In equipment integrated logistics support(ILS), the supply capability of spare parts is a significant factor. There are lots of depots in the traditional support system, which makes too many redundant spare parts and ...In equipment integrated logistics support(ILS), the supply capability of spare parts is a significant factor. There are lots of depots in the traditional support system, which makes too many redundant spare parts and causes high cost of support. Meanwhile,the inconsistency among depots makes it difficult to manage spare parts. With the development of information technology and transportation, the supply network has become more efficient. In order to further improve the efficiency of supply-support work and the availability of the equipment system, building a system of one centralized depot with multiple depots becomes an appropriate way.In this case, location selection of the depots including centralized depots and multiple depots becomes a top priority in the support system. This paper will focus on the location selection problem of centralized depots considering ILS factors. Unlike the common location selection problem, depots in ILS require a higher service level. Therefore, it becomes desperately necessary to take the high requirement of the mission into account while determining location of depots. Based on this, we raise an optimal depot location model. First, the expected transportation cost is calculated.Next, factors in ILS such as response time, availability and fill rate are analyzed for evaluating positions of open depots. Then, an optimization model of depot location is developed with the minimum expected cost of transportation as objective and ILS factors as constraints. Finally, a numerical case is studied to prove the validity of the model by using the genetic algorithm. Results show that depot location obtained by this model can guarantee the effectiveness and capability of ILS well.展开更多
在企业管理中,当使用现场备件需求率发生变化时,传统可修件库存策略往往造成备件资源配置不合理。为解决该问题,针对两级可修复备件库存系统,放宽备件分配与送修动态管理模型(Distribution and Repair in Variable Environments,DRIVE)...在企业管理中,当使用现场备件需求率发生变化时,传统可修件库存策略往往造成备件资源配置不合理。为解决该问题,针对两级可修复备件库存系统,放宽备件分配与送修动态管理模型(Distribution and Repair in Variable Environments,DRIVE)中"完全串件系统"假设,建立了基于计划期末设备"停机数不大于允许值概率"及"期望可用度"指标的库存分配模型,并将横向库存调整和库存预分配作为预防库存滞留的资产均衡手段。为描述系统瞬时行为、评估不同库存策略,建立了便于扩展的双线程Monte Carlo仿真模型。在使用现场需求动态变化的条件下,对所建库存模型与传统模型进行了仿真实验。结果分析表明,保障效能相比传统模型有了明显提高,从而验证了模型的有效性。展开更多
基金supported by the Science Challenge Project(TZ2018007)the National Natural Science Foundation of China(71671009+2 种基金 61871013 61573041 61573043)
文摘In equipment integrated logistics support(ILS), the supply capability of spare parts is a significant factor. There are lots of depots in the traditional support system, which makes too many redundant spare parts and causes high cost of support. Meanwhile,the inconsistency among depots makes it difficult to manage spare parts. With the development of information technology and transportation, the supply network has become more efficient. In order to further improve the efficiency of supply-support work and the availability of the equipment system, building a system of one centralized depot with multiple depots becomes an appropriate way.In this case, location selection of the depots including centralized depots and multiple depots becomes a top priority in the support system. This paper will focus on the location selection problem of centralized depots considering ILS factors. Unlike the common location selection problem, depots in ILS require a higher service level. Therefore, it becomes desperately necessary to take the high requirement of the mission into account while determining location of depots. Based on this, we raise an optimal depot location model. First, the expected transportation cost is calculated.Next, factors in ILS such as response time, availability and fill rate are analyzed for evaluating positions of open depots. Then, an optimization model of depot location is developed with the minimum expected cost of transportation as objective and ILS factors as constraints. Finally, a numerical case is studied to prove the validity of the model by using the genetic algorithm. Results show that depot location obtained by this model can guarantee the effectiveness and capability of ILS well.
文摘在企业管理中,当使用现场备件需求率发生变化时,传统可修件库存策略往往造成备件资源配置不合理。为解决该问题,针对两级可修复备件库存系统,放宽备件分配与送修动态管理模型(Distribution and Repair in Variable Environments,DRIVE)中"完全串件系统"假设,建立了基于计划期末设备"停机数不大于允许值概率"及"期望可用度"指标的库存分配模型,并将横向库存调整和库存预分配作为预防库存滞留的资产均衡手段。为描述系统瞬时行为、评估不同库存策略,建立了便于扩展的双线程Monte Carlo仿真模型。在使用现场需求动态变化的条件下,对所建库存模型与传统模型进行了仿真实验。结果分析表明,保障效能相比传统模型有了明显提高,从而验证了模型的有效性。
