Auswahl der wissenschaftlichen Literatur zum Thema „Product assembly (Optimization)“
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Zeitschriftenartikel zum Thema "Product assembly (Optimization)":
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Jiang, Zhao Liang, Si Si Xuanyuan, Zhao Qian Li und Xiang Xu Meng. „Optimization of Product Assembly Relations Based on Connection Reliability“. Key Engineering Materials 431-432 (März 2010): 289–92. http://dx.doi.org/10.4028/www.scientific.net/kem.431-432.289.
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Enhancing the reliability of product becomes one of the most important ways to perfect its quality. Based on the traditional reliability definition, the definition of assembly connection reliability is presented to describe the connection ability of two assembled parts firstly. Then, the design method based on assembly connection reliability is proposed and a new step-by-step mathematical model for assigning assembly reliability to the parts and sub-systems is established. Based on the model, design scheme oriented assembly reliability is optimized.
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Li, Zhi, und Zhao Liang Jiang. „Multi-Objective Optimization of Multi-Mixed-Model Assembly Lines Sequencing Problem“. Applied Mechanics and Materials 321-324 (Juni 2013): 2110–15. http://dx.doi.org/10.4028/www.scientific.net/amm.321-324.2110.
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Multi-mixed model assembly lines (MMMALs) sequencing cooperative optimization is a typical problem that a variety of products models are assembled in multiple assembly lines. It extends the traditional products sequencing from MMAL to MMMALs. In this paper, we pose products assembly sequencing in multi-mixed model assembly lines (MMMALs) as a multiple-objective optimization problem with the objectives to minimize consumption waviness of each material in the lines, total setup cost and finished product inventory cost. The multi-objective optimization algorithm based on NSGAII is designed. Computational experiment has been demonstrated to the applicability of using NSGAII to solve the problem and effectiveness of the proposed approach. By means of this research, the valid solutions for products assembly sequence can be offered to the decision makers effectively.
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Kumar, Vishwa V., Salik R. Yadav, F. W. Liou und S. N. Balakrishnan. „A Digital Interface for the Part Designers and the Fixture Designers for a Reconfigurable Assembly System“. Mathematical Problems in Engineering 2013 (2013): 1–13. http://dx.doi.org/10.1155/2013/943702.
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This paper presents a web-based framework for interfacing product designers and fixture designers to fetch the benefits of early supplier involvement (ESI) to a reconfigurable assembly system (RAS). The interfacing of the two members requires four steps, namely, collaboration chain, fixture supplier selection, knowledge share, and accommodation of service facilities so as to produce multiple products on a single assembly line. The interfacing not only provokes concurrency in the activities of product and fixture designer but also enables the assembly systems to tackle the spatial and generational variety. Among the four stages of interfacing, two steps are characterized by optimization issues, one from the product customer side and the other from the fixture designer side. To impart promptness in the optimization and hence the interaction, computationally economic tools are also presented in the paper for both of the supplier selection and fixture design optimization.
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Li, Zhi, Zhao Liang Jiang, Wen Ping Liu und Yu Mei Liu. „A Non-Dominated Sorting Particle Swarm Optimization Algorithm For Mixed-Model Assembly Line Sequencing Problem“. Advanced Materials Research 628 (Dezember 2012): 451–57. http://dx.doi.org/10.4028/www.scientific.net/amr.628.451.
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Mixed-model assembly line (MMAL) sequencing is a typical problem that various models of a common base product are assembled on the same line. In this paper, we proposed products assembly sequencing in mixed-model assembly lines as a multiple-objective optimization problem with the objectives to minimize material consumption waviness, the total setup cost, and total task overlapped time. These three objectives are typically inversely correlated with each other, and simultaneously optimization of the three objectives is challenging. The multi-objective optimization algorithm based on non-dominated sorting particle swarm optimization (NSPSO) is designed. We conduct an extensive experiment study in which the performance of the proposed NSPSO is compared against non-dominated genetic algorithm (NSGA II). The computational results show that the proposed NSPSO outperforms NSGA II, significantly in large-sized problems.
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Rosyidi, Cucuk, Rina Murtisari und Wakhid Jauhari. „A concurrent optimization model for supplier selection with fuzzy quality loss“. Journal of Industrial Engineering and Management 10, Nr. 1 (19.04.2017): 98. http://dx.doi.org/10.3926/jiem.800.
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Purpose: The purpose of this research is to develop a concurrent supplier selection model to minimize the purchasing cost and fuzzy quality loss considering process capability and assembled product specification.Design/methodology/approach: This research integrates fuzzy quality loss in the model to concurrently solve the decision making in detailed design stage and manufacturing stage.Findings: The resulted model can be used to concurrently select the optimal supplier and determine the tolerance of the components. The model balances the purchasing cost and fuzzy quality loss.Originality/value: An assembled product consists of many components which must be purchased from the suppliers. Fuzzy quality loss is integrated in the supplier selection model to allow the vagueness in final assembly by grouping the assembly into several grades according to the resulted assembly tolerance.
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Qiu, H. B., Y. Y. Dong, Y. Wang und L. Gao. „Tolerance Optimization Design Based on Physical Programming Methods and PSO Algorithm“. Advanced Materials Research 346 (September 2011): 584–92. http://dx.doi.org/10.4028/www.scientific.net/amr.346.584.
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Product tolerance is one of the key factors which can determine the good or bad performance of mechanical products. Its size not only affects the manufacturing and assembly process, but also affects product features [1]. Thus tolerance optimization design gets more and more attention. In this paper, an improved physical programming method is used to make mathematical modeling for tolerance allocation problem of assembly dimensional chain, and PSO algorithm is also used to improve solving ability. And the effective solution for tolerance optimization is designed.
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Şeker, Şükran, Mesut Özgürler und Mehmet Tanyaş. „A Weighted Multiobjective Optimization Method for Mixed-Model Assembly Line Problem“. Journal of Applied Mathematics 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/531056.
