967 resultados para Single commodity inventory problems
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We consider entry of additional firms into the market for a single commodity in which both sellers and buyers are permitted to interact strategically. We show that the market is quasi-competitive, in that the inclusion of an additional seller lowers the price and increases the volume of trade, as expected. However, whilst buyers benefit from this change under reasonable conditions on preferences, we cannot conclude that sellers are always made worse off in the face of more intense competition, contrary to the conventional wisdom. We characterize the conditions under which entry by new sellers may raise the equilibrium profit of existing sellers, which will depend in an intuitive way on the elasticity of a strategic analog of demand and the market share of existing sellers, and encompass completely standard economic environments.
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This paper investigates dynamic completeness of financial markets in which the underlying risk process is a multi-dimensional Brownian motion and the risky securities dividends geometric Brownian motions. A sufficient condition, that the instantaneous dispersion matrix of the relative dividends is non-degenerate, was established recently in the literature for single-commodity, pure-exchange economies with many heterogenous agents, under the assumption that the intermediate flows of all dividends, utilities, and endowments are analytic functions. For the current setting, a different mathematical argument in which analyticity is not needed shows that a slightly weaker condition suffices for general pricing kernels. That is, dynamic completeness obtains irrespectively of preferences, endowments, and other structural elements (such as whether or not the budget constraints include only pure exchange, whether or not the time horizon is finite with lump-sum dividends available on the terminal date, etc.)
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This thesis answers some important questions about how Fair Trade is experienced and perceived by some Northern sellers, consumers, activists, advocates, practitioners, and an importer. As it relates to sellers, I focus only on small scale independent businesses (i.e. I do not include large corporate businesses in my interview sample). Fair Trade works to establish a dignified livelihood for many producers in the South. Some of the most important actors in the Fair Trade movement are the people who buy, sell, and/or advocate for Fair Trade in the North. Fair Trade is largely a consumer movement which relies on the purchase of Fair Trade products. Without consumers purchasing Fair Trade products, retailers providing the products for sale, and activists raising awareness of Fair Trade, the movement, as it is presently constituted, would be non-existent. This qualitative research is based on 19 in-depth i.nterviews with nine interviewees involved with Fair Trade in Canada. I focus on benefits, challenges, and limitations of Fair Trade in the context of their involvement with it. I describe and analyze how people become involved with Fair Trade, what motivates them to do so, what they hope to achieve, and the benefits of being involved. I also describe and analyze how people understand and deal with any challenges and limitations associated with their involvement with Fair Trade. I also explore whether involvement with Fair Trade influences how people think about other products that they purchase and, if so, in what ways. I focus mainly on the commodity of coffee, but my discussion is not limited to this single commodity. Interviewees' experiences with and participation in Fair Trade vary in terms of their level of involvement and interest in the broader Fair Trade movement (as opposed to just participating in the market component). This research reveals that while Fair Trade is a small movement, sellers, consumers, and activists have had much success in the advancement of Fair Trade. While challenges have not deterred interviewees from continuing to participate in Fair Trade, analysis and explanation of such challenges provides the opportunity for Fair Trade practitioners to develop effective solutions in an effort to meet the needs of various Fair Trade actors.
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Metabolic disorders are a key problem in the transition period of dairy cows and often appear before the onset of further health problems. They mainly derive from difficulties the animals have in adapting to changes and disturbances occurring both outside and inside the organisms and due to varying gaps between nutrient supply and demand. Adaptation is a functional and target-oriented process involving the whole organism and thus cannot be narrowed down to single factors. Most problems which challenge the organisms can be solved in a number of different ways. To understand the mechanisms of adaptation, the interconnectedness of variables and the nutrient flow within a metabolic network need to be considered. Metabolic disorders indicate an overstressed ability to balance input, partitioning and output variables. Dairy cows will more easily succeed in adapting and in avoiding dysfunctional processes in the transition period when the gap between nutrient and energy demands and their supply is restricted. Dairy farms vary widely in relation to the living conditions of the animals. The complexity of nutritional and metabolic processes Animals 2015, 5 979 and their large variations on various scales contradict any attempts to predict the outcome of animals’ adaptation in a farm specific situation. Any attempts to reduce the prevalence of metabolic disorders and associated production diseases should rely on continuous and comprehensive monitoring with appropriate indicators on the farm level. Furthermore, low levels of disorders and diseases should be seen as a further significant goal which carries weight in addition to productivity goals. In the long run, low disease levels can only be expected when farmers realize that they can gain a competitive advantage over competitors with higher levels of disease.
