993 resultados para Process indicators
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Las juntas directivas han tenido dificultades que han deteriorado su efectividad. A pesar de buscar el mejoramiento del desempeño de estas a través de regulaciones y de enfoques netamente financieros, el problema persiste. Este artículo busca determinar que un cambio en el grado de atención, en los temas y asuntos de dirección y gerencia que tratan las juntas directivas, puede contribuir a una mayor efectividad de estas. La metodología utilizada para este análisis se basa en una encuesta dirigida a las juntas directivas de nueve empresas situadas en Bogotá Colombia. A partir de esta encuesta, el autor encuentra el GAP entre el grado de atención actual y el grado de atención deseado que las juntas directivas prestan a sus temas y asuntos, determina cuales son los más relevantes a tratar en sus sesiones venideras y también la manera de abordarlos. Al finalizar el análisis, el autor establece que las juntas directivas necesitan dar prioridades a temas como la estrategia y a asuntos como los procesos financieros con indicadores como el EVA y el EBITDA. Así mismo, que las juntas directivas, al aumentar el grado de atención en los asuntos de dirección y gerencia, podrán evidenciar una mejora en la efectividad de su desempeño. Esto redundará en beneficio de todos los grupos de interés que están influenciados por las actividades y resultados de la empresa, logrando así un mayor bienestar para la sociedad.
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Organizations are seeking new ideas, tools and methods aiming to improve management process and performance. On the other hand, system performance measurement needs to portray organizational changes and provide managers with a set of true and more appropriate information for the decision-making process. This work aims to propose a performance measurement system in the academic field regarding Research, Development and Innovation (RDI) in the oil and gas industry. The research performed a bibliographic review in a descriptive exploratory manner. A field research was conducted with an expert focus group in order to gather new indicators. As for the validation of these indicators, a survey with experienced professional was also realized. The research surveyed four segments in and outside of the Federal University of Rio Grande do Norte-Brazil such as oil and gas project coordinators, staff at Academic Planning Offices, FUNPEC employees as well as coordinators from Petrobrás. The performance measuring system created from this study features three interrelated performance indicators pointed out as: process indicators, outcome indicators and global indicators. The proposal includes performance indicators that seek to establish more appropriate strategies for effective institution management. It might help policy making of university-industry interaction policies
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Objectives: to evaluate the structure and process of the prenatal and puerperal care given by Direção Regional de Saúde (DIR) XI, at the city of Botucatu, State of São Paulo, Brazil. Methods: an evaluation of resources and activities developed during prenatal and puerperal care in twenty municipalities comprising DIR XI which had adhered the Prenatal and Birth Humanization Program until 2003. Interviews with city managers and analysis of 385 sampled patient charts taking into account recommendations by the Health Department. Results: structure analysis showed that caregiving was centered on medical work; basic equipment and instruments were available; 85.2% of patients began prenatal care with up to 120 days of pregnancy, and 75.9% had at least six prenatal consultations. The active search for absentees and strategies for early prenatal care initiation were observed in 30% and 50% of the municipalities, respectively. Process indicators showed that 3.6% of women had six prenatal consultations, one puerperal consultation, all basic exams and tetanus immunization. Recording of gestational age, arterial blood pressure and weight was of approximately 90%; 58.7% of the women underwent childbirth review and 31.5% were vaccinated. Conclusions: the performance of the set of activities is a challenge to prenatal care at DIR XI.
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This article summarizes the implementation of an online process management, analysis, and optimization tool at Lwarcel Celulose e Papel, within the PIMS and MES philosophy, for process indicator implementation, understanding of variables, and their cause-effect relationship in the process, as well as the achievement of operational benchmarking. The process analysis, by means of statistical tools, allied to mathematical modeling algorithms used in Wedge, makes it possible to identify the relevant information for process and quality improvement with regard to efficiency, equipment maintenance, productivity, and uniformity of the end product quality, reduction of unwanted shutdowns, and quicker resolution of process problems.