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Mixed-model assembly line (MMAL) is a type of assembly line where several distinct models of a product are assembled. MMAL is applied in many industrial environments today because of its greater variety in demand. This paper considers the objective of minimizing the work overload (i.e., the line balancing problem) and station-to-station product flows. Generally, transportation time between stations are ignored in the literature. In this paper, Multiobjective Mixed-Integer Programming (MOMIP) model is presented to optimize these two criteria simultaneously. Also, this MOMIP model incorporates a practical constraint that allows to add parallel stations to assembly line to decrease higher station time. In the last section, MOMIP is applied to optimize the cycle time and transportation time simultaneously in mixed-model assembly line of a real consumer electronics firm in Turkey, and computational results are presented.
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Zhang, Wei, Luling An, Peter Sherar und Wei Tian. „Posture Optimization Algorithm for Large Structure Assemblies Based on Skin Model“. Mathematical Problems in Engineering 2018 (18.10.2018): 1–12. http://dx.doi.org/10.1155/2018/9680639.
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Geometric deviations inevitably occur in product manufacturing and seriously affect the assembly quality and product functionality. Assembly simulations on the basis of computer-aided design (CAD) package could imitate the assembly process and thus find out the design deficiencies and detect the assemblability of the components. Although lots of researches have been done on the prediction of assembly variation considering the geometric errors, most of them only simplify the geometric variation as orientation and position deviation rather than the manufacturing deformation. However, in machinery manufacturing, even if the manufacturing defects are limited, they could propagate and accumulate through components and lead to a noncompliant assembly. Recently, many point-based models have been applied to assembly simulation; however they are mainly interested in simulating the resulting positions of the assembled parts and lack the consideration of the postprocessing after positioning. This paper enriches the complete assembly simulation process based on skin model and presents a simple and effective posture evaluation and optimization method. The studied approach includes a software algorithm applied to evaluate the contact state of the assembly parts and a mathematical model based on the particle swarm optimization to acquire the optimal assembly posture. To verify the efficiency and feasibility of the proposed method, a case study on the aircraft wing box scaling model assembly is performed.
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Tang, Jianjun, Xitian Tian und Junhao Geng. „Sensitivity Analysis of Deviation Source for Fast Assembly Precision Optimization“. Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/148360.
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Assembly precision optimization of complex product has a huge benefit in improving the quality of our products. Due to the impact of a variety of deviation source coupling phenomena, the goal of assembly precision optimization is difficult to be confirmed accurately. In order to achieve optimization of assembly precision accurately and rapidly, sensitivity analysis of deviation source is proposed. First, deviation source sensitivity is defined as the ratio of assembly dimension variation and deviation source dimension variation. Second, according to assembly constraint relations, assembly sequences and locating, deviation transmission paths are established by locating the joints between the adjacent parts, and establishing each part’s datum reference frame. Third, assembly multidimensional vector loops are created using deviation transmission paths, and the corresponding scalar equations of each dimension are established. Then, assembly deviation source sensitivity is calculated by using a first-order Taylor expansion and matrix transformation method. Finally, taking assembly precision optimization of wing flap rocker as an example, the effectiveness and efficiency of the deviation source sensitivity analysis method are verified.
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Tsung, Chen-Kun, Tseng-Fung Ho, Hsuan-Yu Huang, Shu-Hui Yang, Po-Nien Tsou, Ming-Cheng Tsai und Yi-Ping Huang. „Computing the Assembly Guidance for Maximizing Product Quality in the Virtual Assembly“. Sustainability 12, Nr. 11 (08.06.2020): 4690. http://dx.doi.org/10.3390/su12114690.
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Assembly is the final process of manufacturing, and a good assembly plan reduces the effect of the tolerance generated in the early stages by the tolerance elimination. In the current assembly lines, the assemblers pick up the workpieces and install them together by the assembly instructions. When the workpieces are oversize or undersize, the product can not be installed correctly. Therefore, the assembler considers the secondary processing to fix the tolerance and then installs them together again. The product could be installed, but the product quality may be reduced by the secondary process. So, we formulate the assembly process as a combinatorial optimization problem, named by the dimensional chain assembly (DCA) problem. Given some workpieces with the corresponding actual size, computing the assembly guidance is the goal of the DCA problem, and the product quality is applied to represent the solution quality. The assemblers follow the assembly guidance to install the products. We firstly prove that the DCA problem is NP-complete and collect the requirements of solving the DCA problem from the implementation perspective: the sustainability, the minimization of computation time, and the guarantee of product quality. We consider solution refinement and the solution property inheritance of the single-solution evolution approach to discover and refine the quality of the assembly guidance. Based on the above strategies, we propose the assembly guidance optimizer (AGO) based on the simulated annealing algorithm to compute the assembly guidance. From the simulation results, the AGO reaches all requirements of the DCA problem. The variance of the computation time and the solution quality is related to the problem scale linearly, so the computation time and the solution quality can be estimated by the problem scale. Moreover, increasing the search breadth is unnecessary for improving the solution quality. In summary, the proposed AGO satisfies with the necessaries of the sustainability, the minimization of computation time, and the guarantee of product quality for the requirements of the DCA, and it can be considered in the real-world applications.
Dissertationen zum Thema "Product assembly (Optimization)":
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Pazian, Alexandre. „Proposta de procedimentos de desenvolvimento de suportes aplicados em chassi veicular“. Universidade de São Paulo, 2009. http://www.teses.usp.br/teses/disponiveis/3/3151/tde-11082010-160845/.
