Complicações locais após a injeção de silicone líquido industrial: série de casos

OBJETIVO: analisar uma série de casos de pacientes submetidos à injeção de silicone líquido industrial de maneira clandestina e por pessoas não habilitadas. MÉTODOS: análise retrospectiva de prontuários de pacientes atendidos no período de setembro de 2003 a dezembro de 2010. Foram avaliados: sexo, idade, local e volume de silicone injetado, tempo decorrido entre a aplicação e as manifestações clínicas, complicações, tratamento e evolução. Definiu-se como precoce as manifestações ocorridas até 30 dias da injeção e manifestações tardias após este período. RESULTADOS: Foram atendidos 12 pacientes, oito eram do sexo masculino, sendo sete transexuais. O volume injetado variou de 5ml a 2000ml, sendo desconhecido em três casos. Os locais mais frequentemente utilizados para injeção foram a região de coxas e glúteos. Oito casos apresentaram manifestações precoces, com quadros de inflamação e/ou infecção. Foi necessária a realização de desbridamento cirúrgico em cinco casos. Três pacientes com histórico de injeção na região mamária foram submetidas à adenomastectomia. Houve um óbito por quadro de choque séptico refratário. CONCLUSÃO: O uso do silicone líquido industrial deve ser totalmente contraindicado como material de preenchimento e modificação do contorno corporal, podendo apresentar graves complicações e até mesmo óbito.

Electrocoagulation in the treatment of industrial waters and wastewaters

Chemical coagulation is commonly used in raw water and wastewater treatment plants for the destabilisation of pollutants so that they can be removed in the subsequent separation processes. The most commonly used coagulation chemicals are aluminium and iron metal salts. Electrocoagulation technology has also been proposed for the treatment of raw waters and wastewaters. With this technology, metal cations are produced on the electrodes via electrolysis and these cations form various hydroxides in the water depending on the water pH. In addition to this main reaction, several side reactions, such as hydrogen bubble formation and the reduction of metals on cathodes, also take place in the cell. In this research, the applications of electrocoagulation were investigated in raw water treatment and wastewater applications. The surface water used in this research contained high concentrations of natural organic matter (NOM). The effect of the main parameters – current density, initial pH, electric charge per volume, temperature and electrolysis cell construction – on NOM removal were investigated. In the wastewater treatment studies, the removal of malodorous sulphides and toxic compounds from the wastewaters and debarking effluents were studied. Also, the main parameters of the treatment, such as initial pH and current density, were investigated. Aluminium electrodes were selected for the raw water treatment, whereas wastewaters and debarking effluent were treated with iron electrodes. According to results of this study, aluminium is more suitable electrode material for electrocoagulation applications because it produces Al(III) species. Metal ions and hydroxides produced by iron electrodes are less effective in the destabilisation of pollutants because iron electrodes produce more soluble and less charged Fe(II) species. However, Fe(II) can be effective in some special applications, such as sulphide removal. The resulting metal concentration is the main parameter affecting destabilisation of pollutants. Current density, treatment time, temperature and electrolysis cell construction affect the dissolution of electrodes and hence also the removal of pollutants. However, it seems that these parameters have minimal significance in the destabilization of the pollutants besides this effect (in the studied range of parameters). Initial pH and final pH have an effect on the dissolution of electrodes, but they also define what aluminium or iron species are formed in the solution and have an effect on the ζ-potential of all charged species in the solution. According to the results of this study, destabilisation mechanisms of pollutants by electrocoagulation and chemical coagulation are similar. Optimum DOC removal and low residual aluminium can be obtained simultaneously with electrocoagulation, which may be a significant benefit of electrocoagulation in surface water treatment compared to chemical coagulation. Surface water treatment with electrocoagulation can produce high quality water, which could be used as potable water or fresh water for industrial applications. In wastewater treatment applications, electrocoagulation can be used to precipitate malodorous sulphides to prevent their release into air. Technology seems to be able to remove some toxic pollutants from wastewater and could be used as pretreatment prior to treatment at a biological wastewater treatment plant. However, a thorough economic and ecological comparison of chemical coagulation and electrocoagulation is recommended, because these methods seem to be similar in pollutant destabilisation mechanisms, metal consumption and removal efficiency in most applications.

