Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach

•This study presents a practical problem in intermodal shipment planning vis transfer ports where processing times are random.•Adopts control tower shipment monitoring with recourses.•We formulate a stochastic programming model with scenario generation in examining the worst cases.•Presents an illus...

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Veröffentlicht in:Transportation research. Part E, Logistics and transportation review Jg. 66; S. 83 - 102
Hauptverfasser: Hui, Yer Van, Gao, Jia, Leung, Lawrence, Wallace, Stein
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Exeter Elsevier India Pvt Ltd 01.06.2014
Elsevier Sequoia S.A
Schlagworte:
Freight forwarding
Logistics
Mathematical programming
Scenario generation
Shipment planning
Shipments
Stochastic models
Stochastic programming
Strategic planning
Studies
Scenario generation
Shipment planning
Stochastic programming
ISSN:1366-5545, 1878-5794
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Zusammenfassung:•This study presents a practical problem in intermodal shipment planning vis transfer ports where processing times are random.•Adopts control tower shipment monitoring with recourses.•We formulate a stochastic programming model with scenario generation in examining the worst cases.•Presents an illustrative example with industry data in South China international logistics.•Discusses managerial insights. This paper addresses the shipment planning problem with random processing times in intermodal logistics via transfer ports. Shipment activities are divided into two groups according to regional settings. Activity processing times in region A are assumed to be random while those in region B are deterministic. At the beginning (stage 1), the forwarder assigns agents to all job activities (planning decision). In case a shipment delay is observed, an in-process adjustment (recourse decision) is implemented (stage 2). A two-stage stochastic programming model is established and an illustrative example is discussed. Managerial insights are presented in a simulation study.
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ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2014.03.006