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Designing a call center with an IVR (Interactive Voice Response)

机译:使用IVR(交互式语音响应)设计呼叫中心

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A call center is a service operation that caters to customer needs via the telephone. Call centers typically consist of agents that serve customers, telephone lines, an Interactive Voice Response (IVR) unit, and a switch that routes calls to agents. In this paper we study a Markovian model for a call center with an IVR. We calculate operational performance measures, such as the probability for a busy signal and the average wait time for an agent. Exact calculations of these measures are cumbersome and they lack insight. We thus approximate the measures in an asymptotic regime known as QED (Quality and Efficiency Driven) or the Halfin–Whitt regime, which accommodates moderate to large call centers. The approximations are both insightful and easy to apply (for up to 1000’s of agents). They yield, as special cases, known and novel approximations for the M/M/N/N (Erlang-B), M/M/S (Erlang-C) and M/M/S/N queue.
机译:呼叫中心是通过电话满足客户需求的服务操作。呼叫中心通常包括为客户服务的座席,电话线,交互式语音响应(IVR)单元以及将呼叫路由至座席的交换机。在本文中,我们研究了带有IVR的呼叫中心的马尔可夫模型。我们计算运营绩效指标,例如信号繁忙的概率和座席的平均等待时间。这些措施的精确计算很麻烦,而且缺乏见识。因此,我们在称为QED(质量和效率驱动)或Halfin-Whitt体制的渐进体制中对这些措施进行了近似计算,该体制可容纳中型到大型呼叫中心。近似值既有见识又易于应用(最多可容纳1000个代理)。作为特殊情况,它们产生M / M / N / N(Erlang-B),M / M / S(Erlang-C)和M / M / S / N队列的已知和新颖近似。

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