Pakkaus- ja graafisten kartonkien markkinakartoitus Suomessa. Case: Stora Enso Oyj:n Packaging Boards -tulosyksikön Imatran tehtaiden Kotimaanmyynti

Tutkielman aiheena on kartoittaa pakkaus- ja graafisten kartonkien markkinoita Suo-messa. Tutkimuksen teoriaosassa esitetään kilpailija-analyysi, asiakasanalyysi ja substituutit, joiden avulla yrityksen asemaa markkinoilla voidaan arvioida. Tutkimuksen empiirisessä osassa luotua teoriaa on sovellettu case-yrityksen markkinoiden kartoittamiseen. Tutkimusta varten on kerätty primääritietoa markkinatutkimuksen avulla, sekä hyödynnetty jo olemassa olevaa sekundääritietoa. Saatua materiaalia on arvioitu kvalitatiivisesti. Tutkimuksen tulokseksi saatiin kartoitus Suomen pakkaus- ja graafisten kartonkien markkinarakenteesta, kilpailijoista, asiakkaista ja substituuteista yleisellä tasolla. Samoin saatiin tulokseksi Stora Enso Packaging Boards -tulosyksikön Imatran tehtaiden Kotimaanmyynnin nykyisten ja potentiaalisten asiakkaiden ostokäyttäytymiseen vaikuttavia tekijöitä, sekä asiakkaiden mielipiteitä Kotimaanmyynnin tuotteista ja toiminnasta.

Tiedon hallinta varastonhallintajärjestelmän hankinnassa

Diplomityössä toteutettiin varastonhallintajärjestelmän hankinta prosessoimalla tietoa hallitusti varastonhallinnan kehittämiseksi. Kvalitatiivinen tapaustutkimus tehtiin tietojohtamisen näkökulmasta käyttäjälähtöisen C-CEI –menetelmän avulla haastattelemalla ja havainnoimalla tapausyritystä. Haastatteluja tehtiin 10 kertaa. Tutkimuksessa kartoitettiin ja kilpailutettiin kotimaiset järjestelmätoimittajat, joita löydettiin 15. Näistä toimittajista 6 vastasi vaatimuksia ja teki tarjouksen. Tutkimuksen lopuksi tehtiin järjestelmän hankintaehdotus. Tutkimuksen teoreettinen viitekehys koostui tietojohtamisesta, varastonhallinnasta ja ohjelmistotuotannosta. Tutkimuksessa pääkysymyksenä esitettiin miten tietojohtamisen avulla voidaan tukea varastonhallintajärjestelmän hankintaa. Tutkimuksessa havaittiin, että tietojärjestelmän hankinta varastonhallinnan osalta on moniulotteinen liiketoiminnan kehittämistehtävä. Tietojärjestelmähankinta tulisi siten nähdä liiketoimintaa eteenpäin vievänä mahdollisuutena. Lisäksi loppukäyttäjän vaatimusten kartoittamiseen tulisi sitoutua huolella ja suhtautua kriittisesti eri järjestelmävaihtoehtoihin. Vaatimusmäärittelyn asettaminen ja vaatimusten priorisoiminen ovat haasteellisia tehtäviä. Tiedon hallinnan aikana saatiin selville, että loppukäyttäjän vaatimusten mukainen tarjouspyyntö edesauttaa ensinnäkin tarjousten tekemistä mutta myös niiden prosessointia ja analysointia. Vain oikealla tiedolla ja sen yhteyksillä on merkitystä. Tutkimuksen perusteella tietojärjestelmän hankinta suositellaan tehtäväksi hallitsemalla tietoa systemaattisesti erityisesti sen alkuvaiheen aikana. Tietojohtaminen virtaviivaistaa hankkeen etenemistä ja aikataulutusta, vähentää loppukäyttäjän kustannuksia tehokkaalla kilpailutusmenettelyllä, edistää kilpailukykyä ja luo hyvän lähtökohdan koko tietojärjestelmän hankinnan läpiviemiselle ja yhteistyö-suhteen rakentumiselle kauppakumppaneiden välille.

