联合补充博弈的费用分摊

就一个仓库、多个零售商,对联合订货费用函数的模型进行分析,给出了一个求解最佳订货周期的多项式时间的算法,且算法的时间复杂性为O（nlogn）。利用文献[8]中的技巧,给出了该库存博弈的核。     

基于自适应遗传算法的配送型多级库存优化研究

研究了由1个战役仓库、多个战术仓库组成的配送型系统的优化问题,建立了战术仓库使用经济订货批量策略和战役仓库采用4种不同订货策略时的模型,并采用自适应遗传算法实现了模型的求解,实例验证了模型及算法的有效性。     

多品种维修器材统一订购策略的库存决策模型

分析了一种多品种维修器材联合订货的库存决策模型,该模型采用连续检查的多品种统一订购库存策略。维修器材库存控制的目的是在确保维修器材服务水平的基础上,降低库存成本。根据这一思想设计了算法,该算法首先假设订货点和订购提前期为零,根据库存成本确定最大库存量,然后考虑订货点和订购提前期不为零的情况,根据维修器材满足率确定各品种维修器材的订货点,从而求得决策参数。最后通过实例证明模型和算法的有效性。     

基于两级库存的装备备件配置优化模型

备件库存配置优化是提高装备战备完好性、降低装备寿命周期费用的重要途径。分析了基地级仓储中心、基层级仓库两级装备现场可更换单元(Line-Replacement Unit,LRU)库存系统,提出了备件初始配置方案下库存缺货模型,建立了基于备件隶属关系的两级库存系统配置优化模型。该模型以装备可用度和库存费用为优化目标,通过优化备件库存配置结构,形成合理的备件库存配置方案,从而降低备件配置费用,避免资源浪费。     

军事虚拟仓库应急保障仿真分析

在分析应急物流研究成果基础上,探索应用虚拟仓库理论和仿真技术研究应急物流中的协同库存问题.为此,构建了军事虚拟仓库系统及其协同控制系统动力学仿真模型,并针对军民、军军仓库间的应急物流协同保障策略进行仿真分析,结果表明这种方法可以在应急状态下合理调度和管理各类仓库资源,改进应急物流条件下仓库保障能力.     

基于虚拟仓储的备件库存优化体系

根据虚拟仓储的特点,分析了虚拟仓库的资源基础,将库存资源、在运资源和部分在生产资源、在用资源纳入虚拟仓库控制之下,构建了一个由控制层、资源层和储备层构成的库存优化体系结构,给出了其包含实体仓库、控制中心、生产单位和使用单位在内的网络拓扑结构,并研究了相应的库存优化模型,为维修保障物资管理提供了一种新的方法和思路.     

配套装备器材的库存与运输集成优化研究

针对我军配套装备器材订货的特点，在考虑库存容量空间限制与整套装备的最低期望满足率两种约束条件下，建立了配套装备器材的库存与运输优化模型，并应用改进的动态规划方法进行求解。结果表明：应用库存与运输的优化模型，在保障军事目标实现的前提下，有效地降低了物流成本。     

基于OWL本体和内嵌谓词SWRL的空军智慧航材订货模型

针对目前航材订货中的人为修正经验可能因订货决策人员岗位变动而"失传"的问题,提出了利用本体论和内嵌谓词SWRL(Semantic Web Rule Language)构建航材订货的OWL(Ontology Web Language)本体和订货推理的SWRL规则,采用Protégé软件和Jess推理引擎实现了空军智慧航材订货系统的应用模型。该模型可以有效积累航材订货工作经验,协助航材订货人员进行订货决策,从而减少航材订货的学习成本,提高订货效率。     

消耗性航材备件订货模型的确定

本文在讨论航材备件需求率的基础上,从分析备件保障率入手,研究提出了按照航材保障率来确定航材的最佳订货周期和最佳订货批量的一种新的科学方法,建立了消耗性航材备件的订货模型,避免了以往单纯以年度需求量R作为消耗性器材订货依据的经验误区。     

