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 |
| Number of pages | 26 |
| Journal | Transportation Research, Part E: Logistics and Transportation Review |
| Volume | 147 |
| Early online date | 20 Jan 2021 |
| DOIs | |
| Publication status | Published - Mar 2021 |
Bibliographical note
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Funder
FCTFunding
| Funders | Funder number |
|---|---|
| Fundação para a Ciência e a Tecnologia | |
| European Regional Development Fund |
Keywords
- Cold chain management (CCM)
- Freshness time window
- Hierarchical hub location problem
- Operational hub
- Perishable goods
ASJC Scopus subject areas
- Business and International Management
- Civil and Structural Engineering
- Transportation