Analysis of patterns in mining time series using Qlucore

Raw measurement data does not always immediately convey useful information, but applying mathematical statistical analysis tools into measurement data can improve the situation. Data analysis can offer benefits like acquiring meaningful insight from the dataset, basing critical decisions on the findings, and ruling out human bias through proper statistical treatment. In this thesis we analyze data from an industrial mineral processing plant with the aim of studying the possibility of forecasting the quality of the final product, given by one variable, with a model based on the other variables. For the study mathematical tools like Qlucore Omics Explorer (QOE) and Sparse Bayesian regression (SB) are used. Later on, linear regression is used to build a model based on a subset of variables that seem to have most significant weights in the SB model. The results obtained from QOE show that the variable representing the desired final product does not correlate with other variables. For SB and linear regression, the results show that both SB and linear regression models built on 1-day averaged data seriously underestimate the variance of true data, whereas the two models built on 1-month averaged data are reliable and able to explain a larger proportion of variability in the available data, making them suitable for prediction purposes. However, it is concluded that no single model can fit well the whole available dataset and therefore, it is proposed for future work to make piecewise non linear regression models if the same available dataset is used, or the plant to provide another dataset that should be collected in a more systematic fashion than the present data for further analysis.

Osingonjakopolitiikan määräytyminen ja sen osakekurssivaikutukset Helsingin pörssissä

Tämän työn tarkoituksena oli tutkia lineaarisen regressioanalyysin avulla sekä osingonjakopolitiikan määräytymiseen vaikuttavia tekijöitä että osinkojen osakekurssivaikutusta Helsingin pörssissä. Osinkopolitiikan määräytymistä tutkittiin yhtiön koon, kannattavuuden, velkaisuuden, investointi- ja kasvumahdollisuuksien sekä sisäpiirin omistuksen avulla. Käytetty aineisto koostuu Helsingin pörssissä noteerattujen yhtiöiden tilinpäätösluvuista ja osakekurssitiedoista vuosina 2000-2010. Empiiriset tutkimukset osoittivat, että osinkotuottoon vaikuttavia tekijöitä Helsingin pörssissä ovat yhtiön kannattavuus, velkaisuus, investointi- ja kasvumahdollisuudet sekä sisäpiirin omistus. Saadut tulokset ovat samansuuntaisia aikaisempien tutkimusten kanssa. Toinen merkittävä löydös on, että osingoilla todettiin olevan positiivinen yhteys osakekurssimuutoksiin Helsingin pörssissä. Osinkojen ja osakekurssin välinen yhteys tukee signalointiteoriaa.

Asuntosijoittaminen: demografisten ja taloudellisten muuttujien vaikutus asuntojen hinta- ja vuokrakehitykseen Suomessa

Tutkielman tavoitteena on tehdä katsaus asuntosijoittamiseen sekä löytää asuntosijoittajalle tärkeää tietoa asuntojen hinta- ja vuokrakehitykseen vaikuttavista alueellisista tekijöistä. Asuntojen hintoihin vaikuttavia tekijöitä tutkitaan sekä kasvukaupungeissa että rakennemuutosalueilla. Asuntojen vuokrakehitykseen vaikuttavia selittäviä tekijöitä tutkitaan koko Suomen, pääkaupunkiseudun ja muun Suomen alueilla. Tutkimus toteutetaan käyttäen lineaarista regressioanalyysiä ja käytettävä aineisto koostuu muuttujien aikasarjoista vuosilta 1988–2010 sekä 1996–2009. Saatujen tulosten perusteella nettokansantulolla ja asuntokunnan käytet-tävissä olevalla rahatulolla on selkeä vaikutus asuntojen hintakehitykseen kasvukeskuksissa. Rakennemuutosalueilla työllisyyden ja teollisuuden vaikutukset ovat vahvoja. Asuntojen vuokriin vaikuttavista tekijöistä mm. asuinkerrostalokannalla, aloittaneiden yritysten määrällä ja asuntokunnan käytettävissä olevalla rahatulolla voidaan nähdä olevan selkeä vaikutus neliövuokran kehitykseen.

Software for design of experiments and response modelling of cake ltration applications

