Zeitschriftenartikel zum Thema „Product assembly (Optimization)“
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1
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.
3
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.
4
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.
5
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.
10
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.
11
Chen, Jie, Kang Shun Dai und Shu Li Xu. „Selective Assembly for Components with Multiple Characteristics“. Advanced Materials Research 542-543 (Juni 2012): 79–86. http://dx.doi.org/10.4028/www.scientific.net/amr.542-543.79.
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Considering the limitation and production costs, the selective assembly is often used to enhance the precision of assembly of complex products. This paper presents an imporved grouping method based on MOPSO( Multi-Objective Particle Swarm Optimization) for selective assembly with multiple characteristics. The properties and quality criteria of selective assembly of components with multi-quality characteristics were analyzed to establish a mathematical model. The objective function of this model is to minimize the clearance variation in selective assembly. Fitness sharing strategy and dynamic archiving strategy are introduced to improve the solving performance of MOPSO. The method is applied to the optimization in a piston-cylinder selective assembly problem. The results show that the presented method can effectively reduce the clearance variation of of the product assembly
12
Marconnet, Bertrand, Frédéric Demoly, Davy Monticolo und Samuel Gomes. „An assembly oriented design and optimization approach for mechatronic system engineering“. International Journal for Simulation and Multidisciplinary Design Optimization 8 (2017): A7. http://dx.doi.org/10.1051/smdo/2016016.
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Today, companies involved in product development in the “Industry 4.0” era, need to manage all the necessary information required in the product entire lifecycle, in order to optimize as much as possible the product-process integration. In this paper, a Product Lifecycle Management (PLM) approach is proposed, in order to facilitate product-process information exchange, by considering design constraints and rules coming from DFMA (Design For Manufacturing and Assembly) guidelines. Indeed, anticipating these manufacturing and assembly constraints in product design process, reduces both costs and Time To Market (TTM), and avoids to repeat mistakes. The paper details the application of multi-objective optimization algorithms after considering DFMA constraints in a PLM approach. A case study using an original mechatronic system concept is presented, and improved by considering product-process integrated design, optimization and simulation loops, using numerical optimization and FEM (Finite Element Method) methods and tools.
13
Cudney, Elizabeth A., Ruwen Qin und Zlatan Hamzic. „Development of an optimization model to determine sampling levels“. International Journal of Quality & Reliability Management 33, Nr. 4 (04.04.2016): 476–87. http://dx.doi.org/10.1108/ijqrm-10-2014-0159.
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Purpose – As the complexity of the multi-component products increases the quality of these products becomes increasingly difficult to control throughout the supply chain. The first step to manufacturing a quality product is to ensure that the product components from suppliers meet specifications. Product quality can be controlled through sampling inspection of the components. The paper aims to discuss these issues. Design/methodology/approach – The model presented in this paper was developed to determine the optimal sampling levels for incoming lots containing parts for production and assembly of multi-component systems. The main objective of the model is to minimize the expected cost that is associated with a nonconforming item reaching assembly. Findings – In this research, the results showed that even with limited time available for inspection, performing sampling inspection significantly reduced the expected cost of a nonconforming item reaching assembly. The model, solved by the evolutionary algorithm, was able to provide a meaningful, near optimal solution to the problem. Originality/value – In this model the time available for inspection is limited, the distribution of defects is assumed to follow the binomial distribution, and the distribution of accepting the lot with defects follows the hypergeometric distribution. In addition, the inspection is considered to be accurate and, if a nonconforming item is found in the inspected sample, the entire lot is rejected. An example is given with real world data and the results are discussed as they relate to supply chain management and quality.
14
Rahnejat, H. „Simulating for ‘Resource Optimization’ in Robot-Assisted Automatic Assembly“. Proceedings of the Institution of Mechanical Engineers, Part B: Management and engineering manufacture 200, Nr. 3 (August 1986): 181–86. http://dx.doi.org/10.1243/pime_proc_1986_200_069_02.
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In most manufacturing systems emphasis is now given to resource flexibility in operation. The aim is to respond swiftly to changes in product mix and/or market demands. Discrete event computer simulation is seen as a tool in defining a suitable system configuration at the preliminary design stage. Furthermore, simulation in dynamic form can represent the interactions between the system components and provide a detailed prediction of its performance. Although many existing computer simulation packages have reached a good level of general purpose modelling, by and large they lack the required versatility to deal with some specific features of manufacturing systems. One such important area is the robot-assisted automatic assembly where minimization of non-productive activities in the product assembly cycle is of vital interest. This paper introduces a flexible modelling technique which identifies the resource utilization and optimization levels during the individual processes of a product assembly cycle. Within the working constraints of an assembly system, an ‘optimal’ robot sequential cycle is obtained by implementing this modelling technique in GPSL (general purpose simulation language).
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Permin, Eike, Max Hoffmann, Felix Bertelsmeier, Sebastian Haag, Tim Detert und Robert Schmitt. „Cognitive Self-Optimization in Industrial Assembly“. Applied Mechanics and Materials 794 (Oktober 2015): 35–42. http://dx.doi.org/10.4028/www.scientific.net/amm.794.35.
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Modern day production has to overcome a polylemma – the gaps between economies of scale and scope as well as between economies of plan and value. Due to shorter product lifecycles and a rising demand of customization, flexibility and adaptability of assembly processes will become key elements for a sustainable success of industrial production in high-wage countries. Self-optimization as presented in this paper has been identified as one major contributor to the enhancement of this flexibility and adaptability. After a short introduction of the historical background, the specifics of the application of self-optimization to assembly are discussed using its meta model. In the end, two application examples are presented to illustrate its industrial deployment.