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O objetivo deste estudo consiste em obter um procedimento de dimensionamento estrutural otimizado de suportes metálicos utilizados em chassi de veículos comerciais, o qual apresenta, na maioria dos casos, restrições referentes ao projeto do produto e à manufatura. Realizou-se a revisão bibliográfica dos principais métodos de otimização estrutural, abrangendo problemas e soluções relacionadas ao seu uso, e também foram considerados os conceitos do projeto para fabricação e montagem. Foi proposto um procedimento de dimensionamento de suportes estruturais, utilizando a análise de elementos finitos e otimização paramétrica, de forma e topológica. A proposta verifica também itens como estabilidade estrutural, tipo de elemento utilizado e facilidade de fabricação e montagem. O procedimento foi aplicado no estudo de caso do desenvolvimento de um suporte de amortecedor, o qual apresentou falha em campo. Foi possível fazer a representação da falha no suporte com o modelo de elementos finitos e foram propostas estruturas otimizadas, que resolveram a falha e confirmaram a eficácia do procedimento proposto no estudo. Um benefício da aplicação da otimização topológica é a capacidade do método para a obtenção de novas estruturas com menor peso e com aumento da rigidez, considerando ainda as necessidades de fabricação e montagem.The objective of this work is to achieve a procedure for structural design optimized metal brackets used in the chassis of commercial vehicles, which have in the most of the cases limitations related to product design and manufacturing. Was carried out a bibliographic review of structural optimization main methods, covering problems and solutions related to their use, were also considered the concepts of design for manufacture and assembly. It was proposed a procedure for structural brackets design, using the finite element analysis, parametric, shape and topology optimization. The proposal also notes items such as structural stability; type of element used and to improvement of fabrication and assembly. The procedure was applied in the case study to the development of a shock absorber, which has failed in the field. It was possible to represent the brackets failure of support with the finite element model and optimized structures have been proposed to resolve the failure and confirmed the effectiveness of the proposed procedure at work. One application benefit for topology optimization is the ability of the method to obtain new structures with lower weight and higher stiffness level, and considering manufacturing and assembly needs.
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Nishihara, Anderson. „Montagem assistida por realidade aumentada (A3R)“. Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/3/3152/tde-28092016-105248/.
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Processos de montagem em geral necessitam de instruções para serem executados, desde a montagem de simples brinquedos até máquinas complexas. Tradicionalmente, essas instruções vem na forma de manuais em papel ou meio digital. Seja qual for o modo, os manuais de instruções utilizam desenhos, diagramas ou fotos, além de instruções textuais para indicar a sequência de montagem do início até o estado final. Procurando mudar esse paradigma, esse trabalho propõe um sistema para auxílio à montagem que utiliza realidade aumentada para guiar o usuário no processo. Através de processamento de imagens capturadas por uma câmera o sistema reconhece cada peça e por meio de sinais gráficos é indicado ao usuário qual a peça a ser manipulada e onde deve ser posicionada. Em seguida é feito a verificação do posicionamento das peças e o usuário é alertado quando a tarefa de montagem atinge o estado final. Muitos trabalhos na área utilizam algum tipo de dispositivo customizado como \"head mounted display\" (HMD) e marcadores para auxiliar o rastreamento da câmera e identificação das peças, limitando a popularização dessa tecnologia. Tendo esse último ponto em vista, propõe-se um sistema que não utiliza qualquer dispositivo customizado ou marcadores para rastreamento. Além disso, todos os processos do sistema são executados em software embarcado, não necessitando de comunicação com outros computadores para o processamento de imagens. Como o sistema não faz uso de marcadores para a identificação das peças, inicialmente é proposto a implementação do sistema para guiar o usuário na resolução de um quebra-cabeças plano. O sistema proposto é denominado como MARA (Montagem Assistida por Realidade Aumentada).Assembly processes for simple toys or complex machines usually requires instructions to be executed. Traditionally, these instructions are written in the form of paper or digital manuals. These manuals contains descriptive text, photos or diagrams to guide the assembly sequence from the beginning to the final state. To change this paradigm, it is proposed in this work an augmented reality system to guide assembly tasks. The system recognizes each assembly piece through image processing techniques and guides the piece placement with graphic signals. Later, the system checks if the pieces are properly assembled and warns the user when the assembly have been finished. In the field of assembly assisted by augmented reality systems, many works use some kind of customized device, like head mounted displays (HMD). Furthermore, markers have been used to track camera position and identify assembly parts. These two features restrict the spread of the technology, thus in the proposed work customized devices and markers to track and identify parts shall not be used. Besides, all the processing are executed on embedded software without the need of communication with other computers to help image processing. The first implementation of the proposed system assists the user on the assembly of a planar puzzle, as the proposed system do not use markers to recognize assembly pieces. This system is being called A3R (Assembly Assisted by Augmented Reality).
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Doležal, Zbyněk. „Optimalisace výrobně-montážní linky“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2011. http://www.nusl.cz/ntk/nusl-229803.
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This work deals with the way of balancing production-assembly line, which would minimalize set up costs. The production-assembly line shall allow assembling more mutually similar variants of the same product. The time of duration of each operation is constant, but can differs between individual variants of the product. Cycle time is related to the variant of the product.
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Oesterle, Jonathan. „Holistic approach to designing hybrid assembly lines A comparative study of Multi-Objective Algorithms for the Assembly Line Balancing and Equipment Selection Problem under consideration of Product Design Alternatives Evaluation of the influence of dominance rules for the assembly line design problem under consideration of product design alternatives Hybrid Multi-objective Optimization Method for Solving Simultaneously the line Balancing, Equipment and Buffer Sizing Problems for Hybrid Assembly Systems Comparison of Multiobjective Algorithms for the Assembly Line Balancing Design Problem Efficient multi-objective optimization method for the mixed-model-line assembly line design problem Detaillierungsgrad von Simulationsmodellen Rechnergestützte Austaktung einer Mixed-Model Line. Der Weg zur optimalen Austaktung“. Thesis, Troyes, 2017. http://www.theses.fr/2017TROY0012.