Interaction with industrial customers from a project selling company's perspective

This thesis studied the issue of interaction in industrial buyer-seller relationships. The aim of the thesis was to study the interaction from the seller’s perspective, especially from a project selling company’s perspective. The purpose of the thesis was to offer suggestions for the case company on how to improve interaction. The theoretical part of the study introduced the interaction framework of buyer-seller interaction, and the concept of interaction mechanisms. The focus was on studying the seller’s ways and means to utilize the interaction mechanisms. A case study research was conducted in the empirical part of the study, in which interaction in the case company was observed at a general level and through three different projects. The case company of the study was a project selling company. The case study data was gathered through individual interviews. Content Analysis was used as a research method for analyzing the case study data. Based on the case study findings, the results were drawn. The results indicated what should be done, in order to develop interaction in the case company. Finally, suggestions were provided for the case company on how to improve interaction, and a suggested interaction model was established for the case company. Although the thesis studied the topic from the viewpoint of only one specific company, it also offers outlook for other seller companies to improve their interaction.

Applications of Industrial Statistics

This dissertation examines knowledge and industrial knowledge creation processes. It looks at the way knowledge is created in industrial processes based on data, which is transformed into information and finally into knowledge. In the context of this dissertation the main tool for industrial knowledge creation are different statistical methods. This dissertation strives to define industrial statistics. This is done using an expert opinion survey, which was sent to a number of industrial statisticians. The survey was conducted to create a definition for this field of applied statistics and to demonstrate the wide applicability of statistical methods to industrial problems. In this part of the dissertation, traditional methods of industrial statistics are introduced. As industrial statistics are the main tool for knowledge creation, the basics of statistical decision making and statistical modeling are also included. The widely known Data Information Knowledge Wisdom (DIKW) hierarchy serves as a theoretical background for this dissertation. The way that data is transformed into information, information into knowledge and knowledge finally into wisdom is used as a theoretical frame of reference. Some scholars have, however, criticized the DIKW model. Based on these different perceptions of the knowledge creation process, a new knowledge creation process, based on statistical methods is proposed. In the context of this dissertation, the data is a source of knowledge in industrial processes. Because of this, the mathematical categorization of data into continuous and discrete types is explained. Different methods for gathering data from processes are clarified as well. There are two methods for data gathering in this dissertation: survey methods and measurements. The enclosed publications provide an example of the wide applicability of statistical methods in industry. In these publications data is gathered using surveys and measurements. Enclosed publications have been chosen so that in each publication, different statistical methods are employed in analyzing of data. There are some similarities between the analysis methods used in the publications, but mainly different methods are used. Based on this dissertation the use of statistical methods for industrial knowledge creation is strongly recommended. With statistical methods it is possible to handle large datasets and different types of statistical analysis results can easily be transformed into knowledge.

A Method for reducing throughput-time in industrial electronics

Lyhyet toimitusajat tuovat yrityksille kilpailuetua nopeasti muuttuvassa teollisuusympäristössä. Tämän diplomityön ensisijaisena tavoitteena on löytää kirjallisuuden avulla yrityksen käyttöön soveltuva menetelmä, joka soveltuu systemaattiseen läpimenoaikojen lyhentämiseen. Tärkeää on myös varmistaa valitun menetelmän soveltuvuus kohdeyrityksen ympäristöön. Työn toisena tavoitteena on ymmärtää, että minkälaisella panostuksella yhden päivän läpimenoaika voidaan saavuttaa. Kirjallisuustutkimuksen avulla on valittu tarkoitukseen sopiva toimintamalli. Menetelmä on testattu yhdellä tuotantolinjalla ja saadut tulokset sekä palaute osoittavat, että se näyttäisi soveltuvan kohdeyrityksen käyttöön. Tuotantolinjalle on tehty toimintasuunnitelma yhden päivän toimitusajan saavuttamiseksi vuoden 2013 aikana. Haasteen laajuutta koko kohdeyrityksessä on tutkittu erillisessä ideointisessiossa. Session tulosten perusteella on tehty prioriteettilista, joka antaa käsityksen toimitusajan merkittävän lyhentämisen vaatimuksista. Yleisesti ottaen kysynnän vaihtelun hallinta on suurin haaste, mutta useita ratkaisuvaihtoehtoja tämän hallitsemiseksi on tunnistettu.

