| 基于随机需求与产能限制的供应链协同优化研究 |
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| 引用本文： | 童泽平,李涛,李立杰,任亮.基于随机需求与产能限制的供应链协同优化研究[J].计算机科学,2018,45(4):260-265. |
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| 作者姓名： | 童泽平 李涛 李立杰 任亮 |
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| 作者单位： | 武汉科技大学管理学院工商与物流管理系 武汉430081,武汉科技大学计算机科学与技术学院信息安全系 武汉430081,北京理工大学软件学院 北京100081,武汉科技大学管理学院工商与物流管理系 武汉430081 |
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| 基金项目： | 本文受国家自然科学基金项目:基于在线双向拍卖的运输服务市场交易策略研究(71501147),湖北省教育厅科学技术研究项目:考虑决策者行为的第四方物流路径优化问题研究(Q20171104)资助 |
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| 摘 要： | 供应链所面临的需求随机性以及供应方的产能限制对供应链协同路径优化有着显著影响。已有研究并未考虑二者综合作用下供应链各参与主体的行为选择机理及协同优化的实现路径。对此,建立了一个包含多制造商与单一销售商的二级供应链模型,运用非合作博弈的方法求得稳定均衡解,并探讨了实现供应链协同优化的有效路径,从而有助于为供应链参与主体提供决策支持。
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| 关 键 词： | 供应链优化 随机需求 产能限制 协同优化 |
| 收稿时间： | 2017/12/25 0:00:00 |
| 修稿时间： | 2018/1/27 0:00:00 |
Study on Collaborative Optimization of Supply Chain with Uncertain Demand and Capacity Constraint |
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| TONG Ze-ping,LI Tao,LI Li-jie and REN Liang.Study on Collaborative Optimization of Supply Chain with Uncertain Demand and Capacity Constraint[J].Computer Science,2018,45(4):260-265. |
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| Authors: | TONG Ze-ping LI Tao LI Li-jie and REN Liang |
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| Affiliation: | Department of Business Administration and Logistics Management,School of Management,Wuhan University of Science and Technology,Wuhan 430081,China,Department of Information Security,School of Computer Science and Technology,Wuhan University of Science and Technology,Wuhan 430081,China,School of Software,Beijing Institute of Technology,Beijing 100081,China and Department of Business Administration and Logistics Management,School of Management,Wuhan University of Science and Technology,Wuhan 430081,China |
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| Abstract: | The uncertainty demand of supply chain market and the capacity constraint of suppliers have a great impact on the path of optimization in supply chain.Most of the existing literatures do not analyze the behavior choosing mechanization and collaborative optimization in supply chain with both uncertain demand and capacity-constrained suppliers.Thus,this paper established a multi-suppliers-one-retailer supply chain to analyze the efficient way to achieve the collabo-rative optimization by using the non-cooperative game theory.The results are helpful for the stakeholders of supply chain in making decisions. |
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| Keywords: | Supply chain optimization Uncertain demand Capacity constrained Collaborative optimization |
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