Disasters represent a significant challenge for countries globally. Balancing human and material resources during these situations is not a trivial issue, and that is further complicated by the participation of several actors at multiple periods. However, there is an absence of articles considering the importance of deploying only the required organisations for response activities depending on the conditions and the stage of the disaster. This research proposes a dynamic model to support disaster response which incorporates human and material resources from multiple organisations. The multi-modal, multi-commodity optimisation model supports resource allocation and relief distribution decisions through the maximisation of the level of service provided to disaster victims and the minimisation of cost. The model is the first dynamic formulation in the literature with the ability to optimise the number, type and stage of deployment of organisations required according to the circumstances of the emergency. The model has been applied to two major floods that have occurred in Mexico in recent years. Each case was tested using three different scenarios to investigate the ability of the model to handle different conditions. The results of both cases were compared to scenarios with independent participation from each organisation and an instance capturing the real decisions made by Mexican authorities. The results showed the inefficiency stemming from independent decision-making, an excess of actors involved in the real instances of both cases, the applicability of the model to different circumstances, and the value of the ability to modify the number of organisations involved per stage.
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Rutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Lei, Lei
Pinedo, Michael
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NYU, Stern Sch Business, Dept Informat Operat & Management Sci, New York, NY USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Pinedo, Michael
Qi, Lian
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机构:
Rutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Qi, Lian
Wang, Shengbin
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North Carolina A&T State Univ, Sch Business & Econ, Dept Mkt Transportat & Supply Chain, Greensboro, NC USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Wang, Shengbin
Yang, Jian
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Rutgers State Univ, Rutgers Business, Dept Management Sci & Informat Syst, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
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Rey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Liberatore, F.
Ortuno, M. T.
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Univ Complutense, Fac Math, Dept Stat & Operat Res, E-28040 Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Ortuno, M. T.
Tirado, G.
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Univ Complutense, Fac Math, Dept Stat & Operat Res, E-28040 Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Tirado, G.
Vitoriano, B.
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Univ Complutense, Fac Math, Dept Stat & Operat Res, E-28040 Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Vitoriano, B.
Scaparra, M. P.
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Univ Kent, Kent Business Sch, Canterbury, Kent, EnglandRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
机构:
Rutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Lei, Lei
Pinedo, Michael
论文数: 0引用数: 0
h-index: 0
机构:
NYU, Stern Sch Business, Dept Informat Operat & Management Sci, New York, NY USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Pinedo, Michael
Qi, Lian
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Qi, Lian
Wang, Shengbin
论文数: 0引用数: 0
h-index: 0
机构:
North Carolina A&T State Univ, Sch Business & Econ, Dept Mkt Transportat & Supply Chain, Greensboro, NC USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
Wang, Shengbin
Yang, Jian
论文数: 0引用数: 0
h-index: 0
机构:
Rutgers State Univ, Rutgers Business, Dept Management Sci & Informat Syst, Newark, NJ 07102 USARutgers State Univ, Rutgers Business Sch, Dept Supply Chain Management, Newark, NJ 07102 USA
机构:
Rey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Liberatore, F.
Ortuno, M. T.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Complutense, Fac Math, Dept Stat & Operat Res, E-28040 Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Ortuno, M. T.
Tirado, G.
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h-index: 0
机构:
Univ Complutense, Fac Math, Dept Stat & Operat Res, E-28040 Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Tirado, G.
Vitoriano, B.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Complutense, Fac Math, Dept Stat & Operat Res, E-28040 Madrid, SpainRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain
Vitoriano, B.
Scaparra, M. P.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Kent, Kent Business Sch, Canterbury, Kent, EnglandRey Juan Carlos Univ, Fac Legal & Social Sci, Dept Financial Econ & Accounting Math & Stat 2, Madrid, Spain