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Stochastic models for air cargo terminal manpower supply planning in long‐term operations
Author(s) -
Yan Shangyao,
Chen ChiaHung,
Chen Miawjane
Publication year - 2008
Publication title -
applied stochastic models in business and industry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.413
H-Index - 40
eISSN - 1526-4025
pISSN - 1524-1904
DOI - 10.1002/asmb.710
Subject(s) - solver , terminal (telecommunication) , computer science , operations research , stochastic programming , term (time) , mathematical optimization , stochastic modelling , manpower planning , integer programming , air cargo , linear programming , economics , engineering , mathematics , transport engineering , algorithm , telecommunications , physics , finance , quantum mechanics , programming language
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. Copyright © 2008 John Wiley & Sons, Ltd.