Fuzzy assessment of manufacturability design for machining

• Autorzy: Matuszek Józef , Seneta Tomasz , Moczała Aleksander

Identyfikatory

DOI

10.23743/acs-2019-20

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

manufacturability; fuzzy logic

PL

produktywność; logika rozmyta

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2019
• Tom: Vol. 15, no 3
• Strony: 45--55
• Opis fizyczny: Bibliogr. 9 poz., fig., tab.

Twórcy

autor

Matuszek Józef

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

autor

Seneta Tomasz

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

autor

Moczała Aleksander

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

Bibliografia

• [1] Deka, A., & Behdad, S. (2019). Part separation technique for assembly-based design in additive manufacturing using genetic algorithm. Procedia Manufacturing, 34, 764–771. doi:10.1016/j.promfg.2019.06.208
• [2] 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. doi:10.1016/j.procir.2016.04.190
• [3] 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.), Combin-ing Experimentation and Theory. Studies in Fuzziness and Soft Computing (vol. 271, pp. 103–122). Berlin, Heidelberg: Springer. doi:10.1007/978-3-642-24666-1_8
• [4] 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.
• [5] Lalaoui, M., & El Afia, A. (2018). A Fuzzy generalized simulated annealing for a simple assembly line balancing problem. IFAC-PapersOnLine, 51(32), 600–605. doi:10.1016/j.ifacol.2018.11.489
• [6] Matuszek, J., & Seneta, T. (2017). Evaluation of design manufacturability in new product production launches by Lucas DFA method. Mechanik, 7, 523–525.
• [7] 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. doi:10.17814/mechanik.2018.7.75
• [8] Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8(3), 338–353. doi:10.1016/S0019-9958(65)90241-X
• [9] Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning – I. Information Sciences, 8(3), 199–249. doi:10.1016/0020-0255(75)90036-5

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).