动力煤供应链多级库存控制模型与算法研究

为了降低动力煤供应链库存总成本,并保障动力煤资源供需系统持续稳定运行,引入多级库存控制理论,建立了基于成本最小化的动力煤供应链多级库存控制概念模型与数学模型,设计了遗传算法求解储配煤基地和区域性配送中心的最佳订货点、订货批量及调拨批量。最后,通过算例证明了该模型与算法的有效性和实用性。基于上述研究结论,为我国动力煤供应链库存控制提供了决策支持和对策建议。     

允许退货的多品种多级库存系统库存控制研究

针对逆向物流中的多品种库存问题,建立了基于利润最大化的供应链多级库存模型,并提出了启发式算法求解.最后通过给出算例,验证了模型的实用性.     

基于系统动力学仿真决策模型的油库库存控制研究

对油库库存控制系统进行研究,结合油料收发的动态过程,运用系统动力学理论构建油库库存控制仿真决策模型,通过Vensim仿真平台模拟案例进行分析验证,为油库库存控制提供了一种新方法.     

基于系统动力学的供应链库存仿真研夯

文章利用系统动力学及Vensim建模平台建立了供应链库存系统动力学模型,以制造商和零售商的订货成本和产品定价为控制变量.进行了模型仿真,根据仿真结果分析了供应链库存的稳定性和供应链利润.     

基于系统动力学的供应链库存仿真研究

文章利用系统动力学及Vensim建模平台建立了供应链库存系统动力学模型,以制造商和零售商的订货成本和产品定价为控制变量,进行了模型仿真,根据仿真结果分析了供应链库存的稳定性和供应链利润。     

基于随机需求的库存仿真研究

对于随机性（Q，S）库存系统，难以用解析方法求解最优的库存控制策略。利用EXCEL软件和VBA模拟仿真过程，实现了对再订货点和订货量的预测。最后的实例仿真结果验证了算法的合理有效性，表明了该方法在实践生产中的应用性。     

基于多级库存的电网运维物资安全库存优化配置研究

针对电力公司运维物资多级库存体系与安全库存配置现状,结合安全库存聚集效应,文章提出了周转库安全库存差异聚集策略。在综合考虑库存持有成本与普通、紧急配送成本的基础上,构建了安全库存优化配置模型。通过两类电网运维物资实际数据的分析,验证了差异聚集策略下成本低于全部聚集以及全部分散策略,可以为电力公司物资集约化、差异化、精益化管理以及仓库定额配置提供依据。     

多级库存策略模拟建模

面向传统供应链结构,即由供应商、制造商、分销商、零售商、顾客市场五部分组成的供应链,研究了中心库存策略供应链管理系统的组成部分,采用了离散系统模拟建模方法对多级库存策略进行模拟建模。文章不只针对一种库存策略或单一目标的模型进行模拟,而是针对多级库存策略,从整体出发,使用BPMN对供应链的各个流程均建立了概念模型,并可以采用Arena进行实现,为建立供应链模型提供了流程化的方法,为企业进行决策提供了有力的帮助与支持。     

基于多级库存管理的电网运维物资库存管控策略研究

针对电网运维物资构建单级库存系统和多级库存系统下的库存水平和库存周转率数学模型,研究多级库存思想在电网运维物资库存管控中的可行性和应用效果.最后,通过实际案例研究显示多级库存能够有效降低运维物资的库存水平,提高库存周转率.     

基于系统动力学的库存控制研究

在市场竞争日益激烈的背景下,库存控制的重要性越来越明显。为了寻找生产企业库存控制的影响因素,文章将以某啤酒市场为例,采用Forrester教授创立的系统动力学的方法,并利用Vensim软件进行模拟仿真。结论表明准确预测市场销售量以及稳定的库存调整时间对于库存控制都有比较大的影响。因此,供应链上下游信息的共享与优化能够促进供应链效率的提升。     

需求确定型多级库存优化模型研究

多级库存管理对于企业来说具有重要的意义,在需求确定的情形下对库存模型进行了分析,建立了基于确定需求的多级库存数学模型,包括一个单目标模型和一个多目标模型,使供应链的效率得到了有效提高。     

Common inventory modeling assumptions that fall short: Arborescent networks, Poisson demand, and single-echelon approximations

Traditional multi-echelon inventory theory focuses on arborescent supply chains that use a central warehouse which replenishes remote warehouses. The remote warehouses serve customers in their respective regions. Common assumptions in the academic literature include use of the Poisson demand process and instantaneous unit-by-unit replenishment. In the practitioner literature, single-echelon approximations are advised for setting safety stock to deal with lead time, demand, and supply variations in these settings. Using data from a U.S. supplier of home improvement products, we find that neither the assumptions from the academic literature nor the approximations from the practitioner literature necessarily work well in practice.In a variation of the strictly arborescent supply chain, the central warehouse at our real company not only replenishes other warehouses but also meets demand from customers in the region near the central warehouse. In this paper, we study this dual-role central warehouse structure, which we believe is common in practice. Using high and low volume product demand data from this company, we use Monte Carlo simulations to study the impact of (1) the use of a dual-role centralized warehouse, (2) common demand assumptions made in multi-echelon research, and (3) single-echelon approximations for managing a multi-echelon supply chain. We explore each of these under both centralized and decentralized control logic. We find that the common assumptions of theoretical models impede their usefulness and that heuristics that ignore the actual supply chain structure fail to account for additional opportunities to utilize safety stock more effectively. Researchers should be aware of the gap between standard assumptions in traditional literature and actual practice, and critically evaluate their assumptions to find a reasonable balance between tractability and relevance.     