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Zhang, Zhong Bo, und Chuan Yong Huang. „A Discrete Particle Swarm Optimization Approach to Optimize the Assembly Sequence of Mechanical Product“. Advanced Materials Research 490-495 (März 2012): 203–7. http://dx.doi.org/10.4028/www.scientific.net/amr.490-495.203.
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The aim of assembly sequence planning (ASP) is to achieve the best assembly sequence which assembly cost and time used is less. The geometrical feasibility of an assembly sequence is validated by the interference matrix of the product. The number of assembly tool changes and the number of assembly operation type changes are considered in the fitness function. To establish the mapping relation between ASP and particle swarm optimization (PSO) approach, some definitions of position, velocity and operator of particles are proposed. The difference of the proposed discrete PSO (DPSO) algorithm with the other algorithm is the emphasis on the geometrical feasibility of the assembly sequence. The geometrical feasibility is verified at the first and the every iteration. The performance and feasibility of the proposed algorithm is verified via a simplified engine assembly case.
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Yu, Hong, Jia Peng Yu und Wen Lei Zhang. „An Particle Swarm Optimization Approach for Assembly Sequence Planning“. Applied Mechanics and Materials 16-19 (Oktober 2009): 1228–32. http://dx.doi.org/10.4028/www.scientific.net/amm.16-19.1228.
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Assembly sequence planning (ASP) is the foundation of the assembly planning which plays a key role in the whole product life cycle. Although the ASP problem has been tackled via a variety of optimization techniques, the particle swarm optimization (PSO) algorithm is scarcely used. This paper presents a PSO algorithm to solve ASP problem. Unlike generic versions of particle swarm optimization, the algorithm redefines the particle's position and velocity, and operation of updating particle positions. In order to overcome the problem of premature convergence, a new study mechanism is adopted. The geometrical constraints, assembly stability and the changing times of assembly directions are used as the criteria for the fitness function. To validate the performance of the proposed algorithm, a 29-component product is tested by this algorithm. The experimental results indicate that the algorithm proposed in this paper is effective for the ASP.
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Zhu, Miao Fen, Shao Hui Su, You Ping Gong und Guo Jin Chen. „Research on the Cooperative CAPP Modularity Technique Supporting the ETO Product“. Applied Mechanics and Materials 55-57 (Mai 2011): 1183–88. http://dx.doi.org/10.4028/www.scientific.net/amm.55-57.1183.
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The ETO product’s modularity manufacture needs the ETO product’s modular design as a foundation. By fully distinguishing and exploiting the geometry similarity, the structure similarity, the function similarity and the process similarity of the multi-ETO products, using the methods of standardization, modularization and serialization, the ETO products as well as the corresponding manufacture systems are modularized. In view of various standard components and parts produced by the modular design and manufacture, the products needed for the customers are directly assembled using a set of the advanced operation flow suitable for the modular assembly, and selecting the appropriate standard parts. Thus the production cost, the assembly cost as well as the inventory cost and so on are reduced. The modular manufacture is using the modular technology in the manufacture process to form the overall integrated production and assembly system of the components, and to recompose the manufacture process promptly according to the specific production. This paper proposed the optimization method of production organization, established the CAPP system’s architecture based on the modularity technique supporting the ETO product and developed the cooperative CAPP platform of the multi-functional hydraulic lift machinery.
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Burggräf, P., M. Dannapfel, T. Adlon, A. Riegauf, K. Müller und C. Fölling. „Agile Montage*/Agile assembly – Assembly planning and assembly system as integral elements of factory planning“. wt Werkstattstechnik online 109, Nr. 09 (2019): 622–27. http://dx.doi.org/10.37544/1436-4980-2019-09-8.
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Produzierende Unternehmen intensivieren aufgrund zunehmend volatiler Kundenbedürfnisse die Anwendung agiler Produktentwicklungsansätze. Ziel des Beitrags ist die Einführung eines Konzepts zur Befähigung dieser dynamischen Produktentwicklung in der Montage. Der integrative Lösungsansatz basiert auf der wirtschaftlichen Optimierung des Agilitätsgrades von Montagesystemen sowie dem selektiven Einsatz agiler Methoden in der traditionell plangetriebenen Montageplanung als Teil der Fabrikplanung. To meet more volatile customer needs, manufacturing companies increasingly make use of agile product development approaches. This article aims to introduce a concept to enable for dynamic product development in assembly. This integrative solution approach is based on the economic optimization of the degree of agility of assembly systems and on the selective use of agile methods in traditional, plan-driven assembly planning as part of factory planning.
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Bora, Mumtaz Y. „fcLGA Package Assembly Qualification for Mobile Applications“. International Symposium on Microelectronics 2018, Nr. 1 (01.10.2018): 000115–20. http://dx.doi.org/10.4071/2380-4505-2018.1.000115.
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Abstract Flip Chip Land Grid Array (FcLGA) packages are widely used in Mobile product applications due to their thin form factor and performance. Assembly process qualification requires careful selection of materials and optimization of reflow processes to make consistent and reliable product. The fcLGA typically uses an organic substrate on which the die is reflowed instead of the copper lead frame used in QFN packages. This requires assessment of CTE mismatch and controlled reflow processes to prevent bump separation [1]. The paper reviews the selection of substrate, optimization of assembly process and reliability testing conducted for package qualification
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Li, Zhi, Zhao Liang Jiang und Yu Mei Liu. „Multi-Objective Optimization of Order Oriented Mixed-Model Assembly Line Sequencing Problem“. Advanced Materials Research 717 (Juli 2013): 460–65. http://dx.doi.org/10.4028/www.scientific.net/amr.717.460.