State of Logistics and Operations Management in Finnish and Swedish Companies – Survey Research Findings

In this research we are examining what is the status of logistics and operations management in Finnish and Swedish companies. Empirical data is based on the web based questionnaire, which was completed in the end of 2007 and early 2008. Our examination consists of roughly 30 answers from largest manufacturing (highest representation in our sample), trade and logistics/distribution companies. Generally it could be argued that these companies operate in complex environment, where number of products, raw materials/components and suppliers is high. However, usually companies rely on small amount of suppliers per raw material/component (highest frequency is 2), and this was especially the case among Swedish companies, and among those companies, which favoured overseas sourcing. Sample consisted of companies which mostly are operating in an international environment, and are quite often multinationals. Our survey findings reveal that companies in general have taken logistics and information technology as part of their strategy process; utilization of performance measures as well as system implementations have followed the strategy decisions. In the transportation mode side we identify that road transports dominate all transport flow classes (inbound, internal and outbound), followed by sea and air. Surprisingly small amount of companies use railways, but in general we could argue that Swedish companies prefer this mode over Finnish counterparts. With respect of operations outsourcing, we found that more traditional areas of logistics outsourcing are driving factors in company's performance measurement priority. In contrary to previous research, our results indicate that the scope of outsourcing is not that wide in logistics/operations management area, and companies are not planning to outsource more in the near future. Some support is found for more international operations and increased outsourcing activity. From the increased time pressure of companies, we find evidence that local as well as overseas customers expect deliveries within days or weeks, but suppliers usually supply within weeks or months. So, basically this leads into considerable inventory holding. Interestingly local and overseas sourcing strategy does not have that great influence on lead time performance of these particular sourcing areas - local strategy is anyway considerably better in responding on market changes due to shorter supply lead times. In the end of our research work we have completed correlation analysis concerning items asked with Likert scale. Our analysis shows that seeing logistics more like a process rather than function, applying time based management, favouring partnerships and measuring logistics within different performance dimensions results on preferred features and performance found in logistics literature.

Survey of transportation of liquid bulk chemicals in the Baltic Sea

This study is made as a part of the Chembaltic (Risks of Maritime Transportation of Chemicals in Baltic Sea) project which gathers information on the chemicals transported in the Baltic Sea. The purpose of this study is to provide an overview of handling volumes of liquid bulk chemicals (including liquefied gases) in the Baltic Sea ports and to find out what the most transported liquid bulk chemicals in the Baltic Sea are. Oil and oil products are also viewed in this study but only in a general level. Oils and oil products may also include chemical-related substances (e.g. certain bio-fuels which belong to MARPOL annex II category) in some cargo statistics. Chemicals in packaged form are excluded from the study. Most of the facts about the transport volumes of chemicals presented in this study are based on secondary written sources of Scandinavian, Russian, Baltic and international origin. Furthermore, statistical sources, academic journals, periodicals, newspapers and in later years also different homepages on the Internet have been used as sources of information. Chemical handling volumes in Finnish ports were examined in more detail by using a nationwide vessel traffic system called PortNet. Many previous studies have shown that the Baltic Sea ports are annually handling more than 11 million tonnes of liquid chemicals transported in bulk. Based on this study, it appears that the number may be even higher. The liquid bulk chemicals account for approximately 4 % of the total amount of liquid bulk cargoes handled in the Baltic Sea ports. Most of the liquid bulk chemicals are handled in Finnish and Swedish ports and their proportion of all liquid chemicals handled in the Baltic Sea is altogether over 50 %. The most handled chemicals in the Baltic Sea ports are methanol, sodium hydroxide solution, ammonia, sulphuric and phosphoric acid, pentanes, aromatic free solvents, xylenes, methyl tert-butyl ether (MTBE) and ethanol and ethanol solutions. All of these chemicals are handled at least hundred thousand tonnes or some of them even over 1 million tonnes per year, but since chemical-specific data from all the Baltic Sea countries is not available, the exact tonnages could not be calculated in this study. In addition to these above-mentioned chemicals, there are also other high volume chemicals handled in the Baltic Sea ports (e.g. ethylene, propane and butane) but exact tonnes are missing. Furthermore, high amounts of liquid fertilisers, such as solution of urea and ammonium nitrate in water, are transported in the Baltic Sea. The results of the study can be considered indicative. Updated information about transported chemicals in the Baltic Sea is the first step in the risk assessment of the chemicals. The chemical-specific transportation data help to target hazard or e.g. grounding/collision risk evaluations to chemicals that are handled most or have significant environmental hazard potential. Data gathered in this study will be used as background information in later stages of the Chembaltic project when the risks of the chemicals transported in the Baltic Sea are assessed to highlight the chemicals that require special attention from an environmental point of view in potential marine accident situations in the Baltic Sea area.

3D Mesh Simplification. A survey of algorithms and CAD model simplification tests

Simplification of highly detailed CAD models is an important step when CAD models are visualized or by other means utilized in augmented reality applications. Without simplification, CAD models may cause severe processing and storage is- sues especially in mobile devices. In addition, simplified models may have other advantages like better visual clarity or improved reliability when used for visual pose tracking. The geometry of CAD models is invariably presented in form of a 3D mesh. In this paper, we survey mesh simplification algorithms in general and focus especially to algorithms that can be used to simplify CAD models. We test some commonly known algorithms with real world CAD data and characterize some new CAD related simplification algorithms that have not been surveyed in previous mesh simplification reviews.