606 resultados para Hoppu, Tuomas
Resumo:
Kirjallisuusarvostelu
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Tämän diplomityön päätavoitteena on ollut kunnossapidon kohteiden varaosien hallintaan soveltuvan laskentamallin kehittäminen ja sen tutkiminen valitussa case-kohteessa. Laskentamallissa on kartoitettu huoltovarmuuskeskeisen varastonhallinnan kannalta ne minimitiedot, joiden avulla voidaan olemassa olevat niukat lähtötiedot huomioiden tarkastella varastointikustannuksiin ja varaosien puuteriskiin liittyvää varastointiproblematiikkaa päätöksenteon tueksi. Laskentamalli voidaan jakaa kustannuskomponentteihin, jotka ovat varaosiin sitoutuneet pääomakustannukset, varaosien varastoimisesta aiheutuvat varastointikustannukset ja varaosan puutteesta laitteen vikaantuessa aiheutuvat tuotannon menetyksen kustannukset. Tämän mallin avulla on tarkoitus löytää varaosanimikkeille sopivat tilauspisteet sekä ostoeräkoot osan puutteesta aiheutuva riskikustannus huomioiden. Tämän työn tutkimusosiossa selvitettiin laskentamallin soveltuvuus ABB Oy Servicen huoltopalveluliiketoiminnan tukemiseen eri kunnossapitokohteissa. Teorioiksi mallin luomiseen määriteltiin todennäköisyyslaskentaan perustuva Poisson-jakauma varaosavaraston palveluasteen määrittämiseksi kulutustiedon / vikataajuuden perusteella sekä EOQ taloudellisen ostoeräkoon laskemiseksi.
Resumo:
Our understanding of the pathogenesis of organ‐specific autoinflammation has been restricted by limited access to the target organs. Peripheral blood, however, as a preferred transportation route for immune cells, provides a window to assess the entire immune system throughout the body. Transcriptional profiling with RNA stabilizing blood collection tubes reflects in vivo expression profiles at the time the blood is drawn, allowing detection of the disease activity in different samples or within the same sample over time. The main objective of this Ph.D. study was to apply gene‐expression microarrays in the characterization of peripheral blood transcriptional profiles in patients with autoimmune diseases. To achieve this goal a custom cDNA microarray targeted for gene‐expression profiling of human immune system was designed and produced. Sample collection and preparation was then optimized to allow gene‐expression profiling from whole‐blood samples. To overcome challenges resulting from minute amounts of sample material, RNA amplification was successfully applied to study pregnancy related immunosuppression in patients with multiple sclerosis (MS). Furthermore, similar sample preparation was applied to characterize longitudinal genome‐wide expression profiles in children with type 1 diabetes (T1D) associated autoantibodies and eventually clinical T1D. Blood transcriptome analyses, using both the ImmunoChip cDNA microarray with targeted probe selection and genome‐wide Affymetrix U133 Plus 2.0 oligonucleotide array, enabled monitoring of autoimmune activity. Novel disease related genes and general autoimmune signatures were identified. Notably, down‐regulation of the HLA class Ib molecules in peripheral blood was associated with disease activity in both MS and T1D. Taken together, these studies demonstrate the potential of peripheral blood transcriptional profiling in biomedical research and diagnostics. Imbalances in peripheral blood transcriptional activity may reveal dynamic changes that are relevant for the disease but might be completely missed in conventional cross‐sectional studies.
Resumo:
Decision-making and the available information are important components of successful innovations. However, innovation-related decision-making in large and multinational industrial companies can be considered complex and challenging. The purpose of this study is to clarify what the innovation channels are, what kind of information is needed to make decisions and how the decision-making mechanism can be improved in Target Company. In addition, the current state of innovation management and decision-making are clarified and the suggestions for improving the current decision-making mechanism are presented in this study. The empirical study proves that the innovation-related decision-making has not been systematic and efficient, although the innovation culture and activity together with the management tool are on a good level. In order to improve the decision-making in Target Company, the importance of the most relevant decision-making criterions (business need, strategic fit, feasibility) need to be underlined during the idea gathering phase. In addition, business unit –specific decision-making in the front-end of innovations needs to be enhanced and developed.
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Kirjallisuusarvostelu
Resumo:
Kirjallisuusarvostelu
Resumo:
Tutkielmassa selvitettiin algoritmisen kaupankäynnin vaikutuksia markkinatehokkuuteen. Se toteutettiin kirjallisuuskatsauksena tuoreimmista tutkimuksista. Aluksi esitellään algoritmisten kaupankäyntijärjestelmien rakenne ja tapa toimia, jonka jälkeen aiemmat tutkimukset käydään läpi. Tulokset osoittavat, että algoritminen kaupankäynti on parantanut markkinatehokkuutta hinnanmuodostuksen ja likviditeetin osalta. Merkittäviä negatiivisia vaikutuksia ei huomattu.