Thematische Bibliographien / Optimization of scrap

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Auswahl der wissenschaftlichen Literatur zum Thema „Optimization of scrap“

Autor: Grafiati

Veröffentlicht am 28. Juni 2021

Zuletzt aktualisiert am 2. Februar 2022

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Zeitschriftenartikel zum Thema "Optimization of scrap"

Li, Yifeng, Xunpeng Qin, Zhenyuan Zhang und Huanyu Dong. „A robust identification method for nonferrous metal scraps based on deep learning and superpixel optimization“. Waste Management & Research: The Journal for a Sustainable Circular Economy 39, Nr. 4 (26.01.2021): 573–83. http://dx.doi.org/10.1177/0734242x20987884.

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End-of-life vehicles (ELVs) provide a particularly potent source of supply for metals. Hence, the recycling and sorting techniques for ferrous and nonferrous metal scraps from ELVs significantly increase metal resource utilization. However, different kinds of nonferrous metal scraps, such as aluminium (Al) and copper (Cu), are not further automatically classified due to the lack of proper techniques. The purpose of this study is to propose an identification method for different nonferrous metal scraps, facilitate the further separation of nonferrous metal scraps, achieve better management of recycled metal resources and increase sustainability. A convolutional neural network (CNN) and SEEDS (superpixels extracted via energy-driven sampling) were adopted in this study. To build the classifier, 80 training images of randomly chosen Al and Cu scraps were taken, and some practical methods were proposed, including training patch generation with SEEDS, image data augmentation and automatic labelling methods for enormous training data. To obtain more accurate results, SEEDS was also used to optimize the coarse results obtained from the pretrained CNN model. Five indicators were adopted to evaluate the final identification results. Furthermore, 15 test samples concerning different classification environments were tested through the proposed model, and it performed well under all of the employed evaluation indexes, with an average precision of 0.98. The results demonstrate that the proposed model is robust for metal scrap identification, which can be expanded to a complex industrial environment, and it presents new possibilities for highly accurate automatic nonferrous metal scrap classification.

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Govindarajalu, V., und V. S. Senthil Kumar. „Web Based Dss for Inventory and Scrap Optimization in a Printing & Packaging Industry“. Advanced Materials Research 335-336 (September 2011): 599–605. http://dx.doi.org/10.4028/www.scientific.net/amr.335-336.599.

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This paper proposes a genetic algorithm based optimization of the product and scrap inventory levels in a printing and packaging industry so as to minimize total supply chain cost. The scrap optimization procedures are in the primitive level of implementation in the industries. Determining optimal levels of scrap inventory enables the industries to attack the problem of high scrap and high inventory, thus enables the industries to make quick and sound decisions regarding the production of paper boards in a printing and packaging industry.

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Chen, Xian Xian, und Xin Zhong Lu. „The TSP Method in the Application of the Scraps of Paper Splicing“. Applied Mechanics and Materials 513-517 (Februar 2014): 2668–71. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.2668.

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This paper discusses the regular longitudinalcutting torn scraps of paper splicing. The degree of similarity of two scraps is acquired according to their pixel characteristics. Then this splicing problem can be converted into TSP problem and the Optimization Model can be established. After the leftist torn scrap of paper been found, the remaining paper can be attached one by one according to the pixel characteristics. Finally, the best algorithm of single page Stitching recovery is given by this paper.

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Bonnin, Marie, Catherine Azzaro-Pantel, Serge Domenech und Jacques Villeneuve. „Multicriteria optimization of copper scrap management strategy“. Resources, Conservation and Recycling 99 (Juni 2015): 48–62. http://dx.doi.org/10.1016/j.resconrec.2015.03.013.

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Miletic, I., R. Garbaty, S. Waterfall und M. Mathewson. „MODEL-BASED OPTIMIZATION OF SCRAP STEEL PURCHASING“. IFAC Proceedings Volumes 40, Nr. 11 (2007): 263–66. http://dx.doi.org/10.3182/20070821-3-ca-2919.00039.

