Diseño de un Plan de Mercadeo para Slip Ltda. Asesores de Seguros

El propósito general de este documento es realizar un plan de mercadeo que ayude a mantener e incrementar el número de clientes de la empresa, traduciéndose esto en un incremento progresivo de las ventas de la compañía Slip Ltda. A través del diseño y generación de estrategias de mercadeo basadas en la explotación del portafolio de servicios actuales así como la ampliación de la gama de seguros ofrecidos actualmente por la empresa con el fin último de atraer un mayor número de nuevos clientes, evitar la posible absorción de la compañía por parte de otras empresas multinacionales, asegurar la sostenibilidad del negocio a través del tiempo y la optimización de las utilidades de la organización a través de las primas devengadas. Por consiguiente, el trabajo consiste en: Analizar el entorno económico de la empresa Slip Ltda. Mostrando la situación actual del sector y analizando las oportunidades y amenazas que se presentan, identificación de los nichos de mercado objetivo hacia los cuales se dirigirán las estrategias y los servicios que se buscarán potenciar, exploración de la capacidad de la empresa de generar valor agregado a sus clientes, definición de estrategias y tácticas que orienten a la compañía a obtener resultados a partir de las herramientas del marketing mix y planteamiento y establecimiento de un calendario para la aplicación de las estrategias junto con la proyección del presupuesto requerido para ello.

Liderazgo transformacional y cambio organizacional en una empresa de transporte privado en Cartagena de Indias

El presente trabajo de grado se define desde el punto de vista metodol6gico como una aproximaci6n significativa al modelo organizacional transformacional y transaccional de la empresa, mediante un proceso de implementaci6n concreta en un estudio de caso de la empresa colombiana HB & CIA. LTDA, con miras al mejoramiento cualitativo y cuantitativo ideal de la misma. Desde esta perspectiva, el proyecto se divide en tres grandes ejes: la formulaci6n y delimitaci6n del problema, en donde se presenta un analisis detallado de todos los problemas relacionados con el cambio organizaci6n y con la necesidad de un trabajo de liderazgo, como una via para la soluci6n de los mismos. El segundo eje, presenta el desarrollo del estudio de caso, partiendo del diagn6stico de la empresa, con el fin de que se identificaran las debilidades, oportunidades, amenazas y fortalezas. El estudio de caso se circunscribe al marco te6rico en terminos del deber ser y hacer de la organizaci6n, de la visi6n y la misi6n que debe orientar la organizaci6n y del liderazgo transformacional como un medio para solucionar problemas de gesti6n y optimizaci6n de los recursos dentro de una organizaci6n.

Diagnóstico del Tratado de Libre Comercio de Estados Unidos frente a las estrategias de internacionalización para las PYME de Colombia hacia Maryland y Massachusetts

La firma de Tratados de Libre Comercio se ha convertido en una influencia para el desarrollo de investigaciones que permitan determinar y evidenciar oportunidades que lleven al incremento de la balanza comercial lo cual entraña a su vez una serie de retos en cuanto a la competencia de las empresas locales en mercados foráneos para la exportación de productos y servicios más allá de las materias primas y la importación de ciertos bienes para la especialización y optimización en procesos operativos. El estudio de los antecedentes del TLC entre Colombia y Estados Unidos es fundamental para comenzar el diagnóstico del proyecto, de modo tal que se identifique el impacto que ha tenido a través del tiempo este acuerdo y la influencia que produce en los sectores económicos en Colombia el comportamiento de esta relación en la actualidad. Es necesario identificar las oportunidades de las PYME en Colombia, especialmente en las exportaciones hacia los estados de Maryland y Massachusetts; y determinar la demanda que se puede llegar a suplir en estos estados por parte de las PYMES de nuestro país, basados en las importaciones actuales que se están generando por parte de los mismos desde el mundo entero tomando como referencia Wiser y Trademap, bases de datos de comercio exterior.

Simplificação de processos com cartão de cidadão

Na sociedade moderna, o uso de novas tecnologias e das correspondentes aplicações informáticas, levanta diversas questões, sendo, sem dúvida a mais importante, a segurança dos utilizadores e dos sistemas. A implementação de novos processos fazendo uso dos meios informáticos disponíveis permite o aumento da produtividade e a sua simplificação sem perder a fiabilidade, através da desmaterialização, desburocratização, acessibilidade, rapidez de execução, comodidade e segurança. A introdução do cartão de cidadão com todas a sua potencialidade contribui para a implementação dos processos acima referidos, os quais acompanharam a evolução do quadro legislativo nacional e europeu. Contudo verificam-se algumas lacunas, devido à sua imaturidade, sendo o seu desenvolvimento um processo ainda em curso. Com o presente trabalho pretende-se criar uma solução aberta a várias aplicações, que permite a optimização de processos através da sua simplificação, com recurso à assinatura digital, autenticação e uso de dados pessoais, tendo em atenção a legislação vigente, o actual cartão de cidadão e os requisitos de segurança. ABSTRACT: ln modern society, the increasing application of information technologies have arisen several questions, being the private and sensitive data security the most important. Today new informatics processes have come to increase productivity using faster and simplified mechanisms, keeping reliability and security. The introduction in Portugal, of the new citizen card is a great example of the above mentioned, in accordance with the National and European legislation. Nevertheless, being recently adopted, it stills vulnerable and therefore is in constant update and revision. The purpose of this thesis is the creation of an open solution to other new applications, aiming a simplification and optimization of citizen card. Seeking the maximum security, it is utilized digital signature, authentication and personal details, always according to the legislation in effect.

