Evaluating digital marketing content management strategies in an international company.

The purpose of this thesis is to explore a different kind of digital content management model and to propose a process in order to manage properly the content on an organization’s website. This process also defines briefly the roles and responsibilities of the different actors implicated. In order to create this process, the thesis has been divided into two parts. First, the theoretical analysis helps to find the two main different content management models, content management adaptation and content management localization model. Each of these models, have been analyzed through a SWOT model in order to identify their particularities and which of them is the best option according to particular organizational objectives. In the empirical part, this thesis has measured the organizational website performance comparing two main data. On one hand, the international website is analyzed in order to identify the results of the content management standardization. On the other hand, content management adaptation, also called content management localization model, is analyzed by looking through the key measure of the Dutch page from the same organization. The resulted output is a process model for localization as well as recommendations on how to proceed when creating a digital content management strategy. However, more research is recommended to provide more comprehensive managerial solutions.

Fatigue Analysis of Welded Cruciform Joints with Cold Laps

Työssä on tutkittu vetojännityskuormituksen alaisena olevien hitsattujen kuormaa kantamattomien X-liitosten hitsin paikallisen geometrian variaation vaikutusta väsymislujuuteen. Muuttujina olivat reunan pyöristyssäde, kylmäjuoksun suuruus ja kylkikulma. Geometristen muuttujien parametrinen riippuvuussuhde on analysoitu usealla elementtimallilla. Väsymistarkastelu on suoritettu käyttämällä lineaaris-elastista murtumismekaniikkaa (LEFM) tasovenymätilassa ja materiaalina terästä. Särönkasvun suunnan ennustamisessaon käytetty maksimipääjännityskriteeriä sekä jännitysintensiteettikertoimet on määritetty J-integraalilla. Särön ydintymisvaihetta ei ole otettu huomioon. Rakenteen on oletettu olevan hitsatussa tilassa ja jännitysheilahdus on kokonaan tehollinen. Särön kasvunopeuden ennustamiseen on käytetty Paris'n lakia. Väsymislujuustulokset on esitetty karakteristisina väsymisluokkina (FAT) ja sovitettu parametriseksi yhtälöksi. Lopuksi väsymisanalyysin ennustamia tuloksia on verrattu saatavilla oleviin väsytystestituloksiin.

Palvelusopimukset tienpidon hankinnoissa

Infrarakentamisen toimintaympäristö on muuttumassa. Aikaisemmin julkinen sektori hallitsi toimialaa, mutta markkinat ovatavautumassa. Teknologian kehittäminen siirtyy julkiselta tilaajataholta yksityisille ja osaaminen yritysten kilpailutekijänä korostuu. Julkisen sektorin tehtävänä on luoda edellytyksiä tällaiselle toiminnalle. Toimintoja tullaan Tiehallinnossa ulkoistamaan yhä enemmän. Uusissa palvelusopimusmalleissa yhdistetään tieverkon tai tuotteen kunnon hallinta, toimenpiteiden ohjelmointi sekä palvelujen hankinta. Tästä muodostuu yhtenäinen prosessi, josta palvelun tuottaja vastaa. Nykyisin käytössä olevassa hankintamallissa edellä mainitut toiminnot on hajautettu useammalle eri vastuutaholle. Tämän työn tavoitteena on tarkastella palvelusopimusmallin soveltuvuutta hankintamenettelyjen eräänä vaihtoehtona. Lähtökohtana on tehdä ajallisesti pidempiä, sisällöllisesti laajempia sopimuksia. Palvelusopimusmallia voidaan soveltaa moniin hankintoihin. Tässä työssä tarkastellaan palvelusopimusmallia päällystetyn tieverkon ylläpidon hankinnassa. Uusien toimintatapojen käyttöönotossa on tärkeää saada alan toimijat yhdessä kehittämään näitä malleja. Työssä on haastateltu alan toimijoita ja heidän mielipiteet on otettu huomioon suunniteltaessa palvelusopimuksen sisältöä. Uusi sopimusmalli motivoi innovatiivisiin ratkaisuihin. Niiden syntymistä edesauttaa yritysten verkostomainen toiminatapa ja kumppanuuden syventäminen. Jokainen yritys voi tällöin keskittyä omaan ydinosaamiseensa. Samalla toimintojen kokonaistuottavuutta voidaan parantaa. Riskien hallinta on eräs tärkeimmistä asioista palvelusopimusmallin mukaisen toiminnan onnistumiselle. Riskien tunnistaminen ja niiden jakaminen eri osapuolten kesken oikeuden mukaisesti tulee sopimusmallissa hallita. Merkittävänä riskitekijöinä nousivat tässä työssä esiin, vaikeasti hallittavat, pitkän sopimusajan tuomat uhat.

