Implementation of cargo revenue management at KLM

Slager, Bart; Kapteijns, Luuk

doi:10.1057/palgrave.rpm.5170096

Cited by 56 publications

(29 citation statements)

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“…The practice of cargo RM is far from such coordination so we aim our models for aircrafts reserved only for cargo transportation. Slager and Kapteijns (2003) describe cargo RM specifically at KLM by focusing on development and implementation of RM processes, and on critical success factors during implementation.…”

Section: Literature Reviewmentioning

confidence: 99%

Optimal solution for a cargo revenue management problem with allotment and spot arrivals

Moussawi-Haidar¹

2014

Transportation Research Part E: Logistics and Transportation Re

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Section: Literature Reviewmentioning

confidence: 99%

Optimal solution for a cargo revenue management problem with allotment and spot arrivals

Moussawi-Haidar¹

2014

Transportation Research Part E: Logistics and Transportation Re

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“…However, the research in cargo overbooking management is still limited except for the following. Slager et al [9] describe the implementation of cargo yield management processes at Royal Aviation Company. Kasilingam [10] discusses the difference between passenger and cargo revenue management.…”

Section: Literature Reviewmentioning

confidence: 99%

Air cargo overbooking model with stochastic capacity and penalty cost under CVaR framework

Lei

Zhou

Wang

2009

2009 IEEE International Conference on Grey Systems and Intelligent Services (GSIS 2009)

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Overbooking has been studied intensively. However, those studies have paid little attention to the effect of penalty cost and degree of airlines' risk aversion on the decision-making. A cost model like a newsboy model is presented for optimal overbooking level of air cargo with stochastic capacity and penalty cost. Then the overbooking model of air cargo was proposed under the Conditional value-at-risk (CVaR) framework. The analytical results show the optimal overbooking level is monotonically decreasing about penalty cost regardless of the airfreight carriers' risk preferences. In contrast, the optimal overbooking level of risk-averse airfreight carriers depends on demand distribution and the degree of risk aversion, which may not be less than that of risk-neutral airfreight carriers.

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“…To directly acquire airspace from carriers, the most common booking method is allotment booking-carriers selling their capacity using a long-term contract (Slager and Kapteijns, 2004;Amaruchkul et al, 2007;Feng et al, 2015a).…”

Section: Introductionmentioning

confidence: 99%

Aggregate–disaggregate approach to an airfreight forwarder’s planning under uncertainty: a case study

Leung¹,

Hui

Chen

et al. 2017

Journal of the Operational Research Society

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Resource planning of airfreight forwarders is a complex endeavor, requiring decisions to be made in a dynamic and uncertain environment. Airfreight forwarders acquire airfreight spaces from three sources: allotment from carriers, retail from carriers and subcontracting to partners, all of which differ in terms of cost, flexibility and timing of booking. This real-life problem has many planning decisions (bookings in terms of carriers, route, time, ULDs, etc.). In this case study, we propose an aggregate-disaggregate approach and focus on the most critical decisions. A two-stage stochastic dynamic program first determines, in aggregates, the amount of allotment bookings, retail resources, and subcontracting or surplus co-loading. Then, a heuristic is used to disaggregate resource requirements into specific bookings. An analysis is provided to examine the relevant managerial issues. Based on real-life data, we show several patterns of aggregate resource bookings with respect to different levels of demand uncertainty and cost parameters. We show that resource disaggregation has to balance costeffectiveness, capacity flexibility and routing flexibility of a resource plan.

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Implementation of cargo revenue management at KLM

Cited by 56 publications

References 0 publications

Optimal solution for a cargo revenue management problem with allotment and spot arrivals

Optimal solution for a cargo revenue management problem with allotment and spot arrivals

Air cargo overbooking model with stochastic capacity and penalty cost under CVaR framework

Aggregate–disaggregate approach to an airfreight forwarder’s planning under uncertainty: a case study

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