Kustannuslaskentamalli EDI-yhteyksien vaihtoehtoisten toteutustapojen arviointiin

Työn tutkimusongelmana oli selvittää EDI-yhteyksien vaihtoehtoiset toteutustavat kustannuksineen. EDI-palveluiden käytöstä aiheutuvien kustannusten arviointia varten muodostettiin MS Office Excel -laskentamalli, jonka avulla voidaan arvioida perushankinnasta ja käytöstä aiheutuvia kustannuksia sekä EDI-projektin kannattavuutta. Tilaustenkäsittelyn yhteydessä syntyviä vuotuisia kustannuksia sekä kustannussäätöjä arvioitiin aikaperusteisen toimintolaskennan avulla.   Sovellettava teoria rajattiin toiminto- ja investointilaskennan alueelle. EDI-palveluita tarjoavilta operaattoreilta selvitettiin hinta, palveluiden laatu ja muut lisäarvopalvelut. Kustannustarkastelu rajattiin perushankintakustannusten ja käytönaikaisten kustannusten selvittämiseen. Työn tutkimusote on luonteeltaan konstruktiivinen, sillä tavoitteena oli luoda johdon päätöksentekoa tukeva laskentamalli.   Kartoituksen perusteella EDI:n käyttökustannuksiin vaikuttavat tekijät muodostuvat kolmesta ryhmästä, joita ovat sähköisten tilaussanomien piirissä olevien asiakkaiden ja toimittajien lukumäärä, verkkolaskut sekä EDI-sanomat. EDI-sanomien osalta vaikuttavana tekijänä on lähettävän sanoman muoto ja veloitusperuste.

Modeling study of limestone reactions in fluidized bed conditions

Traditionally limestone has been used for the flue gas desulfurization in fluidized bed combustion. Recently, several studies have been carried out to examine the use of limestone in applications which enable the removal of carbon dioxide from the combustion gases, such as calcium looping technology and oxy-fuel combustion. In these processes interlinked limestone reactions occur but the reaction mechanisms and kinetics are not yet fully understood. To examine these phenomena, analytical and numerical models have been created. In this work, the limestone reactions were studied with aid of one-dimensional numerical particle model. The model describes a single limestone particle in the process as a function of time, the progress of the reactions and the mass and energy transfer in the particle. The model-based results were compared with experimental laboratory scale BFB results. It was observed that by increasing the temperature from 850 °C to 950 °C the calcination was enhanced but the sulfate conversion was no more improved. A higher sulfur dioxide concentration accelerated the sulfation reaction and based on the modeling, the sulfation is first order with respect to SO2. The reaction order of O2 seems to become zero at high oxygen concentrations.

Effectiveness of Pilotage

The objective of the pilotage effectiveness study was to come up with a process descrip-tion of the pilotage procedure, to design performance indicators based on this process description, to be used by Finnpilot, and to work out a preliminary plan for the imple-mentation of the indicators within the Finnpilot organisation. The theoretical aspects of pilotage as well as the guidelines and standards used were determined through a literature review. Based on the literature review, a process flow model with the following phases was created: the planning of pilotage, the start of pilo-tage, the act of pilotage, the end of pilotage and the closing of pilotage. The model based on the literature review was tested through interviews and observation of pilotage. At the same time an e-mail survey directed at foreign pilotage organisations, which included a questionnaire concerning their standards and management systems, operations procedures, measurement tools and their attitude to the passage planning, was conducted. The main issues in the observations and interviews were the passage plan and the bridge team co-operation. The phases of the pilotage process model emerged in both the pilotage activities and the interviews whereas bridge team co-operation was relatively marginal. Most of the pilotage organisations, who responded to the query, also use some standard-based management system. All organisations who answered the survey use some sort of a pilotage process model. According to the query, the main measuring tools for pilotage are statistical information concerning pilotage and the organisations, the customer feedback surveys, and financial results. Attitudes to-wards passage planning were mostly positive among the organisations. A workshop with pilotage experts was arranged where the process model constructed on the basis of the literature review was tuned to match practical pilotage. In the workshop it was determined that certain phases and the corresponding tasks, through which pilo-tage can be described as a process, were identifiable in all pilotage. The result of the workshop was a complemented process model, which separates incoming and outgoing traffic, as well as the fairway pilotage and harbour pilotage from each other. Addition-ally indicators divided according to the data gathering method were defined. Data con-cerning safety and traffic flow is gathered in the form of customer feedback. The pilot's own perceptions of the pilotage process are gathered through self-assessment. The measurement data which is connected to the phases of the pilotage process is generated e.g. by gathering statistics of the success of the pilot dispatches, the accuracy of the pi-lotage and the incidents that occurred during the pilotage, near misses, deviations and accidents. The measurement data is collected via the PilotWeb at the closing of the pilo-tage. A separate project and a project group with pilots also participating will be established for the deployment of the performance indicators. The phases of the project are: the definition phase, the implementation phase and the deployment phase. The purpose of the definition phase is to prepare questions for ship commanders concerning the cus-tomer feedback questionnaire and also to work out the self-assessment queries and the queries concerning the process indicators.

