Ratapihatyön turvallisuus rautatielogistiikassa

Diplomityön keskeisenä tavoitteena on ratapihahenkilöstön koulutuksessa käytettävien turvallisuusohjeiden uusiminen. Turvallisuusmateriaalia ei julkaista opinnäytetyön yhteydessä. Raportissa on käsitelty tapaturmien syntyyn liittyviä organisatorisia, inhimillisiä ja teknisiä syytekijöitä. Työhön sisältyy turvallisuuskulttuuria kartoittava mielipidekysely. Tapaturmien syntyyn on vaikea nimetä yksittäistä tekijää tai syytä. Osittain vaara menettää näkyvyytensä tapaturmattomana ajanjaksona, virheet ovat luonnollinen osa ihmisen toimintaa ja päätöksiä tehdään vajavaisen tiedon varassa. Toisaalta on vaikea luoda selkeitä mittareita ja indikaattoreita, jotka kertoisivat yrityksen todellisesta turvallisuustasosta.

Key performance indicators for successful metadata governance

Metadata in increasing levels of sophistication has been the most powerful concept used in management of unstructured information ever since the first librarian used the Dewey decimal system for library classifications. It remains to be seen, however, what the best approach is to implementing metadata to manage huge volumes of unstructured information in a large organization. Also, once implemented, how is it possible to track whether it is adding value to the company, and whether the implementation has been successful? Existing literature on metadata seems to either focus too much on technical and quality aspects or describe issues with respect to adoption for general information management initiatives. This research therefore, strives to contribute to these gaps: to give a consolidated framework for striving to understand the value added by implementing metadata. The basic methodology used is that of case study, which incorporates aspects of design science, surveys, and interviews in order to provide a holistic approach to quantitative and qualitative analysis of the case. The research identifies the various approaches to implementing metadata, particularly studying the one followed by the unit of analysis of case study, a large company in the Oil and Gas Sector. Of the three approaches identified, the selected company already follows an approach that appears to be superior. The researcher further explores its shortcomings, and proposes a slightly modified approach that can handle them. The research categorically and thoroughly (in context) identifies the top effectiveness criteria, and corresponding key performance indicators(KPIs) that can be measured to understand the level of advancement of the metadata management initiative in the company. In an effort to contrast and have a basis of comparison for the findings, the research also includes views from information managers dealing with core structured data stored in ERPs and other databases. In addition, the results include the basic criteria that can be used to evaluate metrics, in order to classify a metric as a KPI.

Viitearkkitehtuuri Windows-sovelluksen käyttöliittymän modernisoimiseksi web-sovellukseksi

IT-järjestelmillä on tärkeä rooli organisaation liiketoiminnassa. Koska organisaation liiketoimintavaatimukset ja strategia muuttuvat ympäröivän maailman mukaan, täytyy järjestelmän arkkitehtuurin sopeutua vallitsevaan tilanteeseen sekä mahdollisiin muutoksiin lyhyellä ja pitkällä aikavälillä. Modernin web-sovelluksen arkkitehtuuri sopeutuu organisaation liiketoiminnan haasteisiin. Erityisesti hallinnolliseksi ongelmaksi organisaatiossa muodostuvat Windows-sovellukset, koska niiden ylläpito sitoo henkilöresursseja ja niiden käyttökonteksti on rajallinen. Tästä syystä organisaatiot ovat käyneet etsimään ratkaisuja kuinka korvata Windows-sovellukset web-sovelluksilla. Kustannustehokas ratkaisu on modernisoida Windows-sovelluksen käyttöliittymä web-sovellukseksi. Tämän diplomityön tavoitteena oli laatia Logica Suomi Oy yritykselle viitearkkitehtuuri Win-dows-sovelluksen käyttöliittymän modernisoimiseksi web-sovellukseksi. Työ suoritettiin Proof of Concept projektissa, jossa modernisointiin Logican pääkäyttäjäsovellus. Työn tarkoituksena oli tunnistaa laajalti käytetyt arkkitehtuurimallit ja menetelmät jotka mahdollistavat modernisoinnin toteutuksen. Lisäksi tarkoitus oli tunnistaa menetelmät ja ohjelmistot jotka mahdollistavat kustannustehokkaan ja laadukkaan web-sovelluksen kehittämisen ja toteuttamisen. Työn osatavoitteena oli laatia modernisoitavan pääkäyttäjäsovelluksen kokonaisarkkitehtuuri. Työn tuloksena saatiin viitearkkitehtuuri jota voidaan käyttää ja hyödyntää ohjelmistokehitysprojekteissa, asiakkaan dokumentaatiossa, myynnissä ja markkinoinnissa. Viitearkkitehtuurissa on esitelty modernit web-teknologiat joilla on mahdollista toteuttaa web-sovellus jonka käyttökokemus vastaa Windows-sovellusta. Lisäksi tuloksena saatiin pääkäyttäjäsovelluksen kokonaisarkkitehtuuri, jonka tärkeimpiä tuloksia ovat modernisoinnin tavoitetila ja sovellusarkkitehtuuri. Tärkeimpiä jatkotoimenpiteitä ovat viitearkkitehtuuriin pohjautuvan modernisointiviitekehyksen laadinta sekä modernisointiprojektin arviointiin käytettävien mittareiden määrittely, suunnittelu ja toteutus. Relevanttien mittareiden avulla voidaan todeta, vastaako modernisoitu sovellus organisaation liiketoimintavaatimuksia ja strategiaa.

