Kaivoskoneiden kustannusseurannan ja -raportoinnin kehittäminen

Työn tavoitteena oli kehittää kaivoskoneita valmistavalle yritykselle raportointimalli uusittujen tuotteiden kustannusten seuraamiseksi. Raporttien toivottiin olevan tarvelähtöisiä, sisällöltään luotettavia, vaivattomia päivittää sekä helposti saatavissa. Tutkimuksen toisena tavoitteena oli kartoittaa kohdeyrityksen tuotekohtaisenkustannusseurannan nykytilaa ja sen kehityskohteita. Tutkimuksen aineistoa kerättiin strukturoimattomilla haastatteluilla, yrityksen dokumentteihin tutustumalla, havainnoinnilla, keskusteluilla sekä benchmarking-menetelmällä. Luonteeltaan tutkimus oli konstruktiivinen eli sen tavoitteena oli luoda uusi ratkaisumalliongelmalliseksi koettuun tilanteeseen. Tutkimuksen tuloksena syntyi pitkälle automatisoitu kustannusraportointimalli, joka sisältää kaksi tuotekohtaista kustannusraporttityyppiä. Raportit ovat ns. on-line -raportteja eli käyttäjien on mahdollisuus lukea niitä yrityksen intranetin kautta haluamanaan aikana. Prototyyppiraportit laadittiin erään nykyisen tuoterakenteen mukaisen koneen tiedoilla.Raporttien avulla voidaan tehokkaasti seurata konekohtaisia kustannuksia ja tunnistaa ne tekijät joihin vaikuttamalla voidaan saavuttaa asetetut tavoitekustannukset. Mallissa määriteltiin myös raporttien käyttäjät, jakelu, vastuut ja päivitykset. Todellinen hyöty raportointimallista saadaan siinä vaiheessa, kun sen avulla voidaan seurata uuden tuoterakenteen kustannuksia. Tutkimuksen perusteella annettiin lisäksi suosituksia kohdeyrityksen kustannusseurannan kehittämiseksi tulevaisuudessa.

Particle transport method for convection-diffusion-reaction problems

Convective transport, both pure and combined with diffusion and reaction, can be observed in a wide range of physical and industrial applications, such as heat and mass transfer, crystal growth or biomechanics. The numerical approximation of this class of problemscan present substantial difficulties clue to regions of high gradients (steep fronts) of the solution, where generation of spurious oscillations or smearing should be precluded. This work is devoted to the development of an efficient numerical technique to deal with pure linear convection and convection-dominated problems in the frame-work of convection-diffusion-reaction systems. The particle transport method, developed in this study, is based on using rneshless numerical particles which carry out the solution along the characteristics defining the convective transport. The resolution of steep fronts of the solution is controlled by a special spacial adaptivity procedure. The serni-Lagrangian particle transport method uses an Eulerian fixed grid to represent the solution. In the case of convection-diffusion-reaction problems, the method is combined with diffusion and reaction solvers within an operator splitting approach. To transfer the solution from the particle set onto the grid, a fast monotone projection technique is designed. Our numerical results confirm that the method has a spacial accuracy of the second order and can be faster than typical grid-based methods of the same order; for pure linear convection problems the method demonstrates optimal linear complexity. The method works on structured and unstructured meshes, demonstrating a high-resolution property in the regions of steep fronts of the solution. Moreover, the particle transport method can be successfully used for the numerical simulation of the real-life problems in, for example, chemical engineering.