库存控制系统中的流分析

文章主要从库存控制系统的分析、设计与实现多个过程分析其中相关流的关系及技术,主要包括物料流、价值流、业务流、服务流、信息流、资金流等。对基于UML的对象流与用于控制的流标签、实现中的基于数据库的数据流等也作了论述。通过分析各个流的关系,设计并实现了高效的具有清晰流的基于物流的库存控制系统。     

基于商品性质的多级分销模式选择及网络库存定位模型的研究

本文以典型的多级分销网络为研究对象,从商品的需求量、需求波动及商品价值等特性对分销网络的服务能力和成本水平的影响出发,对如何根据不同商品特性选择科学的分销模式及如何在多级网络中进行合理的库存定位问题进行了研究,并基于此提出了一个可行的定性分析模型,借助此模型,可帮助企业在设计分销网络和现有网络的优化过程中,根据所经营商品的不同特性进行合理的网络设计和运营,大大提高网络运营效率。     

Application and research on the complex dynamics behaviour under price-discount promotion policy in inventory control system

In this paper, we study the inventory control system of the apparel industry supply chain in which the products are fast-fashion and mass-consuming goods. Retailers tend to promote by price-discount policy to regulate overstock situation caused by fluctuated demand, frequent product upgrading, etc. Here, we discuss the impact of fluctuated demand triggered by price-discount promotion policy on the comprehensive inventory control system in which the final inventory and supply line stock are considered and weighted differently according to corresponding practical operation situations. In this model, stock returns are permissible. Then we calculated the Lyapunov stable region of the decision parameters based on the state space model. These conclusions present the managers a big picture to inspect the inventory control system and serve as reliable references to make correct decisions.     

Managing returnable transport items in a vendor managed inventory system

This paper addresses a closed-loop inventory routing problem with demand uncertainty, which manages the delivery operations to customers and pick-up operations of empty returnable transport items (RTIs) from customers. The problem involves decisions regarding forward and backward vehicle routes, the delivery and collection quantities, the amount of production in terms of the number of filled RTIs, and the number of RTIs produced/ bought by the vendor during the defined planning horizon. The problem considers the holding costs, fixed cost of operating vehicles, fuel consumption cost, producing/buying costs, cleaning costs of RTIs, and loading and unloading costs. We formulate the problem as a mixed integer linear programming model and propose a Relax and Fix based solution approach to solve large instances. We conduct extensive analyses on a case study derived from a fruit and vegetable distribution network and several hypothetical instances. Our analyses investigate the effects of several problem parameter changes (i.e., average collection rate, customer service level, cost of buying crate and handling cost) on the total logistics cost. Additional numerical analyses are performed to demonstrate the usage of the model for evaluating the cost of being more green and environmental-friendly. Moreover, experiments on relatively large-scaled problems allow us to demonstrate the potential benefits of the proposed heuristic     

Design and development of inventory knowledge discovery system

Inventory management (IM) performance is affected by the forecasting accuracy of both demand and supply. In this paper, an inventory knowledge discovery system (IKDS) is designed and developed to forecast and acquire knowledge among variables for demand forecasting. In IKDS, the TREes PArroting Networks (TREPAN) algorithm is used to extract knowledge from trained networks in the form of decision trees which can be used to understand previously unknown relationships between the input variables so as to improve the forecasting performance for IM. The experimental results show that the forecasting accuracy using TREPAN is superior to traditional methods like moving average and autoregressive integrated moving average. In addition, the knowledge extracted from IKDS is represented in a comprehensible way and can be used to facilitate human decision-making.     

基于供应商管理库存的信息系统设计研究

自从"零库存"的概念被丰田汽车公司提出以后,40多年来各生产企业绞尽脑汁考虑如何通过有效的运作与管理将库存降到最低.现在,供应商管理库存(VMI,Vendor Managed Inventory)的模式逐渐被国内企业接受.供应商管理库存,是在供应链管理理念下要求的产物。它要求供应商对下游企业库存策略、订货策略以及配送策略进行计划和管理。所以,采用合理模式运作VMI就成了当前要解决的问题。     

VMI环境下基于需求预测的多点库存控制模型

建立了一个基于需求预测的多点库存控制模型,并提出一个改进的遗传算法来进行求解,结果显示与单点最优库存控制策略相比,该方法有效。     

基于多级库存管理的电网运维物资库存管控策略研究

针对电网运维物资构建单级库存系统和多级库存系统下的库存水平和库存周转率数学模型,研究多级库存思想在电网运维物资库存管控中的可行性和应用效果。最后,通过实际案例研究显示多级库存能够有效降低运维物资的库存水平,提高库存周转率。