Modelling head loss along emitting pipes using dimensional analysis

Local head losses must be considered in estimating properly the maximum length of drip irrigation laterals. The aim of this work was to develop a model based on dimensional analysis for calculating head loss along laterals accounting for in-line drippers. Several measurements were performed with 12 models of emitters to obtain the experimental data required for developing and assessing the model. Based on the Camargo & Sentelhas coefficient, the model presented an excellent result in terms of precision and accuracy on estimating head loss. The deviation between estimated and observed values of head loss increased according to the head loss and the maximum deviation reached 0.17 m. The maximum relative error was 33.75% and only 15% of the data set presented relative errors higher than 20%. Neglecting local head losses incurred a higher than estimated maximum lateral length of 19.48% for pressure-compensating drippers and 16.48% for non pressure-compensating drippers.

Palveluliiketoimintamallin kehittäminen teolliselle laitetoimittajalle

Tässä tutkimuksessa käsitellään teollisuuden palveluliiketoimintaa. Yritykset ovat perinteisesti saavuttaneet kilpailuetua markkinoilla tuottamalla teknisesti innovatiivisia koneita ja laitteita, mutta viime vuosien aikana yritykset ovat havainneet tarpeen myös palveluliiketoiminnan kehitykselle. Kohdeyrityksenä on teollisuudelle korkealuokkaisia mittalaitteita kehittävä ja valmistava yritys. Tutkimuksen tarkoituksena oli kehittää uusi innovatiivinen vuokraukseen perustuva palveluliiketoimintamalli perinteisen hankinnan sijaan. Olennaisena osana uuteen palveluliiketoimintamalliin liittyi myös tuotteen elinkaarikustannusten selvittäminen ja laskeminen. Toisena tutkimuksen kohteena oli selvittää semi-kvalitatiivisen kyselytutkimuksen avulla, miten yrityksen asiakkaat ja henkilökunta näkevät palveluiden tuottamisen nykytilan ja mitä haasteita palveluliiketoimintaan siirtyminen aiheuttaa organisaatiolle. Työn teoriaosuudessa käsiteltiin palveluliiketoimintaa eri näkökulmista, palvelun laadun muodostumista sekä uuden liiketoimintamallin kehittämistä Osterwalderin Canvas mallin avulla. Lisäksi käsiteltiin elin-kaarilaskennan soveltamista palveluliiketoiminnassa sekä eri investointimalleja teollisiin palveluihin. Kyselytutkimuksen tulosten perusteella asiakkaiden ja yrityksen henkilökunnan näkemykset erosivat palvelun laadun ja prosessien nykytilasta. Asiakkaat arvostivat palvelut paremmalle tasolle kuin henkilökunta. Tulosten perusteella yrityksen olisi kohdennettava resursseja sisäisten prosessien parantamiseen ja kehitettävä organisaatiota enemmän palveluorientoituneeksi. Tuotteen elinkaarikustannukset onnistuttiin selvittämään hyvin ja niiden avulla pystyttiin luomaan sekä yritykselle kannattava että asiakkaille houkutteleva palveluliiketoimintamalli, jonka avulla yrityksen on mahdollista palvella asiakkaitaan entistä paremmin.

Teollisten palveluiden kehittäminen asiakaslähtöisesti

Teollisuuden palvelut tuottavat tulevaisuudessa yhä suuremman osan yritysten liikevaihdosta ja tämän vuoksi niiden systemaattinen kehittäminen yrityksessä on erityisen tärkeää. Tutkimuksen tavoitteena on luoda teorian pohjalta malli, jonka avulla mekatroniikkaklusterin yritykset voivat analysoida tarjottavia palveluitaan asiakkaan näkökulmasta. Tutkimuksessa pyritään myös selvittämään empiirisesti mallin soveltuvuus palvelutarjonnan kehittämiseen tutkimuksessa mukana oleville erikokoisille yrityksille. Tutkimuksen teoreettisessa osassa luodaan katsaus yrityksen kasvustrategioihin. Palveluiden innovaatio- sekä kehitysprosessit käydään lyhyesti läpi, sekä esitetään lähtökohtia, miten yritykset voivat siirtyä tuotetarjoajasta palveluntarjoajaksi. Teoriaosassa käydään läpi QFD -malli, jota voidaan käyttää hyödyksi kun analysoidaan asiakkaan palvelutarpeita ja priorisoidaan yrityksen resursseja. QFD -mallin lisäksi esitellään myös muita laatutyökaluja sekä asiakkaan tarpeiden selvitysmenetelmiä, joita yritys voi käyttää hyödykseen QFD -mallin kanssa. Synteesiosassa esitellään ensin MS Excel -pohjainen QFD -malli. Mallin käyttö-kokeilu toteutetaan työpaja tyylisessä kokouksessa, ja tutkimustulokset kerätään havainnoimalla, teemahaastattelulla sekä kyselyn avulla.

