The requirements of a feasible plastic packaging material for cultured dairy products

The objective of this Master´s Thesis was to conduct a wide scale preliminary survey regarding the package requirements of a cultured dairy package, and to compare the currently used material polystyrene to other suitable packaging materials. Polystyrene has a long history of use in dairy cups, but in recent years its price has increased significantly compared to other common packaging materials. The overall environmental effects of a package and a package material are today a part of designing a sustainable product life cycle. In addition, in certain contexts there has been discussion of the risks posed by styrene polymer for the environment and for humans. These risks are also discussed in this thesis. Polystyrene (PS) is still the most widely used material in dairy cups. In recent years, polypropylene (PP) cups have appeared in increasing numbers on market shelves. This study focuses on the differences of the suitable polymers and examines the suitability of alternative “suitable” polymers with regards to dairy packaging. Aside from focusing on the cup manufacturer, this thesis also examines its subject matter from the viewpoint of the dairy customer, as well as observing the concrete implications of material changes in the overall value chain. It was known in advance that material permeability would be one of the determining factors and that gas transmission testing would be a significant part of the thesis. Mechanical tests were the second part of the testing process, providing information regarding package strength and protectiveness during the package’s life cycle. Production efficiency, along with uninterrupted stable production, was another important factor that was taken into consideration. These two issues are sometimes neglected in similar contexts due to their self-evident nature. In addition, materials used in production may have a surprising significance to the production and efficiency. Consistent high quality is also partly based on material selection. All of the aforementioned factors have been documented and the results have been analyzed by the development team at Coveris Rigid Finland. Coveris is now calculating the total finance effects and capacities should the material changes be implemented in practice. There are many factors in favor of switching to polypropylene at the moment. The overall production costs, as well as the environmental effects of resin production are the primary influences for said switch from the converters’ perspective.

Raskaita teräsrakenteita valmistavan tilauskonepajan tuotannon kehittäminen

Diplomityössä tarkastellaan raskaita teräsrakenteita valmistavan tilauskonepajan tuotannon kehittämiskohteita. Tuotannon kehittämisellä halutaan nopeuttaa tuotannon läpimenoaikoja, vähentää laatukustannuksia ja parantaa yrityksen tiedonkulkua. Näillä toimenpiteillä pyritään vaikuttamaan yrityksen kilpailukykyyn, jolloin se voi nousta suomalaisessa toimittajaverkostossa korkeammalle portaalle. Työn teoriaosassa paneudutaan tuottavuus- ja laatuajatteluun hitsaavassa konepajassa. Samalla esitellään eräitä konepajoissa tyypillisimmin käytettyjä laatustandardeja, joita ovat: SFS-EN ISO 9001, SFS-EN ISO 3834 ja SFS-EN 1090. Lisäksi teoriaosiossa on kerrottu erilaisista tuotannonohjausjärjestelmistä ja layout-teorioista. Tämän diplomityön kohdeyritys on Karjalan Konepaja Oy. Yrityksen nykytilanteen kartoittamiseksi suoritettiin useita haastatteluita sekä laadittiin koko organisaatiota koskeva kysely. Tilauskonepajan haasteena ovat alati muuttuvat tilaukset. Tilauskonepajan tuotannon kehittäminen tulee aloittaa sopivien tuotannontehokkuutta mittaavien mittareiden määrittämisellä. Usein kapasiteetti ja tuottavuus kuvastavat parhaiten työvaiheiden tehokkuutta. Mittareiden tarkoitus on auttaa konepajaa löytämään ne tuotannon pullonkaulat, joista yrityksen kehittäminen tulisi aloittaa. Lean-filosofian avulla tulee kehittää tuotannosta hitaimmin suoriutuvia työvaiheita. Tarkoituksena on poistaa valmistusketjusta sellaiset työvaiheet, jotka eivät anna tuotteelle lisäarvoa. Lisäksi työpisteiden layout kannattaa kyseenalaistaa aika ajoin, sillä jo pienilläkin muutoksilla voidaan saada parannuksia työpisteiden tuottavuuteen ja kapasiteettiin.