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Mixed-model assembly lines are widely used in many manufacturing firms to meet diversified demands of consumers without possessing large product inventories. In this paper, we posed order oriented assembly line sequencing as a multiple-objective optimization problem with the objectives to minimize material consumption waviness, the total setup cost, and finished product inventory cost. The multi-objective optimization algorithm based on non-dominated sorting particle swarm optimization (NSPSO) is designed. Computational experiment has been demonstrated to the applicability of using NSPSO to solve the problem and effectiveness of the proposed approach. By means of this research, the valid solutions for order oriented mixed-model assembly line sequence can be offered to the decision makers effectively.
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Ab Rashid, Mohd Fadzil Faisae, Ashutosh Tiwari und Windo Hutabarat. „Integrated optimization of mixed-model assembly sequence planning and line balancing using Multi-objective Discrete Particle Swarm Optimization“. Artificial Intelligence for Engineering Design, Analysis and Manufacturing 33, Nr. 03 (06.05.2019): 332–45. http://dx.doi.org/10.1017/s0890060419000131.
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AbstractRecently, interest in integrated assembly sequence planning (ASP) and assembly line balancing (ALB) began to pick up because of its numerous benefits, such as the larger search space that leads to better solution quality, reduced error rate in planning, and expedited product time-to-market. However, existing research is limited to the simple assembly problem that only runs one homogenous product. This paper therefore models and optimizes the integrated mixed-model ASP and ALB using Multi-objective Discrete Particle Swarm Optimization (MODPSO) concurrently. This is a new variant of the integrated assembly problem. The integrated mixed-model ASP and ALB is modeled using task-based joint precedence graph. In order to test the performance of MODPSO to optimize the integrated mixed-model ASP and ALB, an experiment using a set of 51 test problems with different difficulty levels was conducted. Besides that, MODPSO coefficient tuning was also conducted to identify the best setting so as to optimize the problem. The results from this experiment indicated that the MODPSO algorithm presents a significant improvement in term of solution quality toward Pareto optimal and demonstrates the ability to explore the extreme solutions in the mixed-model assembly optimization search space. The originality of this research is on the new variant of integrated ASP and ALB problem. This paper is the first published research to model and optimize the integrated ASP and ALB research for mixed-model assembly problem.
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Liu, Fengdi, Yihai He, Yixiao Zhao, Anqi Zhang und Di Zhou. „Risk-Oriented Product Assembly System Health Modeling and Predictive Maintenance Strategy“. Sensors 19, Nr. 9 (05.05.2019): 2086. http://dx.doi.org/10.3390/s19092086.
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Assembly quality is the barometer of assembly system health, and a healthy assembly system is an important physical guarantee for producing reliable products. Therefore, for ensuring the high reliability of products, the operational data of the assembly system should be analyzed to manage health states. Therefore, based on the operational data of the assembly system collected by intelligent sensors, from the perspective of quality control based on risk thinking, a risk-oriented health assessment method and predictive maintenance strategy for managing assembly system health are proposed. First, considering the loss of product reliability, the concept of assembly system health risk is proposed, and the risk formation mechanism is expounded. Second, the process variation data of key reliability characteristics (KRCs) collected by different sensors are used to measure and assess the health risk of the running assembly system to evaluate the health state. Third, the assembly system health risk is used as the maintenance threshold, the predictive maintenance decision model is established, and the optimal maintenance strategy is determined through stepwise optimization. Finally, the case study verifies the effectiveness and superiority of the proposed method. Results show that the proposed method saves 37.40% in costs compared with the traditional method.
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Al-Arabe, A. M. F., E. V. Markova und T. V. Denisova. „OPTIMIZATION OF THE ASSEMBLY OF THE FRONT WING SPAR OF A TRANSPORT AIRCRAFT“. RUSSIAN ELECTRONIC SCIENTIFIC JOURNAL 37, Nr. 3 (01.10.2020): 8–25. http://dx.doi.org/10.31563/2308-9644-2020-37-3-8-25.
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This article is to optimize the assembly of the front wing spar of a transport aircraft. Particular attention is paid to reducing the complexity, assembly cycle and other parameters that determine the efficiency of the process. According to experts, the domestic civil aviation fleet today is characterized as obsolete both morally and physically. The most important advantage of new products is the increased resource provided by the use of new materials, new design and technological solutions. One of such solutions is the widespread use of bent profiles from promising aluminum sheet materials. The presence of a cladding layer, a more uniform structure provides an increased resource. An important part of the production process of an aircraft manufacturing enterprise is assembly work, which largely determines the quality of the product. The main ways to increase the efficiency of assembly work, preparation of production, reduce costs is to increase the manufacturability of products, the creation of new means of production, the wider use of mechanization and automation, as well as the selection of optimal technological processes and means of equipping assembly work in technological design.
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Liu, Zhenyu, Shien Zhou, Chan Qiu und Jianrong Tan. „Assembly variation analysis of complicated products based on rigid–flexible hybrid vector loop“. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 233, Nr. 10 (04.12.2018): 2099–114. http://dx.doi.org/10.1177/0954405418816851.