Modeling information in software languages

Ohjelmiston kehitystyökalut käyttävät infromaatiota kehittäjän tuottamasta lähdekoodista. Informaatiota hyödynnetään ohjelmistoprojektin eri vaiheissa ja eri tarkoituksissa. Moderneissa ohjelmistoprojekteissa käytetyn informaation määrä voi kasvaa erittäin suureksi. Ohjelmistotyökaluilla on omat informaatiomallinsa ja käyttömekanisminsa. Informaation määrä sekä erilliset työkaluinformaatiomallit tekevät erittäin hankalaksi rakentaa joustavaa työkaluympäristöä, erityisesti ongelma-aluekohtaiseen ohjelmiston kehitysprosessiin. Tässä työssä on analysoitu perusinformaatiometamalleja Unified Modeling language kielestä, Python ohjelmointikielestä ja C++ ohjelmointikielestä. Metainformaation taso on rajoitettu rakenteelliselle tasolle. Ajettavat rakenteet on jätetty pois. ModelBase metamalli on yhdistetty olemassa olevista analysoiduista metamalleista. Tätä metamallia voidaan käyttää tulevaisuudessa ohjelmistotyökalujen kehitykseen.

Hitsauskoneen kunnonvalvontajärjestelmän kehittäminen

Teollisuuden kasvavien laatuvaatimusten johdosta valmistava teollisuus joutuu tiukentamaan laatuvaatimuksiaan täyttääkseen asiakasvaatimukset. Laatujärjestelmät asettavat valmistajille erilaisia vaatimuksia, kuten valmistuksessa käytettävien laitteistojen huoltodokumentaatioiden tuottaminen. Standardi SFS-EN ISO 3834-2 Metallien sulahitsauksen laatuvaatimukset: Kattavat laatuvaatimukset tuo edellä mainitut vaatimukset myös hitsaustuotantoon. Ennakoivaa kunnossapitoa käytetään monilla teollisuuden aloilla, koska tuotannon yllättävät keskeytymiset halutaan ennaltaehkäistä. Käsinhitsaukseen ei ole ollut toistaiseksi työkaluja, jotka mahdollistaisivat ennakoivan kunnossapidon hitsauskoneille. Kemppi Oy kehittää hitsauksen monitorointiratkaisua, jonka yhtenä päämääränä on kunnonvalvontajärjestelmän kehittäminen hitsauslaitteistolle. Järjestelmä ottaa huomioon myös laatujärjestelmien asettamat vaatimukset hitsauskoneiden huoltodokumentaation tuottamisesta. Diplomityön tavoitteena oli tehdä vaatimusmäärittely hitsauskoneiden kunnonvalvontajärjestelmälle. Tässä diplomityössä perehdyttiin kunnossapidon ja vikaantumisen lajeihin, laatujärjestelmiin sekä hitsauslaitteistoon. Tutkimuksessa syvennyttiin hitsauskoneiden kunnossapidon ja vikaantumistapauksien kautta suunnitteilla olevan järjestelmän tarpeisiin. Haastatteluiden avulla kartoitettiin hitsauslaitteiden kunnonvalvontajärjestelmältä vaadittavia piirteitä, järjestelmälle asetettavia vaatimuksia sekä järjestelmän monitorointikohteita. Tutkimuksen pohjalta laadittuun vaatimusmäärittelyyn saatiin muodostettua toiminnalliset vaatimukset, joista muodostetaan tuotekehityksen aikana tuotteen ominaisuudet. Lisäksi vaatimusmäärittelyyn luotiin käyttäjäryhmät, käyttötapaukset sekä alustavat monitorointikohteet. Vaatimusten täyttämiseksi kunnonvalvontajärjestelmään on suunnitteilla myös laitetietokanta, johon sisällytetään hitsauslaitteille suoritettujen huoltojen ja validointien tiedot. Varsinaisen tuotekehitystyön alkaessa nyt laadittua vaatimusmäärittelyä tullaan käyttämään suuntaviivojen näyttäjänä projektissa.

