连锁零售供应链多级库存协同决策研究

针对连锁零售供应链多级库存资源的动态优化配置问题,提出了在上层对库存策略和下层对物流分配方案协同寻优的多级库存双层规划模型。借鉴细粒度模型遗传算法的遗传操作具有局部性的特点,模拟微观群体交互作用的局部性,基于细粒度模型遗传算法的Agent群体行为优化算法和基于复杂适应系统涌现机理的协同决策机制,进行连锁零售供应链多级库存协同决策研究。通过算例实验对模型的有效性进行了验证。仿真实验结果表明,通过连锁零售供应链微观个体Agent的群体行为优化,从系统工程的角度,实现了连锁零售供应链多级库存的动态资源优化配置和信息共享,降低了多级库存管理与运营的总成本。     

考虑门店持有库存的同城整车配送优化模型

研究连锁零售企业配送中心和连锁门店构成的二级库存系统,考虑门店持有库存对配送中心库存的影响,以门店客户服务水平对系统总成本进行约束优化,建立了连锁零售配送中心同城整车配送库存优化模型,并给出了一个具体的的算例。     

基于多智能体的生鲜农产品多级库存成本控制模型

针对生鲜农产品多级库存成本控制问题，运用多智能强化学习思想，从供应链视角抽象出批发商与零售商智能体，引入三参数Weibull函数描述生鲜农产品的损腐特征，使用深度双Q网络算法构建基于多智能体的生鲜农产品多级库存成本控制模型。该模型基于智能体间相互合作，优化订货并控制多级库存成本。实验结果表明，基于多智能体的库存成本控制模型能够在一定程度上减轻供应链多级库存中的牛鞭效应，有效降低各级库存成本，减少生鲜损腐。     

两级系统多周期随机库存路径优化

库存和运输是物流活动的最主要环节,如何同时对二者进行优化,是供应商管理库存必须解决的核心问题。针对一个配送中心为多个零售商实施统一配送的两级系统,以最小化系统计划期平均总费用为目标,分析包括零售商存储费、缺货费,以及配送中心进货费、存储费和配送费的系统全部费用组成,整合库存与配送建立了库存路径问题数学模型。根据零售商需求的随机性和库存路径问题本身的两阶段性,估计零售商库存上下限,选择配送中心订货策略及配送优先原则,借鉴旅行商问题求解思路,设计了求解问题的启发式算法。用Matlab7.0编程实现仿真算例求解表明,整合优化比分别优化节省平均总费用6.2%。     

供应商具备多级生产率的供应链控制策略仿真

研究供应商具有多级生产率的供应链库存成本控制策略问题。在满足客户与销售商随机性订单需求的基础上,以供应链的整体运营成本最低为目标,运用Arena仿真平台对由供应商、销售商、客户构成的多级供应链库存系统进行了建模和仿真优化,制定合理的销售商的库存策略以及供应商的生产库存策略。为具备多级生产率的供应链系统控制策略提供了一种更科学合理的决策方法,对以后的类似研究具有一定的借鉴意义。     

基于多智能体的企业生产运作系统仿真与实现

基于多智能体技术建立1个智能化的企业生产运作仿真平台,在为每个智能体（如库存管理、生产计划、采购管理等）赋予生产运作各种知识的基础上,建立不同的决策模型;通过智能体自身的决策以及多智能体系统（multi—agent system,MAS）的协同合作,仿真企业的生产运作过程。研究该仿真系统中智能体的任务、协作机制,并依此观测企业内的物流、信息流以及资金流等的运行状况,仿真结果表明该系统能更真实地体现企业的实际运作状况。     

自适应控制对多级库存延迟问题的优化研究

针对在随机需求下交货延迟所导致供应链多级库存系统库存积压、缺货和牛鞭效应等问题,建立了基于自适应控制算法的多级库存动态优化模型。通过泰勒展开和拉布拉斯变换建立了基于APIOBPCS策略考虑延迟的动态多级库存控制模型;由Lyapunov渐进稳定性定理设计了一种适用于多级库存的模型参考自适应控制算法,其中以无交货延迟的参考库存模型作为目标,通过调节线性补偿函数和自适应控制率,逐渐缩小实际库存模型与参考库存模型间的输出误差,以此削弱交货延迟对多级库存模型的影响;通过实证数据验证了模型参考自适应控制对一个三级供应链库存系统的动态优化效果。仿真结果表明,自适应控制下的无信息共享多级APIOBPCS库存系统缺货全部归零,牛鞭效应下降40.7%。在不增加企业运营投入的前提下,通过自适应控制算法,优化资源配置,动态削弱了交货延迟对多级库存的影响,提升了供应链运营效率。     

