| Autor: |
Kulak, O, Genc, A, Taner, ME |
| Jazyk: |
angličtina |
| Rok vydání: |
2018 |
| Předmět: |
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| Popis: |
Development of an efficient shipment plan for air cargo forwarders is a critical to obtaining considerable integration and consolidation savings and to meeting competitive requirements such as target costs. In this paper, we propose a decision making tool to solve a deterministic air cargo shipment planning problem with risk assessment of sub-contracting agents evaluating possible consolidations and integrations. The decision making tool consists of a risk assessment module based on historical data and a shipment planning module that includes a genetic algorithm (GA). Various benchmark instances are generated based on real life data obtained from a worldwide air cargo company to investigate the performance of the proposed methodology. In conclusion, the proposed methodology provide effective solutions in terms of solution quality and computational time. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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