Abstract
This paper concerns an optimization method applied to the design for manufacturing (DFM) of aircraft structural parts. Today, the aerospace industry has to produce aircraft less and less costly. Usual design and manufacturing process are not sufficiently efficient. A dedicated DFM method ensures that all manufacturing requirements are taken into account at the design stage. However, all requirements cannot be satisfied together; thus the best compromise must be found. The proposed approach is based on the formulation of 5 design and manufacturing performance indicators to be satisfied. From the geometrical modelling of the problem, an NSGA II genetic algorithm computes a population of one thousand permissible solutions. Thus, a decision process is applied to identify the best compromise according to the behaviour of the decision maker, using Topsis and the AHP method. This methodology is applied in an industrial context to an aircraft structural part manufactured by stamping and machining. The optimal part geometry is then calculated for three different airplane configurations. Such tests are used to extract geometric design rules. In addition, the paper highlights the impact of the user’s behaviour on the computed results.
Similar content being viewed by others
References
Ben Ammar, O.: Planification des réapprovisionnements sous incertitudes pour les systèmes d’assemblage à plusieurs niveaux. PhD diss., Ecole des Mines de Saint-Etienne (2014)
D’Addona, D.M., Roberto, T.R.: Genetic algorithm-based optimization of cutting parameters in turning processes. Procedia CIRP 7, 323–328 (2013). https://doi.org/10.1016/j.procir.2013.05.055
Hnaien, F., Delorme, X., Dolgui, A.: Multi-objective optimization for inventory control in two-level assembly systems under uncertainty of lead times. Comput. Oper. Res. 37(11), 1835–1843 (2010). https://doi.org/10.1016/j.cor.2009.06.002
Kianfar, F., Mokhtari, G.: Lot Sizing and lead time quotations in assembly systems. Sci. Iran. 16(2), 100–113 (2009)
Perkgoz, C., Azaron, A., Katagiri, H., Kato, K., Sakawa, M.: A multi objective lead time control problem in multi-stage assembly systems using genetic algorithms. Eur. J. Oper. Res. 180(1), 292–308 (2007)
Bhoskar, T., Kulkarni, O.K., Kulkarni, N.K., Patekar, S.L., Kakandikar, G.M., Nandedkar, V.M.: Genetic algorithm and its applications to mechanical engineering: a review. Mater. Today: Proc. 2, 2624–2630 (2015). https://doi.org/10.1016/j.matpr.2015.07.219
Prasad, D., Ratnab, S.: Decision support systems in the metal casting industry: an academic review of research articles. Mater. Today: Proc. 5, 1298–1312 (2018)
Asodariyaa, H., Patela, H.V., Babariyaa, D., Maniya, K.D.: Application of multi criteria decision making method to select and validate the material of a flywheel design. Mater. Today: Proc. 5, 17147–17155 (2018)
Mendi, F., Başkal, T., Boran, K., Boran, F.E.: Optimization of module, shaft diameter and rolling bearing for spur gear through genetic algorithm. Expert Syst. Appl. 37(12), 8058–8064 (2010). https://doi.org/10.1016/j.eswa.2010.05.082
Sun, X., Yoon, J.Y.: Multi-objective optimization of a gas cyclone separator using genetic algorithm and computational fluid dynamics. Powder Technol. 325, 347–360 (2018). https://doi.org/10.1016/j.powtec.2017.11.012
Tao, J., Wang, H., Liao, H., Yu, S.: Mechanical design and numerical simulation of digital-displacement radial piston pump for multi-megawatt wind turbine drivetrain. Renew. Energy 143, 995–1009 (2019). https://doi.org/10.1016/j.renene.2019.04.159
Saaty, T.L.: The Analytic Hierarchy Process. McGrow-Hill, New York (1980)
Kubler, S., Robert, J., Derigent, W., Voisin, A., Le Traon, Y.: A state-of the-art survey & testbed of fuzzy AHP (FAHP) applications. Expert Syst. Appl. 65, 398–422 (2016)
Sapuan, S.M., Mansor, M.R.: Concurrent engineering approach in the development of composite products: a review. Mater. Des. 58, 161–167 (2014)
Deb, K., Pratap, A., Agarwal, S., Meyarivan, T.: A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE Trans. Evol. Comput. 6(2), 182–197 (2002)
Chevrier, R., Liefooghe A., Jourdan J., Dhaenens, C.: On optimizing a demand responsive transport with an evolutionary multi-objective approach. In: IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 575–580 (2010)