Design of RFID-system for industrial after-sale service

RFID-tekniikka on radiotaajuudella toimivaa etätunnistusta, jossa hyödynnetään RFID-tunnisteiksi kutsuttuja tageja, sekä RFID-lukijoita. RFID-tekniikan käyttökohteet ovat erittäin laajat. Tässä kandidaatintyössä tutkitaan RFID-tekniikan hyödyntämismahdollisuuksia teollisuuden huoltopalvelusuhteessa. Työ keskittyy huollettavien laitteiden etätunnistamiseen mobiileja RFID-lukijoita hyödyntäen. Laitteiden tiedot noudetaan olemassa olevasta tietokannasta web-käyttöliittymän kautta. Koska laitteet koostuvat pääosin metallista, joudutaan tunnistetyyppien valintaa pohtimaan tarkasti. Metallipinnat sekä nesteet vaikuttavat erittäin negatiivisesti useiden tunnisteiden lukuetäisyyteen. Työssä keskitytään vaadittavan järjestelmän suunnittelemiseen aikaisempia tutkimuksia hyödyntäen, mutta itse järjestelmän toteutus ei kuulu tähän kandidaatintyöhön. Lopussa järjestelmän alustava suunnitelma esitellään.

Diversification benefits for a Finnish non-industrial private forest investor: Real Estate Investment Trusts in the USA

This thesis examined both domestic and international forest investment options for a Finnish non-industrial private forest investor. The focus was on forest-based investment instruments. The influence of movements of currency exchange rates on foreign returns were also taken into account. Annual data from 1995 to 2011 was used. The main portfolio optimization model in this study was the Mean-Variance model but the results were also validated by using the Value at Risk and Expected Shortfall models. In addition, the exchange rate risk hedging was established by using one-week-maturity forward contracts. The results suggested that 75 % of the total wealth should be invested in Finnish private forests and the rest, 25 %, to a US REIT, in this case Rayonier. With hedging, the total return on the portfolio was 7.21 % (NIPF 5.3%) with the volatility of 6.63 % (NIPF 7.9%). Taxation supported US investments in this case. As a conclusion, a Finnish private forest investor may, as evidenced, benefit in diversifying a portfolio using REITs in the US.

Customer Segmentation in Industrial Markets - CASE: Labelstock Company

The aim of this thesis is to study segmentation in industrial markets and develop a segmenting method proposal and criteria case study for a labelstock manufacturing company. An industrial company is facing many different customers with varying needs. Market segmentation is a process for dividing a market into smaller groups in which customers have the same or similar needs. Segmentation gives tools to the marketer to better match the product or service more closely to the needs of the target market. In this thesis a segmentation tool proposal and segmenting criteria is case studied for labelstock company’s Europe, Middle East and Africa business area customers and market. In the developed matrix tool different customers are planned to be evaluated based on customer characteristic variables. The criteria for the evaluating matrix are based on the customer’s buying organizations characteristics and buying behaviour. There are altogether 13 variables in the evaluating matrix. As an example of variables there are loyalty, size of the customer, estimated growth of the customer purchases and customer’s decision-making and buying behaviour. These characteristic variables will help to identify market segments to target and the customers belonging to those segments.

Profiling the Value of Industrial Maintenance Services

Industrial maintenance can be executed internally, acquired from the original equipment manufacturer or outsourced to a service provider, and this concludes in many different kind of business relationships. To maximize the total value in a maintenance business relationship it is important to know what the partner values. The value of maintenance services can be considered to consist of value elements and the perceived total value for the customer and the service provider is the sum of these value elements. The specific objectives of this thesis are to identify the most important value elements for the maintenance service customer and provider and also to recognize where the value elements differ. The study was executed as a statistical analysis using the survey method. The data has been collected by an online survey sent to 345 maintenance service professionals in Finland. In the survey, four different types of value elements were considered: the customer’s high critical and low critical items and the service provider’s core and support service. The most valued elements by the respondents were reliability, safety at work, environmental safety, and operator knowledge. The least valued elements were asset management factors and access to markets. Statistically significant differences in value elements between service types were also found. As a managerial implication a value gap profile is presented. This Master’s Thesis is part of the MaiSeMa (Industrial Maintenance Services in a Renewing Business Network: Identify, Model and Manage Value) research project where network decision models are created to identify, model and manage the value of maintenance services.

