Stochastic models for air cargo terminal manpower supply planning in long-term operations

Shangyao Yan, Chia Hung Chen, Miawjane Chen

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

In this research, based on two deterministic-demand planning models, we established two long-term stochastic-demand planning models by incorporating the stochastic disturbances of manpower demands that occur in actual operations. The models are formulated as mixed integer linear programs that are solved using a mathematical programming solver. To compare the performance of the two stochastic-demand and two deterministic-demand planning models under the stochastic demands that occur in actual operations, we further develop a simulation-based evaluation method. Finally, we perform numerical tests using real operating data from a Taiwan air cargo terminal. The preliminary results show that the stochastic models could be useful for planning air cargo terminal manpower supply.

Original languageEnglish
Pages (from-to)261-275
Number of pages15
JournalApplied Stochastic Models in Business and Industry
Volume24
Issue number3
DOIs
StatePublished - May 2008

Keywords

  • Air cargo terminal
  • Manpower
  • Mixed integer linear program
  • Simulation
  • Stochastic-demand

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