FUZZY ASSESSMENT OF MANUFACTURABILITY DESIGN FOR MACHINING

Józef MATUSZEK

jmatuszek@ath.bielsko.pl
University 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 logic

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

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Published
2019-09-30

Cited by

MATUSZEK, J. ., SENETA, T. ., & MOCZAŁA, A. (2019). FUZZY ASSESSMENT OF MANUFACTURABILITY DESIGN FOR MACHINING. Applied Computer Science, 15(3), 45–55. https://doi.org/10.23743/acs-2019-20

Authors

Józef MATUSZEK 
jmatuszek@ath.bielsko.pl
University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała, Poland Poland

Authors

Tomasz SENETA 

University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała Poland

Authors

Aleksander MOCZAŁA 

University of Bielsko-Biala, Faculty of Mechanical Engineering and Computer Science, Willowa 2, 43-309 Bielsko-Biała Poland

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