Benefits of gas driven ground source heat pump systems

This thesis studies energy efficiencies and technical properties of gas driven ground source heat pumps and pump systems. The research focuses on two technologies: gas engine driven compressor heat pump and thermally driven gas absorption heat pump. System consist of a gas driven compressor or absorption ground source heat pump and a gas condensing boiler, which covers peak load. The reference system is a standard electrically powered compressor heat pump with electric heating elements for peak load. The systems are compared through primary energy ratios. Coefficient of performances of different heat pump technologies are also compared. At heat pump level, gas driven heat pumps are having lower coefficient of performances as compared with corresponding electric driven heat pump. However, gas heat pumps are competitive when primary energy ratios, where electricity production losses are counted in, are compared. Technically, gas heat pumps can potentially achieve a slightly higher temperatures with greater total energy efficiency as compared to the electric driven heat pump. The primary energy ratios of gas heat pump systems in relation to EHP-system improves when the share of peak load increases. Electric heat pump system's overall energy efficiency is heavily dependent on the electricity production efficiency. Economy as well as CO2-emissions were not examined in this thesis, which however, would be good topics for further study.

Cloud computing contribution to manufacturing industry

Manufacturing industry has been always facing challenge to improve the production efficiency, product quality, innovation ability and struggling to adopt cost-effective manufacturing system. In recent years cloud computing is emerging as one of the major enablers for the manufacturing industry. Combining the emerged cloud computing and other advanced manufacturing technologies such as Internet of Things, service-oriented architecture (SOA), networked manufacturing (NM) and manufacturing grid (MGrid), with existing manufacturing models and enterprise information technologies, a new paradigm called cloud manufacturing is proposed by the recent literature. This study presents concepts and ideas of cloud computing and cloud manufacturing. The concept, architecture, core enabling technologies, and typical characteristics of cloud manufacturing are discussed, as well as the difference and relationship between cloud computing and cloud manufacturing. The research is based on mixed qualitative and quantitative methods, and a case study. The case is a prototype of cloud manufacturing solution, which is software platform cooperated by ATR Soft Oy and SW Company China office. This study tries to understand the practical impacts and challenges that are derived from cloud manufacturing. The main conclusion of this study is that cloud manufacturing is an approach to achieve the transformation from traditional production-oriented manufacturing to next generation service-oriented manufacturing. Many manufacturing enterprises are already using a form of cloud computing in their existing network infrastructure to increase flexibility of its supply chain, reduce resources consumption, the study finds out the shift from cloud computing to cloud manufacturing is feasible. Meanwhile, the study points out the related theory, methodology and application of cloud manufacturing system are far from maturity, it is still an open field where many new technologies need to be studied.

Analysis and Optimization of Machining Process Using Evolutionary Algorithms

To ensure quality of machined products at minimum machining costs and maximum machining effectiveness, it is very important to select optimum parameters when metal cutting machine tools are employed. Traditionally, the experience of the operator plays a major role in the selection of optimum metal cutting conditions. However, attaining optimum values each time by even a skilled operator is difficult. The non-linear nature of the machining process has compelled engineers to search for more effective methods to attain optimization. The design objective preceding most engineering design activities is simply to minimize the cost of production or to maximize the production efficiency. The main aim of research work reported here is to build robust optimization algorithms by exploiting ideas that nature has to offer from its backyard and using it to solve real world optimization problems in manufacturing processes.In this thesis, after conducting an exhaustive literature review, several optimization techniques used in various manufacturing processes have been identified. The selection of optimal cutting parameters, like depth of cut, feed and speed is a very important issue for every machining process. Experiments have been designed using Taguchi technique and dry turning of SS420 has been performed on Kirlosker turn master 35 lathe. Analysis using S/N and ANOVA were performed to find the optimum level and percentage of contribution of each parameter. By using S/N analysis the optimum machining parameters from the experimentation is obtained.Optimization algorithms begin with one or more design solutions supplied by the user and then iteratively check new design solutions, relative search spaces in order to achieve the true optimum solution. A mathematical model has been developed using response surface analysis for surface roughness and the model was validated using published results from literature.Methodologies in optimization such as Simulated annealing (SA), Particle Swarm Optimization (PSO), Conventional Genetic Algorithm (CGA) and Improved Genetic Algorithm (IGA) are applied to optimize machining parameters while dry turning of SS420 material. All the above algorithms were tested for their efficiency, robustness and accuracy and observe how they often outperform conventional optimization method applied to difficult real world problems. The SA, PSO, CGA and IGA codes were developed using MATLAB. For each evolutionary algorithmic method, optimum cutting conditions are provided to achieve better surface finish.The computational results using SA clearly demonstrated that the proposed solution procedure is quite capable in solving such complicated problems effectively and efficiently. Particle Swarm Optimization (PSO) is a relatively recent heuristic search method whose mechanics are inspired by the swarming or collaborative behavior of biological populations. From the results it has been observed that PSO provides better results and also more computationally efficient.Based on the results obtained using CGA and IGA for the optimization of machining process, the proposed IGA provides better results than the conventional GA. The improved genetic algorithm incorporating a stochastic crossover technique and an artificial initial population scheme is developed to provide a faster search mechanism. Finally, a comparison among these algorithms were made for the specific example of dry turning of SS 420 material and arriving at optimum machining parameters of feed, cutting speed, depth of cut and tool nose radius for minimum surface roughness as the criterion. To summarize, the research work fills in conspicuous gaps between research prototypes and industry requirements, by simulating evolutionary procedures seen in nature that optimize its own systems.