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The performance of mechanical products is closely related to their key feature errors. It is essential to predict the final assembly variation by assembly variation analysis to ensure product performance. Rigid–flexible hybrid construction is a common type of mechanical product. Existing methods of variation analysis in which rigid and flexible parts are calculated separately are difficult to meet the requirements of these complicated mechanical products. Another methodology is a result of linear superposition with rigid and flexible errors, which cannot reveal the quantitative relationship between product assembly variation and part manufacturing error. Therefore, a kind of complicated products’ assembly variation analysis method based on rigid–flexible vector loop is proposed in this article. First, shapes of part surfaces and sidelines are estimated according to different tolerance types. Probability density distributions of discrete feature points on the surface are calculated based on the tolerance field size with statistical methods. Second, flexible parts surface is discretized into a set of multi-segment vectors to build vector-loop model. Each vector can be orthogonally decomposed into the components representing position information and error size. Combining the multi-segment vector set of flexible part with traditional rigid part vector, a uniform vector-loop model is constructed to represent rigid and flexible complicated products. Probability density distributions of discrete feature points on part surface are regarded as inputs to calculate assembly variation values of products’ key features. Compared with the existing methods, this method applies to the assembly variation prediction of complicated products that consist of both rigid and flexible parts. Impact of each rigid and flexible part’s manufacturing error on product assembly variation can be determined, and it provides the foundation of parts tolerance optimization design. Finally, an assembly example of phased array antenna verifies effectiveness of the proposed method in this article.
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Zhao, Liping, Bohao Li, Hongren Chen und Yiyong Yao. „An assembly sequence optimization oriented small world networks genetic algorithm and case study“. Assembly Automation 38, Nr. 4 (03.09.2018): 387–97. http://dx.doi.org/10.1108/aa-04-2017-049.
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Purpose The assembly sequence in the product assembly process has effect on the final product quality. To solve the assembly sequence optimization problem, such as rotor blade assembly sequence optimization, this paper proposes a small world networks-based genetic algorithm (SWN_GA) to solve the assembly sequence optimization problem. The proposed approach SWN_GA consists of a combination between the standard Genetic Algorithm and the NW Small World Networks. Design/methodology/approach The selection operation and the crossover operation are improved in this paper. The selection operation remains the elite individuals that have greater fitness than average fitness and reselects the individuals that have smaller fitness than average fitness. The crossover operation combines the NW Small World Networks to select the crossover individuals and calculate the crossover probability. Findings In this paper, SWN_GA is used to optimize the assembly sequence of steam turbine rotor blades, and the SWN_GA was compared with standard GA and PSO algorithm in a simulation experiment. The simulation results show that SWN_GA cannot only find a better assembly sequence which have lower rotor imbalance, but also has a faster convergence rate. Originality/value Finally, an experiment about the assembly of a steam turbine rotor is conducted, and SWN_GA is applied to optimize the blades assembly sequence. The feasibility and effectiveness of SWN_GA are verified through the experimental result.
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Tsutsumi, Daisuke, Dávid Gyulai, András Kovács, Bence Tipary, Yumiko Ueno, Youichi Nonaka und László Monostori. „Towards joint optimization of product design, process planning and production planning in multi-product assembly“. CIRP Annals 67, Nr. 1 (2018): 441–46. http://dx.doi.org/10.1016/j.cirp.2018.04.036.
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Rosyidi, Cucuk Nur, Dradjad Irianto, Andi Cakravastia, Isa Setiasyah Toha und Kunihiro Hamada. „Optimization Models for Deriving Optimum Target of Key Characteristics“. Journal of Advanced Manufacturing Systems 13, Nr. 02 (28.05.2014): 89–101. http://dx.doi.org/10.1142/s0219686714500061.
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The aim of this research is to develop optimization models in deriving optimum target of key characteristic (KC). There are two kinds of product KCs introduced in this paper, namely performance and dimension product KC. The performance product KC target values must be determined by balancing customer and designer utilities subject to design cost and time provided by a company. The KCs of a product can be visualized using a KC flow-down which shows the hierarchical structure of the product. The flow-down may consist of many levels from product KC to process KC. Using axiomatic design as a methodology to map the flow-down, we conclude that product KC, assembly-components KC, and process KC are in functional domain, physical domain, and process domain respectively. In this paper, the objective function of the model for deriving optimum product KC target is to minimize utility gap between customer and designer subject to design cost and time. The assembly-component KCs have to be derived considering the product KC targets. In the absence of product KC target, the objective function of the model is to maximize the desired effect or minimizing the undesired effect. In the existence of product KC target, the objective function of the model is to attain the target considering technical constraints of the product. We use a shaft design problem as a numerical example to show the implementation of the models.
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Han, Zhoupeng, Rong Mo, Zhiyong Chang, Li Hao und Weilong Niu. „Key assembly structure identification in complex mechanical assembly based on multi-source information“. Assembly Automation 37, Nr. 2 (03.04.2017): 208–18. http://dx.doi.org/10.1108/aa-09-2016-121.
