Tuottavuuden ja investointitehokkuuden parantaminen kunnallisteknisissä töissä

Tutkimuksen tavoitteena oli selvittää keinoja parantaa tuottavuutta ja investointitehokkuutta kunnallisteknisissä töissä. Tutkimusmenetelmäksi valittiin konstruktiivinen tutkimusmenetelmä, jossa käytännölliseen ongelmaan luodaan teoriapohjan kautta ratkaisuehdotus. Työn teoriaosuus käsittelee palveluiden tuottavuutta ja sen mittaamista. Työn tuloksena syntyi excel-työkalu, jonka avulla on mahdollista tarkastella palveluntuottajan konekannan aiheuttamia kustannuksia ja tuottoja. Työkalu laskee konekohtaiset kustannukset ja tuotot, joiden avulla palveluntuottajalle on mahdollista osoittaa aiempien investointien kannattavuus. Työkalu laskee kustannus- ja tuottoarvion myös vaihtoehtoiselle konekannalle, jossa alhaisen käyttöasteen koneita korvataan monipuolisemmalla kalustolla. Palveluntuottajan konekannan hallinta ja kustannusrakenteen tarkka määrittely ovat tärkeässä roolissa tuottavuuden ja kannattavuuden kehittämisessä. Työkalu mahdollistaa myös eri kustannuserissä tapahtuvien muutosten vaikutusten arvioinnin, mikä auttaa palveluntuottajia toiminnan pitkäjänteisessä kehittämisessä.

A Project Portfolio Tool for Forecasting Small Projects Profitability

The case company in this study is a large industrial engineering company whose business is largely based on delivering a wide-range of engineering projects. The aim of this study is to create and develop a fairly simple Excel-based tool for the sales department. The tool’s main function is to estimate and visualize the profitability of various small projects. The study also aims to find out other possible and more long-term solutions for tackling the problem in the future. The study is highly constructive and descriptive as it focuses on the development task and in the creation of a new operating model. The developed tool focuses on estimating the profitability of the small orders of the selected project portfolio currently on the bidding-phase (prospects) and will help the case company in the monthly reporting of sales figures. The tool will analyse the profitability of a certain project by calculating its fixed and variable costs, then further the gross margin and operating profit. The bidding phase of small project is a phase that has not been covered fully by the existing tools within the case company. The project portfolio tool can be taken into use immediately within the case company and it will provide fairly accurate estimate of the profitability figures of the recently sold small projects.

Review of investment strategy, portfolio management, and scorecard based portfolio selection tool for direct property investments in Finland

The lack of research of private real estate is a well-known problem. Earlier studies have mostly concentrated on the USA or the UK. Therefore, this master thesis offers more information about the performance and risk associated with private real estate investments in Nordic countries, but especially in Finland. The structure of this master thesis is divided into two independent sections based on the research questions. In first section, database analysis is performed to assess risk-return ratio of direct real estate investment for Nordic countries. Risk-return ratios are also assessed for different property sectors and economic regions. Finally, review of diversification strategies based on property sectors and economic regions is performed. However, standard deviation itself is not usually sufficient method to evaluate riskiness of private real estate. There is demand for more explicit assessment of property risk. One solution is property risk scoring. In second section risk scorecard based tool is built to make different real estate comparable in terms of risk. In order to do this, nine real estate professionals were interviewed to enhance the structure of theory-based risk scorecard and to assess weights for different risk factors.

Heat-transfer improvements in an axial-flux permanent-magnet synchronous machine

Axial-flux machines tend to have cooling difficulties since it is difficult to arrange continuous heat path between the stator stack and the frame. One important reason for this is that no shrink fitting of the stator is possible in an axial-flux machine. Using of liquid-cooled end shields does not alone solve this issue. Cooling of the rotor and the end windings may also be difficult at least in case of two-stator-single-rotor construction where air circulation in the rotor and in the end-winding areas may be difficult to arrange. If the rotor has significant losses air circulation via the rotor and behind the stator yokes should be arranged which, again, weakens the stator cooling. In this paper we study a novel way of using copper bars as extra heat transfer paths between the stator teeth and liquid cooling pools in the end shields. After this the end windings still suffer of low thermal conductivity and means for improving this by high-heat-conductance material was also studied. The design principle of each cooling system is presented in details. Thermal models based on Computational Fluid Dynamics (CFD) are used to analyse the temperature distribution in the machine. Measurement results are provided from different versions of the machine. The results show that significant improvements in the cooling can be gained by these steps.