Laadunhallintamallien soveltuvuus prosessiteollisuuteen

Laatu ja laadunhallinta ovat merkittävässä osassa kestävien asiakassuhteiden ja yrityksen toiminnan jatkuvan kehittämisen kanssa. Kandidaatintyön tarkoituksena on tutkia laadunhallintamallien soveltuvuutta prosessiteollisuuteen. Työn tavoitteena on esitellä kolme laadunhallintamallia ja selvittää, miltä osin nämä mallit soveltuvat prosessiteollisuuden käyttöön. Työssä on vertailtu mallien ominaisuuksia ja mietitty niiden hyviä ja huonoja puolia. Laatuun ja laadunhallintaan liittyvät käsitteet on selitetty osana työtä. Esittelemämme mallit pohjautuvat saman TQM -laatufilosofian periaatteisiin, mutta niiden käytännön sovellutuksissa on eroja esimerkiksi käyttöönoton helppouden ja painotusten osalta. Kukin sopii osaltaan joihinkin prosessiteollisuuden ominaispiirteisiin, mutta on mahdotonta suoraan sanoa, millainen malli millekin yritykselle sopii. Mallin valinta on oikeastaan täysin kiinni koko yrityksen omasta halusta sitoutua ja panostaa mallin käyttöönottoon ja käyttöön ja kehittämiseen.

Applying the principles of life cycle assessment and costing in process modeling to examine profit-making capability

Static process simulation has traditionally been used to model complex processes for various purposes. However, the use of static processsimulators for the preparation of holistic examinations aiming at improving profit-making capability requires a lot of work because the production of results requires the assessment of the applicability of detailed data which may be irrelevant to the objective. The relevant data for the total assessment gets buried byirrelevant data. Furthermore, the models do not include an examination of the maintenance or risk management, and economic examination is often an extra property added to them which can be performed with a spreadsheet program. A process model applicable to holistic economic examinations has been developed in this work. The model is based on the life cycle profit philosophy developed by Hagberg and Henriksson in 1996. The construction of the model has utilized life cycle assessment and life cycle costing methodologies with a view to developing, above all, a model which would be applicable to the economic examinations of complete wholes and which would require the need for information focusing on aspects essential to the objectives. Life cycle assessment and costing differ from each other in terms of the modeling principles, but the features of bothmethodologies can be used in the development of economic process modeling. Methods applicable to the modeling of complex processes can be examined from the viewpoint of life cycle methodologies, because they involve the collection and management of large corpuses of information and the production of information for the needs of decision-makers as well. The results of the study shows that on the basis of the principles of life cycle modeling, a process model can be created which may be used to produce holistic efficiency examinations on the profit-making capability of the production line, with fewer resources thanwith traditional methods. The calculations of the model are based to the maximum extent on the information system of the factory, which means that the accuracyof the results can be improved by developing information systems so that they can provide the best information for this kind of examinations.