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Pós-graduação em Enfermagem (mestrado profissional) - FMB
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In industrial plants, there is a department responsible for planning the use of productive resources to find the best possible way to set out plans in strategic, tactical and operational levels. This department is known as PCP or PPCP, which means Planning and Production Control and Planning, Programming and Production Control, respectively. This work presents the use of some of the tools from this department, in particular the Aggregate Production Planning, to propose a new layout of electronic nutrunners for an auto parts industry output line. Through some process indicators analyzes, was identified some productivity losses. The higher loss rate occurred by the electronic nutrunners breaking, and so this work was focused in these devices. Some premises were adopted for the use of electronic nut runners, setting an ideal cycle time for the operation of the production line and making calculations to define the minimum amount of electronic nutrunners to find the production demand without damaging the equipment. With this work we observed that a relevant factor for the constant breaks of electronic nutrunners is because these are working with overload, in other words, the amount of installed equipment is not enough to supply the demand without failures
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Although conventional sediment parameters (mean grain size, sorting, and skewness) and provenance have typically been used to infer sediment transport pathways, most freshwater, brackish, and marine environments are also characterized by abundant sediment constituents of biological, and possibly anthropogenic and volcanic, origin that can provide additional insight into local sedimentary processes. The biota will be spatially distributed according to its response to environmental parameters such as water temperature, salinity, dissolved oxygen, organic carbon content, grain size, and intensity of currents and tidal flow, whereas the presence of anthropogenic and volcanic constituents will reflect proximity to source areas and whether they are fluvially- or aerially-transported. Because each of these constituents have a unique environmental signature, they are a more precise proxy for that source area than the conventional sedimentary process indicators. This San Francisco Bay Coastal System study demonstrates that by applying a multi-proxy approach, the primary sites of sediment transport can be identified. Many of these sites are far from where the constituents originated, showing that sediment transport is widespread in the region. Although not often used, identifying and interpreting the distribution of naturally-occurring and allochthonous biologic, anthropogenic, and volcanic sediment constituents is a powerful tool to aid in the investigation of sediment transport pathways in other coastal systems.
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We define a capacity reserve model to dimension passenger car service installations according to the demographic distribution of the area to be serviced by using hospital?s emergency room analogies. Usually, service facilities are designed applying empirical methods, but customers arrive under uncertain conditions not included in the original estimations, and there is a gap between customer?s real demand and the service?s capacity. Our research establishes a valid methodology and covers the absence of recent researches and the lack of statistical techniques implementation, integrating demand uncertainty in a unique model built in stages by implementing ARIMA forecasting, queuing theory, and Monte Carlo simulation to optimize the service capacity and occupancy, minimizing the implicit cost of the capacity that must be reserved to service unexpected customers. Our model has proved to be a useful tool for optimal decision making under uncertainty integrating the prediction of the cost implicit in the reserve capacity to serve unexpected demand and defining a set of new process indicators, such us capacity, occupancy, and cost of capacity reserve never studied before. The new indicators are intended to optimize the service operation. This set of new indicators could be implemented in the information systems used in the passenger car services.
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El objetivo de esta investigación consiste en definir un modelo de reserva de capacidad, por analogías con emergencias hospitalarias, que pueda ser implementado en el sector de servicios. Este está específicamente enfocado a su aplicación en talleres de servicio de automóviles. Nuestra investigación incorpora la incertidumbre de la demanda en un modelo singular diseñado en etapas que agrupa técnicas ARIMA, teoría de colas y simulación Monte Carlo para definir los conceptos de capacidad y ocupación de servicio, que serán utilizados para minimizar el coste implícito de la reserva capacidad necesaria para atender a clientes que carecen de cita previa. Habitualmente, las compañías automovilísticas estiman la capacidad de sus instalaciones de servicio empíricamente, pero los clientes pueden llegar bajo condiciones de incertidumbre que no se tienen en cuenta en dichas estimaciones, por lo que existe una diferencia entre lo que el cliente realmente demanda y la capacidad que ofrece el servicio. Nuestro enfoque define una metodología válida para el sector automovilístico que cubre la ausencia genérica de investigaciones recientes y la habitual falta de aplicación de técnicas estadísticas en el sector. La equivalencia con la gestión de urgencias hospitalarias se ha validado a lo largo de la investigación en la se definen nuevos indicadores de proceso (KPIs) Tal y como hacen los hospitales, aplicamos modelos estocásticos para dimensionar las instalaciones de servicio de acuerdo con la distribución demográfica del área de influencia. El modelo final propuesto integra la predicción del coste implícito en la reserva de capacidad para atender la demanda no prevista. Asimismo, se ha desarrollado un código en Matlab que puede integrarse como un módulo adicional a los sistemas de información (DMS) que se usan actualmente en el sector, con el fin de emplear los nuevos indicadores de proceso definidos en el modelo. Los resultados principales del modelo son nuevos indicadores de servicio, tales como la capacidad, ocupación y coste de reserva de capacidad, que nunca antes han sido objeto de estudio en la industria automovilística, y que están orientados a gestionar la operativa del servicio. ABSTRACT Our aim is to define a Capacity Reserve model to be implemented in the service sector by hospital's emergency room (ER) analogies, with a practical approach to passenger car services. A stochastic model has been implemented using R and a Monte Carlo simulation code written in Matlab and has proved a very useful tool for optimal decision making under uncertainty. The research integrates demand uncertainty in a unique model which is built in stages by implementing ARIMA forecasting, Queuing Theory and a Monte Carlo simulation to define the concepts of service capacity and occupancy, minimizing the implicit cost of the capacity that must be reserved to service unexpected customers. Usually, passenger car companies estimate their service facilities capacity using empirical methods, but customers arrive under uncertain conditions not included in the estimations. Thus, there is a gap between customer’s real demand and the dealer’s capacity. This research sets a valid methodology for the passenger car industry to cover the generic absence of recent researches and the generic lack of statistical techniques implementation. The hospital’s emergency room (ER) equalization has been confirmed to be valid for the passenger car industry and new process indicators have been defined to support the study. As hospitals do, we aim to apply stochastic models to dimension installations according to the demographic distribution of the area to be serviced. The proposed model integrates the prediction of the cost implicit in the reserve capacity to serve unexpected demand. The Matlab code could be implemented as part of the existing information technology systems (ITs) to support the existing service management tools, creating a set of new process indicators. Main model outputs are new indicators, such us Capacity, Occupancy and Cost of Capacity Reserve, never studied in the passenger car service industry before, and intended to manage the service operation.