Organisaation päätöksenteko ja tiedon rooli. Case: UPM-Kymmene Oyj, Kaukas

Tutkielman tavoitteena on selvittää, mihin päätöksenteko perustuu teollisuusyrityksessä. Tutkimuksessa kartoitettiin kohdeorganisaation päätöksentekijöiden näkemyksiä toimintaympäristöstään, itsestään päätöksentekijöinä ja päätöksenteosta sekä tiedosta ja sen käytöstä. Lisäksi sivutaan päätöksenteon sosiaalista luonnetta. Empiirisen tutkimuksen kohdeyksikkönä on UPM-Kymmene Oyj, Kaukas Lappeenrannassa. Tutkimus on toteutettu esimiestasolle suunnattuna lomakekyselynä lokakuussa 2003. Päätöksistä yleisimpiä olivat operatiivisen tason päätökset; taktisen ja strategisen tason päätöksiä tehtiin vähemmän. Päätöstilanteista useimmin kohdattuja olivat puolijäsentyneet ja jäsentyneet tilanteet, kun taas jäsentymättömät päätöstilanteet olivat harvinaisempia. Päätöksentekoprosesseista yleisimmin käytetty oli kirjallisuudessa taktiseen päätöstasoon ja puolijäsentyneisiin päätöstilanteisiin liitetty rajoitetun rationaalisuuden malliin perustuva vaiheittainen malli. Kirjallisuudessa strategiseen päätöksentekotasoon ja jäsentymättömiin päätöstilanteisiin liitetyn ns. iteratiivisesti vaiheittaisen mallin todettiin soveltuvan myös tämänkaltaiseen päätöksentekoon. Esimiehet pitivät toimintaympäristöään teollisuusyrityksessä pääasiallisesti orgaanisena. Tällaisessa ympäristössä vaikutussuhteet ja keinot ohjata ympäristöä perustuvat pitkälti vuorovaikutteisuuteen. Päätöksentekijöiden johtamistyylin todettiin olevan pikemminkin demokraattinen kuin autoritäärinen, mikä tukee edellä mainittuja tuloksia. Tiedon lähteistä päätöksenteon kannalta tärkeimpinä ja luotettavimpina koettiin henkilökohtaiset lähteet. Sisäiset lähteet nähtiin ulkoisia tärkeämpinä ja luotettavampina niin henkilökohtaisten, tekstimuotoisten kuin online-lähteidenkin osalta. Esimiesten todettiin hyödyntävän tosiasiatietoa, kokemusta ja intuitiota eri tavoin erilaisissa päätöstilanteissa, joten myös tehokkaat keinot tukea päätöksentekoa vaihtelevat päätöstyypeittäin. Tutkimuksen tulokset perustuvat kohderyhmän kyselylomakkeella kerättyihin mielipiteisiin. Käytetystä menetelmästä johtuen mielipiteiden taustatekijät ja todellinen toiminta organisaatiossa jäävät vielä avoimiksi. Tutkimustulosten syventäminen ja vahvistaminen sekä lisätiedon saaminen organisaation päätöksenteon todellisuudesta edellyttäisi empiiristä havainnointia tai vähintäänkin haastatteluja.

Opinion Mining

In this thesis we study the field of opinion mining by giving a comprehensive review of the available research that has been done in this topic. Also using this available knowledge we present a case study of a multilevel opinion mining system for a student organization's sales management system. We describe the field of opinion mining by discussing its historical roots, its motivations and applications as well as the different scientific approaches that have been used to solve this challenging problem of mining opinions. To deal with this huge subfield of natural language processing, we first give an abstraction of the problem of opinion mining and describe the theoretical frameworks that are available for dealing with appraisal language. Then we discuss the relation between opinion mining and computational linguistics which is a crucial pre-processing step for the accuracy of the subsequent steps of opinion mining. The second part of our thesis deals with the semantics of opinions where we describe the different ways used to collect lists of opinion words as well as the methods and techniques available for extracting knowledge from opinions present in unstructured textual data. In the part about collecting lists of opinion words we describe manual, semi manual and automatic ways to do so and give a review of the available lists that are used as gold standards in opinion mining research. For the methods and techniques of opinion mining we divide the task into three levels that are the document, sentence and feature level. The techniques that are presented in the document and sentence level are divided into supervised and unsupervised approaches that are used to determine the subjectivity and polarity of texts and sentences at these levels of analysis. At the feature level we give a description of the techniques available for finding the opinion targets, the polarity of the opinions about these opinion targets and the opinion holders. Also at the feature level we discuss the various ways to summarize and visualize the results of this level of analysis. In the third part of our thesis we present a case study of a sales management system that uses free form text and that can benefit from an opinion mining system. Using the knowledge gathered in the review of this field we provide a theoretical multi level opinion mining system (MLOM) that can perform most of the tasks needed from an opinion mining system. Based on the previous research we give some hints that many of the laborious market research tasks that are done by the sales force, which uses this sales management system, can improve their insight about their partners and by that increase the quality of their sales services and their overall results.

