Meta-Heuristic Algorithms for Allocation of Machines and Equipment in Inbound Logistics of Sugarcane Industry with Time Windows
Keywords:
Multi period vehicle routing problem, Meta heuristic algorithmAbstract
At present, the sugarcane and sugar industries are a very important industry for Thailand because this industry is one of the top income-generating agriculture industries in Thailand. The sugarcane and sugar industries are developing into a large industry, increasing the production of sugar. Machine usage efficiency is rapidly important. Therefore, this research has studied the problem of service scheduling of sugarcane harvester to effectively support the needs of farmers by considering sugarcane harvesting with the highest based Sugarcane Commercial Cane Sugar (CCS). The objective of this research is the maximization of sugarcane yield. This research developed two algorithms to solve the problems that are differential evolution algorithm and particle swarm optimization to find the near-optimal solution. In the real case, it was found the problem solving by differential evolution algorithm, and particle swarm optimization. The solution can support and solve factory problems for the case study can improve to 11.1% and 8.46 % respectively.
References
Office of Cane and Sugar Industry Policy. Report of sugarcane planting area Production year 2018/2019 [Internet]. 2018 [updated 2018 Feb 10; cited 2019 Jan 10]. Available from: http://www.ocsb.go.th/upload/journal/fileupload/923-9040.pdf
Bank of Thailand. Step into a new context of the Thai sugarcane and sugar industry. [Internet]. 2018 [updated 2018 May 10; cited 2019 Jan 10]. Available from: https://www.bot.or.th/Thai/MonetaryPolicy/NorthEastern/Doclib_Seminar60/41_Paper_SugarcaneIndust.pdf
Higgins ET. Beyond Pleasure and Pain. American Psychologist. 1997; 52:1280-1300.
Higgins ET. Promotion and Prevention: Regulatory Focus as a Motivational Principle. Advances in Experimental Social Psychology. 1998;30:1-46.
Jena SD, Poggi M. Harvest planning in the Brazilian sugar cane industry via mixed integer programming. European Journal of Operational Research. 2013; 230(2): 374-384.
Worasan K, Sethanan K, Moonsri K. Hybrid Differential Evolution and Particle Swarm Optimization Algorithm for the Sugarcane Cultivation Scheduling Problem. Chiang Mai University Journal of Natural Sciences. 2018;17(3): 241-258.
Storn R, Price K. Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces. Journal of Global Optimization. 1997; 11(4): 341-359.
Kennedy J, Russell E. Particle Swarm Optimization-Based Feature Selection for Cognitive State Detection. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS. 1995; 6556–6559.