Variable structure position control of an industrial robotic manipulator

The use of a robust position controller for a robotic manipulator moving in free space is presented. The aim is to implement in practice a controller that is robust to uncertainties in the model of the system, as well as being inexpensive from a computational point of view. Variable structure theory provides the technique for the design of such controller. The design steps are presented, first from a theoretical perspective and then applied to the control of a two degree-of-freedom manipulator. Simulation results that backed the implementation are presented, followed by the experiments conducted and the results that were obtained. The conclusion is that variable structure control is readily applicable to industrial robots for the robust control of positions.

Experimental study applied to an industrial robot by using variable structure controllers and friction compensation

Control of an industrial robot is mainly a problem of dynamics. It includes non-linearities, uncertainties and external perturbations that should be considered in the design of control laws. In this work, two control strategies based on variable structure controllers (VSC) and a PD control algorithm are compared in relation to the tracking errors considering friction. The controller's performances are evaluated by adding an static friction model. Simulations and experimental results show it is possible to diminish tracking errors by using a model based friction compensation scheme. A SCARA robot is used to illustrate the conclusions of this paper.

Modelling flexible asset management in industrial maintenance companies and networks

The tightening competition and increasing dynamism have created an emerging need for flexible asset management. This means that the changes of market demand should be responded to with adjustments in the amount of assets tied to the balance sheets of companies. On the other hand, industrial maintenance has recently experienced drastic changes, which have led to an increase in the number of maintenance networks (consisting of customer companies that buy maintenance services, as well as various supplier companies) and inter-organizational partnerships. However, the research on maintenance networks has not followed the changes in the industry. Instead, there is a growing need for new ways of collaboration between partnering companies to enhance the competitiveness of the whole maintenance network. In addition, it is more and more common for companies to pursue lean operations in their businesses. This thesis shows how flexible asset management can increase the profitability of maintenance companies and networks under dynamic operating conditions, and how the additional value can then be shared between the network partners. Firstly, I have conducted a systematic literature review to identify what kind of requirements for asset management models are set by the increasing dynamism. Then I have responded to these requirements by constructing an analytical model for flexible asset management, linking asset management to the profitability and financial state of a company. The thesis uses the model to show how flexible asset management can increase profitability in maintenance companies and networks, and how the created value can be shared in the networks to reach a win-win situation. The research indicates that the existing models for asset management are heterogeneous by nature due to the various definitions of ‘asset management’. I conclude that there is a need for practical asset management models which address assets comprehensively with an inter-organizational, strategic view. The comprehensive perspective, taking all kinds of asset types into account, is needed to integrate the research on asset management with the strategic management of companies and networks. I will show that maintenance companies can improve their profitability by increasing the flexibility of their assets. In maintenance networks, reorganizing the ownership of the assets among the different network partners can create additional value. Finally, I will introduce flexible asset management contracts for maintenance networks. These contracts address the value sharing related to reorganizing the ownership of assets according to the principles of win-win situations.

Modeling of fireside deposit formation in two industrial furnaces

Fireside deposits can be found in many types of utility and industrial furnaces. The deposits in furnaces are problematic because they can reduce heat transfer, block gas paths and cause corrosion. To tackle these problems, it is vital to estimate the influence of deposits on heat transfer, to minimize deposit formation and to optimize deposit removal. It is beneficial to have a good understanding of the mechanisms of fireside deposit formation. Numerical modeling is a powerful tool for investigating the heat transfer in furnaces, and it can provide valuable information for understanding the mechanisms of deposit formation. In addition, a sub-model of deposit formation is generally an essential part of a comprehensive furnace model. This work investigates two specific processes of fireside deposit formation in two industrial furnaces. The first process is the slagging wall found in furnaces with molten deposits running on the wall. A slagging wall model is developed to take into account the two-layer structure of the deposits. With the slagging wall model, the thickness and the surface temperature of the molten deposit layer can be calculated. The slagging wall model is used to predict the surface temperature and the heat transfer to a specific section of a super-heater tube panel with the boundary condition obtained from a Kraft recovery furnace model. The slagging wall model is also incorporated into the computational fluid dynamics (CFD)-based Kraft recovery furnace model and applied on the lower furnace walls. The implementation of the slagging wall model includes a grid simplification scheme. The wall surface temperature calculated with the slagging wall model is used as the heat transfer boundary condition. Simulation of a Kraft recovery furnace is performed, and it is compared with two other cases and measurements. In the two other cases, a uniform wall surface temperature and a wall surface temperature calculated with a char bed burning model are used as the heat transfer boundary conditions. In this particular furnace, the wall surface temperatures from the three cases are similar and are in the correct range of the measurements. Nevertheless, the wall surface temperature profiles with the slagging wall model and the char bed burning model are different because the deposits are represented differently in the two models. In addition, the slagging wall model is proven to be computationally efficient. The second process is deposit formation due to thermophoresis of fine particles to the heat transfer surface. This process is considered in the simulation of a heat recovery boiler of the flash smelting process. In order to determine if the small dust particles stay on the wall, a criterion based on the analysis of forces acting on the particle is applied. Time-dependent simulation of deposit formation in the heat recovery boiler is carried out and the influence of deposits on heat transfer is investigated. The locations prone to deposit formation are also identified in the heat recovery boiler. Modeling of the two processes in the two industrial furnaces enhances the overall understanding of the processes. The sub-models developed in this work can be applied in other similar deposit formation processes with carefully-defined boundary conditions.

