93 resultados para Fuzzy Front-End
Resumo:
Yritysten sisäiset prosessit ovat usein pysyneet samanlaisina jo vuosia, ellei vuosikymmeniä. Tulevaisuuden haasteet löytyvät mitä suurimmassa määrin yritysten omista, monessa tapauksessa vielä tunnistamattomista prosesseista. Näiden haasteiden pohjalta, tämän diplomityön perusajatuksena on prosessijohtaminen. Diplomityön tutkimusongelma on laippatehtaan vaihteleva ja usein liian alhainen viikoittainen toimitusvarmuus, pitkät tilaus-toimitusketjun läpimenoajat ja alihankintalaippojen maahantuonnin vaikutus tehtaan toimitusvarmuuteen. Työn tarkoituksena on tutkia, kuvata ja analysoida tehtaan tuotannonohjauksen ja prosessien nykytilanne. Kirjallisuustutkimuksen ja analyysien pohjalta tavoitteena on tehdä ja toteuttaa erilaisia kehitysvaihtoehtoja toimitusvarmuuden, läpimenoaikojen ja tuotannon seurannan kehittämiseksi. Työssä analysoitiin Ferral Components Oy:n tuotannon nykytilaa, joka on perinteisesti ollut standardituotteiden varasto-ohjattua toimintaa. Analyysin perustietoina käytettiin yrityksen tuotannonohjausjärjestelmästä saatavia tilaus-toimitustietoja pääosin vuosilta 2003 ja 2004, joiltakin osin myös vuoden 2005 tietoja. ABC-analyysin tuloksena saatiin selville yrityksen tuotteiston rakenne ja sen pohjalta päätuoteryhmien tilaus-toimitusketjut. Päätuoteryhmien tilaus-toimitusketjujen selvittämisen jälkeen voitiin analysoida niiden nykytilanne. Nykytila-analyysin tulokset osoittivat, että tilaustoimitusketjut eivät ole suorituskykyisiä käytettyjen menetelmien ja mittareiden valossa ja kehitystarvetta on olemassa. Nykytila-analyysin, kirjallisuustutkimuksen ja projektikokousten avulla löydettiin kehityskohteita prosessien luomiseksi, sekä niiden kehittämiseksi. Pääasiallinen kehityskohde löydettiin analyysin pohjalta määritettyjen tilaus-toimitusketjujen eriyttämisestä omiksi ydinprosesseikseen. Ydinprosessit kuvattiin etulehtien, prosessikaavioiden ja tekstisivujen avulla. Lisäksi ydinprosesseille hahmoteltiin uusi prosessien mukainen tuotannon layout ja määriteltiin prosessien seurantaan soveltuvat mittarit. Lopuksi listattiin ydinprosesseille nykytila-analyysin pohjalta havaittuja kehitysideoita ja niiden mahdollisia positiivisia vaikutuksia sekä tehtiin taulukkolaskentaohjelmalla taulukko varasto-ohjattavien tuotteiden hälytysrajojen määrittämiseksi.
Resumo:
Turun seudulla kuuden kunnan jätevesien käsittely keskitetään Kakolanmäen kallion sisälle rakennettuun jätevedenpuhdistamoon, joka otetaan käyttöön vuoden 2008 lopulla. Kakolanmäen jätevedenpuhdistamolla on varauduttu tulevaisuudessa kiristyviin lupaehtoihin sekä mahdollisiin puhdistetun jäteveden hygieenistä laatua koskeviin lisämääräyksiin jättämällä tilavaraus puhdistetun jäteveden desinfioimiselle ultraviolettivalolla. Diplomityössä on selvitetty vuoden kestäneessä tutkimusjaksossa 1.9.2006- 31.8.2007 Turun kaupungin keskuspuhdistamolta mereen johdetun puhdistetun jäteveden ja esiselkeytetyn ohitusveden hygieenisen laadun vaihtelua. Jäteveden desinfiointitarvetta on arvioitu tarkastelemalla jätevedenpuhdistamon hygieenistä puhdistustulosta ja jätevesien vaikutusta purkuvesistön hygieeniseen tilaan. Tutkimuksen perusteella virtaama ei vaikuttanut merkittävästi jäteveden ulosteperäisten bakteerien määriin. Sen sijaan jäteveden bakteeripitoisuudet laskivat alhaisissa lämpötiloissa. Lämpötilan vaikutus näkyi selkeämmin esiselkeytetyssä kuin puhdistetussa jätevedessä eli bakteerien poistumiseen aktiivilietevaiheen aikana vaikuttavat muut tekijät. Mitä tehokkaammin aktiivilietevaihe toimi, sitä tehokkaammin myös bakteereja poistui. Taudinaiheuttajabakteerit selvisivät puhdistusprosessista paremmin viileän kauden aikana. Puhdistetun jäteveden hygieeninen laatu ei täyttänyt uimaveden tai kasteluveden laatuvaatimuksia, joten desinfiointitarve olisi perustelua. Jätevesien vaikutus Turun edustan merialueen hygieeniseen tilaan näkyi ajoittain korkeina bakteeripitoisuuksina purkupaikan lähistöllä. Vielä ei ole suoraa näyttöä siitä aiheuttavatko jätevedet purkupaikan lähistön uimarannoilla terveydellisiä riskejä. Jäteveden UV-desinfiointi kannattava toteuttaa vain jos hygieeninen puhdistusvelvoite määrätään. UV-desinfioinnin mitoituksessa Kakolanmäen jätevedenpuhdistamolla tulee ottaa huomioon suurin sallittu hydraulinen painehäviö. Mitoitus voidaan tehdä puhdistamon käyttöönoton jälkeen kun tarvitut prosessimittaustiedot ovat saatavilla.
