Dynamic simulation model of air cargo demand forecast and terminal capacity planning

被引:50
|
作者
Suryani, Erma [1 ,2 ]
Chou, Shuo-Yan [1 ]
Chen, Chih-Hsien [3 ]
机构
[1] Natl Taiwan Univ Sci & Technol, Dept Ind Management, Taipei 106, Taiwan
[2] Inst Teknol Sepuluh Nopember, Dept Informat Syst, Jl Raya Its 60111, Surabaya, Indonesia
[3] Fo Guang Univ, Dept Management, Jiaosi Shiang 26247, Yilan County, Taiwan
关键词
Air cargo; Demand forecast; Terminal capacity expansion; System dynamics; Scenario analysis; GROWTH;
D O I
10.1016/j.simpat.2012.05.012
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper establishes an approach to forecast air cargo demand related to terminal capacity expansion. To balance capacity and demand, it is required to forecast the future demand based on optimistic and pessimistic projections to decide when and how much, the airport should expand the capacity. System dynamics simulation model can provide reliable forecast and generate scenarios to test alternative assumptions and decisions. It was found that GDP and FDI play an important role in fostering the demand. Terminal expansion would be required in 2018 based on the optimistic projection; meanwhile, based on pessimistic projection, the capacity can meet demand in 2030, which means no need to increase the capacity. (c) 2012 Elsevier B.V. All rights reserved.
引用
收藏
页码:27 / 41
页数:15
相关论文
共 50 条
  • [31] SIMULATION-MODEL FOR PLANNING THE CAPACITY OF ASSEMBLY SYSTEMS
    SAUER, H
    WERKSTATTSTECHNIK ZEITSCHRIFT FUR INDUSTRIELLE FERTIGUNG, 1984, 74 (07): : 419 - 422
  • [32] Mechanism Design for Capacity Planning Under Dynamic Evolutions of Asymmetric Demand Forecasts
    Oh, Sechan
    Ozer, Ozalp
    MANAGEMENT SCIENCE, 2013, 59 (04) : 987 - 1007
  • [33] A Simulation Based Approach to forecast a Demand Load Curve for a Container Terminal using Battery Powered Vehicles
    Grundmeier, Nico
    Ihle, Norman
    Hahn, Axel
    Runge, Serge
    Meyer-Barlag, Claas
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 1711 - 1718
  • [34] Toward a Simulation Model for Capacity Analysis of a New Port Terminal
    Bergeron, Erik
    Gagnon, Leo
    Audy, Jean-Francois
    Forget, Pascal
    Lamghari, Amina
    ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V, 2021, 634 : 526 - 535
  • [35] A multistage stochastic programming model for the network air cargo allocation under capacity uncertainty
    Delgado, Felipe
    Trincado, Ricardo
    Pagnoncelli, Bernardo K.
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2019, 131 : 292 - 307
  • [36] A model for robust capacity planning for telecommunications networks under demand uncertainty
    Ouorou, A.
    Vial, J. -Ph.
    DRCN: 2007 6TH INTERNATIONAL WORKSHOP ON THE DESIGN OF RELIABLE COMMUNICATION NETWORKS, 2007, : 262 - +
  • [37] The Stochastic model of multi-leg capacity allocation for air cargo revenue management
    Luo, Li
    Shi, Xianyong
    2006 INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS, 2006, : 917 - 921
  • [38] Dynamic Path Planning Model for Intelligent Air Vehicle
    Chen, Zhuo
    Zhang, Jie
    Ni, Weijun
    PROCEEDINGS OF 2020 IEEE 4TH INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2020), 2020, : 1884 - 1889
  • [39] A simulation and analytic hierarchy process based decision support system for air cargo warehouse capacity design
    Sencer, Asli
    Karaismailoglu, Adnan
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2022, 98 (03): : 235 - 255
  • [40] A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating
    Liu, Ming
    Zhang, Ding
    JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2016, 67 (06) : 841 - 852