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Jain, P., P. Fenyes und R. Richter. „Optimal Blank Nesting Using Simulated Annealing“. Journal of Mechanical Design 114, Nr. 1 (01.03.1992): 160–65. http://dx.doi.org/10.1115/1.2916910.

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By reducing scrap, high volume stamped parts can be produced more economically. Scrap rate is heavily influenced by the nesting, or positioning, of the blanks onto the stock. Blank nesting is often done manually, resulting in inefficient nestings with high scrap rates. We have developed an automated nesting system which minimizes the scrap for continuous strip stamping processes. Using an integer grid technique, we compute the overlap between blanks and then apply simulated annealing, a probabilistic global optimization technique, to determine a new nesting with zero overlap and minimal scrap. We present several examples to illustrate the method.

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Taszner, Z., Alfred Ender und Oszkár Grega. „Development of Scrap Evaluation Algorithm to Optimize the Converter Charge Composition“. Materials Science Forum 537-538 (Februar 2007): 701–8. http://dx.doi.org/10.4028/www.scientific.net/msf.537-538.701.

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Analysing the function of steel scrap and understanding its influence on development, are the main problems which interests the steel producers of the world. To create such an essay, the analysis of the actual developments of the quantities, the qualities and compositions of the used scrap types should be continuously monitored in the world’s steel industry. Series of local experiments and evaluating statistics focusing on process optimization by scrap have been done at ThyssenKrupp Steel. This includes the current study based on the records of scrap charges. In the following paper the development of an indirect scrap evaluation algorithm will be discussed, compared with results of the common ways.

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Панов, Євген Миколайович, М. Ф. Боженко, С. В. ДАНИЛЕНКО und В. П. БОЯНІВСЬКИЙ. „OPTIMIZATION OF FURNACES DESIGN FOR MELTING ALUMINIUM SCRAP“. Proceedings of the NTUU “Igor Sikorsky KPI”. Series: Chemical engineering, ecology and resource saving, Nr. 1 (13.05.2017): 27–35. http://dx.doi.org/10.20535/2306-1626.1.2017.119465.

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Huang, Jiu, Chaorong Xu, Zhuangzhuang Zhu und Longfei Xing. „Visual-Acoustic Sensor-Aided Sorting Efficiency Optimization of Automotive Shredder Polymer Residues Using Circularity Determination“. Sensors 19, Nr. 2 (12.01.2019): 284. http://dx.doi.org/10.3390/s19020284.

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To reduce the emissions and weight of vehicles, manufacturers are incorporating polymer materials into vehicles, and this has increased the difficulty in recycling End-of-Life vehicles (ELVs). About 25–30% (mass) of an ELV crushed mixture is the unrecyclable material known as automotive shredder residues (ASRs), and most of the vehicle polymers are concentrated in this fraction. Thus, these vehicle polymers are conventionally disposed of in landfills at a high risk to the environment. The only way to solve this problem is through the development of a novel separation and recycling mechanism for ASRs. Our previous research reported a novel sensor-aided single-scrap-oriented sorting method that uses laser-triangulation imaging combined with impact acoustic frequency recognition for sorting crushed ASR plastics, and we proved its feasibility. However, the sorting efficiencies were still limited, since, in previous studies, the method used for scrap size determination was mechanical sieving, resulting in many deviations. In this paper, a new method based on three-dimensional (3D) imaging and circularity analysis is proposed to determine the equivalent particle size with much greater accuracy by avoiding the issues that are presented by the irregularity of crushed scraps. In this research, two kinds of commonly used vehicle plastics, acrylonitrile-butadiene-styrene (ABS) and polypropylene (PP), and their corresponding composite materials, acrylonitrile-butadiene-styrene/polycarbonate (ABS/PC) and polypropylene/ethylene-propylene-diene-monomer (PP/EPDM), were studied. When compared with our previous study, with this new method, the sorting efficiency increased, with PP and PP/EPDM and ABS and ABS/PC achieving about 15% and 20% and 70% and 90%, respectively. The sorting efficiency of ASR polymer scraps can be optimized significantly by using sensor-aided 3D image measurement and circularity analysis.