Assessment of Coastal Bird Populations and Habitats on the Finnish Coast of the Baltic Sea: Implications for Monitoring and Management

Coastal birds are an integral part of coastal ecosystems, which nowadays are subject to severe environmental pressures. Effective measures for the management and conservation of seabirds and their habitats call for insight into their population processes and the factors affecting their distribution and abundance. Central to national and international management and conservation measures is the availability of accurate data and information on bird populations, as well as on environmental trends and on measures taken to solve environmental problems. In this thesis I address different aspects of the occurrence, abundance, population trends and breeding success of waterbirds breeding on the Finnish coast of the Baltic Sea, and discuss the implications of the results for seabird monitoring, management and conservation. In addition, I assess the position and prospects of coastal bird monitoring data, in the processing and dissemination of biodiversity data and information in accordance with the Convention on Biological Diversity (CBD) and other national and international commitments. I show that important factors for seabird habitat selection are island area and elevation, water depth, shore openness, and the composition of island cover habitats. Habitat preferences are species-specific, with certain similarities within species groups. The occurrence of the colonial Arctic Tern (Sterna paradisaea) is partly affected by different habitat characteristics than its abundance. Using long-term bird monitoring data, I show that eutrophication and winter severity have reduced the populations of several Finnish seabird species. A major demographic factor through which environmental changes influence bird populations is breeding success. Breeding success can function as a more rapid indicator of sublethal environmental impacts than population trends, particularly for long-lived and slowbreeding species, and should therefore be included in coastal bird monitoring schemes. Among my target species, local breeding success can be shown to affect the populations of the Mallard (Anas platyrhynchos), the Eider (Somateria mollissima) and the Goosander (Mergus merganser) after a time lag corresponding to their species-specific recruitment age. For some of the target species, the number of individuals in late summer can be used as an easier and more cost-effective indicator of breeding success than brood counts. My results highlight that the interpretation and application of habitat and population studies require solid background knowledge of the ecology of the target species. In addition, the special characteristics of coastal birds, their habitats, and coastal bird monitoring data have to be considered in the assessment of their distribution and population trends. According to the results, the relationships between the occurrence, abundance and population trends of coastal birds and environmental factors can be quantitatively assessed using multivariate modelling and model selection. Spatial data sets widely available in Finland can be utilised in the calculation of several variables that are relevant to the habitat selection of Finnish coastal species. Concerning some habitat characteristics field work is still required, due to a lack of remotely sensed data or the low resolution of readily available data in relation to the fine scale of the habitat patches in the archipelago. While long-term data sets exist for water quality and weather, the lack of data concerning for instance the food resources of birds hampers more detailed studies of environmental effects on bird populations. Intensive studies of coastal bird species in different archipelago areas should be encouraged. The provision and free delivery of high-quality coastal data concerning bird populations and their habitats would greatly increase the capability of ecological modelling, as well as the management and conservation of coastal environments and communities. International initiatives that promote open spatial data infrastructures and sharing are therefore highly regarded. To function effectively, international information networks, such as the biodiversity Clearing House Mechanism (CHM) under the CBD, need to be rooted at regional and local levels. Attention should also be paid to the processing of data for higher levels of the information hierarchy, so that data are synthesized and developed into high-quality knowledge applicable to management and conservation.

Self-Assessment Report for International Accreditation – Bachelor’s and Master’s degree programmes in Industrial Management

Self-assessment report for accreditation of the Bachelor's and Master's degree programs in Industrial Management.