Annotation:
Purpose The purpose of this paper is to find a method for key assembly structure identification in complex mechanical assembly. Three-dimensional model reuse plays an increasingly important role in complex product design and innovative design. Assembly model has become important resource of models reuse in enterprises, which contains certain function assembly structures. These assembly structures implicating plenty of design intent and design experience knowledge can be used to support function-structure design, modular design reuse and semantics analysis for complex product. Design/methodology/approach A method for identifying key assembly structures in assembly model is presented from the viewpoint of assembly topology and multi-source attributes. First, assembly model is represented based on complex network. Then, a two-level evaluation model is put forward to evaluate importance of parts assembled, and the key function parts in assembly can be obtained. After that, on the basis of the function parts, a heuristic algorithm upon breadth first searching is given to identify key assembly structures. Findings The method could be used to evaluate key function parts and identify key assembly structures in complex mechanical assembly according to the specific circumstances. Practical implications The method can not only help designers find the key assembly structure in complex mechanical assembly model, facilitate the function-structure designing and semantics analyzing, and thereby improve the efficiency of product knowledge reuse, but also assist in analyzing influence scope of key function part changing and optimization of the assembly process for complex mechanical assembly. Originality/value The paper is the first to propose a method for key assembly structure identification in complex mechanical assembly, where the key function parts can be evaluated through a two-level evaluation model, and the key assembly structures are identified automatically based on complex network.
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Ha, Lan Tao. „Inventor in the Virtual Product Design“. Applied Mechanics and Materials 48-49 (Februar 2011): 645–48. http://dx.doi.org/10.4028/www.scientific.net/amm.48-49.645.
Annotation:
Virtual design is based on virtual reality and simulation technology, simulates the throughout life cycle from product design, manufacture, assembly, testing to use by means of three-dimensional software Inventor on computer in order to optimize product design quality and manufacturing processes, optimize production management and resource planning to achieve minimization of product development cycle and cost, optimization of product design quality and the highest productivity.
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Tang, Shui Long, Jian Feng Yu, Yuan Li und Hai Cheng Yang. „A Study of Selective Assembly for Product with Multi Mating Features“. Applied Mechanics and Materials 44-47 (Dezember 2010): 499–505. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.499.
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In order to firstly assure the mating features of high importance during the selective assembly process, a selective assembly method considering the feature weightings is proposed. All of the features are evaluated by fuzzy entropy weight method. Their weight coefficients which present the importance are defined. Based on the dissymmetrical quality loss function and the weight coefficients, the multi-objective model for selective assembly is established. A specific generic algorithm considering target weightings is used to solve the optimization model. It can search the preference region using the Pareto dominant order to derive satisfactory solutions with high quality. Finally, the method is used for the selective assembly of a certain aero engine’s subassembly to invalidate the feasibility.
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Cetin, O. L., und K. Saitou. „Decomposition-Based Assembly Synthesis for Maximum Structural Strength and Modularity“. Journal of Mechanical Design 126, Nr. 2 (01.03.2004): 244–53. http://dx.doi.org/10.1115/1.1667890.
Annotation:
This study presents a systematic decomposition process to carry out assembly synthesis as a tool during the conceptual design phase of a product. Two configurations obtained by structural topology optimization are decomposed automatically into assemblies consisting of multiple members with simpler geometries. Generating topology graphs for both products, the search for an optimal decomposition can then be posed as a graph partitioning problem. Considering the complexity and the corresponding computational overhead of the problem, a steady-state genetic algorithm is employed as the optimization method. The final objective function attempts to find a solution that brings about two structures with maximum structural strength, maximum assemblability, and one or more components that can be shared by both products. The software implementation is carried out and a bicycle frame design problem is solved using the procedure. It is observed that the algorithm manages to find an acceptable solution, allowing the commonality of one component in both end products and still maintaining a good structural strength and assemblability.
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Ab. Rashid, Mohd Fadzil Faisae, Ahmad Nasser Mohd Rose, Nik Mohd Zuki Nik Mohamed und Fadhlur Rahman Mohd Romlay. „Improved moth flame optimization algorithm to optimize cost-oriented two-sided assembly line balancing“. Engineering Computations 37, Nr. 2 (09.08.2019): 638–63. http://dx.doi.org/10.1108/ec-12-2018-0593.
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Purpose This paper aims to propose an improved Moth Flame Optimization (I-MFO) algorithm to optimize the cost-oriented two-sided assembly line balancing (2S-ALB). Prior to the decision to assemble a new product, the manufacturer will carefully study and optimize the related cost to set up and run the assembly line. For the first time in ALB, the power cost is modeled together with the equipment, set up and labor costs. Design/methodology/approach I-MFO was proposed by introducing a global reference flame mechanism to guide the global search direction. A set of benchmark problems was used to test the I-MFO performance. Apart from the benchmark problems, a case study from a body shop assembly was also presented. Findings The computational experiment indicated that the I-MFO obtained promising results compared to comparison algorithms, which included the particle swarm optimization, Cuckoo Search and ant colony optimization. Meanwhile, the results from the case study showed that the proposed cost-oriented 2S-ALB model was able to assist the manufacturer in making better decisions for different planning periods. Originality/value The main contribution of this work is the global reference flame mechanism for MFO algorithm. Furthermore, this research introduced a new cost-oriented model that considered power consumption in the assembly line design.
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Dinev, Georgi, Ivo Malakov und Dobrin Dotsev. „CAD Optimal Design, Documentation and Automated Assembly of Mechanical Product“. Advanced Materials Research 463-464 (Februar 2012): 1202–5. http://dx.doi.org/10.4028/www.scientific.net/amr.463-464.1202.
Annotation:
As a result an optimal structural variant for automated assembly and algorithm for analytical and experimental determination of the trajectory of an assembly robot has been chosen. The criteria for the choice of an optimal structural variant and an approach for searching assembly variants of mechanical products in CAD medium are developed. Algorithms for the choice of optimal structural variant in resolving optimization problems in conditions of under determination were developed. Based on the proposed algorithms application software was developed and its efficiency and working capacity by solving test-problems was proved. The developed technological schemes, constructional documents and the based optimal variant for automated assembly will be used in training students on “Bases of construction and CAD” in Department “Bases and technical means for construction” and on “Assembly Automation” in Department “Automation of discrete production”. The obtained results can be used also by firms and enterprises in accomplishing constructional, design and consulting activity in the field of assembly automation. It is expected that the results will be efficiently applied also by little and medium size firms.
