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A New Optimization Technique for the Location and Routing Management in Agricultural Logistics

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Department of Industrial Engineering, Faculty of Engineering, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand
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Research unit on System Modelling for Industry, Department of Industrial Engineering, Faculty of Engineering, Khon Kaen University, Khon Kaen 40002, Thailand
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Department of Computer Science, Faculty of Informatics, Mahasarakham University, Maha Sarakham 44000, Thailand
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Faculty of Engineering Management, Poznan University of Technology, 61-704 Poznan, Poland
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Author to whom correspondence should be addressed.
J. Open Innov. Technol. Mark. Complex. 2020, 6(1), 11; https://doi.org/10.3390/joitmc6010011
Received: 14 January 2020 / Revised: 29 January 2020 / Accepted: 30 January 2020 / Published: 3 February 2020
This paper aims to solve the location and routing problem (LRP) in the agricultural sector with the objective function of fuel cost minimization. Many farmers may have problems when transporting and selling products because of high costs and unfair prices. The proper location of standardized procurement centers and suitable routes will relieve farmers’ problems. This paper includes a realistic constraint that a farm can be visited to collect product more than once. A mathematical model was formulated to be solved by Lingo software, but when the problem size was larger, Lingo was unable to solve the problem within a reasonable processing time. The variable neighborhood strategy adaptive search (VaNSAS) is proposed to solve this LRP. The main contributions of this paper are a real case study problem and the first introduction of VaNSAS. Furthermore, the different combinations of the solution approach are proposed to prove which combination is the best algorithm. The computational results show that VaNSAS can find the solutions for all problem sizes in much less processing time compared to Lingo. In medium and large-sized instances, the VaNSAS can reduce processing times by 99.91% and 99.86%, respectively, from solutions obtained by Lingo. Finally, the proposed VaNSAS has been deployed in a case study problem to decide the best locations and transportation routes with the lowest fuel cost. View Full-Text
Keywords: location routing problem; rubber; metaheuristics; variable neighborhood strategy adaptive search location routing problem; rubber; metaheuristics; variable neighborhood strategy adaptive search
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MDPI and ACS Style

Theeraviriya, C.; Pitakaso, R.; Sethanan, K.; Kaewman, S.; Kosacka-Olejnik, M. A New Optimization Technique for the Location and Routing Management in Agricultural Logistics. J. Open Innov. Technol. Mark. Complex. 2020, 6, 11. https://doi.org/10.3390/joitmc6010011

AMA Style

Theeraviriya C, Pitakaso R, Sethanan K, Kaewman S, Kosacka-Olejnik M. A New Optimization Technique for the Location and Routing Management in Agricultural Logistics. Journal of Open Innovation: Technology, Market, and Complexity. 2020; 6(1):11. https://doi.org/10.3390/joitmc6010011

Chicago/Turabian Style

Theeraviriya, Chalermchat, Rapeepan Pitakaso, Kanchana Sethanan, Sasitorn Kaewman, and Monika Kosacka-Olejnik. 2020. "A New Optimization Technique for the Location and Routing Management in Agricultural Logistics" Journal of Open Innovation: Technology, Market, and Complexity 6, no. 1: 11. https://doi.org/10.3390/joitmc6010011

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