Abstract
This paper presents a mathematical model to optimize the supply chain design considering a planning horizon with multiple periods and backlogging. The objective function aims to minimize the sum of transportation, inventory holding and backlogging costs. The model is represented in a graph, generalizing a minimum cost flow problem. A study case for a manufacturing company is presented and results are analyzed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ng, M., Lo, H.K.: Robust models for transportation service network design. Transp. Res. Part B: Methodol. 94, 378–386 (2016)
Cleophas, C., Cottrill, C., Ehmke, J.F., Tierney, K.: Collaborative urban transportation: recent advances in theory and practice. Eur. J. Oper. Res. (2018, in press). https://doi.org/10.1016/j.ejor.2018.04.037
Król, A.: The application of the artificial intelligence methods for planning of the development of the transportation network. Transp. Res. Procedia 14, 4532–4541 (2016). Transport Research Arena TRA2016
Stathopoulos, A., Cirillo, C., Cherchi, E., Ben-Elia, E., Li, Y.-T., Schmöcker, J.-D.: Innovation adoption modeling in transportation: New models and data. J. Choice Model. 25, 61–68 (2017). IATBR 2015–14th International Conference on Travel Behaviour Research (IATBR)
Mejjaouli, S., Babiceanu, R.F.: Cold supply chain logistics: system optimization for real-time rerouting transportation solutions. Comput. Ind. 95, 68–80 (2018)
Garcia, D.J., You, F.: Supply chain design and optimization: challenges and opportunities. Comput. Chem. Eng. 81, 153–170 (2015)
Eskandarpour, M., Dejax, P., Miemczyk, J., Péton, O.: Sustainable supply chain network design: an optimization-oriented review. Omega 54, 11–32 (2015)
Govindan, K., Soleimani, H., Kannan, D.: Reverse logistics and closed-loop supply chain: a comprehensive review to explore the future. Eur. J. Oper. Res. 240(3), 603–626 (2015)
Farahani, R.Z., Rezapour, S., Drezner, T., Fallah, S.: Competitive supply chain network design: an overview of classifications, models, solution techniques and applications. Omega 45, 92–118 (2014)
Bloemhof, J.M., Soysal, M.: Sustainable food supply chain design. In: Bouchery, Y., Corbett, C.J., Fransoo, J.C., Tan, T. (eds.) Sustainable Supply Chains. SSSCM, vol. 4, pp. 395–412. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-29791-0_18
Varsei, M., Polyakovskiy, S.: Sustainable supply chain network design: a case of the wine industry in Australia. Omega 66, 236–247 (2017)
Jabbarzadeh, A., Fahimnia, B., Seuring, S.: Dynamic supply chain network design for the supply of blood in disasters: a robust model with real world application. Transp. Res. Part E: Logist. Transp. Rev. 70, 225–244 (2014)
Hasani, A., Khosrojerdi, A.: Robust global supply chain network design under disruption and uncertainty considering resilience strategies: a parallel memetic algorithm for a real-life case study. Transp. Res. Part E: Logist. Transp. Rev. 87, 20–52 (2016)
Pishvaee, M., Razmi, J., Torabi, S.: An accelerated benders decomposition algorithm for sustainable supply chain network design under uncertainty: a case study of medical needle and syringe supply chain. Transp. Res. Part E: Logist. Transp. Rev. 67, 14–38 (2014)
Kaligari, E.P., Guerrero, W.J.: Métodos de optimización para el problema de ruteo de vehículos con inventarios y ventanas de tiempo duras. Revista Ingeniería Industrial 14(3), 31–49 (2015)
Bullock, J.A., Haddow, G.D., Coppola, D.P.: Transportation safety and security. In: Bullock, J.A., Haddow, G.D., Coppola, D.P. (eds.) Homeland Security, 2nd edn., pp. 169–188. Butterworth-Heinemann (2018)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
López Bello, C.A., Guerrero, W.J., Rodríguez Molano, J.I. (2018). Modeling Strategy for Supply Chain Design Considering Multiple Periods and Backlogging. In: Figueroa-García, J., Villegas, J., Orozco-Arroyave, J., Maya Duque, P. (eds) Applied Computer Sciences in Engineering. WEA 2018. Communications in Computer and Information Science, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-00353-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-00353-1_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-00352-4
Online ISBN: 978-3-030-00353-1
eBook Packages: Computer ScienceComputer Science (R0)