Lacomme, P., Prins, C., Sevaux, M.: A genetic algorithm for a bi-objective capacitated arc routing problem. Comput. Oper. Res. 33(12), 3473–3493 (2006)
Sharma, S., Ukkusuri, S., Mathew, T.: Pareto optimal multiobjective optimization for robust transportation network design problem. Transp. Res. Record: J. Transp. Res. Board 2090, 95–104 (2009). https://doi.org/10.3141/2090-11
Vaidya, O.S., Kumar, S.: Analytic hierarchyprocess: an overview of applications. Eur. J. Oper. Res. 169(1), 1–29 (2006)
Hammami, A.: Modélisation Technico Economique d’une Chaîne Logistique dans une Entreprise Réseau. PhD diss., Université Jean Monnet (2013)
Hwang, C.-L., Yoon, K.: Multiple Attribute Decision Multiple Attribute Decision Making: Methods and Applications a State-of-the-Art Survey. Springer, New York (1981)
Behzadian, M., Otaghsara, S.K., Yazdani, M., Ignatius, J.: A state of the-art survey of TOPSIS applications. Expert Syst. Appl. 39(17), 13051–13069 (2012). https://doi.org/10.1016/j.eswa.2012.05.056
Mardani, A., Jusoh, A., Zavadskas, Edmundas Kazimieras: Fuzzy multiple criteria decision-making techniques and applications—two decades review from 1994 to 2014. Expert Syst. Appl. (2015). https://doi.org/10.1016/j.eswa.2015.01.003
Favi, C., Germani, M., Mandolini, M.: A multi-objective design approach to include material, manufacturing and assembly costs in the early design phase. Procedia CIRP 52, 251–256 (2016). https://doi.org/10.1016/j.procir.2016.07.043
Mistry, M., Gandhi, F., Chandr, R.: Twist control of an I-beam through Vlasov bimoment actuation. In: 49th Structures, Structural Dynamics, and Materials Conference (2008) https://doi.org/10.2514/6.2008-2278
Stark, J.: Product Lifecycle Management. Springer, Berlin (2015)
Dobbst, M.W., Nelson, R.B.: Minimum weight design of stiffened panels with fracture constraints. Comput. Struct. 8(6), 753–759 (1977)
Loughlan, J., Hussain, N.: The in-plane shear failure of transversely stiffened thin plates. Thin-Walled Struct. 81, 225–235 (2014)
Wang, W., Guo, S., Chang, N., Yang, W.: Optimum buckling design of composite stiffened panels using ant colony algorithm. Compos. Struct. 92(3), 712–719 (2010). https://doi.org/10.1016/j.compstruct.2009.09.018
Bedair, O.K.: The elastic behaviour of multi-stiffened plates under uniform compression. Thin walled Struct. 27(4), 311–335 (1997)
Herencia, J.E., Weaver, P.M., Friswell, M.: Initial sizing optimisation of anisotropic composite panels with T-shaped stiffeners. Thin-Walled Struct. 46(4), 399–412 (2008)
Iuspa, L.: Free topology generation of self-stiffened panels using skeleton-based integral soft objects. Comput. Struct. 158, 184–210 (2015). https://doi.org/10.1016/j.compstruc.2015.06.013
Yin, H., Yu, X.: Integration of manufacturing cost into structural optimization of composite wings. Chin. J. Aeronaut. 23(6), 670–676 (2010)
Boothroyd, G.: Product design for manufacture and assembly. Comput. Aided Des. 26(7), 505–520 (1994)
Hazony, Y.: Design for manufacturing. In: Handbook of Design, Manufacturing and Automation. Chapter 8, pp. 123–137. Boston: Wiley (1994)
Andersson, F., Hagqvist, A., Sundin, E., Björkman, M.: Design for manufacturing of composite structures for commercial aircraft—the development of a DFM strategy at SAAB aerostructures. Procedia CIRP 17, 362–367 (2014)
Hoque, A.S.M., Szecsi, T.: Designing using manufacturing feature library. J. Mater. Process. Technol. 201(1–3), 204–208 (2008)
Triantaphyllou, E.: Using the analytic hierarchy process for decision making in engineering applications: some challenges. Int. J. Ind. Eng. Appl. Pract. 2, 35–44 (1995)
Sanchis, J.M.: El Poliedro del Problema del Cartero Rural. PhD diss., Universidad de Valencia (1990)
Jozefowiez, N.: Optimisation Combinatoire Multi-objectif: Des Méthodes aux Problèmes, de la Terre à (presque) la Lune. Habilitation à diriger des recherches INP, Toulouse (2015)
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Fortunet, C., Durieux, S., Chanal, H. et al. Multicriteria decision optimization for the design and manufacture of structural aircraft parts. Int J Interact Des Manuf 14, 1015–1030 (2020). https://doi.org/10.1007/s12008-020-00685-6
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12008-020-00685-6