Abstract
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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
