Automated Purchase to Pay Process Value Modeling and Comparative Process Speeds

The importance of efficient supply chain management has increased due to globalization and the blurring of organizational boundaries. Various supply chain management technologies have been identified to drive organizational profitability and financial performance. Organizations have historically been concentrating heavily on the flow of goods and services, while less attention has been dedicated to the flow of money. While supply chains are becoming more transparent and automated, new opportunities for financial supply chain management have emerged through information technology solutions and comprehensive financial supply chain management strategies. This research concentrates on the end part of the purchasing process which is the handling of invoices. Efficient invoice processing can have an impact on organizations working capital management and thus provide companies with better readiness to face the challenges related to cash management. Leveraging a process mining solution the aim of this research was to examine the automated invoice handling process of four different organizations. The invoice data was collected from each organizations invoice processing system. The sample included all the invoices organizations had processed during the year 2012. The main objective was to find out whether e-invoices are faster to process in an automated invoice processing solution than scanned invoices (post entry into invoice processing solution). Other objectives included looking into the longest lead times between process steps and the impact of manual process steps on cycle time. Processing of invoices from maverick purchases was also examined. Based on the results of the research and previous literature on the subject, suggestions for improving the process were proposed. The results of the research indicate that scanned invoices were processed faster than e-invoices. This is mostly due to the more complex processing of e-invoices. It should be noted however that the manual tasks related to turning a paper invoice into electronic format through scanning are ignored in this research. The transitions with the longest lead times in the invoice handling process included both pre-automated steps as well as manual steps performed by humans. When the most common manual steps were examined in more detail, it was clear that these steps had a prolonging impact on the process. Regarding invoices from maverick purchases the evidence shows that these invoices were slower to process than invoices from purchases conducted through e-procurement systems and from preferred suppliers. Suggestions on how to improve the process included: increasing invoice matching, reducing of manual steps and leveraging of different value added services such as invoice validation service, mobile solutions and supply chain financing services. For companies that have already reaped all the process efficiencies the next step is to engage in collaborative financial supply chain management strategies that can benefit the whole supply chain.

Developing purchase invoice processing through workflow automation

The aim of this master’s thesis is to research and analyze how purchase invoice processing can be automated and streamlined in a system renewal project. The impacts of workflow automation on invoice handling are studied by means of time, cost and quality aspects. Purchase invoice processing has a lot of potential for automation because of its labor-intensive and repetitive nature. As a case study combining both qualitative and quantitative methods, the topic is approached from a business process management point of view. The current process was first explored through interviews and workshop meetings to create a holistic understanding of the process at hand. Requirements for process streamlining were then researched focusing on specified vendors and their purchase invoices, which helped to identify the critical factors for successful invoice automation. To optimize the flow from invoice receipt to approval for payment, the invoice receiving process was outsourced and the automation functionalities of the new system utilized in invoice handling. The quality of invoice data and the need of simple structured purchase order (PO) invoices were emphasized in the system testing phase. Hence, consolidated invoices containing references to multiple PO or blanket release numbers should be simplified in order to use automated PO matching. With non-PO invoices, it is important to receive the buyer reference details in an applicable invoice data field so that automation rules could be created to route invoices to a review and approval flow. In the beginning of the project, invoice processing was seen ineffective both time- and cost-wise, and it required a lot of manual labor to carry out all tasks. In accordance with testing results, it was estimated that over half of the invoices could be automated within a year after system implementation. Processing times could be reduced remarkably, which would then result savings up to 40 % in annual processing costs. Due to several advancements in the purchase invoice process, business process quality could also be perceived as improved.

Development of Color Difference Equations Matching to Human Vision System

Research on color difference evaluation has been active in recent thirty years. Several color difference formulas were developed for industrial applications. The aims of this thesis are to develop the color density which is denoted by comb g and to propose the color density based chromaticity difference formulas. Color density is derived from the discrimination ellipse parameters and color positions in the xy , xyY and CIELAB color spaces, and the color based chromaticity difference formulas are compared with the line element formulas and CIE 2000 color difference formulas. As a result of the thesis, color density represents the perceived color difference accurately, and it could be used to characterize a color by the attribute of perceived color difference from this color.

