9 resultados para Livestock factories

em Deakin Research Online - Australia


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A ban on grazing, particularly by small ruminants, forms an important component of the Forest Policy and Joint Forest Management arrangements in India. Some caste groups keep larger number of small ruminants than the others. It is considered as a social trait that is sought to be corrected through extension efforts. This paper analyses the livestock structure of households by using a model of household behaviour based on profit maximisation. It shows that landholding plays a crucial role in livestock structure of households and because certain caste groups have smaller landholding they tend to keep small ruminants that can feed on the common lands and forest areas. The policy of a ban or restriction on grazing adversely affects such caste groups who therefore come to resent it.

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Livestock producers and their employees sometimes experience unintentional needlestick injury (NSI) while vaccinating or injecting medications into animals. There is little published regarding the medical complications that can develop from this occupational exposure. The objectives of this study were to (1) perform a retrospective review of animal-related NSIs treated at a tertiary medical center of a rural state; and (2) review the risks of NSI and measures to decrease their occurrence. Medical records of patients with NSI related to animal injection were identified from the University of Iowa Hospitals and Clinics database from 2002 to 2008 and reviewed. Nine patients received medical care for NSI that occurred while vaccinating farm animals. Most common NSI site was the nondominant hand and most occurred while attempting to inject the animal. Soft tissue infection was common and all nine received oral and/or intravenous antibiotics. Two thirds required hospital admission. Three required surgery and one had a bedside incision and drainage procedure. One patient had a serious inflammatory reaction with necrosis in the leg due to the oil adjuvant in the animal vaccine. Another case had a probable mycetoma with osteomyelitis and soft tissue infection due to the bacteria Streptomyces, which is a NSI complication not previously reported. Although medical complications from farm-related NSIs do not appear to be common, this case series illustrates how these injuries can be debilitating, costly, and lead to loss of work time and productivity. Producers and employees who inject livestock need to be aware of the risks and utilize measures to decrease unintentional NSI.

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A medium scale Mung Bean starch factory was taken in this study to assess the pollution caused by various streams in starch and noodle factories, and to provide the basic information for wastewater management in them. This study shows that the wastewater from starch processing unit with 46~54 tons of production capacity is the main polluting source, contained high values of COD and SS. Also the specific water consumption to process one ton Mung Bean in 16~25m3 is higher that theoretically required one. Methods have been proposed for minimizing and treating the wastewater produced by the factory to overcome the pollution problems. One of the alternatives is to use water in a controlled way by making optimum flow rates on the tab valves, in which water consumption can be brought down. However, bio-treatability of wastewater can be used for treating the total wastewater due to the suitability in characteristics.

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Technology in the manufacturing sector has seen rapid change, transforming from stand alone, manual processes to smart, integrated systems. We have witnessed the migration of relay-based systems to advance SCADA systems, manual pro-duction to fully automated, and hand written reports to interactive computer-based dashboards. We are now seeing the emergence of smart products manufactured in smart plants and the evolution of smart services in manufacturing. Future manu-facturing systems will be distinguished by intelligent machines, automation and human factors’ integration. This talk will focus on how knowledge can be embed-ded in processes and products through the use of simulation and modelling tools to streamline future smart production systems and improve product quality. The implications to future smart manufacturing enterprises are explored through a se-ries of case studies from aerospace, mining and small and medium manufacturing enterprises.

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Factories of the Future will be distinguished by intelligent machines, automation, human factors integration and knowledge management. Modelling and simulation is recognised as a key enabling technology essential to economic, social and environmental sustainability of future manufacturing systems. This talk will explore the history, recent achievements and directions in modelling and simulation for 21st century factories and supply chains. A systems science approach is employed, from stakeholder engagement through participative modelling to self-tuning and self-assembling simulations. Our contributions lower the cost of the application of modelling and simulation to manufacturing processes, enabling real time planning, dynamic risk analysis, dashboards and 3D visualisation. This realisation of the virtual factory integrates human factors and decisions into the core technology platform. The implications to future manufacturing enterprises are explored through a series of case studies from aerospace, mining and small and medium manufacturing enterprises.

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This article examines the determinants of working excessive hours, defined as working in excess of 60 hours per week or for more than six consecutive days, in Chinese and Thai supply chain factories. We use a matched employer-employee dataset collected from 15 Chinese and Thai footwear and sporting apparel supply chain factories, which supply international brands. Matched employer-employee data allow us to examine the effect of worker and firm characteristics on hours worked. We find that in addition to the demographic and human capital characteristics of workers, firm-level characteristics and worker awareness of how to refuse overtime are important in explaining variation in hours worked. © John Wiley & Sons Ltd/London School of Economics 2011.

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Diagnosis and control of Foot-and-mouth disease virus (FMDV) requires rapid and sensitive diagnostic tests. Two antibody enzyme-linked immunosorbent assay (ELISA) kits, Ceditest® FMDV-NS for the detection of antibodies against the nonstructural proteins of all FMDV serotypes and Ceditest® FMDV type O for the detection of antibodies against serotype O, were evaluated under African endemic conditions where the presence of multiple serotypes and the use of nonpurified vaccines complicate serological diagnosis. Serum samples from 218 African buffalo, 758 cattle, 304 goats, and 88 sheep were tested using both kits, and selected samples were tested not only in serotype-specific ELISAs for antibodies against primarily FMDV serotype O, but also against other serotypes. The FMDV-NS assay detected far more positive samples (93%) than the FMDV type O assay (30%) in buffalo (P < 0.05), with predominant antibodies against the South African Territories (SAT) serotypes, while the seroprevalence was generally comparable in cattle with antibodies against serotype O elicited by infection and/or vaccination. However, some districts had higher seroprevalence using the FMDV type O assay indicating vaccination without infection, while 1 cattle herd with antibodies against the SAT serotypes had far more positive samples (85%) using the FMDV-NS versus the FMDV type O (10%), consistent with the latter test's lower sensitivity for antibodies against SAT serotypes. Based on the current investigation, the FMDV type O ELISA may be limited by the presence of SAT serotypes. The FMD NS assay worked well as a screening test for antibodies against all FMDV serotypes present in Uganda; however, as long as nonpurified vaccines are applied in the region, this test cannot be used to differentiate between vaccinated and infected animals.

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The manufacturing sector has gone through tremendous change in the last decade. We have witnessed the transformation from stand alone, manual processes to smart and integrated systems, from hand written reports to interactive computer-based dashboards. Future integrated factories will operate as a system of systems through intelligent machines, human factors integration, and integrated supply chains. To effectively operate and manage these emerging enterprises, a systems science approach is required. Modelling and simulation is recognised as a key enabling technology, with application from stakeholder engagement and knowledge elicitation to operational decision support through self-tuning and self-assembling simulations. Our research has led to the introduction of effective modelling and simulation methods and tools to enable real time planning, dynamic risk analysis and effective visualisation for production processes, resources and systems. This paper discusses industrial applicable concepts for real-time simulation and decision support, and the implications to future integrated factories, or factories of the future, are explored through relevant case studies from aerospace manufacturing to mining and materials processing enterprises.