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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Airfreight forwarder’s shipment planning under uncertainty: a two-stage stochastic programming approach. / Van Hui, Yer; Gao, Jia; Leung, Lawrence et al.
In: Transportation Research Part E: Logistics and Transportation Review, Vol. 66, 06.2014, p. 83-102.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Van Hui, Y, Gao, J, Leung, L & Wallace, SW 2014, 'Airfreight forwarder’s shipment planning under uncertainty: a two-stage stochastic programming approach', Transportation Research Part E: Logistics and Transportation Review, vol. 66, pp. 83-102. https://doi.org/10.1016/j.tre.2014.03.006

APA

Van Hui, Y., Gao, J., Leung, L., & Wallace, S. W. (2014). Airfreight forwarder’s shipment planning under uncertainty: a two-stage stochastic programming approach. Transportation Research Part E: Logistics and Transportation Review, 66, 83-102. https://doi.org/10.1016/j.tre.2014.03.006

Vancouver

Van Hui Y, Gao J, Leung L, Wallace SW. Airfreight forwarder’s shipment planning under uncertainty: a two-stage stochastic programming approach. Transportation Research Part E: Logistics and Transportation Review. 2014 Jun;66:83-102. doi: 10.1016/j.tre.2014.03.006

Author

Van Hui, Yer ; Gao, Jia ; Leung, Lawrence et al. / Airfreight forwarder’s shipment planning under uncertainty : a two-stage stochastic programming approach. In: Transportation Research Part E: Logistics and Transportation Review. 2014 ; Vol. 66. pp. 83-102.

Bibtex

@article{16aaca3f74234df4b9d6667c25b553cc,
title = "Airfreight forwarder{\textquoteright}s shipment planning under uncertainty: a two-stage stochastic programming approach",
abstract = "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.",
keywords = "Shipment planning, Stochastic programming, Scenario generation",
author = "{Van Hui}, Yer and Jia Gao and Lawrence Leung and Wallace, {Stein W.}",
year = "2014",
month = jun,
doi = "10.1016/j.tre.2014.03.006",
language = "English",
volume = "66",
pages = "83--102",
journal = "Transportation Research Part E: Logistics and Transportation Review",
issn = "1366-5545",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - Airfreight forwarder’s shipment planning under uncertainty

T2 - a two-stage stochastic programming approach

AU - Van Hui, Yer

AU - Gao, Jia

AU - Leung, Lawrence

AU - Wallace, Stein W.

PY - 2014/6

Y1 - 2014/6

N2 - 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.

AB - 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.

KW - Shipment planning

KW - Stochastic programming

KW - Scenario generation

U2 - 10.1016/j.tre.2014.03.006

DO - 10.1016/j.tre.2014.03.006

M3 - Journal article

VL - 66

SP - 83

EP - 102

JO - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

SN - 1366-5545

ER -