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。     

装备器材库存结构优化方法研究

器材是装备保障效益实现的物质基础,针对装备器材管理工作的关键环节——器材库存结构优化过程中涉及的相关问题,整理、分析了国内外相关研究现状,重点对节点库存优化与层级库存模式调整方法进行综述,并着眼于系统工程,充分考虑库存结构与器材供应的相互影响,对装备器材库存结构优化方法的下一步的研究重点与趋势进行了展望。     

有限维修能力下多级保障系统装备时变可用度评估及保障方案优化

备件库存和站点维修能力是影响备件维修周转的重要因素,制约着装备的使用效果。针对备件需求随任务阶段动态变化时装备保障方案的评估和优化问题,考虑站点维修能力对备件维修过程的影响,结合METRIC建模方法和动态排队理论,建立了有限维修能力下多级保障系统装备时变可用度评估模型。在评估模型基础之上,以保障费用为优化目标、装备可用度为约束条件,建立任务期内多级保障系统保障方案优化模型。以任务期内的最低可用度所对应的备件短缺数为观测值,分析各项资源的边际效益值,采用边际优化算法对各项资源进行优化计算。算例分析表明,评估模型能够计算多级保障系统任务期内各阶段装备可用度;保障方案优化模型和方法能够得到各项保障资源的优化配置方案。提出的模型和优化方法能够为装备保障人员制订合理的保障方案提供决策支持。     

有限维修能力下多级保障系统装备时变可用度评估及保障方案优化

备件库存和站点维修能力是影响备件维修周转的重要因素，制约装备使用效果。针对备件需求随任务阶段动态变化的装备保障方案评估和优化问题，考虑站点维修能力对备件维修过程的影响，结合METRIC建模方法和动态排队理论，建立了有限维修能力下多级保障系统装备时变可用度评估模型。在评估模型基础之上，以保障费用为优化目标，装备可用度为约束条件，建立了任务期内多级保障系统保障方案优化模型。以任务期内的最低可用度所对应的备件短缺数为观测值，分析了各项资源的边际效益值，采用边际优化算法对各项资源进行优化计算。算例分析表明，评估模型能够计算多级保障系统任务期内各阶段装备可用度；保障方案优化模型和方法能够得到各项保障资源的优化配置方案。提出的模型和优化方法能够为装备保障人员制定合理的保障方案提供决策支持。     

二级库存-运输系统的联合经济订购模型

结合器材供应的实际,构建了一个国家仓库-地区仓库形成的二级库存-运输系统,以最低费用为目标,建立了该系统的联合经济订购模型,求解了该系统各仓库的最佳订货量和订货次数;运用该模型对3种订货策略（年度1次订货、年度多次订货、零库存订货）进行了算例验证,表明了该模型在优化多级库存运输系统订货参数方面的意义。     

非抢占维修优先权下的多级备件库存优化

针对装备保障组织中维修站点维修能力有限的问题,在经典VARI-METRIC理论基础上,首先基于稳态排队理论,考虑非抢占维修优先权对故障件维修过程的影响,建立了非抢占维修优先权下的装备可用度评估模型和多级备件初始库存优化模型;然后,构造了多级保障系统非抢占优先权分配方案的优化目标函数,并利用遗传算法对优先权分配方案进行优化;最后,随后利用边际优化算法对备件库存进行优化。算例分析表明:考虑非抢占维修优先权备件购置费用相比于传统先到先修的降低了37.14%,说明了当维修站点维修能力有限时,合理设置故障件的非抢占维修优先权会降低备件购置费用,提高保障效果。     

基于改进灰色聚类的装备器材库存分类方法

针对实际中装备器材种类多、难管理造成的库存失衡问题,设计了基于改进灰色聚类的装备器材库存分类方法。根据装备器材消耗特点,定义了需求波动系数作为库存分类指标之一,引入了信息熵确定聚类指标权重,基于灰类中心点给出了聚类的三角白化权函数。以某装甲器材仓库器材为例进行了计算分析,库存分类结果符合预期,验证了方法的合理性和有效性。     