基于EML模型的备件库存优化方法

针对当备件重要度不同时METRIC模型无法再使用边际效应法及在有限的保障经费和仓库空间约束条件下的备件库存问题,建立了评价备件重要度的12个指标,并给出了备件重要度的求解步骤;以装备可用度模型为基础,结合备件重要度,改进了边际效应法;以仓库空间、装备可用度为约束条件,以保障费用为目标函数,给出了以改进的边际效应法求出备件库存配置方案的步骤;案例研究表明:采用EML模型可以在最大化利用约束条件、满足目标要求、重点照顾重要度高的备件,同时对重要度一般的备件也能兼顾。     

The one‐warehouse multiretailer problem with an order‐up‐to level inventory policy

We consider a two‐level system in which a warehouse manages the inventories of multiple retailers. Each retailer employs an order‐up‐to level inventory policy over T periods and faces an external demand which is dynamic and known. A retailer's inventory should be raised to its maximum limit when replenished. The problem is to jointly decide on replenishment times and quantities of warehouse and retailers so as to minimize the total costs in the system. Unlike the case in the single level lot‐sizing problem, we cannot assume that the initial inventory will be zero without loss of generality. We propose a strong mixed integer program formulation for the problem with zero and nonzero initial inventories at the warehouse. The strong formulation for the zero initial inventory case has only T binary variables and represents the convex hull of the feasible region of the problem when there is only one retailer. Computational results with a state‐of‐the art solver reveal that our formulations are very effective in solving large‐size instances to optimality. © 2010 Wiley Periodicals, Inc. Naval Research Logistics, 2010     

一种基于数据仓库的通用OLAP数据接入构件的新型设计

为了解决异构数据源融合和数据仓库的迁移问题,结合数据仓库和构件技术的思想,提出了一种基于数据仓库的通用OLAP(online analysis process)数据接入构件的设计方案.该方案针对完成数据操作封装的数据接入构件进行了建模,并且针对这种模型设计了一个基于构件的OLAP通用数据接入原型系统,实现了OLAP界面展示工具和异构数据源的自由配对和无缝迁移.     

An exact analysis of a joint production‐inventory problem in two‐echelon inventory systems

We consider a two‐echelon inventory system with a manufacturer operating from a warehouse supplying multiple distribution centers (DCs) that satisfy the demand originating from multiple sources. The manufacturer has a finite production capacity and production times are stochastic. Demand from each source follows an independent Poisson process. We assume that the transportation times between the warehouse and DCs may be positive which may require keeping inventory at both the warehouse and DCs. Inventory in both echelons is managed using the base‐stock policy. Each demand source can procure the product from one or more DCs, each incurring a different fulfilment cost. The objective is to determine the optimal base‐stock levels at the warehouse and DCs as well as the assignment of the demand sources to the DCs so that the sum of inventory holding, backlog, and transportation costs is minimized. We obtain a simple equation for finding the optimal base‐stock level at each DC and an upper bound for the optimal base‐stock level at the warehouse. We demonstrate several managerial insights including that the demand from each source is optimally fulfilled entirely from a single distribution center, and as the system's utilization approaches 1, the optimal base‐stock level increases in the transportation time at a rate equal to the demand rate arriving at the DC. © 2011 Wiley Periodicals, Inc. Naval Research Logistics, 2011     

基于多Agent仿真的装备保障体系供应保障系统设计与实现?

针对部队装备保障运行的实际情况，采用多Agent仿真的方法，基于Kraljic模型将装甲装备器材分为重要器材、关键器材、一般器材和稀缺器材，并以此为基础构建了装备保障体系供应保障系统。分析了系统的整体结构以及系统中器材仓库的外部接口和内部器材请领流程，并以某集团军各级器材仓库为研究对象进行了仿真实例分析。实践证明，采用多Agent仿真的方法研究装备保障体系供应保障活动具备可行性和有效性，有利于宏观把握部队装备保障的运行规律，提高部队装备保障能力。     

基于GMM的数据仓库管理与维护

元数据管理系统是构建、管理、维护和使用数据仓库系统的核心部件。元数据管理关键在于构建一个全面的、可扩展的元数据模型,表示各种类型的元数据。本文提出了一个通用的元数据模型GMM,该模型可以有效支持数据仓库的管理和维护,如用户视图管理、个性化服务、增量刷新、数据志跟踪等。     

A two-station stochastic inventory model with exact methods of computing optimal policies

A method is presented for calculating optimal inventory levels in a two-station transactions reporting inventory system. The criterion of optimality is the minimization of expected cost. The computational properties of the model are stressed and the solution method is precise. It is shown that when the model represents a central warehouse which supplies several retail outlets, stocks carried at the central location affect the capacity of the system to handle orders. Stocks carried at the retail level affect only the size of the retail order backlog.     

