A mathematical model of optimal control for addictive buying: predicting the population behavior

Authors

  • Prasertjitsun Graduate Student in Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand
  • Koonprasert S Associate Professor in Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand
  • Chavanasporn W Assistant Professor in Department of Mathematics, Faculty of Applied Science, King Mongkut's University of Technology North Bangkok, Bangkok 10800, Thailand

Keywords:

Addictive buying, Compartmental model, Compulsive buying, Modeling, Optimal Control

Abstract

This article deals with the construction of an optimal control problem model for addictive buying. In our model, we divided the population into three classes rational buyers, excessive buyers, and addictive buyers. The division of the total population into subgroups according to activity or identifications of consumer's buying behavior was done by multivariate statistical techniques based on real databases and sociological approaches. The future short term addicted population is computed assuming several future economic scenarios. The forward-backward sweep method is developed to solve the optimal control problem models for addictive buying.

References

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Published

2024-02-26

How to Cite

Prasertjitsun, T., Koonprasert, S., & Chavanasporn, W. (2024). A mathematical model of optimal control for addictive buying: predicting the population behavior. COMPUSOFT: An International Journal of Advanced Computer Technology, 9(04), 3611–3616. Retrieved from https://ijact.in/index.php/j/article/view/560

Issue

Section

Review Article

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