Mejoramiento Productivo "Apparel Basic Ltda"

Para el presente trabajo realizado en la Universidad del Rosario, buscamos hacer un mejoramiento productivo de la empresa Apparel Basic Ltda. Teniendo en cuenta todas las herramientas aprehendidas durante la academia y aplicando esto a una empresa del sector real de confecciones. Se centrara el análisis principalmente en las tres áreas donde se observan los mayores problemas organizacionales: Producción, manejo de inventarios y entrega de producto. En el primer análisis se realizara todo el estudio del proceso de producción, teniendo en cuenta la distribución en planta, las rutas críticas de proceso, los diagramas de flujo de producto, el análisis de las principales referencias, entre otros. Todo esto con el fin de identificar los principales errores y poder proponer herramientas y procesos de mejora que sean de ayuda para esta organización. El siguiente análisis se desarrollara en el manejo de inventarios; dentro de este aspecto se analizaran la distribución de las bodegas de producto, la identificación de los productos de mayor rotación, el planteamiento de indicadores de gestión, entre otros procesos, con el fin de identificar procesos benéficos para la empresa que aceleren y mejoren el flujo de producto al interior de la organización. Luego de esto, se analiza todo el proceso de alistamiento y entrega de producto ya que es uno de los principales problemas dentro de la organización porque se esta incumpliendo con los pedidos de los clientes lo que genera un problema de insatisfacción por parte de los clientes.

Deteção e Quantificação Precoce de Clostridium perfringens em Frangos de Crescimento Rápido e de Plumagem Branca na Região de Lisboa e Vale do Tejo

Clostridium perfringens é uma bactéria anaeróbia Gram positiva, formadora de esporos e produtora de toxinas capazes de causar um amplo espectro de doenças em humanos e animais. Em frangos de crescimento rápido e de plumagem branca pode causar lesões e manifestações clínicas severas como enterite necrótica aviária (ENA), associada a uma baixa eficiência produtiva e avultadas perdas económicas. Neste estudo pretendeu-se avaliar a utilização de um teste de ensaio imunocromatográfico de fluxo lateral, o Clostridium FirstTestTM, para deteção e quantificação precoce de C. perfringens em frangos de crescimento rápido e plumagem branca e posterior relação entre a presença do agente e as características dos bandos (peso médio à chegada, idade dos bandos à amostragem), fatores ambientais (densidade populacional, temperatura ambiente, humidade da cama) e os indicadores de produção (ganho médio diário, Índice de Conversão Alimentar e percentagem de mortalidade). Para tal, foram analisadas amostras fecais de trinta bandos, em dezoito explorações integradas, na Região de Lisboa e Vale do Tejo. De acordo com a classificação do Clostridium FirstTestTM, dos trinta bandos amostrados entre o décimo primeiro e o décimo quinto dia de vida, 30 % foram classificados como “Positivo” (n=9) e 10 % foram classificados como “Muito Positivo” (n=3); apresentando concentrações médias de C. perfringens de 0,1322 ng/ml e 0,3267 ng/ml, respectivamente. Os restantes bandos, 60% (n=18), foram considerados “Normal” e apresentaram concentrações médias de C. perfringens de 0,0283 ng/ml. As amostras fecais dos bandos classificados de “Positivo” e “Muito Positivo” foram posteriormente sujeitas a análise microbiológica apresentando ambos os grupos unidades formadoras de colónias (UFC), identificadas como C. perfringens. Verificou-se que não existe relação entre os resultados do Clostridium FirstTestTM e as características dos bandos, os fatores ambientais e os indicadores de produção. Verificou-se uma diminuição dos níveis de C. perfringens nos bandos sujeitos a tratamento.

