helped to view the density of whole group interactions, as well as the popular and active members within the highly collaborating groups. It was observed that long chains occur in groups having high quality outcomes. These chains were also characterized by Social, Interactivity, Administrative and Content comment-types. In addition, high outcomes were realized from the high interactive cases and high-density groups. In low interactive groups, commenting patterned around the one or two central group members. In conclusion, future online environments should support high-order learning and develop greater metacognition and self-regulation. Moreover, such an environment, with a wide variety of problem solving tools, would enhance interactivity.

Mobile clinics in public health care: Integrated service offerings for rural elderly

This research is an analysis of the value and content of local service offerings that enable longer periods of living at home for elderly people. Mobile health care and new distribution services have provided an interesting solution in this context. The research aim to shed light on the research question, ‘How do we bundle services based on different customer needs?’ A research process consisting of three main phases was applied for this purpose. During this process, elderly customers were segmented, the importance of services was rated and service offerings were defined. Value creation and service offering provides theoretical framework for the research. The target group is South Karelia’s 60 to 90-year old individuals and the data has been acquired via a postal questionnaire. Research has been conducted as exploratory research utilizing the methods of quantitative and social network analysis. The main results of the report are identified customer segments and service packages that fits to the segments’ needs. The results indicate the needs of customers and the results are additionally analysed from the producer’s point of view. In addition to the empirical results, the used theory framework has been developed further in order for the service-related theories to be seen from the customer’s point of view and not just from the producer’s point of view.

Novel technology for preparation of optically active chemicals

Asymmetric synthesis using modified heterogeneous catalysts has gained lots of interest in the production of optically pure chemicals, such as pharmaceuticals, nutraceuticals, fragrances and agrochemicals. Heterogeneous modified catalysts capable of inducing high enantioselectivities are preferred in industrial scale due to their superior separation and handling properties. The topic has been intensively investigated both in industry and academia. The enantioselective hydrogenation of ethyl benzoylformate (EBF) to (R)-ethyl mandelate over (-)-cinchonidine (CD)-modified Pt/Al2O3 catalyst in a laboratory-scale semi-batch reactor was studied as a function of modifier concentration, reaction temperature, stirring rate and catalyst particle size. The main product was always (R)-ethyl mandelate while small amounts of (S)-ethyl mandelate were obtained as by product. The kinetic results showed higher enantioselectivity and lower initial rates approaching asymptotically to a constant value as the amount of modifier was increased. Additionally, catalyst deactivation due to presence of impurities in the feed was prominent in some cases; therefore activated carbon was used as a cleaning agent of the raw material to remove impurities prior to catalyst addition. Detailed characterizations methods (SEM, EDX, TPR, BET, chemisorption, particle size distribution) of the catalysts were carried out. Solvent effects were also studied in the semi-batch reactor. Solvents with dielectric constant (e) between 2 and 25 were applied. The enantiomeric excess (ee) increased with an increase of the dielectric coefficient up to a maximum followed by a nonlinear decrease. A kinetic model was proposed for the enantioselectivity dependence on the dielectric constant based on the Kirkwood treatment. The non-linear dependence of ee on (e) successfully described the variation of ee in different solvents. Systematic kinetic experiments were carried out in the semi-batch reactor. Toluene was used as a solvent. Based on these results, a kinetic model based on the assumption of different number of sites was developed. Density functional theory calculations were applied to study the energetics of the EBF adsorption on pure Pt(1 1 1). The hydrogenation rate constants were determined along with the adsorption parameters by non-linear regression analysis. A comparison between the model and the experimental data revealed a very good correspondence. Transient experiments in a fixed-bed reactor were also carried out in this work. The results demonstrated that continuous enantioselective hydrogenation of EBF in hexane/2-propanol 90/10 (v/v) is possible and that continuous feeding of (-)-cinchonidine is needed to maintain a high steady-state enantioselectivity. The catalyst showed a good stability and high enantioselectivity was achieved in the fixed-bed reactor. Chromatographic separation of (R)- and (S)-ethyl mandelate originating from the continuous reactor was investigated. A commercial column filled with a chiral resin was chosen as a perspective preparative-scale adsorbent. Since the adsorption equilibrium isotherms were linear within the entire investigated range of concentrations, they were determined by pulse experiments for the isomers present in a post-reaction mixture. Breakthrough curves were measured and described successfully by the dispersive plug flow model with a linear driving force approximation. The focus of this research project was the development of a new integrated production concept of optically active chemicals by combining heterogeneous catalysis and chromatographic separation technology. The proposed work is fundamental research in advanced process technology aiming to improve efficiency and enable clean and environmentally benign production of enantiomeric pure chemicals.