Role of references in international industrial marketing : a theory-building case study about supplier’s processes of utilizing references

Scientific studies regarding specifically references do not seem to exist. However, the utilization of references is an important practice for many companies involved in industrial marketing. The purpose of the study is to increase the understanding about the utilization of references in international industrial marketing in order to contribute to the development of a theory of reference behavior. Specifically, the modes of reference usage in industry, the factors affecting a supplier's reference behavior, and the question how references are actually utilized, are explored in the study. Due to the explorative nature of the study, a research design was followed where theory and empirical studies alternated. An Exploratory Framework was developed to guide a pilot case study that resulted in Framework 1. Results of the pilot study guided an expanded literature review that was used to develop first a Structural Framework and a Process Framework which were combined in Framework 2. Then, the second empirical phase of the case study was conducted in the same (pilot) case company. In this phase, Decision Systems Analysis (DSA) was used as the analysis method. The DSA procedure consists of three interviewing waves: initial interviews, reinterviews, and validating interviews. Four reference decision processes were identified, described and analyzed in the form of flowchart descriptions. The flowchart descriptions were used to explore new constructs and to develop new propositions to develop Framework 2 further. The quality of the study was ascertained by many actions in both empirical parts of the study. The construct validity of the study was ascertained by using multiple sources of evidence and by asking the key informant to review the pilot case report. The DSA method itself includes procedures assuring validity. Because of the choice to conduct a single case study, external validity was not even pursued. High reliability was pursued through detailed documentation and thorough reporting of evidence. It was concluded that the core of the concept of reference is a customer relationship regardless of the concrete forms a reference might take in its utilization. Depending on various contingencies, references might have various tasks inside the four roles of increasing 1) efficiency of sales and sales management, 2) efficiency of the business, 3) effectiveness of marketing activities, and 4) effectiveness in establishing, maintaining and enhancing customer relationships. Thus, references have not only external but internal tasks as well. A supplier's reference behavior might be affected by many hierarchical conditions. Additionally, the empirical study showed that the supplier can utilize its references as a continuous, all pervasive decision making process through various practices. The process includes both individual and unstructured decision making subprocesses. The proposed concept of reference can be used to guide a reference policy recommendable for companies for which the utilization of references is important. The significance of the study is threefold: proposing the concept of reference, developing a framework of a supplier's reference behavior and its short term process of utilizing references, and conceptual structuring of an unstructured and in industrial marketing important phenomenon to four roles.

Eliminating Software Failures - A Literature Survey

Software faults are expensive and cause serious damage, particularly if discovered late or not at all. Some software faults tend to be hidden. One goal of the thesis is to figure out the status quo in the field of software fault elimination since there are no recent surveys of the whole area. Basis for a structural framework is proposed for this unstructured field, paying attention to compatibility and how to find studies. Bug elimination means are surveyed, including bug knowhow, defect prevention and prediction, analysis, testing, and fault tolerance. The most common research issues for each area are identified and discussed, along with issues that do not get enough attention. Recommendations are presented for software developers, researchers, and teachers. Only the main lines of research are figured out. The main emphasis is on technical aspects. The survey was done by performing searches in IEEE, ACM, Elsevier, and Inspect databases. In addition, a systematic search was done for a few well-known related journals from recent time intervals. Some other journals, some conference proceedings and a few books, reports, and Internet articles have been investigated, too. The following problems were found and solutions for them discussed. Quality assurance is testing only is a common misunderstanding, and many checks are done and some methods applied only in the late testing phase. Many types of static review are almost forgotten even though they reveal faults that are hard to be detected by other means. Other forgotten areas are knowledge of bugs, knowing continuously repeated bugs, and lightweight means to increase reliability. Compatibility between studies is not always good, which also makes documents harder to understand. Some means, methods, and problems are considered method- or domain-specific when they are not. The field lacks cross-field research.