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The paper analyzes a two period general equilibrium model with individual risk and moral hazard. Each household faces two individual states of nature in the second period. These states solely differ in the household's vector of initial endowments, which is strictly larger in the first state (good state) than in the second state (bad state). In the first period households choose a non-observable action. Higher leveis of action give higher probability of the good state of nature to occur, but lower leveIs of utility. Households have access to an insurance market that allows transfer of income across states of oature. I consider two models of financiaI markets, the price-taking behavior model and the nonlínear pricing modelo In the price-taking behavior model suppliers of insurance have a belief about each household's actíon and take asset prices as given. A variation of standard arguments shows the existence of a rational expectations equilibrium. For a generic set of economies every equilibrium is constraíned sub-optímal: there are commodity prices and a reallocation of financiaI assets satisfying the first period budget constraint such that, at each household's optimal choice given those prices and asset reallocation, markets clear and every household's welfare improves. In the nonlinear pricing model suppliers of insurance behave strategically offering nonlinear pricing contracts to the households. I provide sufficient conditions for the existence of equilibrium and investigate the optimality properties of the modeI. If there is a single commodity then every equilibrium is constrained optimaI. Ir there is more than one commodity, then for a generic set of economies every equilibrium is constrained sub-optimaI.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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In multi-label classification, examples can be associated with multiple labels simultaneously. The task of learning from multi-label data can be addressed by methods that transform the multi-label classification problem into several single-label classification problems. The binary relevance approach is one of these methods, where the multi-label learning task is decomposed into several independent binary classification problems, one for each label in the set of labels, and the final labels for each example are determined by aggregating the predictions from all binary classifiers. However, this approach fails to consider any dependency among the labels. Aiming to accurately predict label combinations, in this paper we propose a simple approach that enables the binary classifiers to discover existing label dependency by themselves. An experimental study using decision trees, a kernel method as well as Naive Bayes as base-learning techniques shows the potential of the proposed approach to improve the multi-label classification performance.
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We consider an uncertain version of the scheduling problem to sequence set of jobs J on a single machine with minimizing the weighted total flow time, provided that processing time of a job can take on any real value from the given closed interval. It is assumed that job processing time is unknown random variable before the actual occurrence of this time, where probability distribution of such a variable between the given lower and upper bounds is unknown before scheduling. We develop the dominance relations on a set of jobs J. The necessary and sufficient conditions for a job domination may be tested in polynomial time of the number n = |J| of jobs. If there is no a domination within some subset of set J, heuristic procedure to minimize the weighted total flow time is used for sequencing the jobs from such a subset. The computational experiments for randomly generated single-machine scheduling problems with n ≤ 700 show that the developed dominance relations are quite helpful in minimizing the weighted total flow time of n jobs with uncertain processing times.
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Much has been written about the potential impact of Lean Agile paradigm on firm's supply chain performance. However, most of the existing studies mainly pointed out Lean is for cost reduction, whereas Agility is for attaining flexibility. There are little empirical studies in literature that examined how Lean Agile paradigm impacts on supply chain performance. This paper aims to address this gap by studying the influence of Lean and Agility paradigms on a single commodity supply chain delivery performance in the aerospace industry. Data was collected from four separate 'Rigid pipes' supply chains to study how manufacturing alignment impacts on the delivery performance. Implications of the study to practitioners and academia are discussed and future research outlined.