Pricing anomalies in the Finnish stock market

The aim of this thesis is to examine whether the pricing anomalies exists in the Finnish stock markets by comparing the performance of quantile portfolios that are formed on the basis of either individual valuation ratios, composite value measures or combined value and momentum indicators. All the research papers included in the thesis show evidence of value anomalies in the Finnish stock markets. In the first paper, the sample of stocks over the 1991-2006 period is divided into quintile portfolios based on four individual valuation ratios (i.e., E/P, EBITDA/EV, B/P, and S/P) and three hybrids of them (i.e. composite value measures). The results show the superiority of composite value measures as selection criterion for value stocks, particularly when EBITDA/EV is employed as earnings multiple. The main focus of the second paper is on the impact of the holding period length on performance of value strategies. As an extension to the first paper, two more individual ratios (i.e. CF/P and D/P) are included in the comparative analysis. The sample of stocks over 1993- 2008 period is divided into tercile portfolios based on six individual valuation ratios and three hybrids of them. The use of either dividend yield criterion or one of three composite value measures being examined results in best value portfolio performance according to all performance metrics used. Parallel to the findings of many international studies, our results from performance comparisons indicate that for the sample data employed, the yearly reformation of portfolios is not necessarily optimal in order to maximally gain from the value premium. Instead, the value investor may extend his holding period up to 5 years without any decrease in long-term portfolio performance. The same holds also for the results of the third paper that examines the applicability of data envelopment analysis (DEA) method in discriminating the undervalued stocks from overvalued ones. The fourth paper examines the added value of combining price momentum with various value strategies. Taking account of the price momentum improves the performance of value portfolios in most cases. The performance improvement is greatest for value portfolios that are formed on the basis of the 3-composite value measure which consists of D/P, B/P and EBITDA/EV ratios. The risk-adjusted performance can be enhanced further by following 130/30 long-short strategy in which the long position of value winner stocks is leveraged by 30 percentages while simultaneously selling short glamour loser stocks by the same amount. Average return of the long-short position proved to be more than double stock market average coupled with the volatility decrease. The fifth paper offers a new approach to combine value and momentum indicators into a single portfolio-formation criterion using different variants of DEA models. The results throughout the 1994-2010 sample period shows that the top-tercile portfolios outperform both the market portfolio and the corresponding bottom-tercile portfolios. In addition, the middle-tercile portfolios also outperform the comparable bottom-tercile portfolios when DEA models are used as a basis for stock classification criteria. To my knowledge, such strong performance differences have not been reported in earlier peer-reviewed studies that have employed the comparable quantile approach of dividing stocks into portfolios. Consistently with the previous literature, the division of the full sample period into bullish and bearish periods reveals that the top-quantile DEA portfolios lose far less of their value during the bearish conditions than do the corresponding bottom portfolios. The sixth paper extends the sample period employed in the fourth paper by one year (i.e. 1993- 2009) covering also the first years of the recent financial crisis. It contributes to the fourth paper by examining the impact of the stock market conditions on the main results. Consistently with the fifth paper, value portfolios lose much less of their value during bearish conditions than do stocks on average. The inclusion of a momentum criterion somewhat adds value to an investor during bullish conditions, but this added value turns to negative during bearish conditions. During bear market periods some of the value loser portfolios perform even better than their value winner counterparts. Furthermore, the results show that the recent financial crisis has reduced the added value of using combinations of momentum and value indicators as portfolio formation criteria. However, since the stock markets have historically been bullish more often than bearish, the combination of the value and momentum criteria has paid off to the investor despite the fact that its added value during bearish periods is negative, on an average.

