25 resultados para manufacturing system
em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"
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In the minimization of tool switches problem we seek a sequence to process a set of jobs so that the number of tool switches required is minimized. In this work different variations of a heuristic based on partial ordered job sequences are implemented and evaluated. All variations adopt a depth first strategy of the enumeration tree. The computational test results indicate that good results can be obtained by a variation which keeps the best three branches at each node of the enumeration tree, and randomly choose, among all active nodes, the next node to branch when backtracking.
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This article describes the application of an Artificial Intelligence Planner in a robotized assembly cell that can be integrated to a Flexible Manufacturing System. The objective is to allow different products to be automatically assembled in a single production line with no pre-established assembly plans. The planner function is to generate action plans to the robot, in real time, from two input information: the initial state (disposition of parts of the product in line) and the final state (configuration of the assembled product). Copyright © 2007 IFAC.
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This work presents challenges and solutions for the teaching and learning of automation applied to integrated manufacturing by means of a methodological approach based on techniques, tools and industrial equipment directly applicable in the industry. The approach was implemented in a control and automation engineering course divided into expositive and laboratory classes. Since the success of the approach is mainly from the practical activities, the article focus more on activities developed in laboratory than theorical classes. Copyright © 2007 IFAC.
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In recent decades, two research themes have been prominent in the academic and organizational setting: lean manufacturing and green management. Since 1996, when Florida (1996) wrote an article focusing on the synergy between these two areas, the debate if “Lean is Green?” enters in the academic field. It is in this context that this research presents the results of a systematic literature on the topic, focusing on the characteristics, positive and negative impacts, lean paradigms, green paradigms and design of supply chains. To perform this procedure it were followed the methodological footsteps of Lage Junior and Godinho Filho (2010). The research occurred in the database Scopus and it was conducted from June, 2012 to July, 2012.The key word used was “green lean” and as search filter it were included only articles and conference Papers. Their main result is a deep analysis of the accumulated knowledge on the subject, where it is revealed that the majority of studies point to the synergy between some components of the lean manufacturing system in relation to environmental management. The research gap found is related to articles that address the entropy of the union of lean and green systems.
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A partir de reflexão sobre uma hipotética transição do capitalismo em sua natureza manufatureira ao socialismo, procura-se deixar marcada a razão pela qual, seguindo a proposta de Marx, essa transição exige que a produção se realize sob a égide da maquinaria. Consegue-se, como parte dessa reflexão, identificar, para o caso da manufatura, um trade-off entre eficiência produtiva e humanização das atividades de trabalho. Procura-se esclarecer que, dada a natureza do taylorismo-fordismo como reinvenção da manufatura, o exercício de início especulativo passa a ter sentido histórico. Busca-se argumentar que a ampla assimilação do taylorismo-fordismo pela experiência de implantação do socialismo na União Soviética a aprisionou ao mencionado trade-off , fazendo com que a primeira experiência de superação do capitalismo se impregnasse perversamente da mediocridade imanente ao taylorismo-fordismo. Finalmente, são feitos rápidos comentários acerca dos desdobramentos da recente automação de base microeletrônica sobre a natureza de um projeto socialista.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Geografia - IGCE
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Pós-graduação em Odontologia - FOA
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The interaction between industry and university is often discussed. Industry participants feel they do not have enough time to spend with academics because of tight deadlines to achieve your goals. The other hand, professors and his students do not have availability and resources for responding quickly to industry activities. Both sides recognize the associated problems and feel the consequences of various forms. One way to reduce the distance between them is to provide industrial labs that resemble the factory floor at the university. Thus not only students may work on a real technological base, but also the industry's problems can be brought to the university laboratory. To ensure that relevant industrial problems will be studied, the industry needs help in the formulation of the problem being researched. The graduate program of Automation and Control Engineering from UNESP Sorocaba is aimed at training human resources with skills in automation and control activities related to the development of automatic control processes, integrating electronic commands, intelligent manufacturing and industrial robotics. In order to achieve its objectives, one of the pillars of the university consists of a wide range of modern equipments and software for industrial automation, which allows the circuit assembly from most primitive until configuration and programming of a complex system of integrated manufacturing. This paper describes industrial automation equipments and laboratory structure offered to students of Control and Automation Engineering graduate program at UNESP Sorocaba as alternative to close technologies and real problems on the job until academic world. The strategic is to do students understand theory and operations in robotic and industrial automation by means to manipulating real production systems locate at university