Simulation methods in the modelling of bioaffinity assays

Computational model-based simulation methods were developed for the modelling of bioaffinity assays. Bioaffinity-based methods are widely used to quantify a biological substance in biological research, development and in routine clinical in vitro diagnostics. Bioaffinity assays are based on the high affinity and structural specificity between the binding biomolecules. The simulation methods developed are based on the mechanistic assay model, which relies on the chemical reaction kinetics and describes the forming of a bound component as a function of time from the initial binding interaction. The simulation methods were focused on studying the behaviour and the reliability of bioaffinity assay and the possibilities the modelling methods of binding reaction kinetics provide, such as predicting assay results even before the binding reaction has reached equilibrium. For example, a rapid quantitative result from a clinical bioaffinity assay sample can be very significant, e.g. even the smallest elevation of a heart muscle marker reveals a cardiac injury. The simulation methods were used to identify critical error factors in rapid bioaffinity assays. A new kinetic calibration method was developed to calibrate a measurement system by kinetic measurement data utilizing only one standard concentration. A nodebased method was developed to model multi-component binding reactions, which have been a challenge to traditional numerical methods. The node-method was also used to model protein adsorption as an example of nonspecific binding of biomolecules. These methods have been compared with the experimental data from practice and can be utilized in in vitro diagnostics, drug discovery and in medical imaging.

Mallipohjainen suunnittelu osana aurinkosähkövaihtosuuntaajan tuotekehitystä

Työssä selvitetään mallipohjaisen suunnittelun ja simulointimallista tuotetun ohjelmakoodin kelpoisuutta tuotekehityskäytössä. Työtapoja tutkitaan, koska halutaan selvittää parantavatko esitetyt toimintatavat aurinkosähkövaihtosuuntaajien ohjelmistokehitystä. Työssä käydään läpi mallipohjaisen suunnittelun työvaiheet, niiden sisältö ja tarkoitus. Aurinkosähköjärjestelmästä muodostetaan simulointimalli, josta tuotetaan maksimitehopisteseuraajan ohjelmakoodi, jonka toiminta testataan aurinkosähkövaihtosuuntaajan ohjausalustan simulaattorissa. Mallipohjainen suunnittelu mahdollistaa ohjelmistotuotekehityksen nopeuttamisen käyttämällä samaa järjestelmää useassa työvaiheessa. Ohjelmakoodin tuottaminen simulointimallista on mahdollista ja hyödyllistä, jos yrityksessä käytetään simulointitestausta säätö- ja ohjausjärjestelmän toiminnan suunnitteluun ja varmentamiseen.

Applications of Industrial Statistics

This dissertation examines knowledge and industrial knowledge creation processes. It looks at the way knowledge is created in industrial processes based on data, which is transformed into information and finally into knowledge. In the context of this dissertation the main tool for industrial knowledge creation are different statistical methods. This dissertation strives to define industrial statistics. This is done using an expert opinion survey, which was sent to a number of industrial statisticians. The survey was conducted to create a definition for this field of applied statistics and to demonstrate the wide applicability of statistical methods to industrial problems. In this part of the dissertation, traditional methods of industrial statistics are introduced. As industrial statistics are the main tool for knowledge creation, the basics of statistical decision making and statistical modeling are also included. The widely known Data Information Knowledge Wisdom (DIKW) hierarchy serves as a theoretical background for this dissertation. The way that data is transformed into information, information into knowledge and knowledge finally into wisdom is used as a theoretical frame of reference. Some scholars have, however, criticized the DIKW model. Based on these different perceptions of the knowledge creation process, a new knowledge creation process, based on statistical methods is proposed. In the context of this dissertation, the data is a source of knowledge in industrial processes. Because of this, the mathematical categorization of data into continuous and discrete types is explained. Different methods for gathering data from processes are clarified as well. There are two methods for data gathering in this dissertation: survey methods and measurements. The enclosed publications provide an example of the wide applicability of statistical methods in industry. In these publications data is gathered using surveys and measurements. Enclosed publications have been chosen so that in each publication, different statistical methods are employed in analyzing of data. There are some similarities between the analysis methods used in the publications, but mainly different methods are used. Based on this dissertation the use of statistical methods for industrial knowledge creation is strongly recommended. With statistical methods it is possible to handle large datasets and different types of statistical analysis results can easily be transformed into knowledge.