Evaluation of Machine Learning Classifiers for Mobile Network Intrusion Detection Systems

Mobile malwares are increasing with the growing number of Mobile users. Mobile malwares can perform several operations which lead to cybersecurity threats such as, stealing financial or personal information, installing malicious applications, sending premium SMS, creating backdoors, keylogging and crypto-ransomware attacks. Knowing the fact that there are many illegitimate Applications available on the App stores, most of the mobile users remain careless about the security of their Mobile devices and become the potential victim of these threats. Previous studies have shown that not every antivirus is capable of detecting all the threats; due to the fact that Mobile malwares use advance techniques to avoid detection. A Network-based IDS at the operator side will bring an extra layer of security to the subscribers and can detect many advanced threats by analyzing their traffic patterns. Machine Learning(ML) will provide the ability to these systems to detect unknown threats for which signatures are not yet known. This research is focused on the evaluation of Machine Learning classifiers in Network-based Intrusion detection systems for Mobile Networks. In this study, different techniques of Network-based intrusion detection with their advantages, disadvantages and state of the art in Hybrid solutions are discussed. Finally, a ML based NIDS is proposed which will work as a subsystem, to Network-based IDS deployed by Mobile Operators, that can help in detecting unknown threats and reducing false positives. In this research, several ML classifiers were implemented and evaluated. This study is focused on Android-based malwares, as Android is the most popular OS among users, hence most targeted by cyber criminals. Supervised ML algorithms based classifiers were built using the dataset which contained the labeled instances of relevant features. These features were extracted from the traffic generated by samples of several malware families and benign applications. These classifiers were able to detect malicious traffic patterns with the TPR upto 99.6% during Cross-validation test. Also, several experiments were conducted to detect unknown malware traffic and to detect false positives. These classifiers were able to detect unknown threats with the Accuracy of 97.5%. These classifiers could be integrated with current NIDS', which use signatures, statistical or knowledge-based techniques to detect malicious traffic. Technique to integrate the output from ML classifier with traditional NIDS is discussed and proposed for future work.

Design and implementation of machine vision system for the mobile assembly robot

The review of intelligent machines shows that the demand for new ways of helping people in perception of the real world is becoming higher and higher every year. This thesis provides information about design and implementation of machine vision for mobile assembly robot. The work has been done as a part of LUT project in Laboratory of Intelligent Machines. The aim of this work is to create a working vision system. The qualitative and quantitative research were done to complete this task. In the first part, the author presents the theoretical background of such things as digital camera work principles, wireless transmission basics, creation of live stream, methods used for pattern recognition. Formulas, dependencies and previous research related to the topic are shown. In the second part, the equipment used for the project is described. There is information about the brands, models, capabilities and also requirements needed for implementation. Although, the author gives a description of LabVIEW software, its add-ons and OpenCV which are used in the project. Furthermore, one can find results in further section of considered thesis. They mainly represented by screenshots from cameras, working station and photos of the system. The key result of this thesis is vision system created for the needs of mobile assembly robot. Therefore, it is possible to see graphically what was done on examples. Future research in this field includes optimization of the pattern recognition algorithm. This will give less response time for recognizing objects. Presented by author system can be used also for further activities which include artificial intelligence usage.

Automated UI testing. WBCT, a computer-automated user test environment tool.

Today, the user experience and usability in software application are becoming a major design issue due to the adaptation of many processes using new technologies. Therefore, the study of the user experience and usability might be included in every software development project and, thus, they should be tested to get traceable results. As a result of different testing methods to evaluate the concepts, a non-expert on the topic might have doubts on which option he/she should opt for and how to interpret the outcomes of the process. This work aims to create a process to ease the whole testing methodology based on the process created by Seffah et al. and a supporting software tool to follow the procedure of these testing methods for the user experience and usability.