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Lv, Shengping, Binbin Zheng, Hoyeol Kim und Qiangsheng Yue. „Data Mining for Material Feeding Optimization of Printed Circuit Board Template Production“. Journal of Electrical and Computer Engineering 2018 (2018): 1–17. http://dx.doi.org/10.1155/2018/1852938.

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Improving the accuracy of material feeding for printed circuit board (PCB) template orders can reduce the overall cost for factories. In this paper, a data mining approach based on multivariate boxplot, multiple structural change model (MSCM), neighborhood component feature selection (NCFS), and artificial neural networks (ANN) was developed for the prediction of scrap rate and material feeding optimization. Scrap rate related variables were specified and 30,117 samples of the orders were exported from a PCB template production company. Multivariate boxplot was developed for outlier detection. MSCM was employed to explore the structural change of the samples that were finally partitioned into six groups. NCFS and ANN were utilized to select scrap rate related features and construct prediction models for each group of the samples, respectively. Performances of the proposed model were compared to manual feeding, ANN, and the results indicate that the approach exhibits obvious superiority to the other two methods by reducing surplus rate and supplemental feeding rate simultaneously and thereby reduces the comprehensive cost of raw material, production, logistics, inventory, disposal, and delivery tardiness compensation.

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Mehr Quellen

Dissertationen zum Thema "Optimization of scrap"

Wang, Weifeng. „Cost optimization of scrap when making steel with an electric arc furnace“. Thesis, McGill University, 2012. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=110703.

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In steel production, an electric arc furnace (EAF) is most commonly used to melt raw material in order to produce liquid steel. Scrap is the main raw material which differs in regard to the content of iron and of some chemical elements. The price of scrap depends on these attributes. In order to obtain the desired quality and quantity, each melting bath unit of steel has either its own material constraints or the constraints for electric arc furnace such as the capacity of EAF. In addition, the availability and transportation of scrap are also restricted because they need space. The research in this thesis is to create an optimization model which minimizes the cost of raw material and charges the EAF efficiently while meeting the constraints of the scrap recipe and scrap transportation system. This problem is a combinational optimization problem and the model is developed based on linear programming theory. The running speed of the model is reasonably guaranteed by properly designing the combinatorial structure with branch and bound rules and heuristics. Finally, a software is created by representing the model in the spreadsheet, which can be used in real, everyday production. Simulation results show significant improvement compared to the strategy applied today at ArcelorMittal(Contrecoeur, Quebec): the cost of scrap steel is reduced by 2 to 6% and the time of charging buckets is 2 to 10 minutes faster.
Dans la production d'acier, four à arc électrique (FEA) est la technologie la plus couramment utilisée pour faire fondre les matières premières afin de obtenir de l'acier liquide. La ferraille est la matière première principale dont les types se diffèrent selon le contenu de fer et d'autres éléments chimiques. Le prix de la ferraille dépend de ces attributs. Afin d'obtenir la qualité et la quantité souhaitées, chaque unité bain de fusion de l'acier a subi à ses propres contraintes matérielles ou des contraintes liées au four à arc électrique, telles que la capacité du FEA. En outre, la disponibilité et la capacité à transporter de la ferraille sont également limitées, en raison d'espace limité. L'objectif dans cette thèse est de créer un modèle d'optimisation qui minimise le coût des matières premières et charge le FEA efficacement afin de satisfaire des contraintes de la recette de ferraille et de transport de ferraille. Le modèle est développé sur la base de théorie de la programmation linéaire. La vitesse de l'exécution du modèle est raisonnablement garantie par une bonne conception de la structure combinatoire avec les règles de 'branch and bound' et heuristiques. Enfin, un logiciel qui applique le modèle est créé. Celui-ci peut être utilisé dans la production réelle quotidienne. Les résultats des simulations montrent une amélioration significative par rapport aux pratiques actuelles de planification de production appliquée aujourd'hui dans ArcelorMittal (Contrecoeur, Quebec): le coût de la ferraille est réduite de 2 à 6 pour cent et le temps de godets de charge est de 2 à 10 minutes plus vite.