Measuring effects of strategic utilization of social media in business-to-business marketing: Case Greenlux Finland Oy

Utilization of social media is increasingly common in B2B marketing. Social media is an efficient and cheap marketing and communication channel available for everyone, and thus extremely attractive marketing medium. The more companies get involved in social media the more failures are reported. It is not enough for a company to just be present in social media. Succeeding on it requires hard work, investing time and money, and ability to measure and to monitor performance. With an increasing number of companies failing in utilizing social media, together with lack of research on strategic utilization of social media focusing on B2B marketing, measuring, and monitoring create a purpose for this research. The aim of this research is to discover methods for measuring and monitoring effects of strategic utilization of social media in B2B marketing. Most relevant financial and non-financial indicators are discussed, and the methods by which these can be monitored and measured. In addition, effects of strategic utilization of social media on the case company are measured and analyzed. The research methodology used in this research is a participatory action research, which includes elements of both qualitative and quantitative research methods. The case company examined in the research provides a unique opportunity to follow through all phases of strategic utilization of social media for B2B marketing purposes concluding real effects of social media to the case company, and thus gain a deep understanding about this new marketing medium in the perspective of B2B marketing. Duration of the research period is seven months. During this time, information is collected, measured, and analyzed. Case company does not have any other marketing activities simultaneously which makes it possible to examine social media apart from effects of other visible marketing activities. Effects of strategic utilization of social media can be monitored and measured in many ways. Methods that should be used depend on goals set for social media. Fundamental nature of social media requires multidimensional assessment, and thus effects should be measured, and monitored considering both financial and non-financial indicators. The results implicates that effects of strategic utilization of social media are relatively wide ranged. According to the findings, social media affects positively on brand, number of web page visitors, visitor behavior, and on distribution of awareness. According to investment calculations social media is a legitimate investment for case company. Results also implicate that by using social media case company gains conversation, arouses interest, gets attention, and creates interactivity. In addition and as a side note, winter holiday season appears to have a great effect on social media activity of B2B companies’ representatives.

Supply chain performance management system

The purpose of the study is to determine general features of the supply chain performance management system, to assess the current state of performance management in the case company mills and to make proposals for improvement – how the future state of performance management system would look like. The study covers four phases which consist of theory and case company parts. Theoretical review gives understanding about performance management and measurement. Current state analysis assesses the current state of performance management in the mills. Results and proposals for improvement are derived from current state analysis and finally the conclusions with answers to research questions are presented. Supply chain performance management system consists of five areas: perfor-mance measurement and metrics, action plans, performance tracking, performance dialogue and rewards, consequences and actions. The result of the study revealed that all mills were quite average level in performance management and there is a room for improvement. Created performance improvement matrix served as a tool in assessing current performance management and could work also as a tool in the future in mapping the current state after transformation process. Limited harmonization was revealed as there were different ways to work and manage performance in the mills. Lots of good ideas existed though actions are needed to make a progress. There is also need to harmonize KPI structure.

