A decision making tool considering risk assessment of sub-contracting agents for an air cargo shipment planning problem

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, the authors 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.

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 01672291
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 19 2018 9:33AM