842 resultados para Gain planning


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There are several factors that affect piglet survival and this has a bearing on sow productivity. Ten variables that influence pre-weaning vitality were analysed using records from the Pig Industry Board, Zimbabwe. These included individual piglet birth weight, piglet origin (nursed in original litter or fostered), sex, relative birth weight expressed as standard deviation units, sow parity, total number of piglets born, year and month of farrowing, within-litter variability and the presence of stillborn or mummified littermates. The main factors that influenced piglet mortality were fostering, parity and within-litter variability especially the weight of the individual piglet relative to the average of the litter (P<0.05). Presence of a mummified or stillborn littermate, which could be a proxy for unfavourable uterine environment or trauma during the birth process, did not influence pre-weaning mortality. Variability within a litter and the deviation of the weight of an individual piglet from the litter mean, influenced survival to weaning. It is, therefore, advisable for breeders to include uniformity within the litter as a selection criterion. The recording of various variables by farmers seems to be a useful management practice to identify piglets at risk so as to establish palliative measures. Further, farmers should know which litters and which piglets within a litter are at risk and require more attention.

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KAM is a computer program that can automatically plan, monitor, and interpret numerical experiments with Hamiltonian systems with two degrees of freedom. The program has recently helped solve an open problem in hydrodynamics. Unlike other approaches to qualitative reasoning about physical system dynamics, KAM embodies a significant amount of knowledge about nonlinear dynamics. KAM's ability to control numerical experiments arises from the fact that it not only produces pictures for us to see, but also looks at (sic---in its mind's eye) the pictures it draws to guide its own actions. KAM is organized in three semantic levels: orbit recognition, phase space searching, and parameter space searching. Within each level spatial properties and relationships that are not explicitly represented in the initial representation are extracted by applying three operations ---(1) aggregation, (2) partition, and (3) classification--- iteratively.

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Autonomous vehicles are increasingly being used in mission-critical applications, and robust methods are needed for controlling these inherently unreliable and complex systems. This thesis advocates the use of model-based programming, which allows mission designers to program autonomous missions at the level of a coach or wing commander. To support such a system, this thesis presents the Spock generative planner. To generate plans, Spock must be able to piece together vehicle commands and team tactics that have a complex behavior represented by concurrent processes. This is in contrast to traditional planners, whose operators represent simple atomic or durative actions. Spock represents operators using the RMPL language, which describes behaviors using parallel and sequential compositions of state and activity episodes. RMPL is useful for controlling mobile autonomous missions because it allows mission designers to quickly encode expressive activity models using object-oriented design methods and an intuitive set of activity combinators. Spock also is significant in that it uniformly represents operators and plan-space processes in terms of Temporal Plan Networks, which support temporal flexibility for robust plan execution. Finally, Spock is implemented as a forward progression optimal planner that walks monotonically forward through plan processes, closing any open conditions and resolving any conflicts. This thesis describes the Spock algorithm in detail, along with example problems and test results.

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We develop an extension to the tactical planning model (TPM) for a job shop by the third author. The TPM is a discrete-time model in which all transitions occur at the start of each time period. The time period must be defined appropriately in order for the model to be meaningful. Each period must be short enough so that a job is unlikely to travel through more than one station in one period. At the same time, the time period needs to be long enough to justify the assumptions of continuous workflow and Markovian job movements. We build an extension to the TPM that overcomes this restriction of period sizing by permitting production control over shorter time intervals. We achieve this by deriving a continuous-time linear control rule for a single station. We then determine the first two moments of the production level and queue length for the workstation.

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We address the problem of jointly determining shipment planning and scheduling decisions with the presence of multiple shipment modes. We consider long lead time, less expensive sea shipment mode, and short lead time but expensive air shipment modes. Existing research on multiple shipment modes largely address the short term scheduling decisions only. Motivated by an industrial problem where planning decisions are independent of the scheduling decisions, we investigate the benefits of integrating the two sets of decisions. We develop sequence of mathematical models to address the planning and scheduling decisions. Preliminary computational results indicate improved performance of the integrated approach over some of the existing policies used in real-life situations.

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This paper presents a control strategy for blood glucose(BG) level regulation in type 1 diabetic patients. To design the controller, model-based predictive control scheme has been applied to a newly developed diabetic patient model. The controller is provided with a feedforward loop to improve meal compensation, a gain-scheduling scheme to account for different BG levels, and an asymmetric cost function to reduce hypoglycemic risk. A simulation environment that has been approved for testing of artificial pancreas control algorithms has been used to test the controller. The simulation results show a good controller performance in fasting conditions and meal disturbance rejection, and robustness against model–patient mismatch and errors in meal estimation

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This is a 13 min 10 second audio recording produced by the University of Southampton. The podcast is designed to help students develop their skills in planning their academic work in writing assignments and essays. You can choose from an MP3 version or WMA version of this item. A transcript of the audio recording is also provided.

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Esta investigación acerca de lecciones empresariales de perdurabilidad se basa en el caso de Industria de Calzado Jovical, reconocida empresa del sector de la industria del cuero y calzado en Colombia. A lo largo del documento se tienen en cuenta tres momentos en la historia de esta compañía: Antes, durante y después de las crisis de los años 90 resultado de la difícil situación económica que vivía el país ocasionada por la contracción de la demanda. Esta investigación tiene como objetivo principal identificar las causas que llevaron a la crisis a Industria de Calzado Jovical y además aprender cómo esta organización logró alcanzar la ruta de la perdurabilidad después de sobrepasar esta crisis. Este trabajo, se desarrolló con la colaboración del Sr. Cesar Jaramillo Gerente General de Industria de Calzado Jovical, quien nos brindó su ayuda para el trabajo de campo permitiendo tener una mejor visión y entender el problema en su totalidad. Se plantea un proceso de observación y posterior análisis con el fin de entender cómo fue que la empresa entró en estado de crisis y también como logró mitigarlo, convirtiéndose en una empresa perdurable hasta la actualidad. Teniendo en cuenta las situaciones que condujeron a la empresa a la crisis y su comportamiento a nivel interno, externo y del mercado. Además se realiza un acercamiento a la gestión de sus líderes y las estrategias utilizadas por estos, basadas en testimonios y experiencias. Para efectos de este documento se propone seguir el lineamiento planteado por la Universidad del Rosario en el que se divide la gestión administrativa de una empresa en Dirección y Gerencia, los cuales serán los argumentos centrales de esta investigación con el fin de explicar los motivos del fracaso que están asociados a cada uno de los componentes esenciales de la gestión administrativa, y es en este punto donde se buscan las fallas para lograr visualizar las estrategias implantadas por la compañía Industria de Calzado Jovical para conseguir ese resurgir en la industria de calzado.

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A presentation on planning and presenting research seminars for SOES 6018. This module aims to ensure that MSc Oceanography, MSc Marine Science, Policy & Law and MSc Marine Resource Management students are equipped with the skills they need to function as professional marine scientists, in addition to / in conjuction with the skills training in other MSc modules. The module covers training in fieldwork techniques, communication & research skills, IT & data analysis and professional development.

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This guide will give you advice on picking your subject, question and methodology for an extended essay. It will also give you hints and tips on how to research for and structure the essay.

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A presentation from 2009 on who to enable staff to plan workshops within the School.

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This resource was designed for use with MSc Web Scientists as an introduction to a coursework that requires them to produce some teaching materials.

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