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A C Rochacampos - One of the best experts on this subject based on the ideXlab platform.
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late paleozoic exhumed glacial erosive landscape in salto sp
Anais Da Academia Brasileira De Ciencias, 2002Co-Authors: Juliana B Viviani, A C RochacamposAbstract:SUMMARY OF COMMUNICATIONS stone with dropstone on the roche moutonnee from Salto,to cross-bedded and “convoluted” sandstone beds in theriver channel, toward NW. They are interpreted as proxi-mal and distal glacial facies respectively, associated withan advance and retreat of the glacier.Those rocks are overlain by an extensive andthick shale (pellitic) section that may representthe deposit of a marine transgressive post-glacialepisode. Dropstones in the shale denote presenceof icebergs and permanence of glacial influence dur-ing sedimentation. — ( December 14, 2001 ). ∗ Supported by FAPESP 00/6039-6.**E-mail: jbviviani@aol.com MULTIDISCIPLINARY THEMES Alcides N. Sial and Valderez P. Ferreira(Organizers) EFFICIENT ALGORITHMS FOR PACKING BoxesINTO CONTAINER Sostenes L. S. Lins Departamento de Matematica, CCEN, Universidade Federalde Pernambuco, Recife, PE, Brazil. The problem of packing Boxes into bigger Boxes(Containers) is a practical problem which, by its economi-cal significance, deserves a serious and inspired scientificapproach. From a strictly mathematical point of view, itis an incredibly challenging problem which badly needsgood heuristics to solve it. We have been involved in try-ing to find such heuristics since 1997. These heuristicsuse new concepts in graph theory (the tets), in data struc-ture (the phormas), and used some classical algorithms astopological sorting and the coding of combinatorial ob-jects to approach real world packing problems. A distin-guished feature of our approach is the visual treatment ofthe spatial packing: we produce a sequence of homoge-neous increments (a loading plan) in the packings whichmakes it easy to visualize and to actually produce the so-lutions found.We have produced a set of effective heuristics fordealing with real world box packing problems: we permitvarious types of Boxes, various types of Containers, de-mand requirements on the Boxes and the information onwhichboxtypescanchangeitsverticaldirection. Theim-plementation of our heuristics produces very good pack-ings as compared with non-scientific ones: typically weput 7% to 12% more Boxes. The full paper related to thesematters is scheduled to be published this year (2002) inthe European Journal of Operations Research.A computer package named ExpedPlex is under de-velopment, where the pertinent algorithms are being effi-ciently implemented. — (
Juliana B Viviani - One of the best experts on this subject based on the ideXlab platform.
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late paleozoic exhumed glacial erosive landscape in salto sp
Anais Da Academia Brasileira De Ciencias, 2002Co-Authors: Juliana B Viviani, A C RochacamposAbstract:SUMMARY OF COMMUNICATIONS stone with dropstone on the roche moutonnee from Salto,to cross-bedded and “convoluted” sandstone beds in theriver channel, toward NW. They are interpreted as proxi-mal and distal glacial facies respectively, associated withan advance and retreat of the glacier.Those rocks are overlain by an extensive andthick shale (pellitic) section that may representthe deposit of a marine transgressive post-glacialepisode. Dropstones in the shale denote presenceof icebergs and permanence of glacial influence dur-ing sedimentation. — ( December 14, 2001 ). ∗ Supported by FAPESP 00/6039-6.**E-mail: jbviviani@aol.com MULTIDISCIPLINARY THEMES Alcides N. Sial and Valderez P. Ferreira(Organizers) EFFICIENT ALGORITHMS FOR PACKING BoxesINTO CONTAINER Sostenes L. S. Lins Departamento de Matematica, CCEN, Universidade Federalde Pernambuco, Recife, PE, Brazil. The problem of packing Boxes into bigger Boxes(Containers) is a practical problem which, by its economi-cal significance, deserves a serious and inspired scientificapproach. From a strictly mathematical point of view, itis an incredibly challenging problem which badly needsgood heuristics to solve it. We have been involved in try-ing to find such heuristics since 1997. These heuristicsuse new concepts in graph theory (the tets), in data struc-ture (the phormas), and used some classical algorithms astopological sorting and the coding of combinatorial ob-jects to approach real world packing problems. A distin-guished feature of our approach is the visual treatment ofthe spatial packing: we produce a sequence of homoge-neous increments (a loading plan) in the packings whichmakes it easy to visualize and to actually produce the so-lutions found.We have produced a set of effective heuristics fordealing with real world box packing problems: we permitvarious types of Boxes, various types of Containers, de-mand requirements on the Boxes and the information onwhichboxtypescanchangeitsverticaldirection. Theim-plementation of our heuristics produces very good pack-ings as compared with non-scientific ones: typically weput 7% to 12% more Boxes. The full paper related to thesematters is scheduled to be published this year (2002) inthe European Journal of Operations Research.A computer package named ExpedPlex is under de-velopment, where the pertinent algorithms are being effi-ciently implemented. — (
Oliveira, João Pedro Da Silva - One of the best experts on this subject based on the ideXlab platform.