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In - Service Management Concepts: Implications for Hospitality Management – a study by K. Michael Haywood, Associate Professor, School of Hotel and Food Administration, University of Guelph, Ontario, Canada, Associate Professor Haywood initially proffers: “The study and application of hospitality management has progressed on its own for many years; however, managers are not immune to the knowledge gained from study of other service industries. The author synthesizes what is happening in the area of service management, looks at its relevance to hospitality management, and identifies a few important implications of service management for hospitality managers.” The author draws a distinction between non-denominated service management, and service management as it applies to the hospitality industry. This is done to make an apparent comparison, as many people would assume the two are one in the same. They are not, and the contrast works well here. “While much of what we already know about effective management applies to service industries, some of the traditional concepts of management are inadequate in solving the problems faced by service businesses,” Haywood points out. “If a body of knowledge to be known as service management already exists, or is being developed, where does it fit relative to hospitality management,” Haywood asks. According to John Bateson, Testing a Conceptual Framework for Consumer Service Marketing, there are four criteria used to judge service management. Haywood details these for you, the reader, by way of citation. Haywood points to the difficulty in pin-pointing the intangibles that underpin the service industry. Since service is a concept rather than a touchable good, such as inventory, problems arise for both the organization and the client. Haywood points to a classic study of four service industries in France to illustrate the problems, although no realistic suggestions address the issues. “Over the past few years a variety of system models have been developed to explain the service process, that is, how the service is designed, produced, delivered, and consumed,” Haywood offers. These models are depicted in Appendices A-E. In offering perspectives on how the hospitality industry can gain from the experiences of service management, Haywood observes: “Service management places particular emphasis on a strategic outlook. Hospitality firms would be wise to carefully examine how they are perceived in the marketplace vis-a-vis their service concept, position, competitive situation, and management’s leadership abilities.” “Learning from the experiences of other service firms can help keep a company on track, that is, providing needed and valued services,” he closes the thought.
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Many classical as well as modern optimization techniques exist. One such modern method belonging to the field of swarm intelligence is termed ant colony optimization. This relatively new concept in optimization involves the use of artificial ants and is based on real ant behavior inspired by the way ants search for food. In this thesis, a novel ant colony optimization technique for continuous domains was developed. The goal was to provide improvements in computing time and robustness when compared to other optimization algorithms. Optimization function spaces can have extreme topologies and are therefore difficult to optimize. The proposed method effectively searched the domain and solved difficult single-objective optimization problems. The developed algorithm was run for numerous classic test cases for both single and multi-objective problems. The results demonstrate that the method is robust, stable, and that the number of objective function evaluations is comparable to other optimization algorithms.
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Este proyecto de investigación es un estudio de factibilidad de importación del calzado para dama desde China para la empresa colombiana Kenzo Jeans a través del cual se evalúan a profundidad estrategias en producto, precio y distribución para que la empresa valore la conveniencia del proceso. El objetivo de esta investigación es generar herramientas y estrategias necesarias para que la empresa logre tener una visión más completa al importar calzado desde China para la distribución en el mercado colombiano. Este estudio se realizó con el fin de brindar información para que la gerencia pueda tomar decisiones correctas, eliminando el desconocimiento que pueda generar mayor incertidumbre al involucrarse en un proceso de importación. Para llevar a cabo este proceso se determinaron unos criterios de evaluación y selección mínimos respecto al diseño del producto, precio, calidad, número de unidades mínimas para realizar el pedido, empaque y etiquetado con el que debían contar los posibles proveedores en China. Esto se realizó a través de un acercamiento a los potenciales proveedores y permitió filtrar a aquellos que podrían cumplir con los criterios exigidos por Kenzo Jeans. Una vez realizado el proceso de clasificación y selección se logró determinar que existe potencial en la importación de calzado de dama desde China. Hecho este proceso se sugiere a Kenzo Jeans realizar contacto directo con estas empresas a través de un posible viaje de negocios.
