The week's pick
Reseach Article
Manpower Planning using Heuristics
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 176 - Number 29 |
| Year of Publication: 2020 |
| Authors: Nang Laik Ma, Murphy Choy |
10.5120/ijca2020920319
|
Nang Laik Ma, Murphy Choy . Manpower Planning using Heuristics. International Journal of Computer Applications. 176, 29 ( Jun 2020), 23-28. DOI=10.5120/ijca2020920319
Abstract
In this paper, we focus on manpower planning in one of the service companies which offers premium services to customers. The company has started embarking on its analytics journey and wanted to make the operational decisions based on data. Thus, the model proposed is based on past historical data over 36 months’ periods and analyse the service time for each appointment to have a realistic number which will affect the number of staff required for daily operations. A mathematical model for manpower planning is then developed and solved using heuristics. The model developed in this paper help the management to do macro and micro level manpower planning so that the service level agreement is met and the customers’ satisfaction is high to maintain good customers’ relationship for the company in this competitive business world.
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- SHORT BIO OF AUTHORS:
- Nang Laik is an Associate Professor in the School of Business at one of the autonomous universities in Singapore, Singapore University of Social Sciences (SUSS). She holds a PhD from Imperial College, London where her research interest is to apply operations research (OR) to solve real-world problems in the area of optimization of resource, capacity planning, and simulation and decision support systems. Her research expertise lies in the simulation and modelling of large scale real-world problem
- Murphy Choy has many years of industrial experience in data analytics and data mining. He got his PhD from Edinburgh Business School, Heriot Watt University. He is an adjunct faculty in private universities in Singapore.
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