LAPSE:2023.15485
Published Article
LAPSE:2023.15485
Workforce Planning Framework for a Mobile Call Center Considering a Special Event
Thanyawan Chanpanit, Apinanthana Udomsakdigool
March 2, 2023
Abstract
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.
Keywords
call center, energy management, energy saving, forecasting, Simulation, Songkran festival event, workforce planning framework
Suggested Citation
Chanpanit T, Udomsakdigool A. Workforce Planning Framework for a Mobile Call Center Considering a Special Event. (2023). LAPSE:2023.15485
Author Affiliations
Chanpanit T: Department of Production Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140, Thailand
Udomsakdigool A: Department of Production Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok 10140, Thailand [ORCID]
Journal Name
Energies
Volume
15
Issue
4
First Page
1551
Year
2022
Publication Date
2022-02-19
ISSN
1996-1073
Version Comments
Original Submission
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PII: en15041551, Publication Type: Journal Article
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LAPSE:2023.15485
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https://doi.org/10.3390/en15041551
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CC BY 4.0
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