Variation on the effects of the 2003 CAP reform and regional differences in the Italian olive oil sector

This paper analyses the impacts of the 2003 CAP reform on the production of Italian olive oil controlling for the regional differences in olive oil production as well as for the differences between years. Italian olive oil production time series data from the Farm Accountancy Data Network for the 2000-2010 period at regional level is used to examine the effect of the 2003 Fischler reform on the production of olive oil. Production costs and payments received by farmers to support their income are considered. The data were collected at micro level based on a sample of farms representative of the production systems in the country. In order to consider the differences in production among the regions, eight representative regions in terms of surveyed farms are considered: Liguria, Toscana, Umbria, Lazio, Campania, Calabria, Puglia and Sicilia. We found that the most important factors affecting the production of olive oil are the area under olive groves and labour productivity. Results also show no evidence that the level of payments have an impact to the level of production, however, the type of payments has. Future work should explore the impact of the 2003 reform into the technical and production efficiency of the Italian olive oil farmers. It would be interesting to link the measures introduced by the cross compliance and the management practices of the different farms to have a more complete picture of the various parameters influencing the production of olive oil.

Effect of poultry viscera meal inclusion in broiler diets in different rearing periods on performance, carcass and parts yields

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Transformações técnico-podutivas e comerciais na pecuária de corte brasileira a partir da década de 90

Analisou-se o perfil da pecuária de corte brasileira diante das mudanças ocorridas no sistema de produção/comercialização, observando-se especificamente os índices zootécnicos e produtivos e os volumes de carne produzidos, consumidos e exportados a partir de 1990. Foram analisados dados de trabalhos científicos e de artigos técnicos publicados em jornais e revistas, além de informações veiculadas pela internet. Considerando os resultados obtidos, pode-se inferir que o país apresenta significativo potencial de expansão das exportações de carne bovina, o que exige ajustes internos, que envolvem aspectos sanitários, políticas setoriais e visão mais sistêmica de cadeia produtiva. Destaca-se que esses aspectos ganharam maior importância após a consolidação do Mercado Comum do Sul (Mercosul), quando as relações comerciais se intensificaram e as reações da produção nacional impediram inflexões na estrutura comercial de carne bovina nos mercados interno e externo.

Parâmetros genéticos para diferentes relações de peso ao nascer e à desmama em vacas da raça Nelore

O presente estudo foi desenvolvido com o objetivo de estimar herdabilidade e repetibilidade para diferentes medidas de eficiência produtiva de vacas e determinar a melhor maneira de calcular as relações de peso, visando a sua utilização como critério de seleção em rebanhos da raça Nelore. Os dados analisados são de animais da raça Nelore, pertencentes ao Projeto de Seleção das Raças Zebuínas e Caracu do Centro APTA Bovinos de Corte, do Instituto de Zootecnia de Sertãozinho. Os animais são selecionados para maior peso ao sobreano (rebanhos NeS e NeT, analisados como um único rebanho) e para peso ao sobreano próximo da média (NeC) do grupo de contemporâneos, desde 1980. As características utilizadas no estudo foram: 1) RPN = relação de peso ao nascer do bezerro / peso da vaca ao parto; 2) RPN2 = relação do peso ao nascer do bezerro / peso metabólico da vaca ao parto; 3) RPD = relação de peso à desmama do bezerro / peso da vaca à desmama; e 4) RPD2 = relação do peso à desmama do bezerro / peso metabólico da vaca à desmama. Os parâmetros genéticos foram estimados considerando dois arquivos: vacas com bezerros (CB) e vacas com e sem bezerros (SB). A RPN e a RPN2 foram calculadas somente no arquivo CB, enquanto que RPD e RPD2 foram calculadas em ambos os arquivos (CB e SB). Os parâmetros genéticos foram estimados pelo método da máxima verossimilhança restrita. As estimativas de herdabilidade para as características RPN; RPN2; RPD_CB; RPD2_CB; RPD_SB e RPD2_SB foram: 0,17±0,02; 0,16±0,02; 0,22±0,04; 0,19±0,03; 0,20±0,01 e 0,16±0,01, respectivamente. As repetibilidades estimadas variaram de 0,22 a 0,68. A utilização das relações de peso como critério de seleção deve promover, a longo prazo, melhorias na eficiência produtiva das vacas. As relações de peso têm sido consideradas apenas como informações para o descarte de vacas em alguns programas de seleção, mas poderiam ser incluídas em índices de seleção, principalmente quando calculada considerando o peso metabólico da vaca à desmama, incluindo tanto as vacas que desmamaram um bezerro, quanto aquelas que falharam em desmamar.