Lääketehtaan valmistusosaston toimitusketjun arvovirtamallintaminen

Tässä diplomityössä laadittiin prosessikuvaus lääketehtaan valmistusosaston toimitusketjusta. Työn tavoitteena oli kuvata toimitusketjun eri prosessit nykytilassaan ja luoda samalla työkalu arvovirtakarttojen luomiseen lean-tuotantomallin mukaisesti. Prosessikaaviot toteutettiin soveltaen IDEF0-prosessienmallinnusmenetelmää. Kaavioissa kuvattiin järjestelmällisesti eri organisaatioiden prosessit sekä niihin liittyvät informaatio- ja materiaalivirrat. Esimerkki arvovirran tunnistamisesta ja arvovirtakarttojen luomisesta tehtiin yhdestä prosessivaiheesta, pakkausprosessista, josta myös määritettiin lean-tuotantomallin mukaisesti sen arvoa tuottavat, arvoa tuottamattomat, mutta välttämättömät ja arvoa tuottamattomat työvaiheet eli hukka. Arvovirran tunnistus suoritettiin työntutkimuksen avulla. Pakkausprosessin arvovirran määrittämisessä havaittiin, että tuotevaihdon aikana työntekijöiden käyttämästä työajasta arvoa tuottavia työvaiheita oli 3 %, arvoa lisäämättömiä työvaiheita, mutta välttämättömiä oli 53 % ja arvoa lisäämätöntä eli hukkaa oli 44,0 %. Pakkaustyön aikana työntekijöiden työajasta arvoa lisääviksi työvaiheiksi saatiin 4 %. Arvoa lisäämättömiä työvaiheita, mutta välttämättömiä oli 38 % ja arvoa lisäämätöntä eli hukkaa oli 58 %. Koneajasta tuotteen arvoa lisäävää oli koneesta riippuen 50–76 % ja arvoa lisäämätöntä 24–50 %. Työn lopuksi esitettiin jatkotoimenpiteitä hukan eliminoimiseksi.

Factors Affecting Runnability of Press Forming Equipment

The growth of the food packaging industry has raised more interest in bio-based fibre packing. The use of petroleum based packages is unfriendly to the environment while bio-based is a sustainable option for food packing. In this Master Thesis the aim was to discover how the press forming machineries runnability is affected by parameters of the press and how it also affects formability of paperboard trays. Familiarisation of the working operation parameters was done with the KAMA ST 75 flat-bed die cutting machine and the VP3-70 mould press. Some small test runs of moulding trays where done to get acquainted to the adjustment parameters of the machines. Literature study was done on how paperboards physical properties react to the forces applied during press forming. The study of what kind of defects to the paperboard tray might occur during forming process and the causes for these defects. Also how the parameters of the press forming machine affects formability of the tray. Maintenance procedures was done to the press forming machine to enhance the reliably of production process. Tool alignment measurement was done to determine proper alignment. Laboratory test of the physical properties of the test material was done to find any connection to how the test material performs in press forming. An evaluation criterion was made to evaluate the dimensions and defects of the tray. From the test result a conclusion can be drawn on how the parameters of the press forming process affect the paperboard material. Based on the results the adjustment the parameters of moulding machines to the mechanical properties of paperboard it is possible to produce high quality fibre passed trays for the food packaging industry.

Design and Material Selection of High-Speed Rotating Electrical Machines

The increasing emphasis on energy efficiency is starting to yield results in the reduction in greenhouse gas emissions; however, the effort is still far from sufficient. Therefore, new technical solutions that will enhance the efficiency of power generation systems are required to maintain the sustainable growth rate, without spoiling the environment. A reduction in greenhouse gas emissions is only possible with new low-carbon technologies, which enable high efficiencies. The role of the rotating electrical machine development is significant in the reduction of global emissions. A high proportion of the produced and consumed electrical energy is related to electrical machines. One of the technical solutions that enables high system efficiency on both the energy production and consumption sides is high-speed electrical machines. This type of electrical machines has a high system overall efficiency, a small footprint, and a high power density compared with conventional machines. Therefore, high-speed electrical machines are favoured by the manufacturers producing, for example, microturbines, compressors, gas compression applications, and air blowers. High-speed machine technology is challenging from the design point of view, and a lot of research is in progress both in academia and industry regarding the solution development. The solid technical basis is of importance in order to make an impact in the industry considering the climate change. This work describes the multidisciplinary design principles and material development in high-speed electrical machines. First, high-speed permanent magnet synchronous machines with six slots, two poles, and tooth-coil windings are discussed in this doctoral dissertation. These machines have unique features, which help in solving rotordynamic problems and reducing the manufacturing costs. Second, the materials for the high-speed machines are discussed in this work. The materials are among the key limiting factors in electrical machines, and to overcome this limit, an in-depth analysis of the material properties and behavior is required. Moreover, high-speed machines are sometimes operating in a harsh environment because they need to be as close as possible to the rotating tool and fully exploit their advantages. This sets extra requirements for the materials applied.