Time consumption analysis of the mechanized cut-to-length harvesting system

[Abstract]

Project Success through Effective Decisions: Case Studies on Project Goal Setting, Success Evaluation and Managerial Decision Making

The objective of the thesis is to structure and model the factors that contribute to and can be used in evaluating project success. The purpose of this thesis is to enhance the understanding of three research topics. The goal setting process, success evaluation and decision-making process are studied in the context of a project, business unitand its business environment. To achieve the objective three research questionsare posed. These are 1) how to set measurable project goals, 2) how to evaluateproject success and 3) how to affect project success with managerial decisions.The main theoretical contribution comes from deriving a synthesis of these research topics which have mostly been discussed apart from each other in prior research. The research strategy of the study has features from at least the constructive, nomothetical, and decision-oriented research approaches. This strategy guides the theoretical and empirical part of the study. Relevant concepts and a framework are composed on the basis of the prior research contributions within the problem area. A literature review is used to derive constructs of factors withinthe framework. They are related to project goal setting, success evaluation, and decision making. On the basis of this, the case study method is applied to complement the framework. The empirical data includes one product development program, three construction projects, as well as one organization development, hardware/software, and marketing project in their contexts. In two of the case studiesthe analytic hierarchy process is used to formulate a hierarchical model that returns a numerical evaluation of the degree of project success. It has its origin in the solution idea which in turn has its foundation in the notion of projectsuccess. The achieved results are condensed in the form of a process model thatintegrates project goal setting, success evaluation and decision making. The process of project goal setting is analysed as a part of an open system that includes a project, the business unit and its competitive environment. Four main constructs of factors are suggested. First, the project characteristics and requirements are clarified. The second and the third construct comprise the components of client/market segment attractiveness and sources of competitive advantage. Together they determine the competitive position of a business unit. Fourth, the relevant goals and the situation of a business unit are clarified to stress their contribution to the project goals. Empirical evidence is gained on the exploitation of increased knowledge and on the reaction to changes in the business environment during a project to ensure project success. The relevance of a successful project to a company or a business unit tends to increase the higher the reference level of project goals is set. However, normal performance or sometimes performance below this normal level is intentionally accepted. Success measures make project success quantifiable. There are result-oriented, process-oriented and resource-oriented success measures. The study also links result measurements to enablers that portray the key processes. The success measures can be classified into success domains determining the areas on which success is assessed. Empiricalevidence is gained on six success domains: strategy, project implementation, product, stakeholder relationships, learning situation and company functions. However, some project goals, like safety, can be assessed using success measures that belong to two success domains. For example a safety index is used for assessing occupational safety during a project, which is related to project implementation. Product safety requirements, in turn, are connected to the product characteristics and thus to the product-related success domain. Strategic success measures can be used to weave the project phases together. Empirical evidence on their static nature is gained. In order-oriented projects the project phases are oftencontractually divided into different suppliers or contractors. A project from the supplier's perspective can represent only a part of the ¿whole project¿ viewed from the client's perspective. Therefore static success measures are mostly used within the contractually agreed project scope and duration. Proof is also acquired on the dynamic use of operational success measures. They help to focus on the key issues during each project phase. Furthermore, it is shown that the original success domains and success measures, their weights and target values can change dynamically. New success measures can replace the old ones to correspond better with the emphasis of the particular project phase. This adjustment concentrates on the key decision milestones. As a conclusion, the study suggests a combination of static and dynamic success measures. Their linkage to an incentive system can make the project management proactive, enable fast feedback and enhancethe motivation of the personnel. It is argued that the sequence of effective decisions is closely linked to the dynamic control of project success. According to the used definition, effective decisions aim at adequate decision quality and decision implementation. The findings support that project managers construct and use a chain of key decision milestones to evaluate and affect success during aproject. These milestones can be seen as a part of the business processes. Different managers prioritise the key decision milestones to a varying degree. Divergent managerial perspectives, power, responsibilities and involvement during a project offer some explanation for this. Finally, the study introduces the use ofHard Gate and Soft Gate decision milestones. The managers may use the former milestones to provide decision support on result measurements and ad hoc critical conditions. In the latter milestones they may make intermediate success evaluation also on the basis of other types of success measures, like process and resource measures.

Soft Computing Methods in Metallurgy

In metallurgic plants a high quality metal production is always required. Nowadays soft computing applications are more often used for automation of manufacturing process and quality control instead of mechanical techniques. In this thesis an overview of soft computing methods presents. As an example of soft computing application, an effective model of fuzzy expert system for the automotive quality control of steel degassing process was developed. The purpose of this work is to describe the fuzzy relations as quality hypersurfaces by varying number of linguistic variables and fuzzy sets.