DSpace-CRIS tutorial

Presentation at Open Repositories 2014, Helsinki, Finland, June 9-13, 2014

LVDC power distribution system: computational modelling

In the doctoral dissertation, low-voltage direct current (LVDC) distribution system stability, supply security and power quality are evaluated by computational modelling and measurements on an LVDC research platform. Computational models for the LVDC network analysis are developed. Time-domain simulation models are implemented in the time-domain simulation environment PSCAD/EMTDC. The PSCAD/EMTDC models of the LVDC network are applied to the transient behaviour and power quality studies. The LVDC network power loss model is developed in a MATLAB environment and is capable of fast estimation of the network and component power losses. The model integrates analytical equations that describe the power loss mechanism of the network components with power flow calculations. For an LVDC network research platform, a monitoring and control software solution is developed. The solution is used to deliver measurement data for verification of the developed models and analysis of the modelling results. In the work, the power loss mechanism of the LVDC network components and its main dependencies are described. Energy loss distribution of the LVDC network components is presented. Power quality measurements and current spectra are provided and harmonic pollution on the DC network is analysed. The transient behaviour of the network is verified through time-domain simulations. DC capacitor guidelines for an LVDC power distribution network are introduced. The power loss analysis results show that one of the main optimisation targets for an LVDC power distribution network should be reduction of the no-load losses and efficiency improvement of converters at partial loads. Low-frequency spectra of the network voltages and currents are shown, and harmonic propagation is analysed. Power quality in the LVDC network point of common coupling (PCC) is discussed. Power quality standard requirements are shown to be met by the LVDC network. The network behaviour during transients is analysed by time-domain simulations. The network is shown to be transient stable during large-scale disturbances. Measurement results on the LVDC research platform proving this are presented in the work.

Container logistic innovations in forest-energy sector: Markets, future service concepts and technical improvements

The report presents the results of the commercialization project called the Container logistic services for forest bioenergy. The project promotes new business that is emerging around overall container logistic services in the bioenergy sector. The results assess the European markets of the container logistics for biomass, enablers for new business creation and required service bundles for the concept. We also demonstrate the customer value of the container logistic services for different market segments. The concept analysis is based on concept mapping, quality function deployment process (QFD) and business network analysis. The business network analysis assesses key shareholders and their mutual connections. The performance of the roadside chipping chain is analysed by the logistic cost simulation, RFID system demonstration and freezing tests. The EU has set the renewable energy target to 20 % in 2020 of which Biomass could account for two-thirds. In the Europe, the production of wood fuels was 132.9 million solid-m3 in 2012 and production of wood chips and particles was 69.0 million solidm3. The wood-based chips and particle flows are suitable for container transportation providing market of 180.6 million loose- m3 which mean 4.5 million container loads per year. The intermodal logistics of trucks and trains are promising for the composite containers because the biomass does not freeze onto the inner surfaces in the unloading situations. The overall service concept includes several packages: container rental, container maintenance, terminal services, RFID-tracking service, and simulation and ERP-integration service. The container rental and maintenance would provide transportation entrepreneurs a way to increase the capacity without high investment costs. The RFID-concept would lead to better work planning improving profitability throughout the logistic chain and simulation supports fuel supply optimization.

Lean Six Sigma in a Manufacturing Lead Time Improvement Project

The objective of this research is to demonstrate the use of Lean Six Sigma methodology in a manufacturing lead time improvement project. Moreover, the goal is to develop working solutions for the target company to improve its manufacturing lead time. The theoretical background is achieved through exploring the literature of Six Sigma, Lean and Lean Six Sigma. The development will be done in collaboration with the related stakeholders, by following the Lean Six Sigma improvement process DMAIC and by analyzing the process data from the target company. The focus of this research is in demonstrating how to use Lean Six Sigma improvement process DMAIC in practice, rather than in comparing Lean Six Sigma to other improvement methodologies. In order to validate the manufacturing system’s current state, improvement potential and solutions, statistical tools such as linear regression analysis were used. This ensured that all the decisions were as heavily based on actual data as possible. As a result of this research, a set of solutions were developed and implemented in the target company. These solutions included batch size reduction, bottleneck shift, first-in first-out queuing and shifting a data entry task from production planners to line workers. With the use of these solutions, the target company was able to reduce its manufacturing lead time by over one third.