Optimizing Customer Energy Invoice Calculation with Parallel Computation

Diplomityön tarkoituksena on optimoida asiakkaiden sähkölaskun laskeminen hajautetun laskennan avulla. Älykkäiden etäluettavien energiamittareiden tullessa jokaiseen kotitalouteen, energiayhtiöt velvoitetaan laskemaan asiakkaiden sähkölaskut tuntiperusteiseen mittaustietoon perustuen. Kasvava tiedonmäärä lisää myös tarvittavien laskutehtävien määrää. Työssä arvioidaan vaihtoehtoja hajautetun laskennan toteuttamiseksi ja luodaan tarkempi katsaus pilvilaskennan mahdollisuuksiin. Lisäksi ajettiin simulaatioita, joiden avulla arvioitiin rinnakkaislaskennan ja peräkkäislaskennan eroja. Sähkölaskujen oikeinlaskemisen tueksi kehitettiin mittauspuu-algoritmi.

Adult education policy in the European Union during the Lisbon decade : the shift to vocational adult learning and work skills matching

This doctoral dissertation investigates the adult education policy of the European Union (EU) in the framework of the Lisbon agenda 2000–2010, with a particular focus on the changes of policy orientation that occurred during this reference decade. The year 2006 can be considered, in fact, a turning point for the EU policy-making in the adult learning sector: a radical shift from a wide--ranging and comprehensive conception of educating adults towards a vocationally oriented understanding of this field and policy area has been observed, in particular in the second half of the so--called ‘Lisbon decade’. In this light, one of the principal objectives of the mainstream policy set by the Lisbon Strategy, that of fostering all forms of participation of adults in lifelong learning paths, appears to have muted its political background and vision in a very short period of time, reflecting an underlying polarisation and progressive transformation of European policy orientations. Hence, by means of content analysis and process tracing, it is shown that the new target of the EU adult education policy, in this framework, has shifted from citizens to workers, and the competence development model, borrowed from the corporate sector, has been established as the reference for the new policy road maps. This study draws on the theory of governance architectures and applies a post-ontological perspective to discuss whether the above trends are intrinsically due to the nature of the Lisbon Strategy, which encompasses education policies, and to what extent supranational actors and phenomena such as globalisation influence the European governance and decision--making. Moreover, it is shown that the way in which the EU is shaping the upgrading of skills and competences of adult learners is modeled around the needs of the ‘knowledge economy’, thus according a great deal of importance to the ‘new skills for new jobs’ and perhaps not enough to life skills in its broader sense which include, for example, social and civic competences: these are actually often promoted but rarely implemented in depth in the EU policy documents. In this framework, it is conveyed how different EU policy areas are intertwined and interrelated with global phenomena, and it is emphasised how far the building of the EU education systems should play a crucial role in the formation of critical thinking, civic competences and skills for a sustainable democratic citizenship, from which a truly cohesive and inclusive society fundamentally depend, and a model of environmental and cosmopolitan adult education is proposed in order to address the challenges of the new millennium. In conclusion, an appraisal of the EU’s public policy, along with some personal thoughts on how progress might be pursued and actualised, is outlined.

Local Features in Image and Video Processing - Object Class Matching and Video Shot Detection

The usage of digital content, such as video clips and images, has increased dramatically during the last decade. Local image features have been applied increasingly in various image and video retrieval applications. This thesis evaluates local features and applies them to image and video processing tasks. The results of the study show that 1) the performance of different local feature detector and descriptor methods vary significantly in object class matching, 2) local features can be applied in image alignment with superior results against the state-of-the-art, 3) the local feature based shot boundary detection method produces promising results, and 4) the local feature based hierarchical video summarization method shows promising new new research direction. In conclusion, this thesis presents the local features as a powerful tool in many applications and the imminent future work should concentrate on improving the quality of the local features.

Invoice process analysis and development. Case: Power and automation technology company

This master’s thesis studies the case company’s current purchase invoice process and the challenges that are related to it. Like most of other master’s thesis this study consists of both theoretical- and empirical parts. The purpose of this work is to combine theoretical and empirical parts together so that the theoretical part brings value to the empirical case study. The case company’s main business is frequency converters for both low voltage AC & DC drives and medium voltage AC Drives which are used across all industries and applications. The main focus of this study is on the current invoice process modelling. When modelling the existing process with discipline and care, current challenges can be understood better. Empirical study relays heavily on interviews and existing, yet fragmented, data. This, along with own calculations and analysis, creates the foundation for the empirical part of this master’s thesis.