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。     

鱼雷装备备件隶属关系的两级库存系统配置优化研究

备件库存系统配置优化是提高武器装备的战备完好性和降低寿命周期费用的重要途径,但在装备组成结构中,由于部件之间存在一定的隶属关系,并不是所有的项目都能够进行串件。针对现有两级库存系统备件配置优化研究的不完善之处,根据装备结构层次特点,通过分析鱼雷装备LRU和SRU备件两级库存系统,提出了备件初始配置方案下的备件库存缺货数模型,并在此基础上建立了基于备件隶属关系的两级库存系统配置优化模型。该模型以鱼雷装备使用度和库存费用为优化目标,通过优化备件库存配置结构,生成较好的备件库存配置方案,从而节约备件配置费用,避免造成资源浪费。     

战区弹药保障敏捷供应链优化模型及实现算法

针对现有的供需矛盾,在分析战区弹药保障供应链管理任务需求的基础上,初步构建了战区弹药保障敏捷供应链管理框架及运行机制,分析了战区弹药保障敏捷供应链的供需协同机制,重点对多级库存优化控制模型、多级弹药配送决策优化模型及实现算法进行了研究,提出了战区弹药保障敏捷供应链建设的具体对策。     

基于OWA算子的军队院校物资采购招投标管理研究

针对军队院校物资采购招投标管理问题,文中分析了军队院校物资采购招投标的特点,研究了基于合同的谈判机制;针对评标过程中,其所评指标中存在定量指标和定性指标的特点,提出一种基于OWA算子和语言OWA算子的综合多属性群决策方法,实现了招投标管理中的评标、定标。最后,通过实例说明了该方法的有效性及合理性。     

面向需求变化的军队自动化立体仓库货位优化

为提高军队自动化立体仓库的出库能力,提出应根据需求变化对在库物资货位进行动态调整,从而最大限度地保障军队物资需求。综合考虑堆垛机总行程、货物离散度和出库频率等评价指标,采用遗传算法对该多目标优化问题进行求解,并运用Matalab仿真。结果表明,该方法能较好地提高军队自动化立体仓库在需求动态变化时的出库能力。同时,该研究对一般仓库的货位优化也有一定的借鉴意义。     

A stock redistribution model

Multi-depot supply systems are subject to stock distribution imbalances; i. e., the fraction of total system stock located at a depot may be too small to support the fraction of system demand expected to be placed on it. In the supply system of concern, a cutomer is always satisfied if there is stock anywhere in the system. Stock redistributions to correct imbalances may reduce both transportation costs and customer waiting times. A model for determining optimum redistribution quantities is formulated, and a practical method of solution for the two depot case is described. Selected numerical illustrations are given.     

A three-echelon,multi-item model for recoverable items

The main objective of this paper is to develop a mathematical model for a particular type of three-echelon inventory system. The proposed model is being used by the Air Force to evaluate inventory investment requirements for alternative logistic structures. The system we will model consists of a group of locations, called bases, and a central depot. The items of concern in our analysis are called recoverable items, that is, items that can be repaired when they fail. Furthermore, each item has a modular or hierarchical design. Briefly, the model is used to determine the stock levels at each location for each item so as to achieve optimum inventory-system performance for a given level of investment. An algorithm for the computation of stock levels for each item and location is developed and illustrated. Some of the ways the model can be used are illustrated with Air Force data.     

A two-echelon inventory model with purchases,dispositions, shipments,returns and transshipments

This paper presents a one-period two-echelon inventory model with one warehouse in the first echelon and n warehouses in the second echelon. At the beginning of the period the stock levels at all facilities are adjusted by purchasing or disposing of items at the first echelon, returning or shipping items between the echelons and transshipping items within the second echelon. During the period, demands (which may be negative) are placed on all warehouses in the second echelon and an attempt is made to satisfy shortages either by an expedited shipment from the first echelon to the second echelon or an expedited transshipment within the second echelon. The decision problem is to choose an initial stock level at the first echelon (by a purchase or a disposition) and an initial allocation so as to minimize the initial stock movement costs during the period plus inventory carrying costs and system shortage costs at the end of the period. It is shown that the objective function takes on one of four forms, depending on the relative magnitudes of the various shipping costs. All four forms of the objective function are derived and proven to be convex. Several applications of this general model are considered. We also consider multi-period extensions of the general model and an important special case is solved explicitly.     

