FUZZY ASSESSMENT OF MANUFACTURABILITY DESIGN FOR MACHINING
Józef MATUSZEK
jmatuszek@ath.bielsko.plUniversity of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała, Poland (Poland)
Tomasz SENETA
University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała (Poland)
Aleksander MOCZAŁA
University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała (Poland)
Abstract
The article attempts to assess the manufacturability design taking into account the assessment due to the processing, assembly process and organization of production. The evaluation was conducted by the fuzzy inference methods. An assessment was presented for machining based on the proposed fuzzy inference database.
Keywords:
manufacturability, fuzzy logicReferences
Deka, A., & Behdad, S. (2019). Part separation technique for assembly-based design in additive manufacturing using genetic algorithm. Procedia Manufacturing, 34, 764–771. https://doi.org/10.1016/j.promfg.2019.06.208
DOI: https://doi.org/10.1016/j.promfg.2019.06.208
Google Scholar
Favi, C., Germani, M., & Mandolini, M. (2016). Design for manufacturing and assembly vs. design to cost: toward a multi-objective approach for decision-making strategies during conceptual design of complex products. Procedia CIRP, 50, 275–280. https://doi.org/10.1016/j.procir.2016.04.190
DOI: https://doi.org/10.1016/j.procir.2016.04.190
Google Scholar
Fernández, A., & Herrera, F. (2012). Linguistic fuzzy rules in data mining: follow-up mamdani fuzzy modeling principle. In: E. Trillas, P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory. Studies in Fuzziness and Soft Computing (vol. 271, pp. 103–122). Berlin, Heidelberg: Springer. https://doi.org/10.1007/978-3-642-24666-1_8
DOI: https://doi.org/10.1007/978-3-642-24666-1_8
Google Scholar
Kuo,B. T. C., Huang, S. H., &Zhang, H.C. (2001). Design for manufacture and design for ‘X’: concepts, applications, and perspectives. Computers & Industrial Engineering, 41(3), 241–260.
DOI: https://doi.org/10.1016/S0360-8352(01)00045-6
Google Scholar
Lalaoui, M., & El Afia, A. (2018). A Fuzzy generalized simulated annealing for a simple assembly line balancing problem. IFAC-PapersOnLine, 51(32), 600–605. https://doi.org/10.1016/j.ifacol.2018.11.489
DOI: https://doi.org/10.1016/j.ifacol.2018.11.489
Google Scholar
Matuszek, J., & Seneta, T. (2017). Evaluation of design manufacturability in new product production launches by Lucas DFA method. Mechanik, 7, 523–525.
DOI: https://doi.org/10.17814/mechanik.2017.7.66
Google Scholar
Matuszek, J., Seneta, T., & Moczała, A. (2018). Evaluation of design manufacturability in assembly processes by modified Lucas Design for Assembly method. Mechanik, 7, 532–534. https://doi.org/10.17814/mechanik.2018.7.75
DOI: https://doi.org/10.17814/mechanik.2018.7.75
Google Scholar
Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. https://doi.org/10.1016/S0019-9958(65)90241-X
DOI: https://doi.org/10.1016/S0019-9958(65)90241-X
Google Scholar
Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning – I. Information Sciences, 8(3), 199–249. https://doi.org/10.1016/0020-0255(75)90036-5
DOI: https://doi.org/10.1016/0020-0255(75)90036-5
Google Scholar
Authors
Józef MATUSZEKjmatuszek@ath.bielsko.pl
University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała, Poland Poland
Authors
Tomasz SENETAUniversity of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała Poland
Authors
Aleksander MOCZAŁAUniversity of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała Poland
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