Learning Robot Motions from Visual Sensing

Learning from demonstration becomes increasingly popular as an efficient way of robot programming. Not only a scientific interest acts as an inspiration in this case but also the possibility of producing the machines that would find application in different areas of life: robots helping with daily routine at home, high performance automata in industries or friendly toys for children. One way to teach a robot to fulfill complex tasks is to start with simple training exercises, combining them to form more difficult behavior. The objective of the Master’s thesis work was to study robot programming with visual input. Dynamic movement primitives (DMPs) were chosen as a tool for motion learning and generation. Assuming a movement to be a spring system influenced by an external force, making this system move, DMPs represent the motion as a set of non-linear differential equations. During the experiments the properties of DMP, such as temporal and spacial invariance, were examined. The effect of the DMP parameters, including spring coefficient, damping factor, temporal scaling, on the trajectory generated were studied.

Asiakasohjautuvan hitsaavan tilauskonepajan keinoja suhdannevaihteluiden vaikutuksen tasaamiseksi

Tämän diplomityön tarkoituksena on löytää hitsaavan asiakasohjautuvan tilauskonepajan käyttöön keinoja, joiden avulla on mahdollista tasata suhdannevaihteluiden vaikutusta yrityksen toimintaan. Korkea- ja matalasuhdanteen välistä eroa pyritään yksittäisen yrityksen osalta kaventamaan, vähentämään laskusuhdanteen vaikutuksia yritykseen ja parantamaan yrityksen valmiuksia noususuhdanteeseen siirryttäessä. Tämän työn tarkoituksen saavuttamiseksi tarkastelussa on keskitytty yrityksen tuottavuuteen, kannattavuuteen ja kustannustehokkuuteen. Tarkastelu on rajattu yksittäis- ja piensarjatuotantoon ja siinä tyypillisimmin käytössä oleviin kaarihitsausmenetelmiin. Teoreettinen tarkastelu on perustunut kirjallisuuteen ja oman työuran aikaisiin havaintoihin. Tarkastelua on täydennetty kolmen yrityksen toimitusjohtajan avoimella haastattelulla. Soveltuvina keinoina on löydetty asiakasohjautuvalle tilauskonepajalle yleisesti soveltuvia toimenpiteitä ja erikseen asiakasohjautuvan tilauskonepajan hitsaukseen soveltuvia toimenpiteitä. Löydetyillä yleisillä toimenpiteillä vaikutetaan erityisesti tuotannon sitoman pääoman määrään, toimitusvarmuuteen ja asiakassuhteen muotoon sekä niissä tapahtuviin muutoksiin. Hitsaukseen liittyvillä toimenpiteillä vaikutetaan pääasiassa tekijöihin, joiden avulla hitsaustyön määrää tuotteen valmistuksessa voidaan vähentää, tuotteen hitsaustyöhön kuluvaa aikaa voidaan pienentää ja hitsaustyötä voidaan helpottaa ja keventää.

Role of Capabilities in Purchasing and Supply Management Performance

The objective of this thesis was to study the role of capabilities in purchasing and supply management. For the pre-understanding of the research topic, purchasing and supply management development and the multidimensional, unstructured and complex nature of purchasing and supply management performance was studied in literature review. In addition, a capability-based purchasing and supply management performance framework were researched and structured for the empirical research. Due to the unstructured nature of the research topic, the empirical research is three-pronged in this study including three different research methods: the Delphi method, semi-structured interview, and case research. As a result, the purchasing and supply management capability assessment tool was structured to measure current level of capabilities and impact of capabilities on purchasing and supply management performance. The final results indicate that capabilities are enablers of purchasing and supply management performance, and therefore critical to purchasing and supply performance.

