The decision-making and optimization of two-echelon inventory coordination were analyzed with service level constraint and controllable lead time sensitive to order quantity.First,the basic model of this problem was e...The decision-making and optimization of two-echelon inventory coordination were analyzed with service level constraint and controllable lead time sensitive to order quantity.First,the basic model of this problem was established and based on relevant analysis,the original model could be transformed by minimax method.Then,the optimal order quantity and production quantity influenced by service level constraint were analyzed and the boundary of optimal order quantity and production quantity was given.According to this boundary,the effective method and tactics were put forward to solve the transformed model.In case analysis,the optimal expected total cost of two-echelon inventory can be obtained and it was analyzed how service level constraint and safety factor influence the optimal expected total cost of two-echelon inventory.The results show that the optimal expected total cost of two-echelon inventory is constrained by the higher constraint between service level constraint and safety factor.展开更多
多项目资源管理有时需要采用一种资源专享-转移策略,该策略下可更新资源在多项目之间不共享,但在当前项目完工之后其资源可以转移至其它还未开始的项目。针对这一实际问题的理论研究非常有限。考虑活动工期的不确定性,从时差效用函数视...多项目资源管理有时需要采用一种资源专享-转移策略,该策略下可更新资源在多项目之间不共享,但在当前项目完工之后其资源可以转移至其它还未开始的项目。针对这一实际问题的理论研究非常有限。考虑活动工期的不确定性,从时差效用函数视角评价项目调度计划的鲁棒性,在考虑拖期成本-鲁棒性的多目标问题框架下,构建了一个资源专享-转移视角下的多项目资源分配(战术层)与鲁棒调度(运作层)双层决策优化模型。针对模型的NP-hard性质和多目标组合优化特征,设计了一种新的自适应大邻域搜索(adaptive large neighborhood search, ALNS)算法求解模型。该算法采用“项目-缓冲-资源-活动”列表的混合编码表示问题可行解,提出基于四类列表的destroy-repair邻域结构,设计一种超体积指标进行自适应搜索以提高算法性能。最后,为了验证ALNS算法的适用性和有效性,设计一种NSGA-II算法作为比较基准,通过大规模仿真实验对算法性能进行了对比分析,并探索工期不确定水平对多项目调度方案鲁棒性的影响。展开更多
基金Project(71102174,71372019)supported by the National Natural Science Foundation of ChinaProject(9123028)supported by the Beijing Natural Science Foundation of China+3 种基金Project(20111101120019)supported by the Specialized Research Fund for Doctoral Program of Higher Education of ChinaProject(11JGC106)supported by the Beijing Philosophy&Social Science Foundation of ChinaProjects(NCET-10-0048,NCET-10-0043)supported by the Program for New Century Excellent Talents in University of ChinaProject(2010YC1307)supported by Excellent Young Teacher in Beijing Institute of Technology of China
文摘The decision-making and optimization of two-echelon inventory coordination were analyzed with service level constraint and controllable lead time sensitive to order quantity.First,the basic model of this problem was established and based on relevant analysis,the original model could be transformed by minimax method.Then,the optimal order quantity and production quantity influenced by service level constraint were analyzed and the boundary of optimal order quantity and production quantity was given.According to this boundary,the effective method and tactics were put forward to solve the transformed model.In case analysis,the optimal expected total cost of two-echelon inventory can be obtained and it was analyzed how service level constraint and safety factor influence the optimal expected total cost of two-echelon inventory.The results show that the optimal expected total cost of two-echelon inventory is constrained by the higher constraint between service level constraint and safety factor.
文摘多项目资源管理有时需要采用一种资源专享-转移策略,该策略下可更新资源在多项目之间不共享,但在当前项目完工之后其资源可以转移至其它还未开始的项目。针对这一实际问题的理论研究非常有限。考虑活动工期的不确定性,从时差效用函数视角评价项目调度计划的鲁棒性,在考虑拖期成本-鲁棒性的多目标问题框架下,构建了一个资源专享-转移视角下的多项目资源分配(战术层)与鲁棒调度(运作层)双层决策优化模型。针对模型的NP-hard性质和多目标组合优化特征,设计了一种新的自适应大邻域搜索(adaptive large neighborhood search, ALNS)算法求解模型。该算法采用“项目-缓冲-资源-活动”列表的混合编码表示问题可行解,提出基于四类列表的destroy-repair邻域结构,设计一种超体积指标进行自适应搜索以提高算法性能。最后,为了验证ALNS算法的适用性和有效性,设计一种NSGA-II算法作为比较基准,通过大规模仿真实验对算法性能进行了对比分析,并探索工期不确定水平对多项目调度方案鲁棒性的影响。