Hedge-rahastojen menestyksen pysyvyyden empiirinen tarkastelu sijoittajan näkökulmasta

This study examines performance persistence of hedge funds from investor's point of view and look at the methods by which an investor could choose the successful hedge funds to the portfolio. This study was used the data from HFI & Tremont databases on period 1998-2007. In this study used the 36-month combination (24-month selection and 12-month prediction periods). As the research methods used the Sharpe index, raw returns, MVR (mean variance ratio), GSC-clustering, the SDI index and the new combination of metrics. The evaluation criterions of the results used the volatility, excess returns and the Sharpe index. This study compared different results from the 7 time series with each other, and commenting the problems on a portfolio loss of funds.

Parasites of the freshwater fish trade in Brazil: science metric study

This paper presents a science metric study of parasites of fish farming in Brazil, including a significant review of the literature. The methodology used was based on researching articles in three different databases, carried out ​on May 2012: ISI (Institute for Scientific Information), SciELO (Scientific Electronic Library Online), and Google Academic. The number of articles on fish parasites is mounting (currently over 110), having much increased since 1995. However, the quantity is still low compared with the amount of papers on parasites of fish from natural environments. In Brazil, the farmed fish that have been studied the most are pacu, tilapia and tambaqui. Monogeneans represent the most prevalent group, followed by protozoa and crustaceans. The regions most researched were the southeast and south, making up 84% of the total literature. The main issue addressed in articles was pathology, followed by treatment and record. In conclusion, the treatment of parasitic diseases of farmed fish in Brazil is still incipient, highlighting the importance and usefulness of management practices to prevent the occurrence of health problems.

Tuotekehityksen suorituskyvyn tehostaminen metalliteollisuusyrityksessä

Tuotekehityksen rooli yrityksen oleellisena menestystekijänä korostuu entistä enemmän alati kovenevassa kilpailussa. Tuotekehityksen tulee toimia entistä tehokkaammin turvatakseen yrityksen menestyminen. Tämän tutkimuksen tavoitteena oli selvittää ja tuoda esiin niitä oleellisia tekijöitä, jotka vaikuttavat metalliteollisuudessa toimivan yrityksen tuotekehityksen suorituskykyyn ja sen tehostamiseen. Tutkimuksen avulla pyrittiin lisäämään informaatiota tuotekehitys- ja yritysjohdon päätöksenteon tueksi. Lisäksi tutkimus antaa tietoa tuotekehityksen suorituskyvyn mittausjärjestelmän suunnittelusta, käyttöönotosta, käytöstä sekä käytetyistä mittausjärjestelmistä ja mittareista. Tuotekehityksen suorituskykyä tarkasteltiin useammasta näkökulmasta. Empiiristä aineistoa koottiin kirjallisuuskatsauksen ja yrityksessä toteutetun kyselyn avulla. Yrityskyselyssä käytettiin neliportaista Likert-skaalaa. Kyselyn tuloksia arvioitiin keskiarvojen ja -hajontojen perusteella. Tutkimuksen tuloksena selvisi, että suorituskyvyn mittauksella ja mittausjärjestelmän avulla voidaan tehostaa tuotekehityksen suorituskykyä. Niitä tärkeitä osa-alueita, joihin tehostamistoimenpiteet tulee kohdistaa, ovat asiakas, henkilöstö, strategia, talous ja mittaamiseen liittyvät tekijät. Yrityksissä piilevänä olevan aineettoman pääoman arvoa ja sen tarjoamaa menestyspotentiaalia ei ole aina tiedostettu.

Värispekrien eron laskenta

Olemassa olevat spektrieromittarit eivät vastaa riittävästi CIEDE2000-värieroa. Tämän työn tavoitteena oli toteuttaa menetelmä, joka laskee värispektrien eron siten, että tulos vastaa CIEDE2000-värieroa. Kehitystyön tuloksena syntyi menetelmä, joka perustuu ennalta laskettuihin eroihin tunnettujen spektrien välillä ja niiden perusteella johdettuihin laskentaparametreihin. menetelmällä pystyy laskemaan spektrieroja vain niiden spektrien välillä, jotka saadaan sekoittamalla tunnettuja spektrejä. Laskentaparametrien laskenta on työläs prosessi ja siksi menetelmään toteutettiin hajautus usealle tietokoneelle. Menetelmä saatiin vastaamaan hyvin CIEDE2000:ia suurimmalle osalle spektrejä harvoja poikkeuksia lukuunottamatta. Ongelmat johtuvat mallissa olevasta matemaattisesta ominaisuudesta. Spektrieromittari näyttää metameerisille spektreille nollasta poikkeavan arvon, vaikka CIEDE2000 näyttää nollaa. Tämä osoittaa spektrieromittarin oikeamman toiminnan CIEDE2000-värieroon verrattuna.

