Mechanical Harvester Route Planning of Sugarcane Harvesting with Field Conditions and Types of Mechanical Harvester
Keywords:
Harvest scheduling, Unrelated parallel machine, Mathematical modelAbstract
This research focused on the problem of the sugarcane mechanical harvester scheduling based on field conditions and types of mechanical harvesters through development of a mathematical model. Presently, sugarcane mechanical harvesting is found to lack management efficiency. As a result, the harvesting cost has been high, the process is time-consuming and the sugarcane quality is low. It was thus necessary to schedule harvesting with an efficient sugarcane mechanical harvester. This problem was defined as Unrelated Parallel Machine (UPM) with Sequence Dependent Setup Times (SDST) where machine eligibility was included. The objective was to minimize the makespan. The results illustrate that the developed mathematical model was efficient not only in the development of solutions but also the duration in searching for solutions under satisfactory time frame for the case study factory.
References
Office of Agricultural Economics [Internet]. 2016 [cited 2020 May 21]. Available from: http://www.oae.go.th/view/1/ข้อมูลเศรษฐกิจการเกษตร/TH-TH
Kusoncum C, Sethanan K, Pitakaso R, Hartl RF. Heuristics with novel approaches for cyclical multiple parallel machine scheduling in sugarcane unloading systems. Int J Prod Res. 2020; 1–19.
Office of the Cane and Sugar Board. Thailand Sugar Cane Production Report Production Year 2017/2018 [Internet]. 2018 [cited 2020 May 23]. p. 1–114. Available from: http://www.ocsb.go.th/upload/journal/fileupload/923-3254.pdf
Kusoncum C, Sethanan K, Pattanapairoj S, Neungmatcha W. Algorithms Development for Scheduling and Sequencing of Sugarcane Truck to Dump Tippler in Cane and Sugar Industry in Central Region of Thailand. KKU Res J. 2019; 19(4): 111–126. Thai.
Sethanan K. Metaheuristics and Applications for Industry. 1st ed. Khonkaen: Klhangnanawitthaya; 2015. Thai.
Sethanan K, Neungmatcha W. Multi-objective particle swarm optimization for mechanical harvester route planning of sugarcane field operations. Eur J Oper Res. 2016; 252(3): 969–984.
Worasan K, Sethanan K, Pitakaso R, Moonsri K, Nitisiri K. Hybrid particle swarm optimization and neighborhood strategy search for scheduling machines and equipment and routing of tractors in sugarcane field preparation. Comput Electron Agric. 2020; 178: 105733.
Fanjul-Peyro L. Models and an exact method for the Unrelated Parallel Machine scheduling problem with setups and resources. Expert Syst with Appl X. 2020; 5: 100022.
Office of the Cane and Sugar Board. Thailand Sugar Cane Production Report Production Year 2019/2020 [Internet]. 2019 [cited 2020 Dec 10]. p. 1–3. Available from: http://www.ocsb.go.th/upload/production/fileupload/142-6015.pdf
