公平伤害风险和成本分配的水稻种子收割中的多目标工作轮换

IF 0.6 Q4 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Waranyoo Thippo, Chorkaew Jaturanonda, Sorawit Yaovasuwanchai, C. Khompatraporn, T. Wuttipornpun, K. Meksawan
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引用次数: 0

摘要

本文提出了一个非线性多目标优化模型,该模型包含人工收割稻种的四个不同目标,旨在确保负责播种的稻田主人和负责收割稻种的工人之间的公平和互利。收割计划主要侧重于最大限度地降低工人的平均受伤风险,其次是平衡工人之间的风险。同时,该模型力求最大限度地减少并公平分配稻田所有者的工资成本。工人的年龄、性别和体重指数等特征会对受伤风险产生不同的影响。最佳解决方案是在适当的工作和休息时间内,让工人在几块稻田中轮换不同类型的稻杆。这种方法既能预防工人的肌肉骨骼疾病和疲劳,又能帮助稻田所有者降低成本。这种合作规划有可能提高农业社区的可持续性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multi-Objective Job Rotation in Rice Seed Harvesting With Equitable Injury Risk and Cost Allocation
This article presents a non-linear multi-objective optimization model with four different objectives for manual rice seed harvesting, aiming to ensure members' fairness and mutual benefits for a group of rice field owners responsible for seed planting and a group of workers tasked with harvesting rice seeds. The harvesting plan primarily focuses on minimizing the average injury risk to workers and secondarily balances this risk among workers. Simultaneously, the model seeks to minimize and equitably allocate wage costs for rice field owners. Worker characteristics, including age, gender, and body mass index are considered to influence injury risk differentially. The optimal solution involves rotating workers to different rice stalk types in several fields, all within appropriate work and rest periods. This approach serves to prevent musculoskeletal disorders and fatigue among the workers while helping rice field owners reduce their costs. This collaborative planning has the potential to enhance sustainability within the farming community.
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来源期刊
International Journal of Knowledge and Systems Science
International Journal of Knowledge and Systems Science OPERATIONS RESEARCH & MANAGEMENT SCIENCE-
CiteScore
3.00
自引率
10.00%
发文量
18
期刊介绍: The mission of the International Journal of Knowledge and Systems Science (IJKSS) is to promote the development of knowledge science and systems science as well as the collaboration between the two sciences among academics and professionals from various disciplines around the world. IJKSS establishes knowledge and systems science as a vigorous academic discipline in universities. Targeting academicians, professors, students, practitioners, and field specialists, this journal covers the development of new paradigms in the understanding and modeling of human knowledge process from mathematical, technical, social, psychological, and philosophical frameworks. The International Journal of Knowledge and Systems Science was originally launched by the International Society of Knowledge and Systems Science, which was initiated in 2000 in Japan and founded by Prof. Y. Nakamori, Professor Z. T. Wang and Professor J. Gu in 2003 in Guangzhou. Professor Z. T. Wang was its Founding Editor.
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