Verkostoroolit organisaation sisäisissä tietämysverkostoissa

Tämän tutkimuksen tarkoituksena oli tunnistaa organisaation sisäisiin tietäysverkostoihin ja työntekijöiden verkostorooleihin vaikuttavia tekijöitä. Tutkimusongelmaa tarkasteltiin tietojohtamisen tietoperustaisen näkemyksen, sosiaalisen pääoman ja verkostotutkimuksen teoreettisesta viitekehyksestä. Tutkimus toteutettiin tapaustutkimuksena suomalaisessa teollisuusorganisaatiossa. Tutkimuksen empiirisessä osassa käytettiin sekä kvantitatiivista että kvalitatiivista tutkimusmenetelmää. Kvantitatiivinen tutkimusaineisto kerättiin strukturoidulla kyselylomakkeella ja analysoitiin sosiaalisella verkostoanalyysillä. Kvalitatiivinen tutkimusaineisto kerättiin haastatteluilla ja analysoitiin abduktiivisesti sisällönanalyysimenetelmällä. Tutkimuksen tulosten mukaan tietämysverkostoihin ja verkostorooleihin vaikuttavat sekä ulkoiset että sisäiset tekijät. Ulkoisia tekijöitä ovat ympäristöön ja olosuhteisiin vaikuttavat tekijät. Sisäisiä tekijöitä ovat puolestaan henkilön luonteenpiirteet, osaaminen, motivaatio sekä tietämys. Tämän tutkimuksen tulosten mukaan sisäiset tekijät selittävät työntekijöiden välisiä eroja. Työntekijöiden käyttäytymiseen, motivaatioon, asenteisiin ja osaamiseen voidaan vaikuttaa henkilöstöjohtamisen menetelmillä. Ihmisen persoonallisuus sen sijaan pysyy suhteellisen muuttumattomana. Tietojohtamisen, tietämysverkostojen ja verkostoroolien aikaisemmissa tutkimuksissa ei ole kuitenkaan tarkasteltu persoonallisuuden piirteiden vaikutusta tietämyksen siirtämiseen.

Tietojohtamista tukevan toiminnanohjausjärjestelmän vaatimuksia erityistoimialalla: tapaustutkimus eläinterveydenhuollon toimialalla

Veterinary Health Services are following in many areas the practices and medical direction of human medicine and health services. They are reaching for improved efficiency, quality and precision. Competitive position may be improved and productivity increased by specializing and focusing efforts at the practice. This thesis focuses in small animal practices and their needs for ERP (Enterprise Resource Planning) systems in Germany. As a result requirements for ERP solution supporting knowledge management in the small animal practice is presented. Veterinary Health Services is knowledge-intensive business, where written information and tacit knowledge is increasingly bound together with deepening expertise and specialization. Veterinarian is even legally obliged to develop and maintain her professional skills. The current ERP solutions concentrate in the treatment process of veterinary practice. Customer relationship management is left aside. As the competitive situation is getting tighter in veterinary services also the customer relationship management needs to get into the focus and interest to the wider network support in knowledge sharing should take steps forward. Taking into account the requirement of continuous development of professional skills ERP system at the veterinary practice should also be seen as knowledge management tool. It should provide the possibility to create, store, share and use knowledge. The study is conducted first by studying the AS-IS situation of ERP use and market in veterinary health services and then drawing the requirements of TO-BE situation by studying literature and the results of semi qualitative study conducted for German veterinary practices. A group of veterinarians were interviewed, market and network analysis was done and the understanding of market was deepened in two veterinary conferences in Germany. This theses work is requested by Finnish software company Finnish Net Solutions, which is the leading supplier of Veterinary Practice Management software in Finland. The company plans to expand to European market with Cloud based service. Target of the theses is to create understanding of the requirements of German veterinary market to develop ERP solution supporting Knowledge Management in Veterinary Practice.

Studies of rotor dynamics using a multibody simulation approach

The non-idealities in a rotor-bearing system may cause undesirable subcritical superharmonic resonances that occur when the rotating speed of the rotor is a fraction of the natural frequency of the system. These resonances arise partly from the non-idealities of the bearings. This study introduces a novel simulation approach that can be used to study the superharmonic vibrations of rotor-bearing systems. The superharmonic vibrations of complex rotor-bearing systems can be studied in an accurate manner by combining a detailed rotor and bearing model in a multibody simulation approach. The research looks at the theoretical background of multibody formulations that can be used in the dynamic analysis of flexible rotors. The multibody formulations currently in use are suitable for linear deformation analysis only. However, nonlinear formulation may arise in high-speed rotor dynamics applications due to the cenrrifugal stiffening effect. For this reason, finite element formulations that can describe nonlinear deformation are also introduced in this work. The description of the elastic forces in the absolute nodal coordinate formulation is studied and improved. A ball bearing model that includes localized and distributed defects is developed in this study. This bearing model could be used in rotor dynamics or multibody code as an interface elements between the rotor and the supporting structure. The model includes descriptions of the nonlinear Hertzian contact deformation and the elastohydrodynamic fluid film. The simulation approaches and models developed here are applied in the analysis of two example rotor-bearing systems. The first example is an electric motor supported by two ball bearings and the second is a roller test rig that consists of the tube roll of a paper machine supported by a hard-bearing-type balanceing machine. The simulation results are compared to the results available in literature as well as to those obtained by measuring the existing structure. In both practical examples, the comparison shows that the simulation model is capable of predicting the realistic responses of a rotor system. The simulation approaches developed in this work can be used in the analysis of the superharmonic vibrations of general rotor-bearing systems.