...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Scandinavian Journal of Forest Research >Applying dynamic multiple-objective optimization in inter-enterprise collaboration to improve the efficiency of energy wood transportation and storage
【24h】

Applying dynamic multiple-objective optimization in inter-enterprise collaboration to improve the efficiency of energy wood transportation and storage

机译：在企业间协作中应用动态多目标优化，以提高能源木材的运输和存储效率

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In Finland, VR Group (the state-owned railway company) provides third-party logistics services (3PLs) for industrial customers. Their current static, single-objective optimization model does not support inter-enterprise collaboration to achieve optimal railway logistics. In this study, I introduce a collaborative decision-support method that can be applied to manage railway traffic under a scenario of increasing imports of Russian wood. Based on the data obtained to support this research, I describe railway traffic strategy scenarios in terms of 3PLs to account for the changed energy wood transportation and storage needs related to imported Russian wood. In the scenarios, the railway wagon rotation was adjusted to reach a globally optimal strategy that achieves efficient wood procurement logistics for the Finnish forest industry. These decisions were based on a comprehensive logistics analysis of the integrated wood demand and a supply chain model for southeastern Finland in the context of collaborative decision-making among members of the logistics chain. The model, which is based on dynamic multiple-objective linear programming, supports inter-enterprise collaboration because the adaptation of Russian wood imports to the regional railway transportation environment will require continuous, integrated optimization of the flows of wood and railway wagons.
机译：在芬兰，VR Group（国有铁路公司）为工业客户提供第三方物流服务（3PL）。他们当前的静态，单目标优化模型不支持企业间协作以实现最佳铁路物流。在这项研究中，我介绍了一种协作决策支持方法，该方法可用于在俄罗斯木材进口增加的情况下管理铁路运输。基于获得的支持这项研究的数据，我以3PLs来描述铁路交通策略方案，以说明与进口俄罗斯木材有关的能源木材运输和储存需求的变化。在这些方案中，调整了铁路货车的旋转以达到全球最佳战略，该战略为芬兰森林工业实现了高效的木材采购物流。这些决策是基于对综合木材需求的全面物流分析以及芬兰东南部在物流链成员之间协作决策的背景下的供应链模型而做出的。该模型基于动态多目标线性规划，支持企业间的协作，因为要使俄罗斯木材进口适应区域铁路运输环境，就需要对木材和铁路货车的流量进行连续，综合的优化。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号