AMB system for high-speed motors using automatic commissioning

The general trend towards increasing e ciency and energy density drives the industry to high-speed technologies. Active Magnetic Bearings (AMBs) are one of the technologies that allow contactless support of a rotating body. Theoretically, there are no limitations on the rotational speed. The absence of friction, low maintenance cost, micrometer precision, and programmable sti ness have made AMBs a viable choice for highdemanding applications. Along with the advances in power electronics, such as signi cantly improved reliability and cost, AMB systems have gained a wide adoption in the industry. The AMB system is a complex, open-loop unstable system with multiple inputs and outputs. For normal operation, such a system requires a feedback control. To meet the high demands for performance and robustness, model-based control techniques should be applied. These techniques require an accurate plant model description and uncertainty estimations. The advanced control methods require more e ort at the commissioning stage. In this work, a methodology is developed for an automatic commissioning of a subcritical, rigid gas blower machine. The commissioning process includes open-loop tuning of separate parts such as sensors and actuators. The next step is to apply a system identi cation procedure to obtain a model for the controller synthesis. Finally, a robust model-based controller is synthesized and experimentally evaluated in the full operating range of the system. The commissioning procedure is developed by applying only the system components available and a priori knowledge without any additional hardware. Thus, the work provides an intelligent system with a self-diagnostics feature and an automatic commissioning.

Oxidation rates of carbon and nitrogen in char residues from solid fuels

Computational fluid dynamics (CFD) modeling is an important tool in designing new combustion systems. By using CFD modeling, entire combustion systems can be modeled and the emissions and the performance can be predicted. CFD modeling can also be used to develop new and better combustion systems from an economical and environmental point of view. In CFD modeling of solid fuel combustion, the combustible fuel is generally treated as single fuel particles. One of the limitations with the CFD modeling concerns the sub-models describing the combustion of single fuel particles. Available models in the scientific literature are in many cases not suitable as submodels for CFD modeling since they depend on a large number of input parameters and are computationally heavy. In this thesis CFD-applicable models are developed for the combustion of single fuel particles. The single particle models can be used to improve the combustion performance in various combustion devices or develop completely new technologies. The investigated fields are oxidation of carbon (C) and nitrogen (N) in char residues from solid fuels. Modeled char-C oxidation rates are compared to experimental oxidation rates for a large number of pulverized solid fuel chars under relevant combustion conditions. The experiments have been performed in an isothermal plug flow reactor operating at 1123-1673 K and 3-15 vol.% O2. In the single particle model, the char oxidation is based on apparent kinetics and depends on three fuel specific parameters: apparent pre-exponential factor, apparent activation energy, and apparent reaction order. The single particle model can be incorporated as a sub-model into a CFD code. The results show that the modeled char oxidation rates are in good agreement with experimental char oxidation rates up to around 70% of burnout. Moreover, the results show that the activation energy and the reaction order can be assumed to be constant for a large number of bituminous coal chars under conditions limited by the combined effects of chemical kinetics and pore diffusion. Based on this, a new model based on only one fuel specific parameter is developed (Paper III). The results also show that reaction orders of bituminous coal chars and anthracite chars differ under similar conditions (Paper I and Paper II); reaction orders of bituminous coal chars were found to be one, while reaction orders of anthracite chars were determined to be zero. This difference in reaction orders has not previously been observed in the literature and should be considered in future char oxidation models. One of the most frequently used comprehensive char oxidation models could not explain the difference in the reaction orders. In the thesis (Paper II), a modification to the model is suggested in order to explain the difference in reaction orders between anthracite chars and bituminous coal chars. Two single particle models are also developed for the NO formation and reduction during the oxidation of single biomass char particles. In the models the char-N is assumed to be oxidized to NO and the NO is partly reduced inside the particle. The first model (Paper IV) is based on the concentration gradients of NO inside and outside the particle and the second model is simplified to such an extent that it is based on apparent kinetics and can be incorporated as a sub-model into a CFD code (Paper V). Modeled NO release rates from both models were in good agreement with experimental measurements from a single particle reactor of quartz glass operating at 1173-1323 K and 3-19 vol.% O2. In the future, the models can be used to reduce NO emissions in new combustion systems.