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Le travail présenté dans cette thèse concerne la formulation et la résolution de deux problèmes d'optimisation multi-objectifs. Ces problèmes de décision, liés à une approche holistique, ont pour but de sélectionner la meilleure configuration « produit/ligne d’assemblage » à partir d'un ensemble de design produits, et de ressources. Concernant le premier problème, un modèle de coût a été développé afin de traduire les interdépendances complexes entre la sélection d’un design produit et les caractéristiques des ressources. Une étude empirique est proposée et vise à comparer, selon plusieurs indicateurs de qualité multi-objectifs, différentes méthodes de résolution - comprenant des algorithmes génétiques, de colonies de fourmis, d’optimisation par essaims particulaires, des chauves-souris, de recherche du coucou et de pollinisation des fleurs. Plusieurs règles de dominance et une recherche locale spécifique au problème ont été appliquées aux méthodes de résolution les plus prometteuses. Concernant le second problème, qui se penche également sur le dimensionnement des stocks tampons, les méthodes de résolution sont à un modèle de simulation à événements discrets, dont la fonction première est l’évaluation des valeurs des différentes fonctions objectives. L’approche holistique associée aux deux problèmes a été validée avec deux cas industrielsThe work presented in this thesis concerns the formulation and the resolution of two holistic multi-objective optimization problems associated with the selection of the best product and hybrid assembly line configuration out of a set of products, processes and resources alternatives. Regarding the first problem, a cost model was developed in order to translate the complex interdependencies between the selection of specific product designs, processes and resources characteristics. An empirical study is proposed, which aimed at comparing, according to several multi-objective quality indicators, various resolution methods – including variants of evolutionary algorithms, ant colony optimization, particle swarm optimization, bat algorithms, cuckoo search algorithms, and flower-pollination algorithms. Several dominance rules and a problem-specific local search were applied to the most promising resolution methods. Regarding the second problem, which also considers the buffer sizing, the developed algorithms were enhanced with a genetic discrete-event simulation model, whose primary function is to evaluate the value of the various objective functions. The demonstration of the associated resolution frameworks for both problems was validated through two industrial-cases
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Lopes, Thiago Cantos. „Balancing optimization of robotic welding lines: model and case study“. Universidade Tecnológica Federal do Paraná, 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2621.
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FA; UTFPR; RENAULTLinhas robóticas de solda são comuns na indústria automobilística. Durante a produção de um veículo, sua estrutura metálica precisa ser soldada em um único corpo resistente. Isso é feito por meio de centenas de soldas a ponto por resistência, cada uma liga localmente duas ou mais placas metálicas. Distribuir eficientemente esses pontos entre robôs é particularmente desafiador, levando em conta que: cada robôs podem fazer acessar uma parte dos pontos de solda, há tempo de movimentação entre pontos e robôs podem colidir entre si se ocuparem o mesmo espaço físico ao mesmo tempo. Há muitas maneiras factíveis de distribuir pontos de solda. No entanto, cada uma gera um resultado econômico diferente: Se um robô soldar muitos pontos se tornará um gargalo e reduzirá a taxa média de produção.Obter o conjunto de decisões operacionais que gera o melhor desempenho é o objetivo de técnicas de otimização. Há uma ampla variedade de técnicas descritas na literatura de pesquisa operacional e ciência da computação: modelos matemáticos, algoritmos, heurísticas, meta-heurísticas, etc. No contexto industrial, tais técnicas foram adaptadas para diversas variantes de problemas práticos. No entanto, estas adaptações só podem resolver as variantes para as quais foram idealizadas. Se por um lado podem se traçar paralelos entre vários aspectos de linhas robóticas de solda e tais variantes, por outro o conjunto completo de características das linhas estudadas não é tratável por (ou convertível em) nenhuma delas. A presente dissertação desenvolve uma abordagem para otimizar tais linhas, baseada em um modelo de programação linear inteira mista desenvolvido para descrever o problema. Ela também apresenta um estudo de caso para discutir e ilustrar possíveis dificuldades de aplicação e como superá-las. O modelo apresentado foi aplicado a dados de uma linha robótica de solda da fábrica, composta por quarenta e dois robôs, quatro modelos de veículos e mais de setecentos pontos de solda por veículo. A média ponderada da redução em tempo de ciclo obtida pelo modelo foi de 17.5%. Variantes do modelo, concebidas para auxiliar trabalhos futuros, são apresentadas e discutidas.
Robotic welding manufacturing lines are production lines common in automobile industries. During a vehicle's production, the vehicle's metal structure must be welded in a single resistant body. This is made by hundreds of spot-welding points, each of which tie locally two or more metal plates. Efficiently distributing these welding points amongst robots is particularly challenging, taking in account that: not all robots can perform all weld points, robots must move their welding tools between weld points, and robots might interfere with one another if they use the same geometrical space. There are multiple feasible manners to distribute the welding points. However, each of these forms generates different economical results: If a robot performs too many points, it will become a line bottleneck and reduce average throughput. To find the set of operational decisions that yields the best output is the goal of optimization techniques. There are a wide variety of such techniques described in operations research and computer sciences literature: mathematical models, algorithms, heuristics, meta-heuristics, etc. In the industrial context, these techniques were adapted to related line balancing problems. However, these adaptations can only solve the specific variants they were designed to address. While parallels can be drawn between aspects of robotic welding lines and many of such variants, the full combined set of characteristics of the studied lines is not treatable by (or convertible to) any of them. This dissertation develops a framework to optimize such lines, based on mixed-integer linear programing model developed to describe the problem. It also presents a case study to discuss and illustrate possible difficulties and how to overcome them. The presented model was applied to data from the factory's robotic welding lines composed of forty-two robots (divided in thirteen stations), four vehicle models and over seven hundred welding points for each vehicle. The weighted average reduction percentage in cycle time obtained by the model was 17.5%. Model variants, designed to aid further works are presented and discussed.
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Falcão, António Maria Ferreira de Lemos. „Optimization of product assignment to assembly lines“. Master's thesis, 2019. http://hdl.handle.net/1822/64409.
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Dissertação de mestrado em Industrial engineering and ManagementThe work presented in this dissertation was developed in an industrial context integrated in the production control and management department of the Bosch Car Multimedia Portugal S.A – Braga automatic insertion. The problem addressed in this dissertation was finding the best distribution of product families to assign in different lines according to the physical and technical constraints of the assembly lines. In the approach of the problem, it was used tools and techniques of the Operational Research discipline through mathematical modeling, in order to analyze complex situation and obtain more efficient solutions to help in the decision-making process. Based on production data, production needs forecasts and assembly line physical availability, models with different sets of constraints and objective functions were created to present solutions that best fit the question and the specific problem of the present production context. Through specific software that suited the problem, the previously created models were solved, and the solutions were analyzed and evaluated to suit the company’s current needs and for possible and feasible implementation of the solutions.