Effectiveness of (R,Q) policies in one‐warehouse multiretailer systems with deterministic demand and backlogging

Consider a distribution system with a central warehouse and multiple retailers. Customer demand arrives at each of the retailers continuously at a constant rate. The retailers replenish their inventories from the warehouse which in turn orders from an outside supplier with unlimited stock. There are economies of scale in replenishing the inventories at both the warehouse and the retail level. Stockouts at the retailers are backlogged. The system incurs holding and backorder costs. The objective is to minimize the long‐run average total cost in the system. This paper studies the cost effectiveness of (R, Q) policies in the above system. Under an (R, Q) policy, each facility orders a fixed quantity Q from its supplier every time its inventory position reaches a reorder point R. It is shown that (R, Q) policies are at least 76% effective. Numerical examples are provided to further illustrate the cost effectiveness of (R, Q) policies. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 422–439, 2000     

Transshipment through crossdocks with inventory and time windows

A major challenge in making supply meet demand is to coordinate transshipments across the supply chain to reduce costs and increase service levels in the face of demand fluctuations, short lead times, warehouse limitations, and transportation and inventory costs. In particular, transshipment through crossdocks, where just‐in‐time objectives prevail, requires precise scheduling between suppliers, crossdocks, and customers. In this work, we study the transshipment problem with supplier and customer time windows where flow is constrained by transportation schedules and warehouse capacities. Transportation is provided by fixed or flexible schedules and lot‐sizing is dealt with through multiple shipments. We develop polynomial‐time algorithms or, otherwise, provide the complexity of the problems studied. © 2005 Wiley Periodicals, Inc. Naval Research Logistics, 2005     

基于GO法的军事供应链可靠性分析

军事供应链管理要获得高效率和效益，最基础的必须是有高可靠性作保证。结合GO法——一种系统可靠性分析方法和军事供应链自身的特点，阐明了将GO法应用于军事供应链可靠性分析中的可行性。通过构建军事供应链结构模型，运用GO法原理，分析出军事供应链系统中的信号流和操作符，将军事供应链系统结构图转化为GO图，通过GO运算，求出各信号流的等效故障率，进而求出军事供应链中各节点的等效可靠度，对供应链网络结构模型的可靠性问题进行定量分析，并通过实例对该方法的应用进行了具体说明。结果表明：GO法不仅能够计算出整个军事供应链的可靠性，还可以清楚地得到各环节的可靠性，从而可以追溯出影响军事供应链系统整体可靠性的瓶颈，为制定相关的可靠性管理措施提供科学依据。     

Fixed‐interval joint‐replenishment policies for distribution systems with multiple retailers and stochastic demand

We consider a distribution system consisting of a central warehouse and a group of retailers facing independent stochastic demand. The retailers replenish from the warehouse, and the warehouse from an outside supplier with ample supply. Time is continuous. Most previous studies on inventory control policies for this system have considered stock‐based batch‐ordering policies. We develop a time‐based joint‐replenishment policy in this study. Let the warehouse set up a basic replenishment interval. The retailers are replenished through the warehouse in intervals that are integer multiples of the basic replenishment interval. No inventory is carried at the warehouse. We provide an exact evaluation of the long‐term average system costs under the assumption that stock can be balanced among the retailers. The structural properties of the inventory system are characterized. We show that, although it is well known that stock‐based inventory control policies dominate time‐based inventory control policies at a single facility, this dominance does not hold for distribution systems with multiple retailers and stochastic demand. This is because the latter can provide a more efficient mechanism to streamline inventory flow and pool retailer demand, even though the former may be able to use more updated stock information to optimize system performance. The findings of the study provide insights about the key factors that drive the performance of a multiechelon inventory control system. © 2013 Wiley Periodicals, Inc. Naval Research Logistics 60: 637–651, 2013