Current State of Ontology Matching. A Survey of Ontology and Schema Matching

Ontology matching is an important task when data from multiple data sources is integrated. Problems of ontology matching have been studied widely in the researchliterature and many different solutions and approaches have been proposed alsoin commercial software tools. In this survey, well-known approaches of ontologymatching, and its subtype schema matching, are reviewed and compared. The aimof this report is to summarize the knowledge about the state-of-the-art solutionsfrom the research literature, discuss how the methods work on different application domains, and analyze pros and cons of different open source and academic tools inthe commercial world.

Map matching by using inertial sensors: literature review

This literature review aims to clarify what is known about map matching by using inertial sensors and what are the requirements for map matching, inertial sensors, placement and possible complementary position technology. The target is to develop a wearable location system that can position itself within a complex construction environment automatically with the aid of an accurate building model. The wearable location system should work on a tablet computer which is running an augmented reality (AR) solution and is capable of track and visualize 3D-CAD models in real environment. The wearable location system is needed to support the system in initialization of the accurate camera pose calculation and automatically finding the right location in the 3D-CAD model. One type of sensor which does seem applicable to people tracking is inertial measurement unit (IMU). The IMU sensors in aerospace applications, based on laser based gyroscopes, are big but provide a very accurate position estimation with a limited drift. Small and light units such as those based on Micro-Electro-Mechanical (MEMS) sensors are becoming very popular, but they have a significant bias and therefore suffer from large drifts and require method for calibration like map matching. The system requires very little fixed infrastructure, the monetary cost is proportional to the number of users, rather than to the coverage area as is the case for traditional absolute indoor location systems.

Invoice-kaupan edut ja haitat verrattuna tavalliseen Tax Free kauppaan

Kandidaatintutkielmani käsittelee Invoice-kauppaa ja sitä, mitä etuja siihen liittyy verrattuna tavanomaiseen tax-free kauppaan. Invoice-veronpalautusjärjestelmässä EU:n ulkopuolella asuva asiakas saa veronpalautuksen samasta liikkeestä seuraavalla asiointikerralla. Arvonlisäveronpalautukset on kuitenkin haettava puolen vuoden sisällä ostosten tekemisestä. Tavanomaisessa tax-free kaupassa asiakas saa arvonlisäveronpalautuksen rajalta poistuessaan Suomesta. Invoicea käytettäessä asiakas saa verosta isomman osan takaisin kuin tavanomaisessa tax-free kaupassa, mutta palautuksen saaminen kestää kauemmin, koska Invoicea käytettäessä veronpalautuksen voi saada vain samasta liikkeestä, missä ostokset on tehty. Tutkielmani tarkastelee aihetta kauppiaan näkökulmasta. Kauppiaan kannalta Invoicen etuna on erityisesti asiakkaiden ”koukuttaminen”, koska veronpalautukset on aina haettava samasta liikkestä, mistä tuotteet on ostettu. Näin samat asiakkaat tulevat usein samaan liikkeeseen myös seuraavilla Suomen matkoilla saadakseen veronpalautukset. Tämä tuo liikkeille usein myös uusia kanta-asiakkaita.Toisaalta on huomioitava myös Invoicen käytöstä kauppiaalle ja kassoille mahdollisesti aiheutuva lisätyö ja kustannukset. Veronpalautusten maksaminen takaisin asiakkaille ja tullissa leimattujen kuittien käsittely vie kassoilla tavanomaista enemmän aikaa ja saattaa vaatia lisää henkilökuntaa. Tutkielma on toteutettu laadullisena eli kvalitatiivisena ja tutkimusmenetelmänä on käytetty haastatteluita. Haastateltavat ovat kauppiaita Kaakkois-Suomen alueelta. Tavoitteenani oli koota mahdollisimman monipuolinen haastateltavien joukko sisältäen niin vaate- ja vapaa-ajan liikkeitä kuin sekatavara- ja päivittäistavarakauppoja. Teorialähteinä käytin yliopiston kirjastosta lainattuja kirjoja, LUT:in tietokantojen ja Edilex-tietokannan artikkeleita sekä Verohallinnon dokumentteja ja verkkojulkaisuja. Lisäksi olen hyödyntänyt tutkielmassani myös ajankohtaisia uutisia sekä erilaisten paikallis- ja aikakauslehtien artikkeleita. Tutkielmani johtopäätöksissä tulin siihen tulokseen, että kauppiaan kannalta edullisinta on käyttää samanaikaisesti sekä Invoicea että perinteistä, palautusliikeiden palveluja hyödyntävää tax-free järjestelmää. Tämä mahdollistaa liikkeille mahdollisimman laajan asiakasjoukon. Suomessa usein käyvät ostosmatkailijat suosivat yleensä Invoicea täysimääräisen veronpalautuksen vuoksi. Palautusliikkeet taas veloittavat asiakkaalle maksettavasta veronpalautuksesta oman palvelumaksunsa. Suomessa harvemmin vieraileville taas palautusliikkeiden palvelut ovat edullisempia, sillä veronpalautukset saa rajalta maasta poistuttaessa, eikä tarvitse palata samaan liikkeeseen puolen vuoden sisällä. Palautusliikkeiden etuna Invoiceen nähden on myös asioinnin vaivattomuus, sillä eri liikkeissä asioivat ostosmatkailijat saavat kaikista matkalla tekemistään ostoksista arvonlisäveronpalautuksensa yhdestä paikasta sen sijaan, että kävisivät hakemassa ne joka liikkeestä erikseen.