Success factors of commercial open source software projects

Open source and open source software development have been interesting phenomena during the past decade. Traditional business models do not apply with open source, where the actual product is free. However, it is possible to make business with open source, even successfully, but the question is: how? The aim of this study is to find the key factors of successfully making business out of commercial open source software development. The task is achieved by finding the factors that influence open source projects, finding the relation between those factors, and find out why some factors explain the success more than others. The literature review concentrates first on background of open innovation, open source and open source software. Then business models, critical success factors and success measures are examined. Based on existing literature a framework was created. The framework contains categorized success factors that influence software projects in general as well as open source software projects. The main categories of success factors in software business are divided into community management, technology management, project management and market management. In order to find out which of the factors based on the existing literature are the most critical, empirical research was done by conducting unstructured personal interviews. The main finding based on the interviews is that the critical success factors in open source software business do not differ from those in traditional software business or in fact from those in any other business. Some factors in the framework came out in the interviews that can be considered as key factors: establishing and communicating hierarchy (community management), localization (technology management), good license know-how and IPR management (project management), and effective market management (market management). The critical success factors according to the interviewees are not listed in the framework: low price, good product and good business model development.

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.

The challenges and success factors of commercializing cleaner technologies

Cleaner technologies include products, services, technologies, processes and systems that in use create less environmental hazard than the existing alternatives. Rapidly growing cleantech sector possesses an essential competitive advantage in the future. However, no profound research has been conducted on the characteristics of cleaner technologies and their effect on the commercialization process. This thesis aims at synthesizing scattered information and creating a basis for accelerating cleaner technology commercialization in Finnish context. Two research questions are defined: 1. What are the key challenges and success factors in the commercialization of cleaner technologies based on the existing literature? 2. What kind of lessons can be learned from the Finnish success stories of cleantech commercialization? The research was conducted as a literature review and supported with three case interviews. The results suggest that literature-based challenges are mostly related to, for example, difficulty in gathering customer information, unrealistic customer expectations, lack of resources, networks and proper success indicators, legislation, and unstructured strategy planning stemming from company culture. Handling the barriers require, above all, open communication from all stakeholders, management commitment and accurate goal setting, government-driven funding and incentives, and cooperation with educational facilities. Finnish success cases emphasize especially customer attention: listening to customers and receiving feedback from them during the whole commercialization process to correct the errors early and save resources, visionary in fulfilling customer needs, ability to question company’s own business performance, not being afraid of making mistakes but learning from them, and continuously observing and evaluating the commercialization process.

Improving the inventory management and valuation process, Case: The Switch Drive Systems

The goal of this study is to create a new inventory valuation process for The Switch Drive Systems and to improve its inventory management practices. In the matter of inventories the main problems in the case company are that it doesn’t have consistent valuation methods throughout the company and that information received in ERP system isn’t trustful. The research is qualitative case study. The empirical data is gathered through observing and unstructured interviews. The research shows that material flow process and the inventory valuation must be divided and handled separately but they should interact with each other. The result is a new inventory valuation process which takes many factors of material process under the consideration in order to receive reliable value for inventories.

