| 鲜活农产品冷链物流配送的干扰管理模型研究 |
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| 引用本文： | 丁秋雷,姜洋,王文娟,齐飞.鲜活农产品冷链物流配送的干扰管理模型研究[J].系统工程理论与实践,2017,37(9):2320-2330. |
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| 作者姓名： | 丁秋雷 姜洋 王文娟 齐飞 |
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| 作者单位： | 1. 东北财经大学 工商管理学院, 大连 116025;2. 大连工业大学 轻工与化学工程学院, 大连 116034;3. 东北财经大学 管理科学与工程学院, 大连 116025 |
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| 基金项目： | 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） |
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| 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.
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| 关 键 词： | 冷链物流配送 干扰管理 鲜活农产品 多目标优化 |
| 收稿时间： | 2015-12-28 |
Disruption management model for cold chain delivery of fresh agricultural products |
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| DING Qiulei,JIANG Yang,WANG Wenjuan,QI Fei.Disruption management model for cold chain delivery of fresh agricultural products[J].Systems Engineering —Theory & Practice,2017,37(9):2320-2330. |
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| Authors: | DING Qiulei JIANG Yang WANG Wenjuan QI Fei |
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| Institution: | 1. School of Business Administration, Dongbei University of Finance and Economics, Dalian 116025, China;2. School of Light Industry and Chemical Engineering, Dalian Polytechnic University, Dalian 116034, China;3. School of Management Science and Engineering, Dongbei University of Finance and Economics, Dalian 116025, China |
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| Abstract: | It is difficult to continue with the original plan when the disruption occurs in cold chain delivery of fresh agricultural products. Based on disruption management, this research aims to improve the science of the decision making in cold chain delivery by combining the method of behavioral perception in behavioral science with the method of quantitative optimization in operations research. By analyzing the effects of disruption on the manufacturer, customer, and logistics enterprise, the disruption management model for cold chain delivery of fresh agricultural products is formed and an improved ant colony optimization is demonstrated. The computational results prove that, due to the tradeoff between all participators involved in cold chain delivery, our approach is more effective than the existing rescheduling. |
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| Keywords: | cold chain delivery disruption management fresh agricultural products multi-objective optimization |
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