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The Nursing Homes are an important alternative care in the world, but Brazil still has no valid instrument to monitor the quality these institutions. In the United States, the Observable Indicators of Nursing Home Care Quality Instrument (OIQ) is used to assess the quality of Nursing Home care using 30 indicators of structure (2 dimensions) and process (5 dimensions) related to quality person-centered care. The present study aimed at cross-culturally adapting the OIQ in order to evaluate the quality of Nursing Home care in Brazil. Conceptual and item equivalence were determined to assess the relevance and viability of OIQ in the Brazilian context, using the Content Validity Index (CVI) and a group of specialists composed of 10 participants directly involved in the object of study. Next, operational, idiomatic and semantic equivalence were carried out concurrently. This consisted of 5 phases: (1) two translations and (2) their respective back translations; (3) formal appraisal of referential and general meaning; (4) review by a second group of specialists; (5) application of the pretest at three Nursing Homes by different social entities: health professionals, sanitary surveillance regulators and potential consumers. Measurement equivalence was evaluated by the Cronbach’s alpha test to verify the internal consistency of the instrument. To measure inter-evaluator agreement, the General Agreement Index (ICG) and Kappa coefficient were used. Timely compliance and 95% Confidence Interval of indicators, dimensions and total construct were estimated. The CVI obtained high results for both relevance (95.3%) and viability (94.3%) in the Brazilian context. With respect to referential meaning, similarity was observed, ranging between 90-100% for the first back translation and 70-100% for the second. In relation to general meaning, version 1 was better, classified as “unchanged” in 80% of the items, whereas in version 2 it was only 47%. In the pretest, the OIQ was easy to understand and apply. The following outcomes were obtained: a high Cronbach’s alpha (0.93), satisfactory ICG (75%) and substantial agreement between the pairs of evaluators (health professionals, regulators from the Superintendency of Sanitary Surveillance –SUVISA-, and potential consumers), according to the Kappa coefficient (0.65). It´s possible take the operational equivalence held since it preserved the original layout in the Brazilian version from the maintenance in application mode, response options, number of items, statements and scores. The performance of nursing homes obtained approximate average scores of 87, a variation 55-111 considering a range from 30 to 150 points. The worst outcomes were related to process indicators with a mean of 2.8 per item, while structure was 3.75 on a scale of 1 to 5. The lowest score was obtained for the care dimension (mean 2). The OIQ version was deemed to be a valid and reliable instrument in the Brazilian context. It is recommended that health professionals, regulators and potential consumers adopt it to access and monitor the quality of Nursing Home care and demonstrating opportunities for improvement.
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BACKGROUND: Eighty per cent of Malawi's 8 million children live in rural areas, and there is an extensive tiered health system infrastructure from village health clinics to district hospitals which refers patients to one of the four central hospitals. The clinics and district hospitals are staffed by nurses, non-physician clinicians and recently qualified doctors. There are 16 paediatric specialists working in two of the four central hospitals which serve the urban population as well as accepting referrals from district hospitals. In order to provide expert paediatric care as close to home as possible, we describe our plan to task share within a managed clinical network and our hypothesis that this will improve paediatric care and child health.