Uusien polyuretaanimateriaalien kehittäminen

Polyuretaanielastomeerit ovat jaksottaisia sekapolymeerejä, jotka muodostuvat vuoroittaisista joustavien ketjujen segmenteistä ja hyvin polaarisista kovista segmenteistä. Kemiallinen rakenne ja ominaisuudet riippuvat käytetyistä reaktiokomponenteista. Pehmeän segmentin muodostaa polyoli ja kovan segmentin muodostaa yleensä di-isosyanaatti ja ketjunjatkaja. Polyuretaanielastomeerien valmistus tapahtuu valamalla, jolloin reaktiokomponentit ovat nestemäisiä. Työssä tutkittiin kahta perusmateriaalia ja yhden lisäaineen vaikutusta niiden ominaisuuksiin. Erityisesti kiinnitettiin huomiota dynaamisiin ja mekaanisiin ominaisuuksiin ja verrattiin aineita keskenään. Käytettyjä karakterisointimenetelmiä olivat kontaktikulmamittaukset, DMTA-mittaukset, dynaaminen rasittaminen pyörityslaitteella, elektronimikroskopia, hydrolyysitesti, vetotesti ja kulutustesti. Tutkittujen materiaalien pääasiallinen käyttökohde on pyörä- tai telapinnoitteena. Työn aikana kehitettiin pyörityslaite, jolla voitiin tutkia pinnoitemateriaalin käyttäytymistä halutuissa rasitusolosuhteissa. Lisäaineen vaikutus dynaamisiin ominaisuuksiin oli negatiivinen tai olematon, sillä DMTA-testien perusteella lisäaine kasvatti materiaalien häviötekijää (tan d). Pyöritystestien perusteella lisäaineella ei ollut vaikutusta hystereesiin eli pinnoitemateriaalin lämpenemiseen testin aikana. Uusi tutkittu materiaali osoittautui dynaamisissa kokeissa paremmaksi kuin vanha tuotantomateriaali. Lisäaine kasvatti molempien tutkittujen aineiden pintaenergiaa kontaktikulmamittausten perusteella. Tuotantoaineen vetomurtolujuus kasvoi lisäaineen vaikutuksesta, mutta uuden aineen vetomurtolujuus pieneni. Lisäaineella oli lievä hydrolyysiltä suojaava vaikutus tutkituilla perusaineilla. Uusi tutkittu perusmateriaali sieti hydrolyysiä paremmin kuin tuotantomateriaali, koska sen valmistuksessa käytettiin polyeetteripolyolia ja tuotantomateriaalissa polyesteripolyolia.

IAS 14 - Segment Reporting; The Requirements and Implementation

The principal aim of this study is to clarify the requirements of segment reporting and compare the requirements with the actual! implementation on different business lines. The empirical part was concluded by interviewing randomly selected companies that are publicly listed on the Helsinki Exchanges. The theoretical part of the study (chapters 2 and 3) will give basic information about shifting to IAS -standards and the requirements of IAS -standards. In order to meet the principal aim, a pre-empiric research was conducted by studying the annual accounts (year 2002) of randomly selected companies that already follow the IAS -standards of reporting. The companies in the pre-empiric research consist of both domestic and foreign companies. The aim of the pre-empiric study was to give a basis for the interview process on the empiric part of the study. The study indicates that implementing segment reporting has not brought any major concerns or problems. This is due to the fact that most companies that were examined - being publicly listed companies - have traditionally had a clear division between their geographical and commercial segments, and also been obliged to give reports according to these segments. In case of changes in corporate structure, shifting on new lines of businesses or downsizing of operations, the problems in reporting according to IAS -standards, may arise. Such changes will also require changes on information systems, providing the essential information for segment reporting. According to this study, most companies choose the commercial segment as their primary segment for reporting. The pre-empiric study indicates, that most of the companies already following the IAS -standards, still have a lot of improvement to do, in order to meet all the IAS requirements.

Effects of interband and intraband impurity scattering on coherence length in the pnictide superconductors

After discovery of cuprates, a search for new high temperature superconducting families began and it led to the discovery of layered pnictide compounds with critical temperatures limited up to ∼56 K. Pnictides consist elements from Group V of Periodic Table (nitrogen, phosphorus, arsenic, antimony and bismuth). In this work coherence length h in mixed state of pnictide superconductors is calculated numerically. In calculation is taken into account interband and intraband impurity scattering in framework of quasiclassical Eilenberger theory for s± pairing symmetry. Differences between Ginzburg-Landau and Eilenberger theories is shown and the comparison with existing models is done.

Effects of interband and intraband impurity scattering on coherence length in the pnictide superconductors

After discovery of cuprates, a search for new high temperature superconducting families began and it led to the discovery of layered pnictide compounds with critical temperatures limited up to ~56 K. Pnictides consist elements from Group V of Periodic Table (nitrogen, phosphorus, arsenic, antimony and bismuth). In this work coherence length ξh in mixed state of pnictide superconductors is calculated numerically. In calculation is taken into account interband and intraband impurity scattering in framework of quasiclassical Eilenberger theory for s± pairing symmetry. Differences between Ginzburg-Landau and Eilenberger theories is shown and the comparison with existing models is done.

Speaker diarization: Segmentation and clustering of speeches

Speaker diarization is the process of sorting speeches according to the speaker. Diarization helps to search and retrieve what a certain speaker uttered in a meeting. Applications of diarization systemsextend to other domains than meetings, for example, lectures, telephone, television, and radio. Besides, diarization enhances the performance of several speech technologies such as speaker recognition, automatic transcription, and speaker tracking. Methodologies previously used in developing diarization systems are discussed. Prior results and techniques are studied and compared. Methods such as Hidden Markov Models and Gaussian Mixture Models that are used in speaker recognition and other speech technologies are also used in speaker diarization. The objective of this thesis is to develop a speaker diarization system in meeting domain. Experimental part of this work indicates that zero-crossing rate can be used effectively in breaking down the audio stream into segments, and adaptive Gaussian Models fit adequately short audio segments. Results show that 35 Gaussian Models and one second as average length of each segment are optimum values to build a diarization system for the tested data. Uniting the segments which are uttered by same speaker is done in a bottom-up clustering by a newapproach of categorizing the mixture weights.