| 基于改进遗传算法的供应链物流成本优化模型研究 |
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| 引用本文： | 谢天保,巨莹.基于改进遗传算法的供应链物流成本优化模型研究[J].科技管理研究,2011,31(6). |
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| 作者姓名： | 谢天保 巨莹 |
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| 作者单位： | 西安理工大学,陕西西安,710054 |
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| 基金项目： | 陕西省软科学项目"关中天水经济区人力资源及物流信息发展问题研究" |
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| 摘 要： | 在竞争全球化的环境下,物流成本控制成为了提高整个供应链增值效益的有效途径.物流成本的控制一直以来都是降低供应链运作总成本的一个重要因素,物流成本的合理化可以使供应链总成本达到最优.将协同概念引入到供应链物流网络中,建立供应链物流成本优化模型来降低整个物流总成本,并采用改进的病毒进化遗传算法来实现模型的计算,使得能更有效、快速地得到问题的最优解,最后用一个算例来说明模型的实用性.
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| 关 键 词： | 物流协同 物流成本 改进的病毒进化遗传算法 |
Research on Supply Chain Logistics Cost Optimization Model Based on Genetic Algorithm |
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| XIE Tianbao,JU Ying.Research on Supply Chain Logistics Cost Optimization Model Based on Genetic Algorithm[J].Science and Technology Management Research,2011,31(6). |
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| Authors: | XIE Tianbao JU Ying |
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| Institution: | XIE Tianbao,JU Ying(Xi'an University of Technology,Xi'an 710054,China) |
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| Abstract: | Logistics cost control is becoming an effective way to improve the supply chain value-rising in global competition environment.Logistics cost control is always an important factor to reduce supply chain total cost,cost rationalization of logistics can make supply chain total cost reach the optimal.The article applies collaborative concept to supply chain logistics network,constructs logistics cost optimization model to reduce the total cost of logistics network,and implement the calculation of the model by ... |
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| Keywords: | logistics collaborative logistics cost IVEGA |
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