鲜活农产品冷链物流配送的干扰管理模型研究
发布时间：2018-11-16 19:26
【摘要】：针对干扰事件导致鲜活农产品冷链物流配送难以顺利实施这一难题,以生成扰动最小的调整方案为突破口,运用干扰管理思想,结合行为科学中行为感知的研究方法与运筹学中定量优化的研究手段,分析干扰事件对生产商、客户和物流配送运营商三个行为主体的影响,创建鲜活农产品冷链物流配送的干扰管理模型,并采用改进的蚁群算法——混合蚁群算法进行求解.算例结果表明:与重调度方法相比,本文方法能够综合考虑多个主体的利益,生成使系统扰动更小的调整方案.
[Abstract]:In view of the difficult problem that the cold chain logistics distribution of fresh agricultural products is difficult to carry out smoothly due to the disturbance events, the interference management thought is used to create the minimum disturbance adjustment scheme as the breakthrough point. Based on the research methods of behavioral science and quantitative optimization in operational research, this paper analyzes the impact of interference events on the three main actors: producer, customer and logistics operator. The interference management model of cold chain logistics distribution of fresh agricultural products was established, and the improved ant colony algorithm, hybrid ant colony algorithm, was used to solve the problem. The numerical results show that compared with the rescheduling method, the proposed method can synthetically consider the interests of multiple agents and generate an adjustment scheme that makes the disturbance of the system less.
【作者单位】： 东北财经大学工商管理学院;大连工业大学轻工与化学工程学院;东北财经大学管理科学与工程学院;
【基金】：国家自然科学基金(71301020) 辽宁省高等学校优秀人才支持计划(WJQ2014030) 辽宁省教育厅科学研究一般项目(W2013199,L2014216) 辽宁省经济社会发展课题(2016lslktzixxjc-05)~~
【分类号】：F326.6
，
本文编号：2336429
[Abstract]:In view of the difficult problem that the cold chain logistics distribution of fresh agricultural products is difficult to carry out smoothly due to the disturbance events, the interference management thought is used to create the minimum disturbance adjustment scheme as the breakthrough point. Based on the research methods of behavioral science and quantitative optimization in operational research, this paper analyzes the impact of interference events on the three main actors: producer, customer and logistics operator. The interference management model of cold chain logistics distribution of fresh agricultural products was established, and the improved ant colony algorithm, hybrid ant colony algorithm, was used to solve the problem. The numerical results show that compared with the rescheduling method, the proposed method can synthetically consider the interests of multiple agents and generate an adjustment scheme that makes the disturbance of the system less.
【作者单位】： 东北财经大学工商管理学院;大连工业大学轻工与化学工程学院;东北财经大学管理科学与工程学院;
【基金】：国家自然科学基金(71301020) 辽宁省高等学校优秀人才支持计划(WJQ2014030) 辽宁省教育厅科学研究一般项目(W2013199,L2014216) 辽宁省经济社会发展课题(2016lslktzixxjc-05)~~
【分类号】：F326.6
，
本文编号：2336429
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