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Lang, Yue Dong, Ying Xue Yao, Ping Jun Xia und J. G. Li. „Virtual Assembly System for Large-Scale Complex Products“. Applied Mechanics and Materials 10-12 (Dezember 2007): 444–50. http://dx.doi.org/10.4028/www.scientific.net/amm.10-12.444.
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Due to complex process and high difficult operation for large-scale products assembly, the application of virtual assembly (VA) has an important significance and also an actual value. In this paper the key techniques of VA for large-scale complex products are proposed, and their assembly characteristics (such as their organization form, human participation, process planning and optimization and so on) are analyzed. First, a new virtual environment (VE) system considering human activities is set up. Second, an integration approach is realized to transform data from CAD to VA system, and a hybrid method on the basis of virtual reality (VR) and intelligent algorithm is applied to optimize and evaluate assembly process planning. Moreover, assembly documents generation and Web training for assembly workers are implemented. Finally, an application case of the VA system for a complex product is given, and further work is pointed out.
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Lai, Rongshen, Liang Hou und Yongming Wu. „Evolution Balancing of the Small-Sized Wheel Loader Assembly Line“. Shock and Vibration 2015 (2015): 1–11. http://dx.doi.org/10.1155/2015/213159.
Annotation:
Assembly line balancing not only directly determines production efficiency but also influences precision and quality of key assemblies or even the overall performance of final products. Driven by market demand and development of science and technology, product family must evolve constantly, which necessitates frequent adjustment and rebalancing of product family assembly line (PFAL). In order to maintain production efficiency, improve assembly quality and precision, and reduce costs for adjustment, the evolution balancing problem of PFAL for small-sized wheel loader is solved in this paper. Firstly, the evolution balancing model of PFAL is put forward. Then, with minimizing the number of workstations, the in-station and between-station load indexes and adjustment costs, and maximizing relevancy between activities as optimization objectives, meanwhile regarding product platform planning, modularity design and the critical chain technology in concurrent engineering as constraint conditions, the evolution balancing problem of PFAL is optimized using improved genetic algorithm (IGA). Finally, the whole analysis procedure is demonstrated by the small-sized wheel loader PFAL case study and the effectiveness of the proposed method is verified.
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Xing, Yanfeng, und Yansong Wang. „Minimizing assembly variation in selective assembly for auto-body parts based on IGAOT“. International Journal of Intelligent Computing and Cybernetics 11, Nr. 2 (11.06.2018): 254–68. http://dx.doi.org/10.1108/ijicc-10-2016-0039.
Annotation:
PurposeDimensional quality of sheet metal assemblies is an important factor for the final product. However, the part tolerance is not easily controlled because of the spring back deformation during the stamping process. Selective assembly is a means to decrease assembly tolerance of the assembly from low-precision components. Therefore, the purpose of this paper is to propose a fully efficient method of selective assembly optimization based on an improved genetic algorithm for optimization toolbox (IGAOT) in MATLAB.Design/methodology/approachThe method of influence coefficient is first applied to calculate the assembly variation of sheet metal components since the traditional rigid assembly variation model cannot be used due to welding deformation. Afterwards, the IGAOT is proposed to generate optimal selective groups, which consists of advantages of genetic algorithm for optimization toolbox (GAOT) and simulated annealing.FindingsThe cases of two simple planes and the tail lamp bracket assembly are used to illustrate the flowchart of optimizing combinations of selective groups. These cases prove that the proposed IGAOT has better precision than that of GAOT with the same parameters for selective assembly.Originality/valueThe research objective of this paper is to evaluate the changes from rigid bodies to sheet metal parts which are very complex for selective assembly. The method of IGAOT was proposed to the selected groups which has better precision than that of current optimization algorithms.
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Xu, Wei Tao, Rui Miao und Wen Jun Yang. „Medical Cable Assembly Line Planning and its Optimization Based on Product Service System“. Advanced Materials Research 718-720 (Juli 2013): 2469–72. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2469.
Annotation:
The thesis adopts the SLP (System Layout Plan) to analyze the collected data of new PMS medical cable assembly product, manufacturing process and production material flow with the use of different tools, combined with constrained conditions related of the new facility to plan the process layout of the PMS medical cable assembly line, then adoptscorrelation analysismethods from production line balance theory and material flow project theory to improve layout of production line, so that the material transit distance could be shortened, the cost could be reduced and the balance rate of the production line could be improved. This thesis will be introduced by presenting the way of gathering solution for an example step by step.
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Salaev, R. A., A. A. Fedorov und A. V. Salaeva. „IMULATION MODELING OF PROCESSES OF UNIT-ASSEMBLY PRODUCTION OF AIRCRAFT PRODUCTS“. Izvestiya of Samara Scientific Center of the Russian Academy of Sciences 23, Nr. 1 (2021): 60–66. http://dx.doi.org/10.37313/1990-5378-2021-23-1-60-66.