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QUESTIONS UNDER STUDY: the main purpose of this longitudinal study was to determine the impact of risky single occasion drinking (RSOD) frequency on alcohol dependence and drinking consequences reported 15 months later. METHODS: As a baseline sample, 5,990 young men were assessed on their drinking habits including the frequency of RSOD. Of them, 5,196 were reassessed at follow-up 15 months later on RSOD frequency, alcohol dependence and alcohol related consequences in thze interceding year. Drop out biases were investigated. RESULTS: Around 45% of the baseline participants reported regular RSOD (every month or more frequently). Despite the fact that RSOD distribution was generally stable during the initial sample, 47.4% reported a variation of their RSOD frequency 15 months later. Around 25% of the sample reported reduced RSOD frequency. Nonetheless, occasional RS drinkers were more likely to become regular (monthly) RSO drinkers at follow up. Daily and weekly RSOD were associated with high proportions of alcohol dependence and detrimental consequences of drinking. Surprisingly, abstainers at baseline were more likely to be at risk of alcohol dependence and consequences at follow up than non-RSO drinkers. CONCLUSIONS: Despite the fact that alcohol abstinence is logically the best way to avoid the detrimental consequences of alcohol drinking, abstainers at baseline reported as many problems due to alcohol use at follow up as occasional or monthly RSO drinkers. The few participants who had become RSO drinkers during the follow up period were indeed likely to engage in detrimental behaviour. Non-RSO drinkers had the fewest problems due to alcohol use. This substantiates the early occurrence of drinking consequences among inexperienced RSO drinkers.
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Objective To analyze the reliability and validity of the psychometric properties of the Brazilian version of the instrument for symptom assessment, titled MD Anderson Symptom Inventory - core. Method A cross-sectional study with 268 cancer patients in outpatient treatment, in the municipality of Ijuí, state of Rio Grande do Sul, Brazil. Results The Cronbach’s alpha for the MDASI general, symptoms and interferences was respectively (0.857), (0.784) and (0.794). The factor analysis showed adequacy of the data (0.792). In total, were identified four factors of the principal components related to the symptoms. Factor I: sleep problems, distress (upset), difficulties in remembering things and sadness. Factor II: dizziness, nausea, lack of appetite and vomiting. Factor III: drowsiness, dry mouth, numbness and tingling. Factor IV: pain, fatigue and shortness of breath. A single factor was revealed in the component of interferences with life (0.780), with prevalence of activity in general (59.7%), work (54.9%) and walking (49.3%). Conclusion The Brazilian version of the MD Anderson Symptom Inventory - core showed adequate psychometric properties in the studied population.
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The Christo Inventory for Substance-Misuse Services (CISS) is a single page outcome evaluation tool completed by drug alcohol service workers either on the basis of direct client interviews or of personal experience of their client supplemented by existing assessment notes. It was developed to assist substance misuse services to empirically demonstrate the effectiveness of their treatments to their respective funding bodies. Its 0 to 20 unidimensional scale consists of 10 items reflecting clients' problems with social functioning, general health, sexual/injecting risk behavior, psychological functioning, occupation, criminal involvement, drug/alcohol use, ongoing support, compliance, and working relationships. Good reliability and validity has already been demonstrated for the CISS [Christo et al., Drug and Alcohol Dependence 2000; 59: 189-197] but the original was written in English and a Portuguese version is presented here. The present review explores its applicability to a Brazilian setting, summarizes its characteristics and uses, and describes the process of translation to Portuguese. A pilot study conducted in a substance misuse service for adolescents indicated it is likely to be suitable for use among a Brazilian population. The simplicity, flexibility and brevity of the CISS make it a useful tool allowing comparison of clients within and between many different service settings.