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Increasing efficiency of flexible manufacturing systems based on computer product grouping

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Języki publikacji
EN
Abstrakty
EN
The central problem of the paper is grouping details in the conditions of FMS (flexible manufacturing system). The criteria for forming rational detail groups were identified and. The statistical analysis of details characteristics was based on the database of products for the electronic industry. The paper proposes a mathematical method of grouping using accumulated data on the processing objects, which employs the group-ing criteria. By employing such an approach we are presented with details grouped according to normative indicators of FMS equipment loading or minimum loss on their readjustment within the group of technological adjusting for every robotic technological complex (RTC).
Twórcy
  • Lutsk National Technical University, Lvivska St. 75, Lutsk, Ukraine
  • Lublin University of Technology, Nadbystrzycka 36, 20-618 Lublin, Poland
  • Lutsk National Technical University, Lvivska St. 75, Lutsk, Ukraine
Bibliografia
  • 1. Opitz H., A classifscation System to Describe Workpiece,. Pergamon Press Ltd., Oxford, England, 1970.
  • 2. Nieszporek T., Boral P., The technology of variable-pitch cone worms in plastic extruding presses. Metalurgija, 52(3), 363-367.
  • 3. Boral P., Nieszporek T., Geometric analysis of plasticizing system in the extruder consisting of two cone worms. Polimery, 57(7-8), 571-576.
  • 4. Groover M.P., Zimmers E.W., CAD/CAM: computer-aided design and manufacturing. New Jersey, Prentice-Hall, 1984.
  • 5. Opitz H., Wiendahl H.P., Group Technology and Manufacturing Systems for Medium Quantity Production, Intern. Journal of Prod. Res., 9(1), 1971, 181-203.
  • 6. Palchevsky B., Swic А., Krestianpol H., Computer integrated designing of flexible manufacturing systems, Lublin University of Technology, Lublin 2015.
  • 7. Kusiak A., The generalized group technology concept, International Journal of Production Research, 25, 1987, 561-569.
  • 8. Gola A., Świć A., Kramar V., A multiple-criteria approach to machine-tool selection for focused flexible manufacturing systems, Management & Production Engineering Review, 2(4), 2011, 21-32.
  • 9. Shargal M., Evaluation of search algorithms and clustering efficiency measures for machine-part matrix clustering. IIE Transactions, 27, 1995, 43-59.
  • 10. Pukhovsky Ye.S., Grouping technological objects and solutions in the design of FMS. Bulletin of NTUU “KPI”, 6, 2009, 14-20.
  • 11. Gola A., Swic A., Algorithm for generation of technological paths in the process of selection of machine tools, Business management, 1, 2011, 8-16.
  • 12. Epifanov V.V., Grouping of details such as bodies of rotation using cluster analysis, Mechanician, 2, 2004, 34-38.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-134b9d72-0683-4005-af20-f0f6dd640a11
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