Deposition of thin films by a non-equilibrium atmospheric pressure Plasma Jet: a poly-diagnostic study

The use of atmospheric pressure plasmas for thin film deposition on thermo-sensitive materials is currently one of the main challenges of the plasma scientific community. Despite the growing interest in this field, the existing knowledge gap between gas-phase reaction mechanisms and thin film properties is still one of the most important barriers to overcome for a complete understanding of the process. In this work, thin films surface characterization techniques, combined with passive and active gas-phase diagnostic methods, were used to provide a comprehensive study of the Ar/TEOS deposition process assisted by an atmospheric pressure plasma jet. SiO2-based thin films exhibiting a well-defined chemistry, a good morphological structure and high uniformity were studied in detail by FTIR, XPS, AFM and SEM analysis. Furthermore, non-intrusive spectroscopy techniques (OES, filter imaging) and laser spectroscopic methods (Rayleigh scattering, LIF and TALIF) were employed to shed light on the complexity of gas-phase mechanisms involved in the deposition process and discuss the influence of TEOS admixture on gas temperature, electron density and spatial-temporal behaviours of active species. The poly-diagnostic approach proposed in this work opens interesting perspectives both in terms of process control and optimization of thin film performances.

Innovation in conceptual design of chemical processes

Nowadays, the chemical industry has reached significant goals to produce essential components for human being. The growing competitiveness of the market caused an important acceleration in R&D activities, introducing new opportunities and procedures for the definition of process improvement and optimization. In this dynamicity, sustainability is becoming one of the key aspects for the technological progress encompassing economic, environmental protection and safety aspects. With respect to the conceptual definition of sustainability, literature reports an extensive discussion of the strategies, as well as sets of specific principles and guidelines. However, literature procedures are not completely suitable and applicable to process design activities. Therefore, the development and introduction of sustainability-oriented methodologies is a necessary step to enhance process and plant design. The definition of key drivers as support system is a focal point for early process design decisions or implementation of process modifications. In this context, three different methodologies are developed to support design activities providing criteria and guidelines in a sustainable perspective. In this framework, a set of key Performance Indicators is selected and adopted to characterize the environmental, safety, economic and energetic aspects of a reference process. The methodologies are based on heat and material balances and the level of detailed for input data are compatible with available information of the specific application. Multiple case-studies are defined to prove the effectiveness of the methodologies. The principal application is the polyolefin productive lifecycle chain with particular focus on polymerization technologies. In this context, different design phases are investigated spanning from early process feasibility study to operative and improvements assessment. This flexibility allows to apply the methodologies at any level of design, providing supporting guidelines for design activities, compare alternative solutions, monitor operating process and identify potential for improvements.

A ROS-based software architecture for a versatile collaborative dual-armed autonomous mobile robot for the manufacturing industry

The industrial context is changing rapidly due to advancements in technology fueled by the Internet and Information Technology. The fourth industrial revolution counts integration, flexibility, and optimization as its fundamental pillars, and, in this context, Human-Robot Collaboration has become a crucial factor for manufacturing sustainability in Europe. Collaborative robots are appealing to many companies due to their low installation and running costs and high degree of flexibility, making them ideal for reshoring production facilities with a short return on investment. The ROSSINI European project aims to implement a true Human-Robot Collaboration by designing, developing, and demonstrating a modular and scalable platform for integrating human-centred robotic technologies in industrial production environments. The project focuses on safety concerns related to introducing a cobot in a shared working area and aims to lay the groundwork for a new working paradigm at the industrial level. The need for a software architecture suitable to the robotic platform employed in one of three use cases selected to deploy and test the new technology was the main trigger of this Thesis. The chosen application consists of the automatic loading and unloading of raw-material reels to an automatic packaging machine through an Autonomous Mobile Robot composed of an Autonomous Guided Vehicle, two collaborative manipulators, and an eye-on-hand vision system for performing tasks in a partially unstructured environment. The results obtained during the ROSSINI use case development were later used in the SENECA project, which addresses the need for robot-driven automatic cleaning of pharmaceutical bins in a very specific industrial context. The inherent versatility of mobile collaborative robots is evident from their deployment in the two projects with few hardware and software adjustments. The positive impact of Human-Robot Collaboration on diverse production lines is a motivation for future investments in research on this increasingly popular field by the industry.