MASTER DATA MANAGEMENT MATURITY AND TECHNOLOGY ASSESSMENT - From theory to practice, case Ineo Oy

After decades of mergers and acquisitions and successive technology trends such as CRM, ERP and DW, the data in enterprise systems is scattered and inconsistent. Global organizations face the challenge of addressing local uses of shared business entities, such as customer and material, and at the same time have a consistent, unique, and consolidate view of financial indicators. In addition, current enterprise systems do not accommodate the pace of organizational changes and immense efforts are required to maintain data. When it comes to systems integration, ERPs are considered “closed” and expensive. Data structures are complex and the “out-of-the-box” integration options offered are not based on industry standards. Therefore expensive and time-consuming projects are undertaken in order to have required data flowing according to business processes needs. Master Data Management (MDM) emerges as one discipline focused on ensuring long-term data consistency. Presented as a technology-enabled business discipline, it emphasizes business process and governance to model and maintain the data related to key business entities. There are immense technical and organizational challenges to accomplish the “single version of the truth” MDM mantra. Adding one central repository of master data might prove unfeasible in a few scenarios, thus an incremental approach is recommended, starting from areas most critically affected by data issues. This research aims at understanding the current literature on MDM and contrasting it with views from professionals. The data collected from interviews revealed details on the complexities of data structures and data management practices in global organizations, reinforcing the call for more in-depth research on organizational aspects of MDM. The most difficult piece of master data to manage is the “local” part, the attributes related to the sourcing and storing of materials in one particular warehouse in The Netherlands or a complex set of pricing rules for a subsidiary of a customer in Brazil. From a practical perspective, this research evaluates one MDM solution under development at a Finnish IT solution-provider. By means of applying an existing assessment method, the research attempts at providing the company with one possible tool to evaluate its product from a vendor-agnostics perspective.

Evaluating the Maturity of Data Management Practices in a Major Energy Provider Company

Data is the most important asset of a company in the information age. Other assets, such as technology, facilities or products can be copied or reverse-engineered, employees can be brought over, but data remains unique to every company. As data management topics are slowly moving from unknown unknowns to known unknowns, tools to evaluate and manage data properly are developed and refined. Many projects are in progress today to develop various maturity models for evaluating information and data management practices. These maturity models come in many shapes and sizes: from short and concise ones meant for a quick assessment, to complex ones that call for an expert assessment by experienced consultants. In this paper several of them, made not only by external inter-organizational groups and authors, but also developed internally at a Major Energy Provider Company (MEPC) are juxtaposed and thoroughly analyzed. Apart from analyzing the available maturity models related to Data Management, this paper also selects the one with the most merit and describes and analyzes using it to perform a maturity assessment in MEPC. The utility of maturity models is two-fold: descriptive and prescriptive. Besides recording the current state of Data Management practices maturity by performing the assessments, this maturity model is also used to chart the way forward. Thus, after the current situation is presented, analysis and recommendations on how to improve it based on the definitions of higher levels of maturity are given. Generally, the main trend observed was the widening of the Data Management field to include more business and “soft” areas (as opposed to technical ones) and the change of focus towards business value of data, while assuming that the underlying IT systems for managing data are “ideal”, that is, left to the purely technical disciplines to design and maintain. This trend is not only present in Data Management but in other technological areas as well, where more and more attention is given to innovative use of technology, while acknowledging that the strategic importance of IT as such is diminishing.

Assessment of purchasing maturity in spare parts supply chain

To describe the change of purchasing moving from administrative to strategic function academics have put forward maturity models which help practitioners to compare their purchasing activities to industry top performers and best practices. However, none of the models aim to distinguish the purchasing maturity from the after-sales point of view, even though after-sales activities are acknowledged as a relevant source of revenue, profit and competitive advantage in most manufacturing firms. The maturity of purchasing and supply management practices have a large impact to the overall performance of the spare parts supply chain and ultimately to the value creation and relationship building for the end customer. The research was done as a case study for a European after-sales organization which is part of a globally operating industrial firm specialized in heavy machinery. The study mapped the current state of the purchasing practices in the case organization and also distinguished the relevant areas for future development. The study was based on the purchasing maturity model developed by Schiele (2007) and investigated also how applicable is the maturity model in the spare parts supply chain context. Data for the assessment was gathered using five expert interviews inside the case organization and other parties involved in the company’s spare parts supply chain. Inventory management dimension was added to the original maturity model in order to better capture the important areas in a spare parts supply chain. The added five questions were deduced from the spare parts management literature and verified as relevant areas by the case organization’s personnel. Results indicate that largest need for development in the case organization are: better collaboration between sourcing and operative procurement functions, use of installed base information in the spare parts management, training plan development for new buyers, assessment of aligned KPI’s between the supply chain parties and better defining the role of after-sales sourcing. The purchasing maturity model used in this research worked well in H&R Leading, Controlling and Inventory Management dimensions. The assessment was more difficult to conduct in the Supplier related processes, Process integration and Organizational structure –dimensions, mainly because the assessment in these sections would for some parts require more company-wide assessment. Results indicate also that the purchasing maturity model developed by Schiele (2007) captures the relevant areas in the spare parts supply as well.