On Energy Efficient Computing Platforms

In accordance with the Moore's law, the increasing number of on-chip integrated transistors has enabled modern computing platforms with not only higher processing power but also more affordable prices. As a result, these platforms, including portable devices, work stations and data centres, are becoming an inevitable part of the human society. However, with the demand for portability and raising cost of power, energy efficiency has emerged to be a major concern for modern computing platforms. As the complexity of on-chip systems increases, Network-on-Chip (NoC) has been proved as an efficient communication architecture which can further improve system performances and scalability while reducing the design cost. Therefore, in this thesis, we study and propose energy optimization approaches based on NoC architecture, with special focuses on the following aspects. As the architectural trend of future computing platforms, 3D systems have many bene ts including higher integration density, smaller footprint, heterogeneous integration, etc. Moreover, 3D technology can signi cantly improve the network communication and effectively avoid long wirings, and therefore, provide higher system performance and energy efficiency. With the dynamic nature of on-chip communication in large scale NoC based systems, run-time system optimization is of crucial importance in order to achieve higher system reliability and essentially energy efficiency. In this thesis, we propose an agent based system design approach where agents are on-chip components which monitor and control system parameters such as supply voltage, operating frequency, etc. With this approach, we have analysed the implementation alternatives for dynamic voltage and frequency scaling and power gating techniques at different granularity, which reduce both dynamic and leakage energy consumption. Topologies, being one of the key factors for NoCs, are also explored for energy saving purpose. A Honeycomb NoC architecture is proposed in this thesis with turn-model based deadlock-free routing algorithms. Our analysis and simulation based evaluation show that Honeycomb NoCs outperform their Mesh based counterparts in terms of network cost, system performance as well as energy efficiency.

Kunnossapito-ohjelman rakentaminen RCM - menetelmän avulla

Työn tarkoituksena oli luoda UPM Kaukaan sellutehtaan kaustisointi- ja meesauunialueelle kunnossapito-ohjelma, RCM eli luotettavuuskeskeinen kunnossapitomenetelmää käyttäen. Tavoitteena oli luoda ennakkohuolto-ohjelma, joka pohjautuu laitekriittisyyksiin sekä optimoida kohdealueen laitteiden varaosien varastointia. Perustaksi työlle luotiin uusi kriittisyysluokittelumalli, joka perustuu PSK 6800 standardiin. Tarvittavien ennakkohuoltotoimenpiteiden määrittämisen apuna käytettiin toimenpiteiden määritysmatriisia. Varaosavaraston optimointia varten luotiin varaosien varastointitarpeen määritysmatriisi. Prosessin suorittamisessa korostui laaja ja osaava projektiryhmä, jonka avulla asioiden läpikäynnissä oli tarvittavat tiedot saatavilla. Projektiryhmässä oli mukana sekä kunnossapidon että käytön henkilöitä. Kunnossapito-ohjelmasta muodostui erittäin kattava. Seisokkia vaativat toimenpiteet ovat aikataulutettu siten, että niitä suoritetaan tasaisesti vuoden aikana. Uusien huoltorivien ansiosta alueen kunnossapito selkeytyy paljon.

Effect of wave frequency on the nonlinear interaction between Görtler vortices and three-dimensional Tollmien-Schlichting waves

The nonlinear interaction between Görtler vortices (GV) and three-dimensional Tollmien-Schlichting (TS) waves nonlinear interaction is studied with a spatial, nonparallel model based on the Parabolized Stability Equations (PSE). In this investigation the effect of TS wave frequency on the nonlinear interaction is studied. As verified in previous investigations using the same numerical model, the relative amplitudes and growth rates are the dominant parameters in GV/TS wave interaction. In this sense, the wave frequency influence is important in defining the streamwise distance traveled by the disturbances in the unstable region of the stability diagram and in defining the amplification rates that they go through.

Modelling of mechanical properties of CRFC composites under flexure loading

Carbon Fibre Reinforced Carbon (CFRC) Composites are increasing their applications due to their high strength and Young’s Modulus at high temperatures in inert atmosphere. Although much work has been done on processing and structure and properties relationship, few studies have addressed the modelling of mechanical properties. This work is divided in two parts. In the first part, a modelling of mechanical properties was carried out for two bi-directional composites using a model based on the Bernoulli-Euler theory for symmetric laminated beams. In the second part, acoustic emission (AE) was used as an auxiliary technique for monitoring the failure process of the composites. Differences in fracture behaviour are reflected in patterns of AE.