Development of processes for the valorization of lignocellulosic biomass based on renewable energies

The world grapples with climate change from fossil fuel reliance, prompting Europe to pivot to renewable energy. Among renewables, biomass is a bioenergy and bio-carbon source, used to create high-value biomolecules, replacing fossil-based products. Alkyl levulinates, derived from biomass, hold promise as bio-additives and biofuels, especially via acid solvolysis of hexose sugars, necessitating further exploration. Alkyl levulinate's potential extends to converting into γ-valerolactone (GVL), a bio-solvent produced via hydrogenation with molecular-hydrogen. Hydrogen, a key reagent and energy carrier, aids renewable energy integration. This thesis delves into a biorefinery system study, aligning with sustainability goals, integrating biomass valorization, energy production, and hydrogen generation. It investigates optimizing technologies for butyl levulinate production and subsequent GVL hydrogenation. Sustainability remains pivotal, reflecting the global shift towards renewable and carbon bio-resources. The research initially focuses on experimenting with the optimal technology for producing butyl levulinate from biomass-derived hexose fructose. It examines the solvolysis process, investigating optimal conditions, kinetic modeling, and the impact of solvents on fructose conversion. The subsequent part concentrates on the technological aspect of hydrogenating butyl levulinate into GVL. It includes conceptual design, simulation, and optimization of the fructose-to-GVL process scheme based on process intensification. In the final part, the study applies the process to a real case study in Normandy, France, adapting it to local biomass availability and wind energy. It defines a methodology for designing and integrating the energy-supply system, evaluating different scenarios. Sustainability assessment using economic, environmental, and social indicators culminates in an overall sustainability index, indicating scenarios integrating the GVL biorefinery system with wind power and hydrogen energy storage as promising due to high profitability and reduced environmental impact. Sensitivity analyses validate the methodology's reliability, potentially extending to other technological systems.

Multi-mode communications in near field exploiting OAM properties

This dissertation analyzes the exploitation of the orbital angular momentum (OAM) of the electromagnetic waves with large intelligent surfaces in the near-field region and line-of-sight conditions, in light of the holographic MIMO communication concept. Firstly, a characterization of the OAM-based communication problem is presented, and the relationship between OAM-carrying waves and communication modes is discussed. Then, practicable strategies for OAM detection using large intelligent surfaces and optimization methods based on beam focusing are proposed. Numerical results characterize the effectiveness of OAM with respect to other strategies, also including the proposed detection and optimization methods. It is shown that OAM waves constitute a particular choice of communication modes, i.e., an alternative basis set, which is sub-optimum with respect to optimal basis functions that can be derived by solving eigenfunction problems. Moreover, even the joint utilization of OAM waves with focusing strategies led to the conclusion that no channel capacity achievements can be obtained with these transmission techniques.

Dalla Sintesi di Leganti Polimerici alla Realizzazione di Adesivi da Parquet

This final report is part of a research project by Kerakoll S.P.A aimed to the realization and optimization of hybrid adhesive for the parquet using hybrid polyurethane silanizated (STPU). Hybrid polymers belong to polyurethane polymers which undergo an hybridization process where the classic isocyanate groups are converted into a alkoxysilylether terminated chain. The aim of this thesis was to realize hybrid polymers with specific proprieties compared to the indexes wanted by the company; another goal of this project was to use this polymers STPU to realize adhesive for the parquet which should be competitive in the adhesive market. All activities were carried out in a chemistry laboratory with specific tools for the synthesis of polymers and characterization of the finals products. The study led to two prototypes; the second was obtained thanks to the use of the experimental design procedure known as DOE (Design Of Experiment), a recently acquired approach by the company, which allows the rationalization of the formulas and the creation of a database that can be extended and implemented indefinitely.

Machine Learning in Automatic Tabulation for Constraint Model Reformulation

Combinatorial decision and optimization problems belong to numerous applications, such as logistics and scheduling, and can be solved with various approaches. Boolean Satisfiability and Constraint Programming solvers are some of the most used ones and their performance is significantly influenced by the model chosen to represent a given problem. This has led to the study of model reformulation methods, one of which is tabulation, that consists in rewriting the expression of a constraint in terms of a table constraint. To apply it, one should identify which constraints can help and which can hinder the solving process. So far this has been performed by hand, for example in MiniZinc, or automatically with manually designed heuristics, in Savile Row. Though, it has been shown that the performances of these heuristics differ across problems and solvers, in some cases helping and in others hindering the solving procedure. However, recent works in the field of combinatorial optimization have shown that Machine Learning (ML) can be increasingly useful in the model reformulation steps. This thesis aims to design a ML approach to identify the instances for which Savile Row’s heuristics should be activated. Additionally, it is possible that the heuristics miss some good tabulation opportunities, so we perform an exploratory analysis for the creation of a ML classifier able to predict whether or not a constraint should be tabulated. The results reached towards the first goal show that a random forest classifier leads to an increase in the performances of 4 different solvers. The experimental results in the second task show that a ML approach could improve the performance of a solver for some problem classes.