O trabalho apresentado nesta dissertação foi desenvolvido em contexto industrial integrado no departamento de planeamento e controlo de produção da área de inserção automática da Bosch Car Multimédia Portugal S.A - Braga. O problema abordado nesta dissertação foi encontrar a melhor distribuição de famílias de produtos a alocar nas diferentes linhas de produção de acordo com as suas restrições físicas e técnicas. Na abordagem do problema recorreu-se a técnicas de Investigação Operacional através de modelação matemática, para analisar situações complexas e obter soluções mais eficientes. Tendo como base dados da produção, previsões de necessidades e disponibilidade física da produção, foram criados modelos com diferentes conjuntos de restrições e funções objetivo por forma a apresentar soluções que melhor se adequassem à pergunta e ao problema específico do contexto produtivo presente. Através da utilização de software, foram resolvidos os modelos criados anteriormente, sendo que as soluções foram analisadas e avaliadas para a adequação às necessidades atuais da empresa e para a sua possível e viável implementação.
Bücher zum Thema "Product assembly (Optimization)":
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Salinas-Rodríguez, Sergio G., Juan Arévalo, Juan Manuel Ortiz, Eduard Borràs-Camps, Victor Monsalvo-Garcia, Maria D. Kennedy und Abraham Esteve-Núñez, Hrsg. Microbial Desalination Cells for Low Energy Drinking Water. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781789062120.
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The world's largest demonstrator of a revolutionary energy system in desalination for drinking water production is in operation. MIDES uses Microbial Desalination Cells (MDC) in a pre-treatment step for reverse osmosis (RO), for simultaneous saline stream desalination and wastewater treatment. MDCs are based on bio-electro-chemical technology, in which biological wastewater treatment can be coupled to the desalination of a saline stream using ion exchange membranes without external energy input. MDCs simultaneously treat wastewater and perform desalination using the energy contained in the wastewater. In fact, an MDC can produce around 1.8 kWh of bioelectricity from the energy contained in 1 m3 of wastewater. Compared to traditional RO, more than 3 kWh/m3 of electrical energy is saved. With this novel technology, two low-quality water streams (saline stream, wastewater) are transformed into two high-quality streams (desalinated water, treated wastewater) suitable for further uses. An exhaustive scaling-up process was carried out in which all MIDES partners worked together on nanostructured electrodes, antifouling membranes, electrochemical reactor design and optimization, life cycle assessment, microbial electrochemistry and physiology expertise, and process engineering and control. The roadmap of the lab-MDC upscaling goes through the assembly of a pre-pilot MDC, towards the development of the demonstrator of the MDC technology (patented). Nominal desalination rate between 4-11 Lm-2h-1 is reached with a current efficiency of 40 %. After the scalability success, two MDC pilot plants were designed and constructed consisting of one stack of 15 MDC pilot units with a 0.4 m2 electrode area per unit. This book presents the information generated throughout the EU funded MIDES project and includes the latest developments related to desalination of sea water and brackish water by applying microbial desalination cells. ISBN: 9781789062113 (Paperback) ISBN: 9781789062120 (eBook)
Buchteile zum Thema "Product assembly (Optimization)":
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Kim, Samyeon, Jung Woo Baek, Seung Ki Moon und Su Min Jeon. „A New Approach for Product Design by Integrating Assembly and Disassembly Sequence Structure Planning“. In Proceedings in Adaptation, Learning and Optimization, 247–57. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-13359-1_20.
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Groppetti, R., und R. Muscia. „On a Genetic Multiobjective Approach for the Integration and Optimization of Assembly Product Design and Process Planning“. In Integrated Design and Manufacturing in Mechanical Engineering, 61–70. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5588-5_7.
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Diestmann, Thomas, Nils Broedling, Benedict Götz und Tobias Melz. „Surrogate Model-Based Uncertainty Quantification for a Helical Gear Pair“. In Lecture Notes in Mechanical Engineering, 191–207. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_16.
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AbstractCompetitive industrial transmission systems must perform most efficiently with reference to complex requirements and conflicting key performance indicators. This design challenge translates into a high-dimensional multi-objective optimization problem that requires complex algorithms and evaluation of computationally expensive simulations to predict physical system behavior and design robustness. Crucial for the design decision-making process is the characterization, ranking, and quantification of relevant sources of uncertainties. However, due to the strict time limits of product development loops, the overall computational burden of uncertainty quantification (UQ) may even drive state-of-the-art parallel computing resources to their limits. Efficient machine learning (ML) tools and techniques emphasizing high-fidelity simulation data-driven training will play a fundamental role in enabling UQ in the early-stage development phase.This investigation surveys UQ methods with a focus on noise, vibration, and harshness (NVH) characteristics of transmission systems. Quasi-static 3D contact dynamic simulations are performed to evaluate the static transmission error (TE) of meshing gear pairs under different loading and boundary conditions. TE indicates NVH excitation and is typically used as an objective function in the early-stage design process. The limited system size allows large-scale design of experiments (DoE) and enables numerical studies of various UQ sampling and modeling techniques where the design parameters are treated as random variables associated with tolerances from manufacturing and assembly processes. The model accuracy of generalized polynomial chaos expansion (gPC) and Gaussian process regression (GPR) is evaluated and compared. The results of the methods are discussed to conclude efficient and scalable solution procedures for robust design optimization.
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Yadav, Ashish, und Sunil Agrawal. „Two-Sided Assembly Line Balancing Optimization With Spider Monkey Optimization“. In Advances in Computer and Electrical Engineering, 19–40. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-1626-3.ch002.