Resumo:
Soitinnus: Urut.
Resumo:
Fuzzy subsets and fuzzy subgroups are basic concepts in fuzzy mathematics. We shall concentrate on fuzzy subgroups dealing with some of their algebraic, topological and complex analytical properties. Explorations are theoretical belonging to pure mathematics. One of our ideas is to show how widely fuzzy subgroups can be used in mathematics, which brings out the wealth of this concept. In complex analysis we focus on Möbius transformations, combining them with fuzzy subgroups in the algebraic and topological sense. We also survey MV spaces with or without a link to fuzzy subgroups. Spectral space is known in MV algebra. We are interested in its topological properties in MV-semilinear space. Later on, we shall study MV algebras in connection with Riemann surfaces. In fact, the Riemann surface as a concept belongs to complex analysis. On the other hand, Möbius transformations form a part of the theory of Riemann surfaces. In general, this work gives a good understanding how it is possible to fit together different fields of mathematics.
Resumo:
Energy efficiency and saving energy are the main question marks when thinking of reducing carbon dioxide emissions or cutting costs. The objective of thesis is to evaluate policy instruments concerning end-use energy efficiency of heavy industry in European Union. These policy instruments may be divided in various ways, but in this thesis the division is to administrative, financial, informative and voluntary instruments. Administrative instruments introduced in this thesis are Directive on Integrated Pollution Prevention and Control, Directive on Energy End-use Efficiency and Energy Services, and Climate and Energy Package. Financial means include energy and emission taxation, EU Emission Trading Scheme and diverse support systems. Informative instruments consist of horizontal BAT Reference Document for Energy Efficiency, as well as substantial EU documents including Green Paper on Energy Efficiency, Action Plan for Energy Efficiency and An Energy Policy for Europe. And finally, voluntary instruments include environmental managements systems like ISO 14001 and EMAS, energy auditing and benchmarking. The efficiency of different policy instruments vary quite a lot. Informative instruments lack the commitment from industry and are thus almost ineffective, contrary to EU Emission Trading Scheme, which is said to be the solution to climate problems. The efficiency of administrative means can be placed between those mentioned and voluntary instruments are still quite fresh to be examined fruitfully. However, each instrument has their potential and challenges. Cases from corporate world strengthen the results from theoretical part. Cases were written mainly on the basis of interviews. The interviewees praised the energy efficiency contract of Finnish industry, but the EU ETS takes the leading role of policy instruments. However, for industry the reductions do not come easily.
Resumo:
Today’s business world demands more and more internal and external integration and transparency among companies at all fields. Integrated ERP (enterprise resource planning) systems offer a possibility to improve business practices and procedures by providing a unified view on the business including all functions and departments. Due to the obvious benefits, the popularity of integrated ERP systems keeps growing. The implementation of ERP systems has however proven risky. The implementation projects tend to be long, extensive, and costly – and often they end up in a failure. Due to the significant task and role changes ERP implementation brings to almost everybody in the company, training has been identified as one of the most critical success factors of an ERP implementation. To ensure that the training is conducted in the most effective and successful manner, the training outcomes should be evaluated. So far, training evaluation has however gained only limited attention at most companies investing in different training programs. Uponor corporation has initiated a large ERP implementation and process harmonization program in 2004. Thousands of end-users have been trained during this project so far, and the work still continues until the project is completed in 2010. In this thesis, the evaluation of end-user training in Uponor’s ERP program is brought further from the current state of performing the basic participant satisfaction survey in the end of each class. The results show that in order to reach reliable training effectiveness evaluation results, not only the reaction towards training but also transfer of skills and attitudes and the final results of the training program should be evaluated.