Solid Lipid Nanoparticles For Hydrophilic Biotech Drugs: Optimization And Cell Viability Studies (caco-2 & Hepg-2 Cell Lines).

Insulin was used as model protein to developed innovative Solid Lipid Nanoparticles (SLNs) for the delivery of hydrophilic biotech drugs, with potential use in medicinal chemistry. SLNs were prepared by double emulsion with the purpose of promoting stability and enhancing the protein bioavailability. Softisan(®)100 was selected as solid lipid matrix. The surfactants (Tween(®)80, Span(®)80 and Lipoid(®)S75) and insulin were chosen applying a 2(2) factorial design with triplicate of central point, evaluating the influence of dependents variables as polydispersity index (PI), mean particle size (z-AVE), zeta potential (ZP) and encapsulation efficiency (EE) by factorial design using the ANOVA test. Therefore, thermodynamic stability, polymorphism and matrix crystallinity were checked by Differential Scanning Calorimetry (DSC) and Wide Angle X-ray Diffraction (WAXD), whereas the effect of toxicity of SLNs was check in HepG2 and Caco-2 cells. Results showed a mean particle size (z-AVE) width between 294.6 nm and 627.0 nm, a PI in the range of 0.425-0.750, ZP about -3 mV, and the EE between 38.39% and 81.20%. After tempering the bulk lipid (mimicking the end process of production), the lipid showed amorphous characteristics, with a melting point of ca. 30 °C. The toxicity of SLNs was evaluated in two distinct cell lines (HEPG-2 and Caco-2), showing to be dependent on the concentration of particles in HEPG-2 cells, while no toxicity in was reported in Caco-2 cells. SLNs were stable for 24 h in in vitro human serum albumin (HSA) solution. The resulting SLNs fabricated by double emulsion may provide a promising approach for administration of protein therapeutics and antigens.

Optimization of the Enzymatic Interesterification of Milk Fat and Canola Oil Blends Using Immobilized Rhizopus oryzae Lipase by Response Surface Methodology

Blends of milk fat and canola oil (MF:CNO) were enzymatically interesterified (EIE) by Rhizopus oryzne lipase immobilized on polysiloxane-polyvinyl alcohol (SiO(2)-PVA) composite, in a solvent-free system. A central composite design (CCD) was used to optimize the reaction, considering the effects of different mass fractions of binary blends of MF:CNO (50:50, 65:35 and 80:20) and temperatures (45, 55 and 65 degrees C) on the composition and texture properties of the interesterified products, taking the interesterification degree (ID) and consistency (at 10 degrees C) as response variables. For the ID variable both mass fraction of milk fat in the blend and temperature were found to be significant, while for the consistency only mass fraction of milk fat was significant. Empiric models for ID and consistency were obtained that allowed establishing the best interesterification conditions: blend with 65 % of milk fat and 35 %, of canola oil, and temperature of 45 degrees C. Under these conditions, the ID was 19.77 %) and the consistency at 10 degrees C was 56 290 Pa. The potential of this eco-friendly process demonstrated that a product could be obtained with the desirable milk fat flavour and better spreadability under refrigerated conditions.

Multidisciplinary optimization of a catamaran's hydrofoil design with dynamic response surface and distributive processing

This paper presents a rational approach to the design of a catamaran's hydrofoil applied within a modern context of multidisciplinary optimization. The approach used includes the use of response surfaces represented by neural networks and a distributed programming environment that increases the optimization speed. A rational approach to the problem simplifies the complex optimization model; when combined with the distributed dynamic training used for the response surfaces, this model increases the efficiency of the process. The results achieved using this approach have justified this publication.

Estimation of the thickness and the optical parameters of several stacked thin films using optimization

The reverse engineering problem addressed in the present research consists of estimating the thicknesses and the optical constants of two thin films deposited on a transparent substrate using only transmittance data through the whole stack. No functional dispersion relation assumptions are made on the complex refractive index. Instead, minimal physical constraints are employed, as in previous works of some of the authors where only one film was considered in the retrieval algorithm. To our knowledge this is the first report on the retrieval of the optical constants and the thickness of multiple film structures using only transmittance data that does not make use of dispersion relations. The same methodology may be used if the available data correspond to normal reflectance. The software used in this work is freely available through the PUMA Project web page (http://www.ime.usp.br/similar to egbirgin/puma/). (C) 2008 Optical Society of America