Establishing call-centre staffing levels using aggregate planning and simulation approach
by Rodrigo Barbosa-Correa; Alcides Santander-Mercado; María Jubiz-Diaz; Ricardo Rodríguez-Ramos
European J. of Industrial Engineering (EJIE), Vol. 14, No. 1, 2020

Abstract: This paper presents an approach for determining the personnel capacity levels of a call centre for a telecommunication company. The objective is to determine the staffing levels required to meet a desired service level at a minimum cost. First, data of the number of different requests were analysed to estimate hourly workload requirements. Then, an aggregate planning model were implemented to obtain an initial solution of the staffing levels considering workforce costs, service level, personnel hiring/migration and work supplements. These results were input of a discrete-event simulation model to assess the system performance based on queuing characteristics, demand variability and resources utilisation. Alternative schedules and capacity levels were evaluated to outperform current service quality and a better match with the demand variability. Proposed options provided better results with lower waiting times and more balanced resource utilisation. The approach is useful for planning capacity levels in projects and locating new centres. [Submitted: 18 June 2018; Accepted: 15 March 2019]

Online publication date: Wed, 12-Feb-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the European J. of Industrial Engineering (EJIE):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com