Filtration is a widely used unit operation in chemical engineering. The huge variation in the properties of materials to be ltered makes the study of ltration a challenging task. One of the objectives of this thesis was to show that conventional ltration theories are di cult to use when the system to be modelled contains all of the stages and features that are present in a complete solid/liquid separation process. Furthermore, most of the ltration theories require experimental work to be performed in order to obtain critical parameters required by the theoretical models. Creating a good overall understanding of how the variables a ect the nal product in ltration is somewhat impossible on a purely theoretical basis. The complexity of solid/liquid separation processes require experimental work and when tests are needed, it is advisable to use experimental design techniques so that the goals can be achieved. The statistical design of experiments provides the necessary tools for recognising the e ects of variables. It also helps to perform experimental work more economically. Design of experiments is a prerequisite for creating empirical models that can describe how the measured response is related to the changes in the values of the variable. A software package was developed that provides a ltration practitioner with experimental designs and calculates the parameters for linear regression models, along with the graphical representation of the responses. The developed software consists of two software modules. These modules are LTDoE and LTRead. The LTDoE module is used to create experimental designs for di erent lter types. The lter types considered in the software are automatic vertical pressure lter, double-sided vertical pressure lter, horizontal membrane lter press, vacuum belt lter and ceramic capillary action disc lter. It is also possible to create experimental designs for those cases where the variables are totally user de ned, say for a customized ltration cycle or di erent piece of equipment. The LTRead-module is used to read the experimental data gathered from the experiments, to analyse the data and to create models for each of the measured responses. Introducing the structure of the software more in detail and showing some of the practical applications is the main part of this thesis. This approach to the study of cake ltration processes, as presented in this thesis, has been shown to have good practical value when making ltration tests.

The effect of dynamic capabilities on operational-level innovation – Empirical study in magazine publishing industry

This master’s thesis aims to examine the relationship between dynamic capabilities and operational-level innovations. In addition, measures for the concept of dynamic capabilities are developed. The study was executed in the magazine publishing industry which is considered favourable for examining dynamic capabilities, since the sector is characterized by rapid change. As a basis for the study and the measure development, a literary review was conducted. Data for the empirical section was gathered by a survey targeted to chief-editors of Finnish consumer magazines. The relationship between dynamic capabilities and innovation was examined by multiple linear regression. The results indicate that dynamic capabilities have effect on the emergence of radical innovations. Environmental dynamism’s effect on radical innovations was not detected. Also, dynamic capabilities’ effect on innovation was not greater in turbulent operating environment.

IFRS 2 Osakeperusteiset maksut – ylimmän johdon osakeperusteisen palkitsemisjärjestelmien käyttöä selittävät tekijät

Työn tarkoituksena on selvittää, mitkä tekijät vaikuttavat IFRS 2 - standardin mukaisen osakeperusteisen palkitsemisen käyttöön ja sen yleisyyteen sekä mitkä tekijät selittävät IFRS 2 -standardin mukaisen osakeperusteisen palkitsemisen osuutta koko henkilöstökuluista tutkimuksessa esiintyvissä OMX-Nordic pörssin listatuissa Suomen ja Ruotsin large cap - yrityksissä. Työn empiirinen tutkimus toteutetaan laadullisella tutkimuksella, jossa lisäksi käytetään hyväksi regressioanalyysin tuloksia vahvistamaan tutkimuksessa muodostettuja ennakko-oletuksia. Tutkimuksesta kävi ilmi, että IFRS 2 -standardin mukaisen osakeperusteisen palkitsemisen käyttöä selittävät toimitusjohtajan ikä, yrityksen koko sekä yrityksen tutkimus- ja kehitystoiminta. Osakeperusteisen palkitsemisen osuutta yrityksen koko henkilöstökuluista puolestaan selittävät yrityksen velkaantuneisuus, palkitsemistapa sekä toimialan riskisyys.

Software for design of experiments and response modelling of cake filtration applications

Filtration is a widely used unit operation in chemical engineering. The huge variation in the properties of materials to be ltered makes the study of ltration a challenging task. One of the objectives of this thesis was to show that conventional ltration theories are di cult to use when the system to be modelled contains all of the stages and features that are present in a complete solid/liquid separation process. Furthermore, most of the ltration theories require experimental work to be performed in order to obtain critical parameters required by the theoretical models. Creating a good overall understanding of how the variables a ect the nal product in ltration is somewhat impossible on a purely theoretical basis. The complexity of solid/liquid separation processes require experimental work and when tests are needed, it is advisable to use experimental design techniques so that the goals can be achieved. The statistical design of experiments provides the necessary tools for recognising the e ects of variables. It also helps to perform experimental work more economically. Design of experiments is a prerequisite for creating empirical models that can describe how the measured response is related to the changes in the values of the variable. A software package was developed that provides a ltration practitioner with experimental designs and calculates the parameters for linear regression models, along with the graphical representation of the responses. The developed software consists of two software modules. These modules are LTDoE and LTRead. The LTDoE module is used to create experimental designs for di erent lter types. The lter types considered in the software are automatic vertical pressure lter, double-sided vertical pressure lter, horizontal membrane lter press, vacuum belt lter and ceramic capillary action disc lter. It is also possible to create experimental designs for those cases where the variables are totally user de ned, say for a customized ltration cycle or di erent piece of equipment. The LTRead-module is used to read the experimental data gathered from the experiments, to analyse the data and to create models for each of the measured responses. Introducing the structure of the software more in detail and showing some of the practical applications is the main part of this thesis. This approach to the study of cake ltration processes, as presented in this thesis, has been shown to have good practical value when making ltration tests.

