Workforce planning and deployment for a hospital reservation call center with abandonment cost and multiple tasks

We consider a hospital reservation call center where operators handle multiple tasks. We take into account operator labor costs, caller waiting costs, and abandonment costs for lost calls. Instead of relying on the traditional method of queueing theory for call center management, we present a method that obtains expected caller waiting time and expected abandonment rate directly by introducing the inbound-load parameter. We develop a framework that combines workforce planning and operator deployment for a mixed call center in a single mathematical programming model. This paper also demonstrates how the proposed methodology can be applied in practice, with a case study based on actual operational data. Our primary conclusion is that the method presented in this research can significantly reduce both expected total cost (by 55.1% in our case study) and abandonment rate (from 15% to 2.1% in our case study). In addition, we demonstrate, using a sensitivity analysis, that our methodology will be more effective in an environment where the unit penalty cost of an abandoned call is relatively high among competitive hospitals.

► We consider a hospital reservation call center where operators both receive inbound calls and make outbound calls. ► We consider a situation where abandonment costs comprise a significant portion of total costs. ► We present a way to obtain waiting and abandonment rates directly from operator workload data, rather than from queueing theory. ► We combine workforce planning and deployment into one mathematical model and present an optimal solution. ► We provide a case study based on actual data to validate the proposed method.