Volume 2, 2019
|Number of page(s)||10|
|Section||Mathematics - Applied Mathematics|
|Published online||16 May 2019|
Minimum total distance clustering and balanced distance clustering in northern Thailand's corn crop residue management system
Centre of Excellence in Mathematics, CHE, Bangkok
2 Center of Excellence in Mathematics and Applied Mathematics, Department of Mathematics, Faculty of Science, Chiang Mai University, Chiang Mai 50200, Thailand
* Corresponding author: email@example.com
Accepted: 19 March 2019
The authors study the corn crop residue management system for 16 provinces in northern Thailand encompassing 127 agricultural cooperatives (co-ops), 974 corn fields and 274 customers. To solve the system's problems, we find clusters where co-ops will pick up crop residues from corn fields, process them into biomass fuel and sell the fuel to customers. Each cluster consists of a co-op, a set of corn fields and a set of customers, the latter two being on separate routes from the co-op. To minimize the system's transportation cost and balance transportation cost between clusters, we propose a mathematical model with two objective functions, construct two heuristics, and apply the two heuristics to solve the problem.
Key words: Agricultural residue management system / Northern Thailand / Heuristic / Multiple depot vehicle routing problem
© S. Phonin & C. Likasiri, Published by EDP Sciences, 2019
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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