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The article presents a universal simulation model of aggregate and Assembly production processes based on IDEF0 methods and numerical modeling methods. The problem statement is formed as follows: it is necessary to analyze the existing simulation tools, structure the Assembly production processes into separate classes and subclasses, describe the processes using the IDEF0 method, create a simulation model of the aggregate-Assembly production process with a link between economic and labor costs. The total labor intensity of Assembly processes and economic costs were considered as optimization criteria in this study. Numerical modeling and optimization of workflow parameters were performed in the AnyLogic simulation environment. The obtained simulation models can be used in the future in the management system of aviation enterprises, as well as in other production areas where the product is a complex system.
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Lupuleac, Sergey, Tatiana Pogarskaia, Maria Churilova, Michael Kokkolaras und Elodie Bonhomme. „Optimization of fastener pattern in airframe assembly“. Assembly Automation 40, Nr. 5 (25.06.2020): 723–33. http://dx.doi.org/10.1108/aa-03-2019-0040.
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Purpose The authors consider the problem of optimizing temporary fastener patterns in aircraft assembly. Minimizing the number of fasteners while maintaining final product quality is one of the key enablers for intensifying production in the aerospace industry. The purpose of this study is to formulate the fastener pattern optimization problem and compare different solving approaches on both test benchmarks and rear wing-to-fuselage assembly of an Airbus A350-900. Design/methodology/approach The first considered algorithm is based on a local exhaustive search. It is proved to be efficient and reliable but requires much computational effort. Secondly, the Mesh Adaptive Direct Search (MADS) implemented in NOMAD software (Nonlinear Optimization by Mesh Adaptive Direct Search) is used to apply the powerful mathematical machinery of surrogate modeling and associated optimization strategy. In addition, another popular optimization algorithm called simulated annealing (SA) was implemented. Since a single fastener pattern must be used for the entire aircraft series, cross-validation of obtained results was applied. The available measured initial gaps from 340 different aircraft of the A350-900 series were used. Findings The results indicated that SA cannot be applicable as its random character does not provide repeatable results and requires tens of runs for any optimization analysis. Both local variations (LV) method and MADS have proved to be appropriate as they improved the existing fastener pattern for all available gaps. The modification of the MADS' search step was performed to exploit all the information the authors have about the problem. Originality/value The paper presents deterministic and probabilistic optimization problem formulations and considers three different approaches for their solution. The existing fastener pattern was improved.
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Shehab, E. M., und H. S. Abdalla. „A design to cost system for innovative product development“. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 216, Nr. 7 (01.07.2002): 999–1019. http://dx.doi.org/10.1243/09544050260174201.
Annotation:
This research paper presents a prototype object-oriented and rule-based system for product cost modelling and design for automation at an early design stage. The developed system comprises a computer aided design (CAD) solid modelling system, a material selection module, a knowledge-based system (KBS), a process optimization module, a design for assembly module, a cost estimation module and a user interface. The system development process has passed through four major steps: constructing the knowledge-based and process optimization system; developing a design for assembly module; integrating the KBS with both a material selection database and the CAD system; developing and implementing a fuzzy logic approach to generate reliable estimation of cost and to handle the uncertainty in the cost estimation model that cannot be addressed by traditional analytical methods. Two manufacturing processes, namely machining and injection moulding processes, were considered in the developed system. The main function of the system, besides estimating the product cost, is to generate initial process planning, including the generation and selection of machining processes, their sequence and their machining parameters, and to recommend the most economical assembly technique for a product and provide design improvement suggestions based on a design feasibility technique. In addition, a feature-by-feature cost estimation report is generated using the proposed system to highlight the features of high manufacturing cost. Two case studies were used to validate the developed system.
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Kang, Hehe, und Zhi-Min Li. „Assembly research of aero-engine casing involving bolted connection based on rigid-compliant coupling assembly deviation modeling“. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 234, Nr. 14 (04.03.2020): 2803–20. http://dx.doi.org/10.1177/0954406220910455.
Annotation:
Assembly analysis is necessary for mechanical product to optimize design and improve the product quality since assembly deviation is the key factor affecting the assembly quality. In this paper, the rigid-compliant assembly of thin-walled aero-engine casing is studied to evaluate the assembly quality at the design stage. First, the Jacobian–Torsor model is proposed to construct multistage casing assembly owing to its effectiveness to express assembly deviation. The torsor expression is modified and expanded to present the rigid-compliant coupling tolerance. Then, the partial parallel chain is addressed via combination operation. By using extremum and statistical method, the tolerance zone and the distribution of the objective deviation are obtained. Furthermore, to study the effect of specified compliant deviation on statistical distribution, the bolt looseness and positional deformation are investigated to provide an effective means for geometric deviation and connecting joints of aero-engine casing components of precision assembly. The presented method can address compliant deformation tolerance and geometrical manufacturing tolerance together, and is reliable for casing assembly to predict assembly quality at the design stage. In addition, it also has a great significance to guide tolerance design and product optimization.
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Tsutsumi, Daisuke, Dávid Gyulai, András Kovács, Bence Tipary, Yumiko Ueno, Youichi Nonaka und Kikuo Fujita. „Joint optimization of product tolerance design, process plan, and production plan in high-precision multi-product assembly“. Journal of Manufacturing Systems 54 (Januar 2020): 336–47. http://dx.doi.org/10.1016/j.jmsy.2020.01.004.
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Kowalski, J. „An Operation Strategy for Mathematical Modeling in Optimum Design of Machine Construction“. Journal of Mechanisms, Transmissions, and Automation in Design 107, Nr. 4 (01.12.1985): 463–76. http://dx.doi.org/10.1115/1.3260747.
Annotation:
The paper describes an operation strategy, based on the systems approach, to enable quality control for design of products. The ideas outlined make possible a two-level hierarchic modeling system controlled according to principles of classification of product models. Elements of the optimization theory for model-based design are given, including an application example for the optimum design of a self-loading trailer assembly.