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Lao, Weng Chon. „Degradation of scrap tyres by bacillus sp.–optimization of major environmental parameters and identification of potential growth substrates“. Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950673.

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CHANDRA, SHANTANU. „CONCURRENT LINEAR OPTIMIZATION MODEL FOR DESIGN AND MANUFACTURING TOLERANCES WITH PROCESS AND MACHINE SELECTION INCORPORATING SCRAP RATES AND MACHINE BREAKDOWN“. University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1029345023.

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Berzins, Louise, und Josefine Sohlman. „Linjär blandningsoptimering för skrotanvändning i aluminiumproduktion“. Thesis, KTH, Hållbar produktionsutveckling (ML), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254223.

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Målet har varit att öka andelen skrotanvändning i omsmältan med hjälp av linjärprogrammering som en optimering vid en aluminiumindustri, vilket uppnåddes. Det har gjorts en nulägesanalys om hur aluminium används, hur produktionen fungerar samt var det faller ut skrot. Följande har en teoretisk referensram upprättats med källor från tidigare problem som lösts med linjärprogrammering, en beskrivning av linjärprogrammering och en matematisk uppställning. Det har också beskrivits hur problemet ställts upp, vilka infallsvinklar som använts och de resultat som optimeringen gett. Det har även gjorts arbete kring den måluppfyllande optimeringen som presenterats efter resultatet, vilket följs av en diskussion och slutsats med rekommendationer för framtida arbete inom ämnet. Optimeringen är gjord både mot volym som målfunktion, vilket ger en ökad användning av skrotet, och med pris som målfunktion, som bidrar till en minskad kapitalbindning i skrotet som finns kvar. Dagslägets användning av skrot uppgår till cirka 30 % per år medan optimeringsmodellen gjord på endast 17 av 72 recept skulle kunna få i så mycket som 90 % av hela årets producerade skrot. En optimering på endast ett recept visar också på att det är möjligt att smälta om och producera gjutlegeringar bestående av hög andel enbart skrot.
The aim with this project was to increase the amount of used scrap in the remelt of aluminum alloys by using linear programming, which was successfully done. A status analysis about the average use and characteristics of aluminum has been described, as well as a mapping of the todays industry within the company. This is followed by a theoretical chapter containing references from previous work solved with linear programming, and a description of LP including the mathematical model. The attempt to solve this problem is carefully shown in the forthcoming chapters together with the different approaches that were used. The results are presented with analysis of each optimization, followed by a discussion and a conclusion including future recommendations. The model is used with two different objective functions to get perspective, volume to maximize the amount of used scrap and price to increase use of high valued alloys in order to decrease capital accumulation within the non-used scrap. The remelt process of today consumes about 30 % of the total scrap produced during one year. This model shows that it is possible, by having 17 out of 72 recipes, to use 90 % of all scrap. One optimization for a single recipe also proved that it is possible to produce an alloy consisting of basically scrap.

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Ferrary, Felipe Rodrigues. „Apoio à tomada de decisão e minimização da perda de matéria prima em processos de manufatura“. Universidade do Vale do Rio dos Sinos, 2015. http://www.repositorio.jesuita.org.br/handle/UNISINOS/4678.

