Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods
Abstract In Thailand, the harvesting season for sugarcane usually begins in November and ends the following May. At the beginning of each harvesting season, the Royal Thai government sets the price of two types of sugarcane, namely fresh and fired, based on sweetness (sugar content) and gross weight...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2019-06-01
|
| Series: | Advances in Difference Equations |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s13662-019-2192-3 |
| _version_ | 1818029664978862080 |
|---|---|
| author | Wisanlaya Pornprakun Surattana Sungnul Chanakarn Kiataramkul Elvin J. Moore |
| author_facet | Wisanlaya Pornprakun Surattana Sungnul Chanakarn Kiataramkul Elvin J. Moore |
| author_sort | Wisanlaya Pornprakun |
| collection | DOAJ |
| description | Abstract In Thailand, the harvesting season for sugarcane usually begins in November and ends the following May. At the beginning of each harvesting season, the Royal Thai government sets the price of two types of sugarcane, namely fresh and fired, based on sweetness (sugar content) and gross weight of sugarcane delivered to the sugar factories. The aim of the present research is to determine optimal harvesting policies for the two types of sugarcane in sugarcane producing regions of Thailand in order to maximize revenue and minimize harvesting cost. In this paper, a harvesting policy is defined as the amount of each type of sugarcane harvested and delivered to the sugar factories during each 15-day period of a harvesting season. Two optimization methods have been used to solve this optimization problem, namely the ε-constraints method and a quasi-Newton optimization method. In the ε-constraints method, the problem is considered as a bi-objective optimization problem with the main objective being to determine harvesting policies that maximize the total revenue subject to upper bounds on the harvesting cost. In the quasi-Newton method, the aim is to determine the harvesting policy which gives maximum profit to the farmers subject to constraints on the maximum amount that can be cut in a 15-day period. The methods are used to determine optimal harvesting policies for the north, central, east, and north-east regions of Thailand for harvesting seasons 2012/13, 2013/14, and 2014/15 based on the data obtained from the Ministry of Industry and the Ministry of Agriculture and Co-operatives of the Royal Thai government. |
| first_indexed | 2024-12-10T05:23:17Z |
| format | Article |
| id | doaj.art-6ca5a6391af549d2a820e291048ccada |
| institution | Directory Open Access Journal |
| issn | 1687-1847 |
| language | English |
| last_indexed | 2024-12-10T05:23:17Z |
| publishDate | 2019-06-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Advances in Difference Equations |
| spelling | doaj.art-6ca5a6391af549d2a820e291048ccada2022-12-22T02:00:45ZengSpringerOpenAdvances in Difference Equations1687-18472019-06-012019111510.1186/s13662-019-2192-3Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methodsWisanlaya Pornprakun0Surattana Sungnul1Chanakarn Kiataramkul2Elvin J. Moore3Department of Mathematics, King Mongkut’s University of Technology North BangkokDepartment of Mathematics, King Mongkut’s University of Technology North BangkokDepartment of Mathematics, King Mongkut’s University of Technology North BangkokDepartment of Mathematics, King Mongkut’s University of Technology North BangkokAbstract In Thailand, the harvesting season for sugarcane usually begins in November and ends the following May. At the beginning of each harvesting season, the Royal Thai government sets the price of two types of sugarcane, namely fresh and fired, based on sweetness (sugar content) and gross weight of sugarcane delivered to the sugar factories. The aim of the present research is to determine optimal harvesting policies for the two types of sugarcane in sugarcane producing regions of Thailand in order to maximize revenue and minimize harvesting cost. In this paper, a harvesting policy is defined as the amount of each type of sugarcane harvested and delivered to the sugar factories during each 15-day period of a harvesting season. Two optimization methods have been used to solve this optimization problem, namely the ε-constraints method and a quasi-Newton optimization method. In the ε-constraints method, the problem is considered as a bi-objective optimization problem with the main objective being to determine harvesting policies that maximize the total revenue subject to upper bounds on the harvesting cost. In the quasi-Newton method, the aim is to determine the harvesting policy which gives maximum profit to the farmers subject to constraints on the maximum amount that can be cut in a 15-day period. The methods are used to determine optimal harvesting policies for the north, central, east, and north-east regions of Thailand for harvesting seasons 2012/13, 2013/14, and 2014/15 based on the data obtained from the Ministry of Industry and the Ministry of Agriculture and Co-operatives of the Royal Thai government.http://link.springer.com/article/10.1186/s13662-019-2192-3Optimal harvesting policyε-constraints methodBi-objective mathematical modelQuasi-Newton optimization |
| spellingShingle | Wisanlaya Pornprakun Surattana Sungnul Chanakarn Kiataramkul Elvin J. Moore Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods Advances in Difference Equations Optimal harvesting policy ε-constraints method Bi-objective mathematical model Quasi-Newton optimization |
| title | Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods |
| title_full | Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods |
| title_fullStr | Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods |
| title_full_unstemmed | Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods |
| title_short | Determining optimal policies for sugarcane harvesting in Thailand using bi-objective and quasi-Newton optimization methods |
| title_sort | determining optimal policies for sugarcane harvesting in thailand using bi objective and quasi newton optimization methods |
| topic | Optimal harvesting policy ε-constraints method Bi-objective mathematical model Quasi-Newton optimization |
| url | http://link.springer.com/article/10.1186/s13662-019-2192-3 |
| work_keys_str_mv | AT wisanlayapornprakun determiningoptimalpoliciesforsugarcaneharvestinginthailandusingbiobjectiveandquasinewtonoptimizationmethods AT surattanasungnul determiningoptimalpoliciesforsugarcaneharvestinginthailandusingbiobjectiveandquasinewtonoptimizationmethods AT chanakarnkiataramkul determiningoptimalpoliciesforsugarcaneharvestinginthailandusingbiobjectiveandquasinewtonoptimizationmethods AT elvinjmoore determiningoptimalpoliciesforsugarcaneharvestinginthailandusingbiobjectiveandquasinewtonoptimizationmethods |