Erlang C model for evaluate incoming call uncertainty in automotive call centers

Laksamon Archawaporn, W. Wongseree
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引用次数: 2

Abstract

Inbound telephone Call Centers are valuable channels between customers and our company, which also challenging to manage because there is uncertainty in estimates of incoming call. Thus, determining the optimal amount of Call Center workforces is necessary. This research proposed the Erlang C model is a traffic modeling formula used in automotive Call Center scheduling to calculate delays or predict waiting times for callers, Erlang C can also calculate the resources that will be needed to keep wait times within the Call Center's target limits. This method assumes that we explicitly recognize the uncertainty in period by period incoming call based on service level agreement standard rate which no less than 80%. Finally, there are no lost calls or busy signals which can estimate the workforce scheduling that is required by Erlang C model. The result showed that suitable agents in the peak hour of weekday should have 5 agents which reduce from 7 agents at that period.
基于Erlang C的汽车呼叫中心呼叫不确定性评估模型
入站电话呼叫中心是客户和我们公司之间有价值的渠道,这也具有挑战性,因为对入站电话的估计存在不确定性。因此,确定呼叫中心工作人员的最佳数量是必要的。本研究提出的Erlang C模型是一种用于汽车呼叫中心调度的流量建模公式,用于计算呼叫者的延迟或预测等待时间,Erlang C还可以计算将等待时间保持在呼叫中心目标限制内所需的资源。该方法假设我们在不低于80%的服务水平协议标准率的基础上明确认识到周期呼入的不确定性。最后,没有丢失的呼叫或占线信号,这可以估计Erlang C模型所需的劳动力调度。结果表明,工作日高峰时段适宜的代理数量由7个减少到5个。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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