Abstract
Increasing level of competitiveness in real word cases, forces enterprises to collaborate in multiple dimensions like resource sharing, information sharing, capacity planning and delivery path flexibility. These efforts make the logistics network problem more complex and most of the time impossible to find an optimal solution in a traditional way with acceptable time. In this paper, we present an costumization approach for a memetic algorithm to an integrated forward/reverse supply chain model which is flexible in delivery path. To this end, Taguchi method is adapted to identify the most important parameters and rank the latter. The results are illustrated by a numerical case study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Chan, F., Chung, S.: Multi-criteria genetic optimisation for distribution network problems. Int. J. Adv. Manufact. Technol. 24, 517–532 (2004)
Selim, H., Ozkarahan, I.: A supply chain distribution network design model: an interactive fuzzy goal programming-based solution approach. Int. J. Adv. Manufact. Technol. 35, 401–418 (2008)
Dasci, A., Verter, V.: A continuous model for proproduct-distribution system design. Eur. J. Oper. Res. 129, 278–298 (2001)
Amiri, A.: Designing a distribution network in a supply chain system: formulated and efficient solution procedure. Eur. J. Oper. Res. 171, 567–576 (2006)
Listes, O., Dekker, R.: A stochastic approach to a case study for product recovery network design. Eur. J. Oper. Res. 160, 268–287 (2005)
Pishvaee, M.S., Farahani, R.Z., Dullaert, W.: A memetic algorithm for bi-objective integrated forward/reverse logistics network design. Comput. Oper. Res. 37, 1100–1112 (2010)
Neto, J.Q.F., Walther, G., Bloemhof, J., Nunen, A.E.E.V., Spengler, T.: From closed-loop to sustainable supply chain: the WEEE case. Int. J. Prod. Res. 48(15), 4463–4481 (2010)
Yeh, W.: A hybrid heuristic algorithm for the multistage supply chain network problem. Int. J. Adv. Manufact. Technol. 26, 675–685 (2005)
Jayaraman, V., Patterson, R., Rolland, E.: The design of reverse distribution networks: mmodel and solution procedure. Eur. J. Oper. Res. 150, 128–149 (2003)
Du, F., Evans, G.: A bi-objective reverse logistics network analysis for post-sale service. Comput. Oper. Res. 35, 2617–2634 (2008)
Behmanesh, E., Pannek, J.: A memetic algorithm with extended random path encoding for a closed-loop supply chain model with flexible delivery. J. Logist. Res. 9(22), 1–12 (2016)
Athreya, S., Venkatesh, Y.D.: Application of Taguchi method for optimization of process parameters in imroving the surface roughness of lathe facing operation. Int. Refer. J. Eng. Sci. 1(3), 13–19 (2012)
Zandieh, M., Amiri, M., Vahdani, B., Soltani, R.: A robust parameter design for multi-response problems. J. Comput. Appl. Math. 230, 463–476 (2009)
Taguchi, G., Konishi, S.: Taguchi methods, orthogonal arrays and linear graphs: tools for quality. American supplier institute (1987)
Subulan, K., Tasan, A.S.: Taguchi method for analyzing the tactical planning model in a closed-loop supply chain considering remanufacturing option. Int. J. Adv. Manufact. Technol. 66, 251–269 (2013)
Piotrowski, A.: Review of differential evoluation population size. Swarm Evol. Comput. 32, 1–24 (2017)
Lee, D., Dong, M.: A heuristic approach to logistics network design for end-of lease computer product recovery. Transp. Res. Part E 44, 455–474 (2007)
Behmanesh, E., Pannek, J.: The effect of various parameters of solution method on a flexible integrated supply chain model 2017, submitted
Hedayat, A.S., Sloane, N.J.A.: Orthogonal Arrays: Theory and Applications. Springer verlag, New York (1999)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer International Publishing AG
About this paper
Cite this paper
Behmanesh, E., Pannek, J. (2018). Ranking Parameters of a Memetic Algorithm for a Flexible Integrated Logistics Network. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. LDIC 2018. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-74225-0_10
Download citation
DOI: https://doi.org/10.1007/978-3-319-74225-0_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-74224-3
Online ISBN: 978-3-319-74225-0
eBook Packages: EngineeringEngineering (R0)