Estimating the Amount of Nuclear Weapon-usable Material Outside Government Control Using Data on Reported Seizures

Terrorists could acquire nuclear weapons by using weapon-usable nuclear material that was stolen or otherwise diverted from legitimate authorities. Multiple well-documented seizures suggest the existence of a black market that draws on an unknown stock of weapon-usable nuclear material that is not under the control of authorities. We estimate the total amount of uncontrolled material based on publicly reported seizures and several different statistical methods and models. We estimate that 90 to 250 kilograms—sufficient for up to ten nuclear weapons—remain outside the control of legitimate authorities. While this estimate is subject to large uncertainties and potential bias, governments may have additional information about nuclear material seizures that could be used to improve estimates.     

工龄更换策略下的备件库存决策研究

针对单部件系统工龄更换策略下备件需求的特点,建立了工龄更换策略与备件库存控制的联合优化模型。该模型通过分析一个订购期内工龄更换间隔期T及备件最大库存水平S对系统寿命分布的影响,建立了工龄更换间隔期、订购间隔期及最大库存水平与单位时间总费用（包括维修费用和库存费用）的关系,然后以单位时间总费用最小为目标,优化工龄更换间隔期T、订购间隔期t0及最大库存水平S。最后,基于案例,运用Matlab对模型进行数值计算,结果表明模型能有效地降低单位时间的总费用。     

On the (S − 1, S) lost sales inventory model with priority demand classes

In this paper an inventory model with several demand classes, prioritised according to importance, is analysed. We consider a lot‐for‐lot or (S ? 1, S) inventory model with lost sales. For each demand class there is a critical stock level at and below which demand from that class is not satisfied from stock on hand. In this way stock is retained to meet demand from higher priority demand classes. A set of such critical levels determines the stocking policy. For Poisson demand and a generally distributed lead time, we derive expressions for the service levels for each demand class and the average total cost per unit time. Efficient solution methods for obtaining optimal policies, with and without service level constraints, are presented. Numerical experiments in which the solution methods are tested demonstrate that significant cost reductions can be achieved by distinguishing between demand classes. © 2002 Wiley Periodicals, Inc. Naval Research Logistics 49: 593–610, 2002; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/nav.10032     

A dynamic inventory system with recycling

This paper deals with a periodic review inventory system in which a constant proportion of stock issued to meet demand each period feeds back into the inventory after a fixed number of periods. Various applications of the model are discussed, including blood bank management and the control of reparable item inventories. We assume that on hand inventory is subject to proportional decay. Demands in successive periods are assumed to be independent identically distributed random variables. The functional equation defining an optimal policy is formulated and a myopic base stock approximation is developed. This myopic policy is shown to be optimal for the case where the feedback delay is equal to one period. Both cost and ordering decision comparisons for optimal and myopic policies are carried out numerically for a delay time of two periods over a wide range of input parameter values.     

Optimal policy for a dynamic multi-echelon inventory model

A general multiperiod multi-echelon supply system consisting of n facilities each stocking a single product is studied. At the beginning of a period each facility may order stock from an exogenous source with no delivery lag and proportional ordering costs. During the period the (random) demands at the facilities are satisfied according to a given supply policy that determines to what extent stock may be redistributed from facilities with excess stock to those experiencing shortages. There are storage, shortage, and transportation costs. An ordering policy that minimizes expected costs is sought. If the initial stock is sufficiently small and certain other conditions are fulfilled, it is optimal to order up to a certain base stock level at each facility. The special supply policy in which each facility except facility 1 passes its shortages on to a given lower numbered facility called its direct supplier is examined in some detail. Bounds on the base stock levels are obtained. It is also shown that if the demand distribution at facility j is stochastically smaller (“spread” less) than that at another facility k having the same direct supplier and if certain other conditions are fulfilled, then the optimal base stock level (“virtual” stock out probability) at j is less than (greater than) or equal to that at facility k.