Huoltoasentajien kannustava palkkiojärjestelmä: case Konecranes Service Oy

Tämän tutkimuksen tavoitteena oli laatia Konecranes Service Oy:n huoltohenkilökunnalle kannustava palkkiojärjestelmä nykyisen kannustinjärjestelmän rinnalle. Diplomityö toteutettiin huhti- syyskuussa 2012 Konecranes Service Oy:ssä projektina, jonka työryhmän jäsenenä tutkija toimi. Tutkimusaineistoa kerättiin haastattelemalla yrityksen henkilökuntaa mahdollisimman laajasti sekä etsimällä käytössä olevia kannustinjärjestelmiä muista vastaavista yrityksistä. Työn teoreettisessa osiossa tarkasteltiin tulospalkkauksen kokonaisuutta sekä työhön liittyviä sisäisiä ja ulkoisia motivaatiotekijöitä. Teoriaosuudessa käsiteltiin lisäksi palkitsemisen kokonaisuutta sekä määriteltiin palkitsemiskohteen (huoltoasentajan) toimenkuvaa, jolloin mahdolliset, huoltoasentajan vaikutuspiirin alaiset mittarit, saatiin rajattua. Empiirinen osuus keskittyi mittareiden hakemiseen sekä sopivan mittariston kehittämiseen toimivaksi kokonaisuudeksi. Tutkimuksen tuloksena syntyi Konecranes Service Oy:n huoltohenkilökunnalle räätälöity mittaristo, jossa on pyritty ottamaan huomioon yrityksen eri toimipisteiden huoltoasentajien mahdollisuudet mahdollisimman kattavasti. Mittaristo on sovellettavissa eri toimintaympäristöihin, mikä vastaa yrityksen asettamiin tarpeisiin.

Differentiation of Metabolically Distinct Areas within Head and Neck Region using Dynamic 18F-FDG Positron Emission Tomography Imaging

Positron Emission Tomography (PET) using ¹⁸F-FDG is playing a vital role in the diagnosis and treatment planning of cancer. However, the most widely used radiotracer, ¹⁸F-FDG, is not specific for tumours and can also accumulate in inflammatory lesions as well as normal physiologically active tissues making diagnosis and treatment planning complicated for the physicians. Malignant, inflammatory and normal tissues are known to have different pathways for glucose metabolism which could possibly be evident from different characteristics of the time activity curves from a dynamic PET acquisition protocol. Therefore, we aimed to develop new image analysis methods, for PET scans of the head and neck region, which could differentiate between inflammation, tumour and normal tissues using this functional information within these radiotracer uptake areas. We developed different dynamic features from the time activity curves of voxels in these areas and compared them with the widely used static parameter, SUV, using Gaussian Mixture Model algorithm as well as K-means algorithm in order to assess their effectiveness in discriminating metabolically different areas. Moreover, we also correlated dynamic features with other clinical metrics obtained independently of PET imaging. The results show that some of the developed features can prove to be useful in differentiating tumour tissues from inflammatory regions and some dynamic features also provide positive correlations with clinical metrics. If these proposed methods are further explored then they can prove to be useful in reducing false positive tumour detections and developing real world applications for tumour diagnosis and contouring.