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Submitted by Maicon Juliano Schmidt (maicons) on 2015-08-05T14:54:29Z No. of bitstreams: 1 Felipe Rodrigues Ferrary_.pdf: 7904559 bytes, checksum: c792687a5d6af3c5b496d85e12b9f21e (MD5)
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O estudo a seguir tem por objetivo otimizar e tornar automatizado um sistema de manufatura que utiliza chapas como matéria prima. A preparação do processo de manufatura através do sistema CAM analisado atualmente possui diversas etapas que não possuem comunicação entre si, além disso, exige um alto nível de intervenção do usuário em suas tomadas de decisão. Esse processo deve ser unificado de forma a buscar um resultado aprimorado, com base nos critérios de otimização propostos. As etapas do processo de manufatura envolvendo chapas são analisadas ao longo do trabalho, passando por etapas iniciais como a definição das peças que devem ser produzidas, etapas intermediárias como o processo de otimização de peças (nesting) e sua respectiva parametrização, e a etapa final, ou seja, a obtenção do código NC para a produção das peças. Para otimizar tais etapas, é proposto um sistema de apoio à tomada de decisão, com características híbridas, formado por um sistema especialista e por técnicas de otimização, tais como metaheurísticas. O método proposto aprimora os resultados através da parametrização automatizada utilizando o sistema de apoio à tomada de decisão, definindo a melhor parametrização com base nos produtos a serem manufaturados, reduzindo assim a necessidade de decisões manuais e, por conseguinte, a interferência do usuário no processo e, ainda, eliminando a necessidade do mesmo ser um especialista. Essa automação deve analisar as possíveis chapas em estoque assim como parâmetros oferecidos pelo processo de nesting e buscar a melhor configuração para o processo, analisando possíveis permutações. Além disso, é proposta a adição de um novo componente nas etapas de manufatura, responsável por analisar as sobras aproveitáveis do processo e organizar a sucata gerada pelo mesmo, tornando-a disponível para ser reutilizada futuramente. Analisando o SAD implementado, foi possível observar que os resultados obtidos foram satisfatórios e, em muitos casos, superiores aos obtidos em outros testes realizados na literatura. Além disso, a aceitação do sistema pelos usuários que realizaram os testes de performance e viabilidade de uso foi considerada excelente. Conforme apontado pelos usuários, o número de parâmetros a ser selecionado reduziu drasticamente, tornando assim o sistema mais simples de ser utilizado.
The following work aims to optimize and make automated a manufacturing system that uses metal plates as raw material. The analysed process currently has several steps with no communication between each other, moreover requires a high level of user’s intervention in their decision making. This process must be unified in order to achieve the optimal result based on the optimization criteria proposed. The analysed processes throughout this work address all stages of the manufacturing process involving plates, going through the initial stages as the definition of the parts to be produced, intermediate steps as the process of optimizing parts (nesting) and its parameters and final step, i.e., obtaining the CN code for the production of parts. To optimize these steps, a method of hybrid solution using a system to support the decision making aided by an expert system and known optimization (such metaheuristics) is proposed. The proposed method will improve the results through an automated parameterization using the system to support the decisions making, defining the best parameter based on the products to be manufactured, thus reducing the need for manual decisions and therefore the user input in the process and eliminating the need for an expert to be the same. This automation should analyse the possible plates in stock as well as parameters offered by the nesting process and seek the best configuration for the process, analyzing possible permutations. Furthermore, we propose the addition of a new component in the steps of manufacturing, responsible for analysing the process remains usable and organize the scrap generated by it, making it available for reuse in the future. Through the proposed system, good and relevant results were obtained. In several cases the obtained results are better than results in the literature. In addition, the acceptance of the system by users who performed performance system tests was considered excellent. As pointed by these users, the number of parameters to be selected has drastically reduced, thus making the system simpler to use.

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Ujčík, Miroslav. „Návrh automatického lisu“. Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2021. http://www.nusl.cz/ntk/nusl-443743.

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The master's thesis deals with the design of a press, which will be part of a robotic workplace. This workplace is designed for a company operating as a subcontractor for the automotive industry, for which automation is one of the most important processes of development and increasing labor productivity. The robotized cell is part of a line for heat treatment of plastic tube semi-finished products. The cell itself is used to press the conical extension of the pipe ends using a steel mandrel. In order to manipulate the parts, the corresponding end effectors of robots are designed in the work, which safely load and remove parts from the automated press. Design and control calculations are supplemented by finite element strength analysis in Solidworks. A drawing documentation is also made in this program. The work is performed with regard to the requirements of technologists and the quality department.

