A probabilistic model applied to emergency service vehicle location

Alternate risk measures for emergency medical service system design

“…Research focusing on stochastic CFLP includes Louveaux (1986), Ball and Lin (1993), Beraldi et al (2004) and Beraldi and Bruni (2009). Louveaux (1986) presents a stochastic version of the CFLP in which the expected utility of profit is maximized while considering a penalty for unmet demand.…”

Goods Demand Forecast and Dispatching Plan in Aviation Emergency Rescue

“…Sophisticated aviation rescue systems have been built in the developed countries in Europe and America based on their own national conditions, so they have strong emergency rescue ability in the face of natural disasters and emergencies [2] .By contrast, being limited by low-altitude opening and navigation development issues,the aviation emergency rescue in China lags behind [3] . On problems of dispatching disaster-relief commodity, Barbarosoglu [4] , Chang [5] and Beraldi [6] have established corresponding planning models in the perspective of stochastic optimization; Araz [7] , Tzeng [8] and Zhan Shalei [9] have studied how to select sites for emergency vehicles and to dispatch goods and materials through multi-objective programming; Vanda [10] , Bodin [11] and Yang Rongsheng [12] studied from the aspect of making dispatching plan of aviation emergency rescue and decision making; Pssquier [13] , Zhangxin [14] , Xia Zhenghong [15] and Liu Lang [16] have proposed improvement for air-ground coordination and air line optimization by analyzing existing disadvantages of low efficiency in aviation rescue. However, these present studies have not put forward perfect scheme of dispatching goods and material and planning aircrafts.…”

Integrated decision making in healthcare : an operations research and management science perspective

“…Ambulances exist in different transport modalities (helicopters, vans, cars) carrying different types of equipment and staff [38,39,40,165,186,267,412,429,446,468,526]. Ambulances collect emergency patients, but also perform less urgent transfers of patients between care facilities [468].…”

“…Other factors to take into account in planning the locations of ambulances are the likelihood of timing and location of an emergency, staff availability, location constraints (e.g., a place where staff can rest), and the emergency care center where patients are potentially transported to [36,62,79,158,180,205,267,276,399,412,526]. Methods: computer simulation [62,165,180,186,204,237,267,412,429,459,526], heuristics [22,36,38,164,197,266], Markov processes [21,257], mathematical programming [18,36,38,39,40,45,79,118,158,165,186,205,207,237,257,276,412,…”

“…For example, staff members may be 'on call' while working elsewhere or being off-duty, and they are called upon when additional staff is required in the ED to cope with unexpected demand peaks [376]. Methods: computer simulation [16,40,60,91,165,181,186,267,311,315,375,412,429,526,532], heuristics [38], mathematical programming [38,39,165,375,376,412], queueing theory [106,220,446,468], literature review [62,282,393].…”