Cold chain management in hierarchical operational hub networks

Yalda Esmizadeh; Mahdi Bashiri; Hamed Jahani; Bernrdo Almada-Lobo

doi:10.1016/j.tre.2020.102202

Cold chain management in hierarchical operational hub networks

Yalda Esmizadeh, Mahdi Bashiri, Hamed Jahani, Bernrdo Almada-Lobo

Research output: Contribution to journal › Article › peer-review

Abstract

This paper proposes a multi-objective mixed-integer linear programming to model a cold chain with complementary operations on a hierarchical hub network. Central hubs are linked to each other in the ﬁrst level of
the network and to the star network of the lower-level hubs. As for a case study, diﬀerent hub levels provide various refreshing or freezing operations to keep the perishable goods fresh along the network. Disruption is formulated by the consideration of stochastic demand and multi-level freshness time windows. Regarding the solution, a genetic algorithm is also developed and compared for competing the large-sized networks.

Original language	English
Article number	102202
Journal	Transportation Research, Part E: Logistics and Transportation Review
Volume	147
Early online date	20 Jan 2021
DOIs	https://doi.org/10.1016/j.tre.2020.102202
Publication status	E-pub ahead of print - 20 Jan 2021

Keywords

Cold chain management (CCM)
Hierarchical hub location problem
Operational hub
Perishable goods
Freshness time window

Access to Document

10.1016/j.tre.2020.102202

Embargoed Document

Cold_chain_management_in_hierarchical_operational_hub_networks
Accepted author manuscript, 655 KB
Licence: CC BY-NC-ND
Embargo ends: 20/01/22

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abstract = "This paper proposes a multi-objective mixed-integer linear programming to model a cold chain with complementary operations on a hierarchical hub network. Central hubs are linked to each other in the ﬁrst level ofthe network and to the star network of the lower-level hubs. As for a case study, diﬀerent hub levels provide various refreshing or freezing operations to keep the perishable goods fresh along the network. Disruption is formulated by the consideration of stochastic demand and multi-level freshness time windows. Regarding the solution, a genetic algorithm is also developed and compared for competing the large-sized networks.",

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AU - Jahani, Hamed

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