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Cerejeira, Hugo Manuel Lima Goncalves. „Optimization of scrap reduction in ContiSeal's process“. Dissertação, 2015. https://repositorio-aberto.up.pt/handle/10216/92933.

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Cerejeira, Hugo Manuel Lima Goncalves. „Optimization of scrap reduction in ContiSeal's process“. Master's thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/92933.

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Kuo, Yi-Yu, und 郭奕裕. „Optimization problem for multiple items production with scrap in supply chain environment with n delivery policy“. Thesis, 2011. http://ndltd.ncl.edu.tw/handle/19127405404425293058.

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碩士
朝陽科技大學
工業工程與管理系碩士班
99
Products are going exquisite nowadays, so a production with small amount of diversification is requested. This study reviews the delivery system of various products for many times. To evaluate the strategy to know what amount the production by batch and what way the delivery in order to reach the optimum. In the case study regarding the type of traditional inventory management, Conventional assumption is the indefectible production and one time delivery. So there are a lot of differences between traditional inventory model and practical conditions. It is impossible to produce goods without any defected in reality. To deliver all the done goods continuously is not always true and practical. The different way to produce and deliver goods is requested by various products in this study. Under the consideration of pursuiting the lowest and best total cost. There are different ways to products and delivery. This research focuses on the study of producing the various goods by batch and delivering the goods separately to meet customer’s need. We will recommend and build up the analysis model by way of mathematics. The model includes the stock cost of manufacturing and customer’s site, and the objective is to derive the best production lot and the best production cycle. Practice examples are provided to demonstrate usages of research result, which should become good reference for practitioners in making such a decision.

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Lin, Jne-Shun, und 林仁順. „Optimization problem of (n+1) deliveries strategy for EPQ model with scrap in the supply chain environment“. Thesis, 2010. http://ndltd.ncl.edu.tw/handle/52600803129075265844.

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碩士
朝陽科技大學
工業工程與管理系碩士班
98
This paper explores the optimal production quantity and optimal distribution strategies based on the (n+1) distribution model of imperfection production system. Generally, the cases in the inventory management course mainly focus on either perfect production or individual situation. However, the situations we take into account are very different from those actually happen in the real business field leading to defective items from the actual production. In addition, the production is not distributed together after the production process is completely finished. There are different production methods regarding different products. The distribution methods can vary while considering a variety of cost. Therefore, those cases we have studied can not provide us the actual picture of the production. This study applies different distribution method- manufacturers will conduct first distribution after spending t time for the production in order to satisfy customer’s need within t1. Next, we will apply quantitative method to conduct n distribution. Mathematical model structure is taken into account including promoting inventory cost to both manufacturers and customers. We expect to get the optimal production quantity and optimal number of distribution with the minimum inventory cost. Therefore, cost-effectiveness from the actual cases will be analyzed to provide more options in different business situations.

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Buchteile zum Thema "Optimization of scrap"

Ezeddini, Sonia, Emin Bayraktar, I. Miskioglu und D. Katundi. „Optimization of Laser Cutting Parameters for Tailored Behaviour of Scrap (Ti6242 + Ti) Based Composites Through Semisolid Sintering“. In Mechanics of Composite and Multi-functional Materials, Volume 6, 131–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-63408-1_13.

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„Scrap and Rework Reduction“. In Cost Reduction and Optimization for Manufacturing and Industrial Companies, 166–77. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470643815.ch19.

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Konferenzberichte zum Thema "Optimization of scrap"

Renyang, Liu, Li Qingmin und Zhou Liang. „Inventory optimization for repairable spares with scrap during the mission“. In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7531999.

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Akbarzadeh, Rokhsareh, Qusai Ibrahim, Joshua Adeniran, Peter Oviroh und Tien-Chien Jen. „Optimization of Mg Scraps Hydrolysis for Hydrogen Generation Using HCl: Experimental and Simulation“. In ASME 2019 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/imece2019-10580.