Esimiestyön vaikutus työhön sitoutumiseen ja työhyvinvointiin

Tutkielman kohteena on tarkastella suhteita esimiestyön, työhön sitoutumisen ja työhyvinvoinnin välillä ICT – alalla Suomessa tapaustutkimuksena. Ilmiöiden välisiä suhteita testattiin sähköisellä henkilöstön sitoutumista mittaavalla kyselylomakkeella vuosina 2011 ja 2012. Yhteensä näinä vuosina kyselyyn vastasi 538 henkilöä, joista tutkittava otos on muodostunut. Lineaarisella regressioanalyysillä osoitettiin merkittäviä tilastollisia korrelaatioita esimiestyön ja työhön sitoutumisen sekä työhön sitoutumisen ja työhyvinvoinnin välillä.

Luottamuksen vaikutus tiedon jakamiseen ja yhteistyöhön

Tutkielman tarkoituksena oli tutkia teoreettisesti ja empiirisesti luottamuksen vaikutusta organisaatioyksiköiden väliseen tiedon jakamiseen ja yhteistyöhön. Luottamuksen näkökulmasta tarkasteltiin henkilöityvän ja ei-henkilöityvän luottamuksen vaikutusta yhdessä ja erikseen. Tiedon jakamisessa tarkasteltiin hiljaisen sekä käsitteellisen tiedon jakamista. Luottamuksen vaikutusta tiedon jakamiseen on yleisesti tutkittu, mutta tutkielman tavoitteena oli tutkia ilmiötä pankki- ja vakuutusliiketoimintaa harjoittavan kohdeorganisaation näkökulmasta. Tutkimustulokset analysoitiin kvantitatiivisilla tutkimusmenetelmillä, joista mukana oli faktorianalyysi ja lineaarinen regressio. Tämän tutkimuksen perusteella luottamuksella oli positiivinen vaikutus tiedon jakamiseen. Henkilöityvän luottamuksen vaikutus oli merkittävästi voimakkaampi kuin ei-henkilöityvän luottamuksen. Luottamuksen vaikutus yhteistyöhön oli myös positiivinen, jossa henkilöityvän ja ei-henkilöityvän luottamuksen vaikutus ja voimakkuus olivat yhtäläisiä.

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.

Exchange rate volatility and the use of foreign currency derivatives: Impact of 2008 global financial crisis

This thesis examines the impact of foreign exchange rate volatility to the extent of use of foreign currency derivatives. Especially the focus is on the impacts of 2008 global financial crisis. The crisis increased risk level in the capital markets greatly. The change in the currency derivatives use is analyzed by comparing means between different periods and in addition, by linear regression that enables to analyze the explanatory power of the model. The research data consists of financial statements figures from fiscal years 2006-2011 published by firms operating in traditional Finnish industrial sectors. Volatilities of the chosen three currency pairs is calculated from the daily fixing rates of ECB. Based on the volatility the sample period is divided into three sub-periods. The results suggest that increased FX market volatility did not increase the use foreign currency derivatives. Furthermore, the increased foreign exchange rate volatility did not increase the power of linear regression model to estimate the use foreign currency derivatives compared to previous studies.

Omistajuuden vaikutus yrittäjämäiseen orientaatioon, kasvuun ja kannattavuuteen

Tämän tutkielman aiheena tutkia miten omistajuus vaikuttaa yrittäjämäiseen orientaatioon, kasvuun ja kannattavuuteen suomalaisissa osakeyhtiöissä. Omistajuuden muotoina ovat mukana valtionomistus, ulkomaalaisomistus ja julkinen/yksityinen osakeyhtiö. Tutkielmassa käytetään line-aarista regressiota tutkimaan miten nämä kolme vaikuttavat yrittäjämäiseen orientaatioon, kasvuun ja kannattavuuteen, mutta myös miten yrittäjämäinen orientaatio vaikuttaa kasvuun ja kannattavuuteen. Tutkielma osoittaa, että valitut omistajuuden muodot eivät suoraan vaikuta yrityksen kasvuun ja kannattavuuteen eikä yrittäjämäisen orientaation ta-soon suomalaisessa osakeyhtiössä.

Performance Determinants of Renewable Energy Companies

The purpose of this thesis is to identify the Performance Determinants (PD) of Renewable Energy (RE) companies. It analyzes the background of the RE industry while reflecting simultaneous developments in the fossil based industries. I divided the determinants into two groups: market level and firm level and established hypotheses based on the existing literature. Data from public companies was gathered to construct a Panel Data structure. This is then tested by using a Linear Regression with Fixed Effects model. The model specification was efficient at reflecting the analyzed phenomena. My results showed that both market level and firm level determinants are significant in the RE Industry but the firm level determinants had higher explanatory power (R2). The determinants' relationships were found to follow those from the manufacturing industry more than the utilities' industry. Out of the market level determinants Consumer Price Index (CPI), Interest Rates and Oil prices were significant. Out of the firm level determinants Debt to Assets, Net Investments, Cash flows from operations, Sales and Earnings Before Interests and Taxes (EBIT) were significant. I concluded that this information is valuable for key industry players as they can achieve their objectives faster by elaborating better strategies using these results.

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.

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.