Toward a-state-of-the-art IR copyright management system: a needs assessment

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

Linguistic models for decision support

Linguistic modelling is a rather new branch of mathematics that is still undergoing rapid development. It is closely related to fuzzy set theory and fuzzy logic, but knowledge and experience from other fields of mathematics, as well as other fields of science including linguistics and behavioral sciences, is also necessary to build appropriate mathematical models. This topic has received considerable attention as it provides tools for mathematical representation of the most common means of human communication - natural language. Adding a natural language level to mathematical models can provide an interface between the mathematical representation of the modelled system and the user of the model - one that is sufficiently easy to use and understand, but yet conveys all the information necessary to avoid misinterpretations. It is, however, not a trivial task and the link between the linguistic and computational level of such models has to be established and maintained properly during the whole modelling process. In this thesis, we focus on the relationship between the linguistic and the mathematical level of decision support models. We discuss several important issues concerning the mathematical representation of meaning of linguistic expressions, their transformation into the language of mathematics and the retranslation of mathematical outputs back into natural language. In the first part of the thesis, our view of the linguistic modelling for decision support is presented and the main guidelines for building linguistic models for real-life decision support that are the basis of our modeling methodology are outlined. From the theoretical point of view, the issues of representation of meaning of linguistic terms, computations with these representations and the retranslation process back into the linguistic level (linguistic approximation) are studied in this part of the thesis. We focus on the reasonability of operations with the meanings of linguistic terms, the correspondence of the linguistic and mathematical level of the models and on proper presentation of appropriate outputs. We also discuss several issues concerning the ethical aspects of decision support - particularly the loss of meaning due to the transformation of mathematical outputs into natural language and the issue or responsibility for the final decisions. In the second part several case studies of real-life problems are presented. These provide background and necessary context and motivation for the mathematical results and models presented in this part. A linguistic decision support model for disaster management is presented here – formulated as a fuzzy linear programming problem and a heuristic solution to it is proposed. Uncertainty of outputs, expert knowledge concerning disaster response practice and the necessity of obtaining outputs that are easy to interpret (and available in very short time) are reflected in the design of the model. Saaty’s analytic hierarchy process (AHP) is considered in two case studies - first in the context of the evaluation of works of art, where a weak consistency condition is introduced and an adaptation of AHP for large matrices of preference intensities is presented. The second AHP case-study deals with the fuzzified version of AHP and its use for evaluation purposes – particularly the integration of peer-review into the evaluation of R&D outputs is considered. In the context of HR management, we present a fuzzy rule based evaluation model (academic faculty evaluation is considered) constructed to provide outputs that do not require linguistic approximation and are easily transformed into graphical information. This is achieved by designing a specific form of fuzzy inference. Finally the last case study is from the area of humanities - psychological diagnostics is considered and a linguistic fuzzy model for the interpretation of outputs of multidimensional questionnaires is suggested. The issue of the quality of data in mathematical classification models is also studied here. A modification of the receiver operating characteristics (ROC) method is presented to reflect variable quality of data instances in the validation set during classifier performance assessment. Twelve publications on which the author participated are appended as a third part of this thesis. These summarize the mathematical results and provide a closer insight into the issues of the practicalapplications that are considered in the second part of the thesis.