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Języki publikacji
EN
Abstrakty
EN
In recent years, the increase in population and the decrease in agricultural lands and water shortages have caused many problems for agriculture and farmers. That is why scheduling is so important for farmers. Therefore, the implementation of an optimal schedule will lead to better use of agricultural land, reduce water consumption in agriculture, increase efficiency and quality of agricultural products. In this research, a scheduling problem for harvesting agricultural products has been investigated. InPaper this problem, there are n number of agricultural lands that in each land m agricultural operations are performed by a number of machines that have different characteristics. This problem is modeled as a scheduling problem in a flexible workshop flow environment that aims to minimize the maximum completion time of agricultural land. The problem is solved by programming an integer linear number using Gams software. The results show that the proposed mathematical model is only capable of solving small and medium-sized problems, and due to the Hard-NP nature of the problem, large-scale software is not able to achieve the optimal solution.
Rocznik
Strony
151--161
Opis fizyczny
Bibliogr. 16 poz., rys., tab., wykr.
Twórcy
autor
  • Faculty of Agriculture, Universitas Medan Area, Medan, Indonesia
  • DS & CI Research Group Universitas Sumatera Utara, Medan
  • Medical Laboratories Techniques Department, Al-Mustaqbal University College, Babylon, Hilla, Iraq
  • Public Health Department, Faculty of Health Science, University of Pembangunan Nasional Veteran, Jakarta, Indonesia
  • College of science for women University of Babylon, Iraq
  • College of science for women University of Babylon, Iraq
  • K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russian Federation
  • K.G. Razumovsky Moscow State University of technologies and management (the First Cossack University), Moscow, Russian Federation
  • Kuban State Agrarian University named after I.T. Trubilin, Department of Management Krasnodar, Krasnodar
Bibliografia
  • [1] Osathanunkul, M., Sawongta, N., Pheera, W., Pechlivanis, N., Psomopoulos, F., & Madesis, P. (2021). Exploring plant diversity through soil DNA in Thai national parks for influencing land reform and agriculture planning. PeerJ, 9, e11753.
  • [2] Diehl, J. A., Sweeney, E., Wong, B., Sia, C. S., Yao, H., & Prabhudesai, M. (2020). Feeding cities: Singapore's approach to land use planning for urban agriculture. Global Food Security, 26, 100377.
  • [3] Zhou, Yang, Jingcheng Han, Jie Li, Ya Zhou, Keyi Wang, and Yuefei Huang. "Building resilient cities with stringent pollution controls: A case study of robust planning of Shenzhen City’s urban agriculture system". Journal of Cleaner Production 311 (2021): 127452.
  • [4] Derbile, E. K., Chirawurah, D., & Naab, F. X. (2021). Vulnerability of smallholder agriculture to environmental change in North-Western Ghana and implications for development planning. Climate and Development, 1-13.
  • [5] Caputo, P., Zagarella, F., Cusenza, M. A., Mistretta, M., & Cellura, M. (2020). Energy-environmental assessment of the UIA-OpenAgri case study as urban regeneration project through agriculture. Science of The Total Environment, 729, 138819.
  • [6] Pinedo, M., Scheduling. Theory, algorithms, and systems. With CD-ROM. 3rd ed. 2008.
  • [7] Van Elderen, E.J.A.S. Models and techniques for scheduling farm operations: a comparison. 5(1): p. 1-17
  • [8] Ferrer, J.C., et al., An optimization approach for scheduling wine grape harvest operations. 112 (2): p.985-999, 2008.
  • [9] Guan, S., et al., Resource assignment and scheduling based on a two-phase metaheuristic for cropping Systern. 66(2): p.181-190, 2009.
  • [10] Bochtis, D., et al., A flow-shop problem formulation of biomass handling operations scheduling. 91: p.49-56, 2013.
  • [11] Orfanou, A., et al., Scheduling for machinery fleets in biomass multiple-field operations. 94: p. 12-19, 2013.
  • [12] Thuankaewsing, S., et al., Harvest scheduling algorithm to equalize supplier benefits: A case study from the Thai sugar cane industry. 110: p. 42-55, 2015.
  • [13] Edwards, G., et al., Optimised schedules for sequential agricultural operations using a Tabu Search method. 117: p.102-113, 2015.
  • [14] Aguayo, M.M., et al., A com-stover harvest scheduling problem arising in cellulosic ethanol production. 107: p.102-112, 2017.
  • [15] D'Urso, G., et al., Multi-vehicle refill scheduling with queueing. 144: p. 44-57, 2018.
  • [16] Mahmoud, V., and Fatemeh, T., "A routing and scheduling problem in offshore logistics management with time windows and different ships." Journal of Research in Science, Engineering and Technology 9, no. 02: 1-16, 2021.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-387c4d11-3896-49fe-82eb-c41ce699ea94
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