Resumo:
Increasing usage of Web Services has been result of efforts to automate Web Services discovery and interoperability. The Semantic Web Service descriptions create basis for automatic Web Service information management tasks such as discovery and interoperability. The discussion of opportunities enabled by service descriptions have arisen in recent years. The end user has been considered only as a consumer of services and information sharing occurred from one service provider to public in service distribution. The social networking has changed the nature of services. The end user cannot be seen anymore only as service consumer, because by enabling semantically rich environment and right tools, the end user will be in the future the producer of services. This study investigates the ways to provide for end users the empowerment to create service descriptions on mobile device. Special focus is given to the changed role of the end user in service creation. In addition, the Web Services technologies are presented as well as different Semantic Web Service description approaches are compared. The main focus in the study is to investigate tools and techniques to enable service description creation and semantic information management on mobile device.
Resumo:
In recent years, the network vulnerability to natural hazards has been noticed. Moreover, operating on the limits of the network transmission capabilities have resulted in major outages during the past decade. One of the reasons for operating on these limits is that the network has become outdated. Therefore, new technical solutions are studied that could provide more reliable and more energy efficient power distributionand also a better profitability for the network owner. It is the development and price of power electronics that have made the DC distribution an attractive alternative again. In this doctoral thesis, one type of a low-voltage DC distribution system is investigated. Morespecifically, it is studied which current technological solutions, used at the customer-end, could provide better power quality for the customer when compared with the current system. To study the effect of a DC network on the customer-end power quality, a bipolar DC network model is derived. The model can also be used to identify the supply parameters when the V/kW ratio is approximately known. Although the model provides knowledge of the average behavior, it is shown that the instantaneous DC voltage ripple should be limited. The guidelines to choose an appropriate capacitance value for the capacitor located at the input DC terminals of the customer-end are given. Also the structure of the customer-end is considered. A comparison between the most common solutions is made based on their cost, energy efficiency, and reliability. In the comparison, special attention is paid to the passive filtering solutions since the filter is considered a crucial element when the lifetime expenses are determined. It is found out that the filter topology most commonly used today, namely the LC filter, does not provide economical advantage over the hybrid filter structure. Finally, some of the typical control system solutions are introduced and their shortcomings are presented. As a solution to the customer-end voltage regulation problem, an observer-based control scheme is proposed. It is shown how different control system structures affect the performance. The performance meeting the requirements is achieved by using only one output measurement, when operating in a rigid network. Similar performance can be achieved in a weak grid by DC voltage measurement. An additional improvement can be achieved when an adaptive gain scheduling-based control is introduced. As a conclusion, the final power quality is determined by a sum of various factors, and the thesis provides the guidelines for designing the system that improves the power quality experienced by the customer.
Resumo:
Avhandlingen behandlar temat territoriell autonomi ur ett globalt perspektiv. Syftet är dels att kartlägga de territoriella autonomierna i världen och dels att visa hur en ny metod som fuzzy-set kan användas inom ämnesområdet jämförande politik. Forskningsproblemet är att försöka finna de bakgrundsfaktorer som förklarar uppkomsten av territoriell autonomi som sådant. Territoriella autonomier ses som särlösningar inom stater. Dessa regioner har erhållit en specialställning i förhållande till andra regioner inom respektive stat och även i förhållande till centralmakten i övrigt. Regionerna kan därför ses som undantag inom det enhetliga federala, regionala eller decentraliserade systemet inom en viss stat ifråga. En kartläggning visar att det finns 65 specialregioner fördelade på 25 stater i världen. De flesta av dessa utgörs av öar. Resultaten visar att det finns två vägar vilka leder till territoriell autonomi i allmänhet. Den ena vägen är en kombination av etnisk särprägel och liten befolkningsmängd, medan den andra vägen utgörs av kombinationen av historiska orsaker och geografiskt avstånd. Båda vägar är lika giltiga och förutsättningen är en demokratisk miljö.
Resumo:
In this work a fuzzy linear system is used to solve Leontief input-output model with fuzzy entries. For solving this model, we assume that the consumption matrix from di erent sectors of the economy and demand are known. These assumptions heavily depend on the information obtained from the industries. Hence uncertainties are involved in this information. The aim of this work is to model these uncertainties and to address them by fuzzy entries such as fuzzy numbers and LR-type fuzzy numbers (triangular and trapezoidal). Fuzzy linear system has been developed using fuzzy data and it is solved using Gauss-Seidel algorithm. Numerical examples show the e ciency of this algorithm. The famous example from Prof. Leontief, where he solved the production levels for U.S. economy in 1958, is also further analyzed.
