Abstract
The supply chain reconfiguration is each time more necessary due to the constant changes in the businesses. More than individual supply chains, nowadays networks appear as the addition of supply chains, with similarities between them. These chains contain different integration drivers, which are called synergistic factors. A procedure to select a configuration for a set of multi-business synergistic chains is developed in this multicriteria problem. Based on a simulation, TOPSIS with AHP is applied to determine the most synergistic and efficient configuration within a set of network alternatives. The pharmaceutical distribution for three kinds of client is used to validate it.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Anich, N., Mateo, M.: Risk analysis in synergic supply chains. In: Garrido Ramos, D.G., Almeida, L. (eds.) Risk Management: An Overview. Nova Publishing, New York (2021)
Anich, N., Mateo, M.: Methodology to treat synergies in distribution to multiple kinds of clients. In: Avilés-Palacios, C., Gutierrez, M. (eds.) Ensuring Sustainability. LNCS. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-95967-8_9
Brusset, X., Teller, C.: Supply chain capabilities, risks, and resilience. Int. J. Prod. Econ. 184, 59–68 (2017)
Calleja, G., Corominas, A., Martínez-Costa, C., de la Torre, R.: Methodological approaches to supply chain design. Int. J. Prod. Res. 56, 4467–4489 (2017)
Colicchia, C., Creazza, A., Menachof, D.A.: Managing cyber and information risks in supply chains: insights from an exploratory analysis. Supply Chain Manag. 24(2), 215–240 (2019)
Corominas, A., Mateo, M., Ribas, I., Rubio, S.: Methodological elements of supply chain design. Int. J. Prod. Res. 53(16), 5017–5030 (2015)
Hwang, C.L., Yoon, K.: Multiple Attribute Decision Making: Methods and Applications A State-of-the-Art Survey. Springer, New York (1981). https://doi.org/10.1007/978-3-642-48318-9
Ivanov, D., Dolgui, A., Sokolov, B., Ivanova, M.: Literature review on disruption recovery in the supply chain. Int. J. Prod. Res. 55(20), 6158–6174 (2017). https://doi.org/10.1080/00207543.2017.1330572
Koohathongsumrit, N., Meethom, W.: Route selection in multimodal transportation networks: a hybrid multiple criteria decision-making approach. J. Ind. Prod. Eng. 38(3), 171–185 (2021)
Saaty, T.L.: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York (1980)
Shanker, S., Sharma, H., Barve, A.: Assessment of risks associated with third-party logistics in restaurant supply chain. Benchmarking Int. J. 28(8), 2432–2464 (2021)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Anich, N., Mateo-Doll, M. (2024). Quantitative Procedure for the Redesign of a Multiple Supply Chains Based on Synergies. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_58
Download citation
DOI: https://doi.org/10.1007/978-3-031-57996-7_58
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-57995-0
Online ISBN: 978-3-031-57996-7
eBook Packages: EngineeringEngineering (R0)