Ensuring the efficient utilization of Business Intelligence

In recent years, chief information officers (CIOs) around the world have identified Business Intelligence (BI) as their top priority and as the best way to enhance their enterprises competitiveness. Yet, many enterprises are struggling to realize the business value that BI promises. This discrepancy causes important questions, for example: what are the critical success factors of Business Intelligence and, more importantly, how it can be ensured that a Business Intelligence program enhances enterprises competitiveness. The main objective of the study is to find out how it can be ensured that a BI program meets its goals in providing competitive advantage to an enterprise. The objective is approached with a literature review and a qualitative case study. For the literature review the main objective populates three research questions (RQs); RQ1: What is Business Intelligence and why is it important for modern enterprises? RQ2: What are the critical success factors of Business Intelligence programs? RQ3: How it can be ensured that CSFs are met? The qualitative case study covers the BI program of a Finnish global manufacturer company. The research questions for the case study are as follows; RQ4: What is the current state of the case company’s BI program and what are the key areas for improvement? RQ5: In what ways the case company’s Business Intelligence program could be improved? The case company’s BI program is researched using the following methods; action research, semi-structured interviews, maturity assessment and benchmarking. The literature review shows that Business Intelligence is a technology-based information process that contains a series of systematic activities, which are driven by the specific information needs of decision-makers. The objective of BI is to provide accurate, timely, fact-based information, which enables taking actions that lead to achieving competitive advantage. There are many reasons for the importance of Business Intelligence, two of the most important being; 1) It helps to bridge the gap between an enterprise’s current and its desired performance, and 2) It helps enterprises to be in alignment with key performance indicators meaning it helps an enterprise to align towards its key objectives. The literature review also shows that there are known critical success factors (CSFs) for Business Intelligence programs which have to be met if the above mentioned value is wanted to be achieved, for example; committed management support and sponsorship, business-driven development approach and sustainable data quality. The literature review shows that the most common challenges are related to these CSFs and, more importantly, that overcoming these challenges requires a more comprehensive form of BI, called Enterprise Performance Management (EPM). EPM links measurement to strategy by focusing on what is measured and why. The case study shows that many of the challenges faced in the case company’s BI program are related to the above-mentioned CSFs. The main challenges are; lack of support and sponsorship from business, lack of visibility to overall business performance, lack of rigid BI development process, lack of clear purpose for the BI program and poor data quality. To overcome these challenges the case company should define and design an enterprise metrics framework, make sure that BI development requirements are gathered and prioritized by business, focus on data quality and ownership, and finally define clear goals for the BI program and then support and sponsor these goals.

Thermal-Aware Networked Many-Core Systems

Advancements in IC processing technology has led to the innovation and growth happening in the consumer electronics sector and the evolution of the IT infrastructure supporting this exponential growth. One of the most difficult obstacles to this growth is the removal of large amount of heatgenerated by the processing and communicating nodes on the system. The scaling down of technology and the increase in power density is posing a direct and consequential effect on the rise in temperature. This has resulted in the increase in cooling budgets, and affects both the life-time reliability and performance of the system. Hence, reducing on-chip temperatures has become a major design concern for modern microprocessors. This dissertation addresses the thermal challenges at different levels for both 2D planer and 3D stacked systems. It proposes a self-timed thermal monitoring strategy based on the liberal use of on-chip thermal sensors. This makes use of noise variation tolerant and leakage current based thermal sensing for monitoring purposes. In order to study thermal management issues from early design stages, accurate thermal modeling and analysis at design time is essential. In this regard, spatial temperature profile of the global Cu nanowire for on-chip interconnects has been analyzed. It presents a 3D thermal model of a multicore system in order to investigate the effects of hotspots and the placement of silicon die layers, on the thermal performance of a modern ip-chip package. For a 3D stacked system, the primary design goal is to maximise the performance within the given power and thermal envelopes. Hence, a thermally efficient routing strategy for 3D NoC-Bus hybrid architectures has been proposed to mitigate on-chip temperatures by herding most of the switching activity to the die which is closer to heat sink. Finally, an exploration of various thermal-aware placement approaches for both the 2D and 3D stacked systems has been presented. Various thermal models have been developed and thermal control metrics have been extracted. An efficient thermal-aware application mapping algorithm for a 2D NoC has been presented. It has been shown that the proposed mapping algorithm reduces the effective area reeling under high temperatures when compared to the state of the art.

Altmetrics in practice: How are institutional repositories using altmetrics today?

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