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Growing interests from customers in customized products and increasing competition among peers necessitate companies to configure and balance their manufacturing systems more effectively than ever before. Two-sided assembly lines are usually constructed to produce large-sized high-volume products such as buses, trucks, automobiles, and some domestic products. Since the problem is well known as NP-hard problem, a mathematical model is solved by an exact solution-based approach and spider monkey optimization (SMO) algorithm that is inspired by the intelligent foraging behavior of fission-fusion social structure-based animals. In this chapter, the proposed mathematical model is applied to solve benchmark problems of two-sided assembly line balancing problem to minimize the number of mated stations and idle time. The experimental results show that spider monkey optimizations provide better results.
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Pal, Subham, und Salil Haldar. „Optimization of Drilling Parameters for Composite Laminate Using Genetic Algorithm“. In Advances in Civil and Industrial Engineering, 191–213. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-7206-1.ch013.
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Composite materials are preferred mostly in recent times due to their durability and ample space of applicability. Drilling is also an essential process in manufacturing, and it is frequently done to assemble products. Delamination due to drilling of the CFRP composite is considered as the primary concern in the manufacturing and assembly process. In this chapter, the empirical model for thrust force, torque, entry-delamination factor, exit-delamination factor, and eccentricity of drilling of CFRP composite is developed based on the extensive experiment. Response surface methodology is accounted to formulate a mathematical modal considering thrust force, torque, entry and exit-delamination factor, and eccentricity as response parameter and spindle speed, feed rate, and point angle as a process parameter. ANOVA is performed to check the statistical significance of the mathematical model. GA is employed to trace the optimum values of three process parameters to minimize the five response parameters. The Pareto front curve for various combinations of process parameters is also examined.
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Rathee, Manisha, Kumar Dilip und Ritu Rathee. „DNA Fragment Assembly Using Quantum-Inspired Genetic Algorithm“. In Exploring Critical Approaches of Evolutionary Computation, 80–98. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5832-3.ch005.
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DNA fragment assembly (DFA) is one of the most important and challenging problems in computational biology. DFA problem involves reconstruction of target DNA from several hundred (or thousands) of sequenced fragments by identifying the proper orientation and order of fragments. DFA problem is proved to be a NP-Hard combinatorial optimization problem. Metaheuristic techniques have the capability to handle large search spaces and therefore are well suited to deal with such problems. In this chapter, quantum-inspired genetic algorithm-based DNA fragment assembly (QGFA) approach has been proposed to perform the de novo assembly of DNA fragments using overlap-layout-consensus approach. To assess the efficacy of QGFA, it has been compared genetic algorithm, particle swarm optimization, and ant colony optimization-based metaheuristic approaches for solving DFA problem. Experimental results show that QGFA performs comparatively better (in terms of overlap score obtained and number of contigs produced) than other approaches considered herein.
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Rathee, Manisha, Kumar Dilip und Ritu Rathee. „DNA Fragment Assembly Using Quantum-Inspired Genetic Algorithm“. In Research Anthology on Multi-Industry Uses of Genetic Programming and Algorithms, 811–28. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8048-6.ch041.
Annotation:
DNA fragment assembly (DFA) is one of the most important and challenging problems in computational biology. DFA problem involves reconstruction of target DNA from several hundred (or thousands) of sequenced fragments by identifying the proper orientation and order of fragments. DFA problem is proved to be a NP-Hard combinatorial optimization problem. Metaheuristic techniques have the capability to handle large search spaces and therefore are well suited to deal with such problems. In this chapter, quantum-inspired genetic algorithm-based DNA fragment assembly (QGFA) approach has been proposed to perform the de novo assembly of DNA fragments using overlap-layout-consensus approach. To assess the efficacy of QGFA, it has been compared genetic algorithm, particle swarm optimization, and ant colony optimization-based metaheuristic approaches for solving DFA problem. Experimental results show that QGFA performs comparatively better (in terms of overlap score obtained and number of contigs produced) than other approaches considered herein.
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Rathee, Manisha, Kumar Dilip und Ritu Rathee. „DNA Fragment Assembly Using Quantum-Inspired Genetic Algorithm“. In Research Anthology on Advancements in Quantum Technology, 228–45. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-8593-1.ch009.
Annotation:
DNA fragment assembly (DFA) is one of the most important and challenging problems in computational biology. DFA problem involves reconstruction of target DNA from several hundred (or thousands) of sequenced fragments by identifying the proper orientation and order of fragments. DFA problem is proved to be a NP-Hard combinatorial optimization problem. Metaheuristic techniques have the capability to handle large search spaces and therefore are well suited to deal with such problems. In this chapter, quantum-inspired genetic algorithm-based DNA fragment assembly (QGFA) approach has been proposed to perform the de novo assembly of DNA fragments using overlap-layout-consensus approach. To assess the efficacy of QGFA, it has been compared genetic algorithm, particle swarm optimization, and ant colony optimization-based metaheuristic approaches for solving DFA problem. Experimental results show that QGFA performs comparatively better (in terms of overlap score obtained and number of contigs produced) than other approaches considered herein.
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Taber, Douglass F. „The Thomson Synthesis of (–)-GB17“. In Organic Synthesis. Oxford University Press, 2015. http://dx.doi.org/10.1093/oso/9780190200794.003.0096.