Resumo:
Since its introduction, fuzzy set theory has become a useful tool in the mathematical modelling of problems in Operations Research and many other fields. The number of applications is growing continuously. In this thesis we investigate a special type of fuzzy set, namely fuzzy numbers. Fuzzy numbers (which will be considered in the thesis as possibility distributions) have been widely used in quantitative analysis in recent decades. In this work two measures of interactivity are defined for fuzzy numbers, the possibilistic correlation and correlation ratio. We focus on both the theoretical and practical applications of these new indices. The approach is based on the level-sets of the fuzzy numbers and on the concept of the joint distribution of marginal possibility distributions. The measures possess similar properties to the corresponding probabilistic correlation and correlation ratio. The connections to real life decision making problems are emphasized focusing on the financial applications. We extend the definitions of possibilistic mean value, variance, covariance and correlation to quasi fuzzy numbers and prove necessary and sufficient conditions for the finiteness of possibilistic mean value and variance. The connection between the concepts of probabilistic and possibilistic correlation is investigated using an exponential distribution. The use of fuzzy numbers in practical applications is demonstrated by the Fuzzy Pay-Off method. This model for real option valuation is based on findings from earlier real option valuation models. We illustrate the use of number of different types of fuzzy numbers and mean value concepts with the method and provide a real life application.
Resumo:
The wars the Western armies are involved with today are different from those that were fought in the end of 20th century. To explain this change, the Western military thinkers have come up with various different types of definitions of warfare over the last 30 years, each describing the tendencies involved in the conflicts of the time. The changing nature of conflicts surfaced a new term – hybrid warfare. The term was to describe and explain the multi-modality and complexity of modern day conflict. This thesis seeks the answer for the question: what is the development of thought behind hybrid warfare? In this thesis the Vietnam War (1965-1975) is used as an example of compound warfare focusing on the American involvement in the war. The Second Lebanon War (2006) serves as an example of hybrid warfare. Both case studies include an irregular opposing force, namely National Liberation Front in Vietnam War and Hezbollah in the Second Lebanon War. These two case studies are compared with the term full spectrum operations introduced in the current U.S. Department of Army Field Manual No. 3-0 Operations to see the differences and similarities of each term. The perspective of this thesis is the American point of view. This thesis concludes that hybrid warfare, compound warfare and full spectrum operations are very similar. The first two terms are included in the last one. Although hybrid warfare is not officially defined, it will most likely remain to be used in the discussion in the future, since hybrid wars and hybrid threats are officially accepted terms.
Resumo:
In this thesis, a classi cation problem in predicting credit worthiness of a customer is tackled. This is done by proposing a reliable classi cation procedure on a given data set. The aim of this thesis is to design a model that gives the best classi cation accuracy to e ectively predict bankruptcy. FRPCA techniques proposed by Yang and Wang have been preferred since they are tolerant to certain type of noise in the data. These include FRPCA1, FRPCA2 and FRPCA3 from which the best method is chosen. Two di erent approaches are used at the classi cation stage: Similarity classi er and FKNN classi er. Algorithms are tested with Australian credit card screening data set. Results obtained indicate a mean classi cation accuracy of 83.22% using FRPCA1 with similarity classi- er. The FKNN approach yields a mean classi cation accuracy of 85.93% when used with FRPCA2, making it a better method for the suitable choices of the number of nearest neighbors and fuzziness parameters. Details on the calibration of the fuzziness parameter and other parameters associated with the similarity classi er are discussed.
Resumo:
In this study, feature selection in classification based problems is highlighted. The role of feature selection methods is to select important features by discarding redundant and irrelevant features in the data set, we investigated this case by using fuzzy entropy measures. We developed fuzzy entropy based feature selection method using Yu's similarity and test this using similarity classifier. As the similarity classifier we used Yu's similarity, we tested our similarity on the real world data set which is dermatological data set. By performing feature selection based on fuzzy entropy measures before classification on our data set the empirical results were very promising, the highest classification accuracy of 98.83% was achieved when testing our similarity measure to the data set. The achieved results were then compared with some other results previously obtained using different similarity classifiers, the obtained results show better accuracy than the one achieved before. The used methods helped to reduce the dimensionality of the used data set, to speed up the computation time of a learning algorithm and therefore have simplified the classification task