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
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
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
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
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
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
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
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
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