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(–)-GB17 3 is one of the Galbulimima alkaloids, a family that shows a wide range of interesting physiological activity. Regan J. Thomson of Northwestern University devised (Angew. Chem. Int. Ed. 2012, 51, 2481) a convergent assembly of 3, a key step of which was the intramolecular Michael cyclization of 1 to 2. The hydroxy aldehyde 6 was prepared by alkylation of the dithiane 4 with 5, followed by hydrolysis. The preparation of 9, by condensation of 8 with 7 followed by hydrogenation and protection, had been reported by Lhommet. Condensation of 9 with the linchpin reagent 10 gave an intermediate keto phosphonate, which was combined with 6 to give, after oxidation, the aldehyde 1. Two new stereogenic centers are created in the course of the cyclization of 1. The authors found that the TFA salt 11 of the Hayashi catalyst delivered 2 with high diastereocontrol. Control experiments showed that the buttressing effect of the dithiane was required for the cyclization. The authors then explored the next intramolecular Michael cyclization of 13 to 14. In this cyclization, the stereogenic center at 6 is in jeopardy by elimination and readdition. Cyclization of the trans unsaturated ester led to the wrong diastereomer of 14, but cyclization of the cis ester 13, prepared by the Still-Gennari protocol, cleanly gave the desired diastereomer. The reaction worked best with the free amine. Under the conditions of the reaction the Michael addition product spontaneously cyclized to the lactam 14. The ketone of 14 was selectively enolized, then converted to its enol triflate, which under Pd-mediated reduction gave the alkene 15. Alkylation of 15 with 16 predominantly gave the diene 18. Hydrolysis of the dithiane to the ketone followed by reduction gave mainly the desired equatorial alcohol, which was cleaved oxidatively to (–)-GB17 3. Although there have been many isolated reports of the utility of intramolecular Michael addition as a synthetic method, there has been little systematic investigation. The optimization studies that are the heart of this work are a welcome addition.
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Pedrycz, Witold, und Athanasios Vasilakos. „Granular Models“. In Novel Developments in Granular Computing, 243–63. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-324-1.ch010.
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In contrast to numeric models, granular models produce results coming in a form of some information granules. Owing to the granularity of information these constructs dwell upon, such models become highly transparent and interpretable as well as operationally effective. Given also the fact that information granules come with a clearly defined semantics, granular models are often referred to as linguistic models. The crux of the design of the linguistic models studied in this paper exhibits two important features. First, the model is constructed on a basis of information granules which are assembled in the form of a web of associations between the granules formed in the output and input spaces. Given the semantics of information granules, we envision that a blueprint of the granular model can be formed effortlessly and with a very limited computing overhead. Second, the interpretability of the model is retained as the entire construct dwells on the conceptual entities of a well-defined semantics. The granulation of available data is accomplished by a carefully designed mechanism of fuzzy clustering which takes into consideration specific problem-driven requirements expressed by the designer at the time of the conceptualization of the model. We elaborate on a so-called context – based (conditional) Fuzzy C-Means (cond-FCM, for brief) to demonstrate how the fuzzy clustering is engaged in the design process. The clusters formed in the input space become induced (implied) by the context fuzzy sets predefined in the output space. The context fuzzy sets are defined in advance by the designer of the model so this design facet provides an active way of forming the model and in this manner becomes instrumental in the determination of a perspective at which a certain phenomenon is to be captured and modeled. This stands in a sharp contrast with most modeling approaches where the development is somewhat passive by being predominantly based on the existing data. The linkages between the fuzzy clusters induced by the given context fuzzy set in the output space are combined by forming a blueprint of the overall granular model. The membership functions of the context fuzzy sets are used as granular weights (connections) of the output processing unit (linear neuron) which subsequently lead to the granular output of the model thus identifying a feasible region of possible output values for the given input. While the above design is quite generic addressing a way in which information granules are assembled in the form of the model, we discuss further refinements which include (a) optimization of the context fuzzy sets, (b) inclusion of bias in the linear neuron at the output layer.
Konferenzberichte zum Thema "Product assembly (Optimization)":
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Tan, Changbai, Theodor Freiheit, Kira Barton, Mihaela Banu und S. Jack Hu. „Robustness Optimization of Product Assembly Architecture for Personalization“. In ASME 2020 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/imece2020-23654.
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Abstract Personalization has received extensive attention as a new manufacturing paradigm to address increased market demand for personalized products. An open product architecture that assembling common, customized, and personalized modules is regarded as a key enabler for product personalization, which can deliver one-of-a-kind products for individual customers at near mass production efficiency. Offering the best product architecture should consider the variations in design variables and parameters that influence the performance of a product architecture. This is especially true when designing open architecture for personalized products as many uncertain design quantities need to be considered in early product design stage. A robustness optimization method is proposed to simultaneously optimize product variety, module variant selection, and configuration of personalized module variants for a personalized assembly architecture. First, a profit model is developed to measure the performance of a product architecture, which incorporates individual customer preferences and manufacturing cost. A three-step process is proposed to model heterogeneous customer preferences: conjoint analysis of the preferences of a sample of customers from target market, market segmentation by a multi-variate normal mixture method, and simulation of personal preferences for a broader market by Monte-Carlo simulation. Thus, the simulated individual customer preferences are used to predict the sales and profit of product offerings. Second, the variation of profit associated with a product family architecture due to the uncertainty in customer preference and manufacturing cost estimates is formulated by a sensitivity analysis. A robustness index is defined by combining the objectives of maximizing profit and minimizing its variation. Lastly, a robustness optimization model is established to optimize product architecture by maximizing its robustness index. The proposed method is demonstrated with a personalized bicycle architecture design example.
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Li Guiqin, Yao Zhiliang, Yuan Qingfeng und Fang Minglun. „Optimization methods of the product assembly line system“. In International Technology and Innovation Conference 2006 (ITIC 2006). IEE, 2006. http://dx.doi.org/10.1049/cp:20060720.
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Izquierdo, Luis E., Hao Du, S. Jack Hu, Ran Jin, Jianjun Shi und Haeseong Jee. „Robust Fixture Layout Design for a Product Family Assembled in a Multistage Reconfigurable Line“. In ASME 2006 International Manufacturing Science and Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/msec2006-21082.
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Reconfigurable assembly systems enable a family of products to be assembled in a single multistage system by adjusting and reconfigurabling fixtures according to each product. The sharing of fixtures among different products impacts their robustness to fixture variation and process disturbances due to frequent reconfiguration. This paper proposes a methodology to achieve robustness of the fixture layout design through an optimal distribution of the locators for a product family. This objective is accomplished by: (1) the use of a multistage assembly process model for the product family, and (2) minimizing the combined sensitivity of the products to fixture variation. The optimization considers the feasibility of the locator layout by taking into account the constraints imposed by the different products and the processes (assembly sequence, datum scheme and reconfigurable tools workspace). The high dimension design space makes the problem challenging from the optimization point of view. A case study where three products are assembled in four stages is presented. The sensitivity of the optimal layout was benchmarked against the ones obtained using dedicated assembly lines for each product. This comparison proves that the proposed approach does not significantly sacrifice robustness while allowing the assembly of three products in a single reconfigurable line.