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Sheng, Zhongqi, Lei Zhang, Hualong Xie und Changchun Liu. „Research on Key Technologies of Unit-Based CNC Machine Tool Assembly Design“. Mathematical Problems in Engineering 2014 (2014): 1–12. http://dx.doi.org/10.1155/2014/191069.
Annotation:
Assembly is the part that produces the maximum workload and consumed time during product design and manufacturing process. CNC machine tool is the key basic equipment in manufacturing industry and research on assembly design technologies of CNC machine tool has theoretical significance and practical value. This study established a simplified ASRG for CNC machine tool. The connection between parts, semantic information of transmission, and geometric constraint information were quantified to assembly connection strength to depict the assembling difficulty level. The transmissibility based on trust relationship was applied on the assembly connection strength. Assembly unit partition based on assembly connection strength was conducted, and interferential assembly units were identified and revised. The assembly sequence planning and optimization of parts in each assembly unit and between assembly units was conducted using genetic algorithm. With certain type of high speed CNC turning center, as an example, this paper explored into the assembly modeling, assembly unit partition, and assembly sequence planning and optimization and realized the optimized assembly sequence of headstock of CNC machine tool.
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Xu, Zhonghui, und Ming Liang. „Concurrent Optimization of Product Module Selection and Assembly Line Configuration: A Multi-Objective Approach“. Journal of Manufacturing Science and Engineering 127, Nr. 4 (27.03.2005): 875–84. http://dx.doi.org/10.1115/1.2034513.
Annotation:
Both modular product design and reconfigurable manufacturing have a great potential to enhance responsiveness to market changes and to reduce production cost. However, the two issues have thus far mostly been investigated separately, thereby causing possible mismatch between the modular product structure and the manufacturing or assembly system. Therefore, the potential benefits of product modularity may not be materialized due to such mismatch. For this reason, this paper presents a concurrent approach to the product module selection and assembly line design problems to provide a set of harmonic solutions to the two problems and hence avoid the mismatch between design and manufacturing. The integrated nature of the problem leads to several noncommensurable and often conflicting objectives. The modified Chebyshev goal programming approach is applied to solve the multi-objective problem. A genetic algorithm is further developed to provide quick and near-optimum solutions. The proposed approach and the solution procedure have been applied to an ABS motor problem. The performance of the genetic algorithm has also been examined.
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Yetis, F. A., und K. Saitou. „Decomposition-Based Assembly Synthesis Based on Structural Considerations“. Journal of Mechanical Design 124, Nr. 4 (26.11.2002): 593–601. http://dx.doi.org/10.1115/1.1519276.
Annotation:
This paper presents a method for decomposition of structural products in order to provide the product designer with choices for feasible assemblies. The synthesis of assemblies is done by decomposing a complex structure obtained via structural topology optimization into an assembly of multiple structural members with simpler geometries. The aim is at providing a systematic approach to explore a large number of decompositions prior to the detailed component design phase. Initially, the structure, which is represented as a bitmap image, is transformed to a graph with equivalent topology through application of image processing algorithms. Then, the obtained graph is decomposed by a genetic algorithm into subgraphs using stiffness-based criteria. Results for an example structure are given to clarify and discuss the method.
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Du, Hui, Dacheng Liu und Mian-hao Zhang. „A Hybrid Algorithm Based on Particle Swarm Optimization and Artificial Immune for an Assembly Job Shop Scheduling Problem“. Mathematical Problems in Engineering 2016 (2016): 1–10. http://dx.doi.org/10.1155/2016/3938679.
Annotation:
To produce the final product, parts need to be fabricated in the process stages and thereafter several parts are joined under the assembly operations based on the predefined bill of materials. But assembly relationship between the assembly parts and components has not been considered in general job shop scheduling problem model. The aim of this research is to find the schedule which minimizes completion time of Assembly Job Shop Scheduling Problem (AJSSP). Since the complexity of AJSSP is NP-hard, a hybrid particle swarm optimization (HPSO) algorithm integrated PSO with Artificial Immune is proposed and developed to solve AJSSP. The selection strategy based on antibody density makes the particles of HPSO maintain the diversity during the iterative process, thus overcoming the defect of premature convergence. Then HPSO algorithm is applied into a case study development from classical FT06. Finally, the effect of key parameters on the proposed algorithm is analyzed and discussed regarding how to select the parameters. The experiment result confirmed its practice and effectiveness.
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Süer, Gürsel A., Roohollah Younes Sinaki und Azadeh Sadeghi. „A Hierarchical Hybrid Heuristic-Optimization Approach for Multi-Product Assembly Line Design Problem“. Procedia Manufacturing 39 (2019): 1067–75. http://dx.doi.org/10.1016/j.promfg.2020.01.368.
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Chen, Zhen, und Jianjun Tang. „Aircraft digital assembly process design technology based on 3D Model“. MATEC Web of Conferences 202 (2018): 02004. http://dx.doi.org/10.1051/matecconf/201820202004.
Annotation:
In order to improve the quality, efficiency and cooperativity of aircraft assembly, based on the analysis of the characteristics of aircraft assembly process, a method for assembly process design, simulation and application based on three dimensional (3D) product model was proposed. The basic working process and system structure of the method were introduced, and the 3D digital assembly process planning, design and simulation optimization application mode was explored. This method has been applied in the design of aircraft assembly process, the efficiency and synergy of process design have been greatly improved.