Predição da incrustação em um trocador de calor baseada em redes neurais artificiais

A serious problem that affects an oil refinery s processing units is the deposition of solid particles or the fouling on the equipments. These residues are naturally present on the oil or are by-products of chemical reactions during its transport. A fouled heat exchanger loses its capacity to adequately heat the oil, needing to be shut down periodically for cleaning. Previous knowledge of the best period to shut down the exchanger may improve the energetic and production efficiency of the plant. In this work we develop a system to predict the fouling on a heat exchanger from the Potiguar Clara Camarão Refinery, based on data collected in a partnership with Petrobras. Recurrent Neural Networks are used to predict the heat exchanger s flow in future time. This variable is the main indicator of fouling, because its value decreases gradually as the deposits on the tubes reduce their diameter. The prediction could be used to tell when the flow will have decreased under an acceptable value, indicating when the exchanger shutdown for cleaning will be needed

Secagem do resíduo industrial da acerola em leito de jorro: estudos fluidodinâmicos e análise do desempenho do secador

In this research, the drying process of acerola waste was investigated by using a spouted bed drier. The process was conducted using high density polyethylene inert particles with the objective of producing an ascorbic acid-rich final product. The fruit waste was ground and used to prepare different water-maltodextrin suspensions. Initially, fluidynamical experiments were conducted in order to evaluate the feeding effect on the spouted bed drier fluidynamics behavior. The experimental planning 23 + 3 was used to investigate the effect of the following variables: solids concentration, drying air temperature, intermittence time, production efficiency, solids retention and product losses by elutriation of fine particles on drier walls. The effect of selected independent variables on the drier stability was also evaluated based on a parameter defined as the ratio between the feed suspension volume and the total inert particles volume. Finally, the powder quality was verified in experiments with fixed feed flow and varying air drying temperature, drying air velocity and intermittence time. It was observed that the suspension interferes in the spouted bed drier fluidynamics behavior, and higher air flow is necessary to stabilize the drier. The suspension also promotes the expansion of the spouted bed diameter, decreases the solid circulation and favors the air distribution at the flush area. All variables interfere in the spouted bed performance, and the solids concentration has a major effect on the material retention and losses. The intermittence time also has great effect on the stability and material retention. When it comes to production efficiency, the main effect observed was the drying air temperature. First order models were well adjusted to retention and losses data. The acerola powder presented ascorbic acid levels around 600 to 700 mg/100g. Similar moisture and ascorbic acid levels were obtained for powders obtained by spouted bed and spray drier. However, the powder production efficiency of the spray drier was lower when compared to spouted bed drier. When it comes to energetic analysis, the spray drier process was superior. The results obtained for spouted bed drier are promising and highly dependent on the operational parameters chosen, but in general, it is inferred that this drying process is adequate for paste and suspension drying

Contributions and perspectives of chicken genomics in Brazil: from biological model to export commodity

Chicken is one of the most important sources of animal protein for human consumption, and breeding programmes have been responsible for constant improvements in production efficiency and product quality. Furthermore, chicken has largely contributed to fundamental discoveries in biology for the last 100 years. In this article we review recent developments in poultry genomics and their contribution to adding functional information to the already existing structural genomics, including the availability of the complete genome sequence, a comprehensive collection of mRNA sequences ( ESTs), microarray platforms, and their use to complement QTL mapping strategies in the identification of genes that underlie complex traits. Efforts of the Brazilian Poultry Genomics Programme in this area resulted in generation of a resource population, which was used for identification of Quantitative Trait Loci ( QTL) regions, generation of ESTs and candidate gene studies that contributed to furthering our understanding of the complex biological processes involved in growth and muscular development in chicken.