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Melhoria do processo de cálculo de capacidade técnica numa empresa de componentes eletrónicos da indústria automóvel
2025Co-Authors: Oliveira, João Pedro Da SilvaAbstract:Dissertação de mestrado integrado em Engenharia e Gestão IndustrialO projeto de dissertação apresentado foi desenvolvido no âmbito do Mestrado Integrado em Engenharia e Gestão Industrial (MIEGI), da Universidade do Minho. Este projeto foi desenvolvido na Bosch Car Multimédia Portugal S.A, no departamento MFE2-SE1 que tem como uma das suas funções a análise de capacidade técnica de todas as linhas de produção. Neste sentido o projeto tem como objetivo principal a melhoria do processo de cálculo de capacidade técnica com foco na melhoria dos valores de capacidade obtidos, e na diminuição do tempo do processo. A metodologia de investigação utilizada na dissertação foi a investigação-ação partindo assim da análise do processo já existente para posteriormente implementar melhorias. Na análise foram evidenciados alguns problemas no processo, sendo o mais evidente o elevado tempo despendido ao longo do mesmo. Ao analisar este problema detetou-se que um dos fatores para o elevado tempo de processo é a falta de organização e duplicação dos dados. Assim, de forma a encontrar soluções para este problema foi utilizada a metodologia Lean Office que visa a eliminação de desperdícios nas áreas indiretas. Para diminuir o tempo de processo foram também utilizadas macros no excel de forma a diminuir as tarefas manuais do utilizador, softwares como o CPLEX para diminuir o tempo na distribuição de quantidades pelas linhas de produção e o PowerBI para a melhoria na apresentação de dados e gráficos. Para além das ações referidas foi desenvolvido um projeto piloto de simulação, em SIMIO, que visa também colmatar um dos problemas encontrados no processo de cálculo atual que é a interligação entre processos de produção. Este software de simulação providencia também uma análise dos supermercados intermédios, milk runs e quantidade de caixas/Containers disponíveis. Com a implementação das ações acima referidas foi possível uma redução de 9.5 horas na duração do processo de cálculo de capacidade, representando uma melhoria de 73%. Estas medidas também se traduzem numa diminuição de 78% nos custos associados à utilização dos colaboradores no processo de cálculo de capacidade. Quanto à exatidão dos dados foi conseguida uma melhoria no que diz respeito ao apuramento da disponibilidade, com diferenças que ultrapassam as 35 horas mensais.The presented dissertation project was developed in the scope of the Integrated Master of Engineering and Industrial Management (MIEGI) of Minho University. This project was conducted in Bosch Car Multimedia Portugal S.A, in MFE2-SE1 department which has in its functions the technical capacity analysis of all the production lines. Thus, the project has as main objective the improvement of the technical capacity calculation process with focus on the improvement of the obtained capacity values and the process time decrease. The investigation methodology used in the dissertation was action-research starting by analyzing the existing process to posteriorly implement improvements. In the analysis, some process problems were highlighted, as the long time spent during it being the most evident one. Analyzing this problem, it was noticed that one factor that influenced the long time spent was the lack of organization and data duplication. So, in order to find solutions to this problem, Lean office methodology was used as it focus on eliminating wastes on indirect areas. To reduce the process time, some macros in excel were used in a way that the manual tasks done by the user could be reduced, software like CPLEX to diminish the time of distributing the quantities per production lines and PowerBI to improve the data and graphics presentation. In addition to the mentioned tasks a pilot project of simulation was developed, in SIMIO, that also focus on eliminating the lack of connection between productive processes, which is one of the problems found in the actual calculation process. This simulation software also analyze the intermediate supermarkets, milk runs and available quantity of Boxes/Containers. By implementing the actions mentioned above was possible to achieve a reduction of 9.5 hours in the duration of the capacity calculation process, which represents an improvement of 73%. These measures also translate into a 78% reduction in the costs related to the use of contributors in the capacity calculation process. Regarding the data accuracy, an improvement on calculating the production lines availability was achieved, with differences of 35 monthly hours