Abstract
In this chapter, bi-objective optimization is used to find optimal policies for harvesting of sugarcane in Thailand in order to maximize revenue and minimize gathering cost for sugarcane farmers. In Thailand, the government determines the sugarcane price paid to farmers. This price is based on weight and sweetness of cane at time of cutting. The gathering cost is separated into two parts: a fixed cost and a variable cost. The fixed cost consists of a cost of cutting of the cane and of transport of the cane to a sugar mill. The variable cost consists of maintenance and fuel costs associated with the amount of sugarcane remaining on the farms. The \(\varepsilon \)-constraints method is applied to solve the bi-objective mathematical model to obtain optimal harvesting policies for sugarcane farmers in the four main sugarcane-producing regions of Thailand for crop years 2012/13, 2013/14 and 2014/15. The optimal profits and harvesting policies are compared with the actual profits and harvesting policies for the four regions of Thailand for the three crop years.
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Acknowledgements
This research is supported by the Centre of Excellence in Mathematics, the Commission on Higher Education, Thailand. W. Pornprakun would also like to express her sincere thanks to the Department of Mathematics, King Mongkut’s University of Technology North Bangkok for supporting her to do this research.
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Pornprakun, W., Sungnul, S., Kiataramkul, C., Moore, E.J. (2020). An Optimization Model of Sugarcane Harvesting with Fixed and Variable Costs Approximated by Fourier and Cubic Functions. In: Ao, SI., Kim, H., Castillo, O., Chan, As., Katagiri, H. (eds) Transactions on Engineering Technologies. IMECS 2018. Springer, Singapore. https://doi.org/10.1007/978-981-32-9808-8_27
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DOI: https://doi.org/10.1007/978-981-32-9808-8_27
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