Assessing the quality of tests : Revision of the EFPA review model

Resumen tomado de la publicación

Gestão de stocks aplicada a uma instituição de saúde privada

A gestão de stocks tem-se tornado uma ferramenta fundamental na racionalização de custos das empresas permitindo uma maior eficiência operacional. Os modelos de gestão de stocks procuram ajudar a determinar as quantidades a encomendar e quando encomendar, com um custo total de aprovisionamento mínimo. Este trabalho visa o estudo da gestão de stocks, dos modelos existentes e a aplicação de um deles num prestador de saúde, em particular, na área da imagiologia. Neste estudo optou-se por efectuar a classificação ABC dos produtos e posteriormente procurou-se definir o modelo de gestão de stocks que melhor se adeqúe à realidade empresarial em estudo de modo a manter o nível de stock correcto associado a um menor custo. Optou-se pelo modelo de revisão periódica de stocks que permite efectuar a encomenda sempre com o mesmo intervalo de tempo e efectuar ajustes nas quantidades necessárias. Com base nos dados fornecido efectuou-se uma previsão da procura e assim definiram-se as quantidades a encomendar, bem como o stock de segurança necessário. Implementaram-se as quantidades e o stock de segurança e efectuou-se uma avaliação dos resultados obtidos e analisou-se o impacto da gestão de stocks no prestador de saúde.

Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: The Finite Horizon Case

We analyze a finite horizon, single product, periodic review model in which pricing and production/inventory decisions are made simultaneously. Demands in different periods are random variables that are independent of each other and their distributions depend on the product price. Pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged. Ordering cost includes both a fixed cost and a variable cost proportional to the amount ordered. The objective is to find an inventory policy and a pricing strategy maximizing expected profit over the finite horizon. We show that when the demand model is additive, the profit-to-go functions are k-concave and hence an (s,S,p) policy is optimal. In such a policy, the period inventory is managed based on the classical (s,S) policy and price is determined based on the inventory position at the beginning of each period. For more general demand functions, i.e., multiplicative plus additive functions, we demonstrate that the profit-to-go function is not necessarily k-concave and an (s,S,p) policy is not necessarily optimal. We introduce a new concept, the symmetric k-concave functions and apply it to provide a characterization of the optimal policy.

Coordinating Inventory Control and Pricing Strategies with Random Demand and Fixed Ordering Cost: the Infinite Horizon Case

We analyze an infinite horizon, single product, periodic review model in which pricing and production/inventory decisions are made simultaneously. Demands in different periods are identically distributed random variables that are independent of each other and their distributions depend on the product price. Pricing and ordering decisions are made at the beginning of each period and all shortages are backlogged. Ordering cost includes both a fixed cost and a variable cost proportional to the amount ordered. The objective is to maximize expected discounted, or expected average profit over the infinite planning horizon. We show that a stationary (s,S,p) policy is optimal for both the discounted and average profit models with general demand functions. In such a policy, the period inventory is managed based on the classical (s,S) policy and price is determined based on the inventory position at the beginning of each period.

Capacidades dinámicas; la fuente de sostenibilidad ante el cambio

Las capacidades dinámicas constituyen un aporte importante a la estrategia empresarial. De acuerdo con esta premisa se desarrolla el siguiente documento, al reconocer que la generación de competencias se consolida como la base teórica para el logro de sostenibilidad ante eventos de cambio que puedan afectar la estabilidad y la toma de decisiones de las organizaciones. Dada la falta de aplicación empírica del concepto se ha elaborado este paper, en el que se demuestran e identifican las herramientas que la aplicación empiríca puede dar a las organizaciones y los instrumentos que proveen para la generación de valor. A través del caso de estudio ASOS.COM se ejemplifica la necesidad de detección y aprovechamiento de oportunidades y amenazas, así como la reconfiguración, renovación y generación de competencias de segundo orden para enfrentar el cambio. De esta manera por medio de las habilidades creadas al interior de las empresas con enfoque en el aprendizaje e innovación se logra la comprensión del negocio y el afianzamiento de mejores escenarios futuros.

Capacidades dinámicas que influyen en la operación de la Red de Turismo de La Candelaria

El desarrollo de la presente investigación, centra su atención en las capacidades dinámicas que influyen en la operación de la Red de Turismo de La Candelaria de Bogotá. Para este fin, se realizó una encuesta a 100 directivos o dueños de las empresas que conforman dicha red, y que es una muestra significativa para los propósitos de la investigación, puesto que permite describir a nivel de la empresa y a nivel de la red, la influencia de las capacidades dinámicas de absorción, adaptación e innovación. Como resultados, se obtuvieron que al nivel de empresas las tres capacidades dinámicas influyen en la operación de la misma, encontrándose una mayor relación entre las capacidades de “Innovación – Adaptación"; a nivel de red empresarial ocurre lo contrario, puesto que la relación de las capacidades dinámicas de “Innovación – Adaptación” es nula, mientras que las relaciones entre “Absorción – Innovación” y “Absorción – Adaptación” poseen una alta relación para la operación de la red. Lo anterior, se deriva del análisis realizado de los datos tabulados de la encuesta aplicada a las empresas de la red de turismo, con los estudios empíricos hallados que proponen escalas de medición para las capacidades dinámicas de absorción, adaptación e innovación, y el marco teórico elaborado como soporte para la presente investigación.

