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Risk-averse two-stage distributionally robust optimisation for logistics planning in disaster relief management

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Distributionally robust optimization for collaborative emergency response network design

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A multi-objective evolutionary optimisation model for heterogeneous vehicles routing and relief items scheduling in humanitarian crises

Mishra, Bhupesh Kumar; Dahal, Keshav; Pervez, Zeeshan; … - In: Decision analytics journal 5 (2022), pp. 1-10

In a disaster scenario, relief items distribution is required as early as possible for the disaster victims to reduce … to generate relief items distribution schedules to minimise the impact of disaster to the disaster victims. However … heterogeneous vehicles condition at supply points. The evolutionary algorithm generates the disaster region distribution sequence by …

Persistent link: https://www.econbiz.de/10014336753

Inventory planning and coordination in disaster relief efforts

Davis, Lauren B.; Samanlioglu, Funda; Qu, Xiuli; Root, Sarah - In: International journal of production economics 141 (2013) 2, pp. 561-573

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Modeling multiple humanitarian objectives in emergency response to large-scale disasters

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Stochastic optimization for investment in facilities in emergency prevention

Hu, Shao-Long; Han, Chuan-Feng; Meng, Ling-Peng - In: Transportation research / E : an international journal 89 (2016), pp. 14-31

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Modeling the logistics response to a bioterrorist anthrax attack

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Supply location and transportation planning for hurricanes : a two-stage stochastic programming framework

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Fuzzy multi-objective stochastic programming model for disaster relief logistics considering telecommunication infrastructures : a case study

Mohamadi, Ahmad; Yaghoubi, Saeed; Pishvaee, Mir Saman - In: Operational research : an international journal 19 (2019) 1, pp. 59-99

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Integrated optimal scheduling of repair crew and relief vehicle after disaster

Shin, Youngchul; Kim, Sungwoo; Moon, Ilkyeong - In: Computers & operations research : and their … 105 (2019), pp. 237-247

Persistent link: https://www.econbiz.de/10011997099