Multi-Objective Mathematical Model for the Optimal Time to Harvest Sugarcane

Download Download as PDF (Size:2197KB)  HTML   XML  PP. 329-343  
DOI: 10.4236/am.2017.83028    298 Downloads   475 Views  

ABSTRACT

In this paper, the sugarcane and sugar industry in Thailand is studied. The government determines the sugarcane prices which is based on the two main factors: 1) weight and 2) commercial cane sugar (standard value equal 10 C.C.S.). Usually, the C.C.S. will increase with time and the weight will decrease. The main purpose of this research is to find the optimal harvest time to maximize revenue and minimize gathering cost. The mathematical model is first formulated under the regulations of the Office of the Cane and Sugar Board (OCSB). The -constraints method is then applied to solve the multi-objective mathematical model. The optimal harvest times in the four regions of Thailand (Northern, Central, Eastern, North-Eastern) for crop years 2012/ 13, 2013/14 and 2014/15 are obtained for comparison.

Cite this paper

Sungnul, S. , Pornprakun, W. , Prasattong, S. and Baitiang, C. (2017) Multi-Objective Mathematical Model for the Optimal Time to Harvest Sugarcane. Applied Mathematics, 8, 329-343. doi: 10.4236/am.2017.83028.

References

[1] Naranong, V., et al. (2013) A Study of Reform the Structure of Thailand’s Sugar and Cane Industry. Thailand Development Research Institute.
[2] Florentino, H.O., Moreno, E.V. and Sartori, M.P. (2008) Multiobjective Optimization of Economic Balances of Sugarcane Harvest Biomass. Science Agricultural, 65, 561-564.
https://doi.org/10.1590/s0103-90162008000500018
[3] Scarpari, M.S. and Ferreira, E.G. (2010) Optimized Agricultural Planning of Sugarcane Using Linear Programming. Revista Investigacion Operacional, 31, 126-132.
[4] Gomes, F.R.A. (2012) Bi-Objective Mathematical Model for Choosing Sugarcane Varieties with Harvest Residual Biomass in Energy Cogeneration. International Journal of Agricultural and Biological Engineering, 5, 50-58.
[5] Deb, K. (2001) Multi-Objective Optimization Using Evolutionary Algorithms. John Wiley and Sons, Chichester.
[6] Office of the Cane and Sugar Board.
http://www.ocsb.go.th

  
comments powered by Disqus

Copyright © 2017 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.