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Abstract Worldwide concerns on environmental pollution and the need for clean energy supply have attracted researchers’ interest for power generation using technology which not only is a clean technology but also utilizes the Mg scrap waste, a part of solid waste from electronic and automobile industries. The Mg scraps have been used for the hydrogen generation via hydrolysis. In an attempt we conducted the experimental study and optimization of hydrolysis of Mg scraps waste in the presence of HCl to generate hydrogen. This work optimizes the process of using Mg scraps to produce H2, Mg(OH)2 and MgCl2. The effect of different concentration of HCl on hydrolysis was studied to find the optimum concentration for the hydrogen generation. The most influencing parameters such as acid concentration of solution was selected and studied. The kinetic behaviour was analysed to determine the effect of different HCl concentration on hydrogen generation pattern. Numerical modeling was performed considering the chemical reaction using ReaxFF. The effect of the selected parameters on the system and the hydrogen concentration were investigated to predict the performance of the hydrolysis of Mg scraps in the designed reactor. This study proposes an eco-efficient method as it utilizes the Mg waste to produce hydrogen which is an energy carrier.

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Anggraini, Lydia, und Ventika Aurora Pratiwi. „Machine Tonnage Optimization by Reused Scrap Material Applied for Car Propeller Shaft Guard“. In 2019 International Conference on Sustainable Engineering and Creative Computing (ICSECC). IEEE, 2019. http://dx.doi.org/10.1109/icsecc.2019.8907150.

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Riesbeck, Johan, Philip Lingebrant, Erik Sandberg und Chuan Wang. „Energy System Optimization for a Scrap Based Steel Plant Using Mixed Integer Linear Programming“. In World Renewable Energy Congress – Sweden, 8–13 May, 2011, Linköping, Sweden. Linköping University Electronic Press, 2011. http://dx.doi.org/10.3384/ecp110571676.

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Da-lin, Zhu, Qin Jin-yi, Wang Hong-mei, Huang Jin und Zhang Ming-song. „Optimization design of hydraulic scrap iron&steel grasping crane based on virtual prototype“. In 2011 IEEE 2nd International Conference on Computing, Control and Industrial Engineering (CCIE 2011). IEEE, 2011. http://dx.doi.org/10.1109/ccieng.2011.6008003.

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Jain, P., P. Fenyes und R. Richter. „Optimal Blank Nesting Using Simulated Annealing“. In ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0057.

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Abstract Since the cost of high volume stamped parts is largely dependent on material usage, scrap minimization is a primary goal of the design process. Although many factors influence the scrap rate for a given stamping, one of the most critical is the actual nesting, or positioning, of the part blanks onto the metal strip or sheet stock. Blank nesting is often done by hand, resulting in inefficient nestings with high scrap rates. Greater material efficiency can be achieved by automating this process. We have developed an automated system based on mathematical programming techniques which optimizes blank nestings for continuous strip stamping processes. We formulate the problem by first describing the geometry of the part or parts to be nested for stamping and specifying an initial layout. We use a novel integer grid technique to efficiently and accurately compute the overlap between parts and then apply simulated annealing, a probabilistic global optimization technique, to determine a new part layout with zero overlap and minimal scrap. Using representative part configurations, we present several examples illustrating the efficient nestings produced using this method.

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Damiano, Patrizio, Marco Ansoldi, Manuele Piazza, Danieli Tolazzi und Kuran Orhan. „LATEST RESULTS IN EAF OPTIMIZATION OF SCRAP-BASED MELTING PROCESS:Q-MELT INSTALLATION IN KROMAN CELIK“. In 48º Seminário de Aciaria, Fundição e Metalurgia de Não-Ferrosos. São Paulo: Editora Blucher, 2017. http://dx.doi.org/10.5151/1982-9345-30560.

