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首页> 外文期刊>RAIRO Operation Research >ALLOCATING SERVERS TO FACILITIES, WHEN DEMAND IS ELASTIC TO TRAVEL AND WAITING TIMES
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ALLOCATING SERVERS TO FACILITIES, WHEN DEMAND IS ELASTIC TO TRAVEL AND WAITING TIMES

机译：当需求对旅行和等待时间具有弹性时，将服务器分配给设施

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Public inoculation centers are examples of facilities providing service to customers whose demand is elastic to travel and waiting time. That is, people will not travel too far, or stay in line for too long to obtain the service. The goal, when planning such services, is to maximize the demand they attract, by locating centers and staffing them so as to reduce customers' travel time and time spent in queue. In the case of inoculation centers, the goal is to maximize the people that travel to the centers and stay in line until inoculated. We propose a procedure for the allocation of multiple servers to centers, so that this goal is achieved. An integer programming model is formulated. Since demand is elastic, a supply-demand equilibrium equation must be explicitly included in the optimization model, which then becomes nonlinear. As there are no exact procedures to solve such problems, we propose a heuristic procedure, based on Heuristic Concentration, which finds a good solution to this problem. Numerical examples are presented.
机译：公共接种中心是向客户提供服务的设施的示例，这些客户的需求对旅行和等待时间具有弹性。也就是说，人们不会走得太远，也不会排队太久才能获得服务。规划此类服务时，目标是通过设置中心并为其配备人员，以最大程度地吸引他们的需求，以减少客户的旅行时间和排队时间。就接种中心而言，目标是使前往中心并排队待接种的人员最大化。我们提出了将多个服务器分配给中心的过程，从而实现了这一目标。建立了整数编程模型。由于需求具有弹性，因此必须在优化模型中明确包含供求平衡方程，然后该方程变为非线性。由于没有确切的程序可以解决此类问题，因此我们提出了一种基于启发式集中的启发式程序，该程序可以很好地解决此问题。给出了数值示例。

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