Reflexive Space. A Constructionist Model of the Russian Reflexive Marker

This study examines the structure of the Russian Reflexive Marker ( ся/-сь) and offers a usage-based model building on Construction Grammar and a probabilistic view of linguistic structure. Traditionally, reflexive verbs are accounted for relative to non-reflexive verbs. These accounts assume that linguistic structures emerge as pairs. Furthermore, these accounts assume directionality where the semantics and structure of a reflexive verb can be derived from the non-reflexive verb. However, this directionality does not necessarily hold diachronically. Additionally, the semantics and the patterns associated with a particular reflexive verb are not always shared with the non-reflexive verb. Thus, a model is proposed that can accommodate the traditional pairs as well as for the possible deviations without postulating different systems. A random sample of 2000 instances marked with the Reflexive Marker was extracted from the Russian National Corpus and the sample used in this study contains 819 unique reflexive verbs. This study moves away from the traditional pair account and introduces the concept of Neighbor Verb. A neighbor verb exists for a reflexive verb if they share the same phonological form excluding the Reflexive Marker. It is claimed here that the Reflexive Marker constitutes a system in Russian and the relation between the reflexive and neighbor verbs constitutes a cross-paradigmatic relation. Furthermore, the relation between the reflexive and the neighbor verb is argued to be of symbolic connectivity rather than directionality. Effectively, the relation holding between particular instantiations can vary. The theoretical basis of the present study builds on this assumption. Several new variables are examined in order to systematically model variability of this symbolic connectivity, specifically the degree and strength of connectivity between items. In usage-based models, the lexicon does not constitute an unstructured list of items. Instead, items are assumed to be interconnected in a network. This interconnectedness is defined as Neighborhood in this study. Additionally, each verb carves its own niche within the Neighborhood and this interconnectedness is modeled through rhyme verbs constituting the degree of connectivity of a particular verb in the lexicon. The second component of the degree of connectivity concerns the status of a particular verb relative to its rhyme verbs. The connectivity within the neighborhood of a particular verb varies and this variability is quantified by using the Levenshtein distance. The second property of the lexical network is the strength of connectivity between items. Frequency of use has been one of the primary variables in functional linguistics used to probe this. In addition, a new variable called Constructional Entropy is introduced in this study building on information theory. It is a quantification of the amount of information carried by a particular reflexive verb in one or more argument constructions. The results of the lexical connectivity indicate that the reflexive verbs have statistically greater neighborhood distances than the neighbor verbs. This distributional property can be used to motivate the traditional observation that the reflexive verbs tend to have idiosyncratic properties. A set of argument constructions, generalizations over usage patterns, are proposed for the reflexive verbs in this study. In addition to the variables associated with the lexical connectivity, a number of variables proposed in the literature are explored and used as predictors in the model. The second part of this study introduces the use of a machine learning algorithm called Random Forests. The performance of the model indicates that it is capable, up to a degree, of disambiguating the proposed argument construction types of the Russian Reflexive Marker. Additionally, a global ranking of the predictors used in the model is offered. Finally, most construction grammars assume that argument construction form a network structure. A new method is proposed that establishes generalization over the argument constructions referred to as Linking Construction. In sum, this study explores the structural properties of the Russian Reflexive Marker and a new model is set forth that can accommodate both the traditional pairs and potential deviations from it in a principled manner.

Liiketoimintatiedonhallinta strategisen suunnittelun tietolähteenä, Case: OP-Pohjola-ryhmä

Finanssiala on kokonaisuutena suurten muutosten ja vaatimusten kohteena. Toisaalta globalisaatio ja kehittyvä tietotalous antavat toiminnalle suuria mahdollisuuksia, toisaalta finanssikriisin jälkeistä aikaa on leimannut perinteisen korkokatteen supistuminen ja uusien tulonlähteiden etsintä. Entistä tehokkaampi tietojenkäsittely ja asiakastietojen hyväksikäyttö luo edellytyksiä toimia alalla entistä tehokkaammin ja ohjata yrityksen päätöksentekoa tiedolla. Tämän pro gradu –tutkielman tavoitteena oli tutkia tiedon roolia OP-Pohjola-ryhmän strategiaprosessissa ja luoda malli, jolla liiketoimintatietoa pystyttäisi käyttämään tehokkaammin ja tarkoituksenmukaisemmin hyväksi strategiatyössä. Tutkielma toteutettiin tapaustutkimuksena ja empiirinen aineisto hankittiin haastattelemalla organisaation strategiaprosessiin osallistuvia tahoja. Tutkimuksen tulosten mukaan OP-Pohjola-ryhmällä ei ole määrämuotoista tapaa käyttää hyväksi liiketoimintatiedonhallinnan tuottamaa dataa. Strategiaprosessin päätöksenteossa merkittävä rooli on yksilöiden toisaalta omista organisaatioista tuottaman liiketoimintatiedon ja toisaalta yksilöiden hiljaisen tiedon varassa. Tutkimuksen lopputuloksena luotiin malli, jolla strategiaprosessiin tuotetaan tietoa määrämuotoisen ja toistettavan prosessin kautta.