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Brusa, Eugenio G. M., Nicola Bosso, Nicolò Zampieri, Stefano Morsut und Maurizio Picciotto. „Electromechanical Coupled Response of the AC Electric Arc Furnace Structures During the Scrap Melting Process“. In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82366.

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Prediction of structural dynamics of the Electric Arc Furnace (EAF) is rather difficult, because of a number of phenomena occurring during the scrap melting process. Three large electrodes, corresponding to each phase of a AC circuit, are lowered by the main mast towards the scrap to activate the melting process, induced by the electric arc. Electric current fed to each electrode produces a strong magnetic field and applies an electromechanical force on the other electrodes. Arc voltage looks irregular upon time, even because of the scrap motion within the vessel and temperature growth. The vertical position of the mast is controlled by an hydraulic actuator. Nevertheless, a heavy vibration of the structures affects the regularity of the melting process. A fully coupled model of the whole system is herein proposed, through a multi-physics approach. A first analytical approach, describing the electric circuit of the whole system, is implemented into a Multi Body Dynamics (MBD) model of the EAF, while a reduced Finite Element Method (FEM) model of the flexible structures is used for a preliminary optimization of the design parameters. Electromechanical forces due to the mutual induction among the electrodes are computed and the dynamic response of the system is investigated. Proposed model allows a first refinement of the EAF design, although a complete experimental validation on the real machine has to be performed, in spite of problems due the extremely difficult accessibility of structures during the melting process.

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Sahay, Chittaranjan, Devdas Shetty, Suhash Ghosh, Mohammed Islam und Mark Turner. „Optimization of Assembly and Disassembly of GP7200 Engine“. In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-87774.

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Build studies were conducted on three different GP7200 engines at a local aircraft engine manufacturer to reduce cost while improving quality, reducing time (cycle time, takt time and lead time), reducing scrap, rework and reducing injuries (increased safety). The paper describes the development of an efficient and effective Dress and Strip process. This project incorporated standard concepts including, DIVE (Define, Investigate, Verify, Ensure), Takt time, Set-Up Reduction, 6S (Sort, Straighten, Shine, Standardize, Sustain and Safety), Kaizen, Quality control & Quality Information System (QIS) and Quality Clinic Process Charting program (QCPC). Seven Wastes (Overproduction, waiting for the next process, unnecessary transportation of materials, over processing of parts due to poor tool and product design, excess inventories, unnecessary movement, and defective parts from supplier), Standard Work, Total Productive Maintenance (TPM) and Value Stream Mapping (VSM) were used in the project. In addition, tools such as, Relentless Root Cause Analysis (RRCA), Root Cause Corrective Action (RCCA) and Mistake Proofing (MP) have been used in conjunction with other quality tools. Following the successful optimization of the process of assembly and disassembly of these engines, several recommendations were made including redesign of some assembly and disassembly tools. The paper presents an improved Assembly/ Disassembly spaghetti diagram and changes in tool design based on observations.

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Shu, Lily H., und Woodie C. Flowers. „Towards Life-Cycle Fastening and Joining Cost Optimization Using Genetic Algorithms“. In ASME 1996 Design Engineering Technical Conferences and Computers in Engineering Conference. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-detc/dfm-1709.

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Abstract This paper extends from our previous results which suggest that fastening and joining methods preferred for assembly and scrap-material recycling do not necessarily facilitate remanufacture. We identify, through collaboration with three remanufacturing companies, primary factors that determine the life-cycle fastening and joining cost of products that are remanufactured. These factors, that also determine life-cycle joint reliability, are the fastening or joining method specified during design, the disassembly and reassembly method used during remanufacture, and the repair policy. A reliability model was applied to describe the failure characteristics of the joint so that part failure and replacement costs can be estimated over a specified length of product service. We then present an illustrative sample search space and the resulting life-cycle costs. A larger search space would require the use of optimization methods to minimize life-cycle costs. The fastening and joining plan, consisting of the above three factors, is represented for genetic algorithm optimization to be used on larger search spaces in the future.

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