INVENTORY CONTROL SYSTEM : Optimization of production system and reliability

The main idea of this research to solve the problem of inventory management for the paper industry SPM PVT limited. The aim of this research was to find a methodology by which the inventory of raw material could be kept at minimum level by means of buffer stock level.The main objective then lies in finding the minimum level of buffer stock according to daily consumption of raw material, finding the Economic Order Quantity (EOQ) reorders point and how much order will be placed in a year to control the shortage of raw material.In this project, we discuss continuous review model (Deterministic EOQ models) that includes the probabilistic demand directly in the formulation. According to the formula, we see the reorder point and the order up to model. The problem was tackled mathematically as well as simulation modeling was used where mathematically tractable solution was not possible.The simulation modeling was done by Awesim software for developing the simulation network. This simulation network has the ability to predict the buffer stock level based on variable consumption of raw material and lead-time. The data collection for this simulation network is taken from the industrial engineering personnel and the departmental studies of the concerned factory. At the end, we find the optimum level of order quantity, reorder point and order days.

Sialoglycoconjugates in Trypanosoma cruzi-host cell interaction: possible biological model - a review

A number of glycoconjugates, including glycolipids and glycoproteins, participate in the process of host-cell invasion by Trypanosoma cruzi and one of the most important carbohydrates involved on this interaction is sialic acid. It is known that parasite trans-sialidase participates with sialic acid in a coordinated fashion in the initial stages of invasion. Given the importance of these sialogycoconjugates, this review sets out various possible biological models for the interaction between the parasite and mammalian cells that possess a sialylated receptor/ligand system.

Review of the Primary Schools' General Allocation Model

The allocation of additional teaching resources to schools under the terms of the General Allocation Model (GAM) was intended to make possible the development of inclusive primary schools; ensure that primary schools have a means of providing additional teaching support to pupils with learning difficulties and special educational needs arising from high incidence disabilities without recourse to making applications on behalf of individual pupils and included additional teaching time that was previously allocated for learning-support teaching as well as an allocation of additional teaching time for what was termed resource teaching for pupils with special educational needs arising from high incidence disabilities.

Review on polyhydroxyalkanoate formation in the model plant Arabidopsis thaliana

In order to explore potential alternatives to the production of polyhydroxyalkanoates (PHAs) in bacteria, the enzymes of Alcaligenes eutrophus involved in the synthesis of polyhydroxybutyrate (PHB) have been expressed in the model plant Arabidopsis thaliana. Following the successful production of low amounts of high molecular weight PHB in plants expressing the acetoacetyl-CoA reductase and the PHB synthase in the cytoplasm of Arabidopsis cell, expression of the PHB pathway in the pastids was achieved by modifying the PHB enzymes with plastid targeting signals. This strategy resulted in a significant increase in the formation of PHB in Arabidopsis, with a maximum of 14% of the leaf dry weight . The increase in PHB production is most likely due to the higher flux in the plastids of acetyl-CoA, the precursor for PHB synthesis. A detailed study of metabolic fluxes in Arabidopsis plants producing high levels of PHB could help to determine the potential problems and limitations of PHB synthesis in Arabidopsis and could be useful for optimising strategies for the production of PHB in crop plants. The knowledge on PHB production could also be used for the production of PHAs other than PHB. Apart from PHB, no other PHAs have been produced in an eukaryotic system. Arabidopsis will therefore be used as a model system for the production in eukaryotes of more complex PHAs, such as poly(hydroxybutyrate-co-hydroxyvylerate) or medium-chain-lenght-PHAs.

Recent advances in monocular model-based tracking: a systematic literature review

In this paper, we review the advances of monocular model-based tracking for last ten years period until 2014. In 2005, Lepetit, et. al, [19] reviewed the status of monocular model based rigid body tracking. Since then, direct 3D tracking has become quite popular research area, but monocular model-based tracking should still not be forgotten. We mainly focus on tracking, which could be applied to aug- mented reality, but also some other applications are covered. Given the wide subject area this paper tries to give a broad view on the research that has been conducted, giving the reader an introduction to the different disciplines that are tightly related to model-based tracking. The work has been conducted by searching through well known academic search databases in a systematic manner, and by selecting certain publications for closer examination. We analyze the results by dividing the found papers into different categories by their way of implementation. The issues which have not yet been solved are discussed. We also discuss on emerging model-based methods such as fusing different types of features and region-based pose estimation which could show the way for future research in this subject.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.

Model of Big Data Failure: Review of Information System Failure

In the new age of information technology, big data has grown to be the prominent phenomena. As information technology evolves, organizations have begun to adopt big data and apply it as a tool throughout their decision-making processes. Research on big data has grown in the past years however mainly from a technical stance and there is a void in business related cases. This thesis fills the gap in the research by addressing big data challenges and failure cases. The Technology-Organization-Environment framework was applied to carry out a literature review on trends in Business Intelligence and Knowledge management information system failures. A review of extant literature was carried out using a collection of leading information system journals. Academic papers and articles on big data, Business Intelligence, Decision Support Systems, and Knowledge Management systems were studied from both failure and success aspects in order to build a model for big data failure. I continue and delineate the contribution of the Information System failure literature as it is the principal dynamics behind technology-organization-environment framework. The gathered literature was then categorised and a failure model was developed from the identified critical failure points. The failure constructs were further categorized, defined, and tabulated into a contextual diagram. The developed model and table were designed to act as comprehensive starting point and as general guidance for academics, CIOs or other system stakeholders to facilitate decision-making in big data adoption process by measuring the effect of technological, organizational, and environmental variables with perceived benefits, dissatisfaction and discontinued use.