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This paper presents a study on the development of a manufacturing system of printed circuit boards through copper milling. An advantage of this system is the replacement of chemical processes by physical process presenting a sustainable solution. The paper uses programs that will generate G-code needed to establish the coordinates where the milling forms the tracks. After obtaining the code, it will be transformed into steps that will be sent through the serial port to the microcontroller and the serial communication control will be in software. After obtaining information the microcontroller will execute the movement of the stepper motors through their drivers, H-bridge, the microcontroller also drives the spindle motor responsible for rotating the grinding tool, using a driver with a optocoupler and TRIAC
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This graduation work presents the implementation of the key concepts of lean thinking in a maintenance workshop of rotating equipment, analyzing all the administrative and workshop processes. The pursuit of quality and client satisfaction at lower costs has generated a lot of competition between organizations, which use the practices of lean manufacturing as tools for processes improvement, aiming to eliminate wastes, being this, the work objective. And, unlike a manufacturing system, where the product goes through certain stages until its conclusion, the workshop does not have a default sequence that is repeated routinely on all machines. Thus, it demonstrates a possibility of application of lean tools in a different way of the common used in the lean manufacturing
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Always seeking the maximum profit under the reduced production time and lower number of failures, companies are increasingly evolving and going after continuous improvement in order to remain competitive in the market. Thus, increasingly there is investment in the management system Lean manufacturing. Lean system is very important, because through it, the maximum value is added in the final product. Being measured by the efficiency and reducing failures to zero. In the studied company, Lean manufacturing system came into effect through the kanban system for purchasing, control and distribution of bulk material used in the assembly of the final product, which are earth-moving machines. It is very important to check the great change made in the company with the implementation of kanban. All inventory management becomes visual, elements are arranged in an organized manner, with addresses in structures, calculated in special boxes and finally, assemblers have the guarantee of an item supply, with the distribution cars located on their assembly area. This study participates effectively assuring the supply. Avoiding any failure on the lack of material, non-compliance of delivery times to the customer and maintenance of over-stock or obsolete inventory, in which case both cause financial loss to the company
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This article describes the use of Artificial Intelligence (IA) techniques applied in cells of a manufacturing system. Machine Vision was used to identify pieces and their positions of two different products to be assembled in the same productive line. This information is given as input for an IA planner embedded in the manufacturing system. Therefore, initial and final states are sent automatically to the planner capable to generate assembly plans for a robotic cell, in real time.
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An intelligent system that emulates human decision behaviour based on visual data acquisition is proposed. The approach is useful in applications where images are used to supply information to specialists who will choose suitable actions. An artificial neural classifier aids a fuzzy decision support system to deal with uncertainty and imprecision present in available information. Advantages of both techniques are exploited complementarily. As an example, this method was applied in automatic focus checking and adjustment in video monitor manufacturing. Copyright © 2005 IFAC.
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This work involved the development of a smart system dedicated to surface burning detection in the grinding process through constant monitoring of the process by acoustic emission and electrical power signals. A program in Visual Basic® for Windows® was developed, which collects the signals through an analog-digital converter and further processes them using burning detection algorithms already known. Three other parameters are proposed here and a comparative study carried out. When burning occurs, the newly developed software program sends a control signal warning the operator or interrupting the process, and delivers process information via the Internet. Parallel to this, the user can also interfere in the process via Internet, changing parameters and/or monitoring the grinding process. The findings of a comparative study of the various parameters are also discussed here. Copyright © 2006 by ABCM.