Thanyawan Chanpanit
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Thanyawan Chanpanit has a total of 1 co-authors. Here are the top co-authors by number of shared publications:
- Apinanthana Udomsakdigool
Department of Production Engineering, Faculty of Engineering, King Mongkuts University of Technology Thonburi, Bangkok, Thailand
1 shared publication
Latest Publications
- Open Access
Workforce Planning Framework for a Mobile Call Center Considering a Special Event
Workforce planning is essential in today’s business management. If an organization can find and keep enough staff who have the right values, then they can provide high-quality service. This paper presents a workforce planning framework for selecting the best forecasting model in order to provide minimum wage and computer electricity costs for a mobile call center during the Songkran festival event, and to optimize workforce planning. The framework is constructed with four main steps: a study of a separate period; the separation of models with different data types; the simulation of models under different service levels to determine the number of customers waiting in a call center; and the evaluation of the models. The results from the proposed framework presented the best forecasting method and the optimal workforce plan. It is clear that this approach can assist in systematically selecting the best forecasting model. In addition, a workforce planner can use this framework to support workforce planning and cost evaluation in other event periods.
Open AccessWorkforce Planning Framework for a Mobile Call Center Considering a Special Event
Workforce planning is essential in today’s business management. If an organization can find and keep enough staff who have the right values, then they can provide high-quality service. This paper presents a workforce planning framework for selecting the best forecasting model in order to provide minimum wage and computer electricity costs for a mobile call center during the Songkran festival event, and to optimize workforce planning. The framework is constructed with four main steps: a study of a separate period; the separation of models with different data types; the simulation of models under different service levels to determine the number of customers waiting in a call center; and the evaluation of the models. The results from the proposed framework presented the best forecasting method and the optimal workforce plan. It is clear that this approach can assist in systematically selecting the best forecasting model. In addition, a workforce planner can use this framework to support workforce planning and cost evaluation in other event periods.