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Zhao, Dongping, Gangfeng Wang, Yupeng Xin, Richard Evans, Ying Zhou und Qi Zhang. „A Multi-Order Sensitivity Calculation Method for Product Assembly Accuracy optimization“. In 2019 International Conference on Industrial Engineering and Systems Management (IESM). IEEE, 2019. http://dx.doi.org/10.1109/iesm45758.2019.8948194.
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Levandowski, Christoffer, Peter Edholm, Fredrik Ekstedt, Johan Carlson, Rikard So¨derberg und Hans Johannesson. „PLM Architecture for Optimization of Geometrical Interfaces in a Product Platform“. In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-47801.
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Product platforms can be used as an enabler for offering a wide variety of products to the market, while keeping the development cost down. Reusing knowledge in new designs is a key concept of product platforms, whether it is about reusing entire parts, or reusing ideas and concepts. The Configurable Component (CC) concept is one way of describing a product platform, and is based on autonomous subsystems that are not fixed, but have a bandwidth within which they can vary. These systems are configured to fit the set of requirements resulting in product variants. Product Lifecycle Management (PLM) as a complementing business strategy deals with integrating processes, information, systems and people across the product lifecycle to support the development of complex products. This paper describes a case study where the CC concept is successfully implemented in a PLM environment to allow configuration of the systems in relation to each other. The focal point of this paper is configuration of the geometrical interfaces between sub systems. A car door from a Swedish car manufacturer, known for the tight fit in assembly, is used as an example. In this case, there are two requirements on the assembly. First, the assembly cannot be far from nominal, thus requiring robust interfaces between the ingoing parts. Second, the window must be mountable. The result is a PLM architecture with a Product Data Management (PDM) system, a Computer Aided Design (CAD) tool, two Computer Aided Engineering (CAE) tools and a configurator, all integrated.
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Aized, Tauseef, Koji Takahashi und Ichiro Hagiwara. „Modeling and performance optimization of multiple product FMS using colored Petri net and response surface methods“. In 2007 IEEE International Symposium on Assembly and Manufacturing. IEEE, 2007. http://dx.doi.org/10.1109/isam.2007.4288455.
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Spensieri, Domenico, Johan S. Carlson, Robert Bohlin und Rikard So¨derberg. „Integrating Assembly Design, Sequence Optimization, and Advanced Path Planning“. In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49760.
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Assembling a product is a delicate process at the borderline between design and manufacturing. Shortening the time between them plays a central role both for quality assurance and fast time to market. In this paper, we describe an automatic tool based on a new method, integrating assembly design, sequence optimization, and advanced rigid body path planning. First, we introduce a greedy algorithm for assembling a product, part by part, based on state-of-the-art path planning. We exploit all the six degrees of freedom of a rigid body to search for collision-free paths, instead of limited motions. Then, we use assembly design in order to limit the search for an optimal assembling sequence and to guarantee geometrical quality among the sequences examined. Disassembly path planning is used here to further cut the state space and to give a quality measure to the sequences. Eventually, we present results for an industrial test case, which has been successfully solved by applying our method.
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Li, Zhijun, Michael Kokkolaras, Luis E. Izquierdo, S. Jack Hu und Panos Y. Papalambros. „Multiobjective Optimization for Integrated Tolerance Allocation and Fixture Layout Design in Multistation Assembly“. In ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/detc2006-99467.
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Cost and product quality are significant attributes in manufacturing processes, such as multistation assembly. We use multiobjective optimization for integrated tolerance allocation and fixture layout design to address their interaction and to quantify tradeoffs among cost, product quality, and assembly process robustness. Design decisions relate to product tolerances, assembly process tolerances, and fixture locating positions. A nested optimization strategy is adopted, and the proposed methodology is demonstrated using a vehicle side frame assembly example. The obtained results provide evidence for the existence of tradeoffs, based on which we can identify critical quality and budget requirements.
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Yang, Yunfei, Yan Gu, Xiumin Fan und Huanchong Cheng. „Multi-Objective Optimization of Virtual Human Motion Posture for Assembly Operation Simulation“. In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59740.
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Mechanical assembly belongs to the last stage of a complete mechanical product manufacturing, which usually involves many manual operations. Virtual assembly can be used to simulate a real product’s assembly process, and to assess the feasibility of the assembly scenario of a product during simulation processes. Virtual human operation simulation is an important part of virtual assembly simulation. In order to improve the fidelity and increase the accuracy of posture simulation for virtual human assembly operation, a multi-objective motion posture optimization scheme for virtual human operation is proposed in the paper. Since the real human body is a complex movement system, the virtual human is modeled as a simplified multi-rigid-body model to decrease complexity. According to ergonomics knowledge and requirements, three elements including joint angle, joint moment and operation field of vision are selected as the criteria to evaluate the virtual human’s motion. These elements are normalized and used for setting the optimization objective of human body assembly operation assessment. Optimal target functions with variables constraints used for the posture optimization problem are constructed in mathematical expression. As there are many rigid-body joint variables, it is difficult to solve the optimization model directly. The optimization model is decomposed according to different joint chains and the operating characteristics of the human body. A multi-objective NSGA-II algorithm is introduced to solve the optimization model, which finally generated a complete and continuous solution of the virtual human assembly operation motion. A case study of an engine connecting rod cap assembly is performed to demonstrate the effectiveness of the proposed optimization method.
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Ma, Yuanye, Hang Zhou, Honghong He, Guotao Jiao und Sha Wei. „A Digital Twin-Based Approach for Quality Control and Optimization of Complex Product Assembly“. In 2019 International Conference on Artificial Intelligence and Advanced Manufacturing (AIAM). IEEE, 2019. http://dx.doi.org/10.1109/aiam48774.2019.00157.