Coarse Global Visual Localization of a Mobile Robot

Localization, which is the ability of a mobile robot to estimate its position within its environment, is a key capability for autonomous operation of any mobile robot. This thesis presents a system for indoor coarse and global localization of a mobile robot based on visual information. The system is based on image matching and uses SIFT features as natural landmarks. Features extracted from training images arestored in a database for use in localization later. During localization an image of the scene is captured using the on-board camera of the robot, features are extracted from the image and the best match is searched from the database. Feature matching is done using the k-d tree algorithm. Experimental results showed that localization accuracy increases with the number of training features used in the training database, while, on the other hand, increasing number of features tended to have a negative impact on the computational time. For some parts of the environment the error rate was relatively high due to a strong correlation of features taken from those places across the environment.

Plasmapolttoprosessin kehittäminen ja optimointi

Ydinvoimaloidenprimaarivesikierron puhdistukseen käytetään ioninvaihtohartsia. Käytönjälkeen ioninvaihtohartsi luokitellaan matalaja keskiaktiivisiin jätteisiin. Plasmakäsittelyllä käytetyn ioninvaihtohartsin tilavuutta voidaan pienentää sekä sen orgaaninen luonne poistaa. Plasmakäsittelyn tarkoituksena on hapettaa orgaaninen aines oksideiksi, jotka poistuvat prosessista savukaasuina. Epäorgaaninen aines, joka sisältää radioaktiivisen aineksen, on tarkoitus hapettaa oksideiksi ja sulfideiksi, jotka voidaan kerätä talteen tuhkana. Tässä diplomityössä käsitellään käytetyn ioninvaihtohartsin käsittelyyn suunnitellun plasmapolttoprosessin kehittämistä ja optimointia. Ioninvaihtohartsin plasmakäsittelyssä syntyvien reaktiotuotteiden selvittäminen suoritettiin tarkastelemalla ainetaseita sekä aihetta käsitteleviä tutkimuksia. Näiden perusteella parannettiin jäähdytystä, suunniteltiin jatkuvatoiminen syöttömenetelmä sekä laadittiin toimintaalueen reunaehdot laitteistolle. Koelaitteistossa 6,5 kW:n rfteho syötetään sovitinpiirin ja kuparisen induktiokelan kautta plasmaan. Plasmakaasuna on käytetty hapenja argonin seoskaasua. Plasmapolttoa on seurattu massaspektrometrilla, optisella emissiospektrometrilla, lämpösekä painemittareilla. Laskennan ja kokeiden pohjalta selvitettiin optimaalinen seossuhde plasmakaasulle, paineen ja tehon noston vaikutus hartsin polttonopeuteen sekä jatkuvatoimisen syöttömenetelmän edut panostoimiseen syöttöön. Rfgeneraattorin teho rajoitti jatkuvatoimisen polttonopeuden 130 g/h ja hetkellisen polttonopeuden 175 g/h. Radioaktiivisten aineiden pidätys oli 93,5 % cesiumin osalta. Tulosten perusteella 4 kg/h ioninvaihtohartsia polttavan laitteiston tehon lähteeksi tarvitaan 65 kW rfgeneraattori. Palamattoman hartsin ja tuhkan kulkeutuminen partikkelisuodattimille sekä reaktiotuotteena syntyvien rikinoksidien käsittely vaatii vielä jatkotutkimusta.