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.
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 |
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Article number | 102202 |
Journal | Transportation Research, Part E: Logistics and Transportation Review |
Volume | 147 |
Early online date | 20 Jan 2021 |
DOIs | |
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