Industrial solution business – transition from product to solution offering

The business logic in the manufacturing industry has changed in the 21st century. In the current industrial market, manufacturers are driven to provide more comprehensive offerings that go beyond the traditional product-orientation by providing capacity and availability for their customers. From incidental merchandise, services have become the core of manufacturers’ offerings with long-lasting service agreements over the life-cycles of their products. This change is driven both by the need of providers to grow and gain competitive advantage and by increased customer demand caused by customers’ outsourcing trends. The three key drivers for manufacturers’ service strategies are outsourcing trends, saturation of the installed base, and commoditization in product markets. Thus, manufacturers focus on providing industrial solutions which are delivered through relational processes with customers by using solution-driven business models. In the management of marketing activities, this can be regarded as closer customer relationships, service-dominant business logic, and collaboration in solving customers’ problems. However, there are few studies on comprehensive conceptualizations of a solution offering that include different elements and their roles, especially in the context of capital goods industry. Also the transition process needs further studies in a real life context. This study explores the transition process of an industrial company from product to solution business and, as an aid to managing the solution business, explicates the structure and management of an industrial solution offering. There are two themes, the industrial transition process and industrial solution offering. Regarding the industrial transition process, the aim is to understand the supplier view on the process and its execution and to determine the challenges related to the transition process. The industrial solution offering is discussed by its elements and characteristics, as well as management. Furthermore, a special type of build-own-operate-transfer business model is presented and its suitability in the industrial context analyzed. The study includes findings achieved by qualitative methods and from four case companies. Based on the results, it is tentatively suggested that in the industrial solution business, the transition from product to solution business is not a linear project but an evolving process that varies according to customer needs, which suggests that companies need to possess an ability to develop new business models for different customer needs. The industrial solution offering is dynamic as it evolves in collaboration according to the prevailing and latent customer needs, which suggest restructuring of the organization from a product-centric to a customer-centric one. Furthermore, based on the findings, the concept of industrial solutions is defined as an ongoing relational process to satisfy a customer’s particular business or operational requirements, and the concept of industrial solution offering as an entity comprising the customized goods, services, collaboration, and finance needed to fulfill the industrial solution. Finally, the study offers several managerial implications for industrial managers involved in the transition and management of the solution business and its offering.

Efeito da densidade e proporção de plantas de tomate industrial e de maria-pretinha em competição

O presente trabalho foi realizado com o objetivo de quantificar as interações competitivas e os índices de competitividade entre plantas de tomate industrial (Lycopersicon esculentum cv. Heinz 9553) e maria-pretinha (Solanum americanum). Usou-se como método um experimento substitutivo, com densidade total de 40 plantas m-2 e 11 proporções, além das monoculturas em densidades, que variaram de 20 a 100 plantas m-2, em intervalos de 20 plantas, conduzidos no delineamento de blocos casualizados com três repetições. Os resultados obtidos foram analisados pelo método convencional de análise de experimentos substitutivos e pela produção recíproca total. A maria-pretinha mostrou ser um competidor mais agressivo que o tomate, sendo mais importante a competição interespecífica para a planta cultivada. Para a biomassa seca total, as duas espécies não competiram pelos mesmos fatores de crescimento. Já para a área foliar, as duas espécies se mostraram competidoras pelos mesmos fatores de crescimento, mostrando ser essa a característica mais sensível à interferência.