159,419 research outputs found

    Evaluation of ammunition and fuel supply systems of a Turkish armored battalion during mobilization and deployment using simulation

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    Cataloged from PDF version of article.In current wars, supply systems have become vital factors to reach military success. With improvements in technology, the capabilities and means of military units have also improved and as a result, the supply materials which military units require have also increased greatly. The timely delivery of supply materials to the combatant units is the key to success. The delivery of supply materials to combatant units at the right time and as needed can only be possible with the efficient planning of supply systems by staff officers. The insufficient evaluation of supply systems will cause interruptions in delivery of supply materials to combatant units and consequently prevent the combatant units from accomplishing their tasks. In this study, the existing ammunition and fuel supply systems of an armored battalion before alarm order is evaluated via simulation. By using the simulation models which were coded for existing systems, commanders will have the capability to detect potential problems and take precautions. The main objectives of this study are: (1) To evaluate existing systems via simulation because of difficulties in executing real world systems due to impediments in creating real world conditions and also economic reasons. (2) To detect the factors which have significant effects on the existing system. (3) To foresee the probable problems of the existing system by studying the simulation model outputs using statistical methods. (4) To select the most critical region of Turkey according to performance measures of interest. The codes of models are created by using ARENA 3.0 simulation program and SIMAN programming language.Özçevik, AydınM.S

    The integrated use of enterprise and system dynamics modelling techniques in support of business decisions

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    Enterprise modelling techniques support business process re-engineering by capturing existing processes and based on perceived outputs, support the design of future process models capable of meeting enterprise requirements. System dynamics modelling tools on the other hand are used extensively for policy analysis and modelling aspects of dynamics which impact on businesses. In this paper, the use of enterprise and system dynamics modelling techniques has been integrated to facilitate qualitative and quantitative reasoning about the structures and behaviours of processes and resource systems used by a Manufacturing Enterprise during the production of composite bearings. The case study testing reported has led to the specification of a new modelling methodology for analysing and managing dynamics and complexities in production systems. This methodology is based on a systematic transformation process, which synergises the use of a selection of public domain enterprise modelling, causal loop and continuous simulationmodelling techniques. The success of the modelling process defined relies on the creation of useful CIMOSA process models which are then converted to causal loops. The causal loop models are then structured and translated to equivalent dynamic simulation models using the proprietary continuous simulation modelling tool iThink

    Continuum Modeling and Simulation in Bone Tissue Engineering

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    Bone tissue engineering is currently a mature methodology from a research perspective. Moreover, modeling and simulation of involved processes and phenomena in BTE have been proved in a number of papers to be an excellent assessment tool in the stages of design and proof of concept through in-vivo or in-vitro experimentation. In this paper, a review of the most relevant contributions in modeling and simulation, in silico, in BTE applications is conducted. The most popular in silico simulations in BTE are classified into: (i) Mechanics modeling and sca old design, (ii) transport and flow modeling, and (iii) modeling of physical phenomena. The paper is restricted to the review of the numerical implementation and simulation of continuum theories applied to di erent processes in BTE, such that molecular dynamics or discrete approaches are out of the scope of the paper. Two main conclusions are drawn at the end of the paper: First, the great potential and advantages that in silico simulation o ers in BTE, and second, the need for interdisciplinary collaboration to further validate numerical models developed in BTE.Ministerio de Economía y Competitividad del Gobierno España DPI2017-82501-

    Modelling drug coatings: A parallel cellular automata model of ethylcellulose-coated microspheres

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    Pharmaceutical companies today face a growing demand for more complex drug designs. In the past few decades, a number of probabilistic models have been developed, with the aim of improving insight on microscopic features of these complex designs. Of particular interest are models of controlled release systems, which can provide tools to study targeted dose delivery. Controlled release is achieved by using polymers with different dissolution characteristics. We present here an approach for parallelising a large-scale model of a drug delivery system based on Monte Carlo methods, as a framework for Cellular Automata mobility. The model simulates drug release in the gastro-intestinal tract, from coated ethylcellulose microspheres. The objective is high performance simulation of coated drugs for targeted delivery. The overall aim is to understand the importance of various molecular effects with respect to system evolution over time. Important underlying mechanisms of the process, such as erosion and diffusion, are described

    3D multi-agent models for protein release from PLGA spherical particles with complex inner morphologies

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    In order to better understand and predict the release of proteins from bioerodible micro- or nanospheres, it is important to know the influences of different initial factors on the release mechanisms. Often though it is difficult to assess what exactly is at the origin of a certain dissolution profile. We propose here a new class of fine-grained multi-agent models built to incorporate increasing complexity, permitting the exploration of the role of different parameters, especially that of the internal morphology of the spheres, in the exhibited release profile. This approach, based on Monte-Carlo (MC) and Cellular Automata (CA) techniques, has permitted the testing of various assumptions and hypotheses about several experimental systems of nanospheres encapsulating proteins. Results have confirmed that this modelling approach has increased the resolution over the complexity involved, opening promising perspectives for future developments, especially complementing in vitro experimentation
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