PRESENTATION OF THE HYPOTHESIS: Managed clinical networks have been found to improve equity of care in rural districts and to ensure that the correct care is provided as close to home as possible. A network for paediatric care in Malawi with mentoring of non-physician clinicians based in a district hospital by paediatricians based at the central hospitals will establish and sustain clinical referral pathways in both directions. Ultimately, the plan envisages four managed paediatric clinical networks, each radiating from one of Malawi's four central hospitals and covering the entire country. This model of task sharing within four hub-and-spoke networks may facilitate wider dissemination of scarce expertise and improve child healthcare in Malawi close to the child's home.
TESTING THE HYPOTHESIS: Funding has been secured to train sufficient personnel to staff all central and district hospitals in Malawi with teams of paediatric specialists in the central hospitals and specialist non-physician clinicians in each government district hospital. The hypothesis will be tested using a natural experiment model. Data routinely collected by the Ministry of Health will be corroborated at the district. This will include case fatality rates for common childhood illness, perinatal mortality and process indicators. Data from different districts will be compared at baseline and annually until 2020 as the specialists of both cadres take up posts.
IMPLICATIONS OF THE HYPOTHESIS: If a managed clinical network improves child healthcare in Malawi, it may be a potential model for the other countries in sub-Saharan Africa with similar cadres in their healthcare system and face similar challenges in terms of scarcity of specialists.
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This article reports the results of a survey of the pearl oyster industry in French Polynesia territory. Its purpose is to examine the perceptions of the priorities for the development of this industry towards sustainable development. These perceptions were apprehended by a survey of pearl oyster farmers and other stakeholders of the sector (management authorities, scientists). After describing the methodological protocol of these investigations, it comes to confront the priorities chosen by professionals (i.e. pearl farmers) concerning sustainable development, with the perceptions of others stakeholders in the sector. Secondly it comes to build a typology of the priorities of pearl farmers concerning sustainable development. This analysis enables the assessment of the degree of convergence within the sector, which is the base material for defining a shared action plan at the territory scale. This is the first study compiling data of surveys of various professionals and stakeholders of the pearl farming industry in such a large area in French Polynesia.
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Organizations are seeking new ideas, tools and methods aiming to improve management process and performance. On the other hand, system performance measurement needs to portray organizational changes and provide managers with a set of true and more appropriate information for the decision-making process. This work aims to propose a performance measurement system in the academic field regarding Research, Development and Innovation (RDI) in the oil and gas industry. The research performed a bibliographic review in a descriptive exploratory manner. A field research was conducted with an expert focus group in order to gather new indicators. As for the validation of these indicators, a survey with experienced professional was also realized. The research surveyed four segments in and outside of the Federal University of Rio Grande do Norte-Brazil such as oil and gas project coordinators, staff at Academic Planning Offices, FUNPEC employees as well as coordinators from Petrobrás. The performance measuring system created from this study features three interrelated performance indicators pointed out as: process indicators, outcome indicators and global indicators. The proposal includes performance indicators that seek to establish more appropriate strategies for effective institution management. It might help policy making of university-industry interaction policies
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Some diverse indicators used to measure the innovation process are considered, They include those with art aggregate, and often national, focus, and rely on data from scientific publications, patents and R&D expenditures, etc. Others have a firm-level perspective, relying primarily on surveys or case studies. Also included are indicators derived from specialized databases, or consensual agreements reached through foresight exercises. There is an obvious need for greater integration of the various approaches to capture move effectively the richness of available data and better reflect the reality of innovation. The focus for such integration could be in the area of technology strategy, which integrates the diverse scientific, technological, and innovation activities of firms within their operating environments; improved capacity to measure it has implications for policy-makers, managers and researchers.
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The simultaneous design of the steady-state and dynamic performance of a process has the ability to satisfy much more demanding dynamic performance criteria than the design of dynamics only by the connection of a control system. A method for designing process dynamics based on the use of a linearised systems' eigenvalues has been developed. The eigenvalues are associated with system states using the unit perturbation spectral resolution (UPSR), characterising the dynamics of each state. The design method uses a homotopy approach to determine a final design which satisfies both steady-state and dynamic performance criteria. A highly interacting single stage forced circulation evaporator system, including control loops, was designed by this method with the goal of reducing the time taken for the liquid composition to reach steady-state. Initially the system was successfully redesigned to speed up the eigenvalue associated with the liquid composition state, but this did not result in an improved startup performance. Further analysis showed that the integral action of the composition controller was the source of the limiting eigenvalue. Design changes made to speed up this eigenvalue did result in an improved startup performance. The proposed approach provides a structured way to address the design-control interface, giving significant insight into the dynamic behaviour of the system such that a systematic design or redesign of an existing system can be undertaken with confidence.