一种考虑相关需求的多级库存控制优化模型

在技术驱动的全球化市场,供应链管理已经成为企业和学者共同面对的重要课题。库存控制问题则是企业供应链管理中一个很重要的环节。该文研究了在供应链管理的环境下,由K个配送中心,每个配送中心由Nk个零售商组成的配送网络的库存控制问题。凭着对实际配送系统的观察和分析,在综合考虑了同一产品在不同零售点需求的相关性,以及同一产品在不同周期需求相关性的情况下,以最小化库存成本和运输成本之和为目标,一定的服务水平为约束,建立了多级库存控制优化模型。     

基于增量控制的一致性问题及其在供应链系统的应用

将增量控制方法应用于多智能体一致性问题。通过将相邻智能体的控制变量作为控制输入来更新每个智能体的状态，可以在一定初始条件下将系统转化为线性一致性问题，并应用于供应链库存系统。而在实际中，由于统计过程复杂，系统很难获得准确的库存水平，因此，利用增量控制输入可实现相应工厂的库存水平一致，从而稳定整个市场供应。最后，通过仿真实验验证了该理论方法的有效性。     

连锁零售企业库存管理系统流程分析与设计

连锁零售业作为一个蓬勃发展的商业模式,降低企业成本、提高工效、减少积压、加快物资周转、杜绝浪费等库存管理系统问题是企业面临的实际问题。分析实际零售企业多模块库存管理系统的各个流程,满足大型连锁企业的实际库存管理需求,突破以往百货店库存无管理或人工管理的局限性,加强信息共享和数据准确性。     

Hybrid genetic algorithm with adaptive local search scheme for solving multistage-based supply chain problems

The optimal design of supply chain (SC) is a difficult task, if it is composed of the complicated multistage structures with component plants, assembly plants, distribution centers, retail stores and so on. It is mainly because that the multistage-based SC with complicated routes may not be solved using conventional optimization methods. In this study, we propose a genetic algorithm (GA) approach with adaptive local search scheme to effectively solve the multistage-based SC problems.The proposed algorithm has an adaptive local search scheme which automatically determines whether local search technique is used in GA loop or not. In numerical example, two multistage-based SC problems are suggested and tested using the proposed algorithm and other competing algorithms. The results obtained show that the proposed algorithm outperforms the other competing algorithms.     

RFID技术在零售企业库存管理系统中的应用分析

连锁零售业作为一个蓬勃发展的商业模式,降低企业成本、提高工效、减少积压、加快物资周转、杜绝浪费等库存管理系统问题是企业面临的实际问题.文章分析了FRID技术在实际零售企业库存管理系统中的实际应用,更好的满足了大型连锁企业的实际库存管理需求,突破了传统模式库存无管理或人工管理的局限性,加强了信息共享和数据准确性.     

基于VMI的零售业库存管理系统设计

在供应链管理背景下,库存管理对于供应链的整体优化起着十分重要的作用。针对零售业库存问题,从供应链管理的角度,使用供应商管理库存策略进行解决,研究了供应商管理库存运作过程,设计并详述了系统各模块及功能,对系统使用到的关键技术包括MVC设计模式、基于角色的控制访问等进行了分析说明。     

Designing fuzzy-genetic learner model based on multi-agent systems in supply chain management

Supply chain requirements and challenges in recent years have made managers to explore new methods in dealing with supply chain management (SCM) problems. Methods with high flexibility which can adapt plans to real conditions help one to make a decision at the right time.In the SCM, distribution and allocation problems are of enormous significance and due to their applications in the cross-functional and final parts of SCM problems, they are in a particular position among the SCM problems.In this paper, by proposing an architecture based up on multi-agent system (MAS), a model is developed to tackle such problems as the nature of supply chain distributions, dynamic distributions systems (DS), uncertain parameters in DS, management of diverse objectives in DS, need for flexibility in DS and other factors considered as challenges and designing requirements in an agile model which can be all found in the SCM. MAS was used in this article owing to their special attributes and features. In MAS, each agent follows up a duty in a self-contained way and is able to adapt it to the environmental changes, after all helping the system to stay alive.     

敏捷制造ERP中的关键优化问题及其数学模型

敏捷制造企业对供应链计划、动态联盟的组成与风险利润分配等多种功能的需要，带来了一系列新的优化问题，研究了对其中的几个相关的优化问题，建立了新产品投入时间计划，动态结盟的伙伴企业挑选、供应链的分肖网络设计，风险防范投资，分布式多工厂生产计划，以及分布式仓库存储控制等问题的数学模型，对模型可能的求解方法进行了探讨，模型与算法已成功应用到开发中的面向敏捷制造的ERP系统中。     

An assessment model for RFID impacts on prevention and visibility of inventory inaccuracy presence

Bullwhip effect has been considered as one of major research topics in supply chain management. Most of the studies disregarded the mismatch between the recorded inventory and the reality. However, it is shown that the inventory inaccuracy under uncertainty is a widespread phenomenon in both retail and distribution centers. Due to the propagation of information distortion along the supply chain, the financial impacts of inventory inaccuracy include not only the cost of direct inventory loss but also the increasing holding and shortage cost at each stage. The emergence of RFID technology offers a possible solution to alleviate the growing cost of inventory inaccuracy. By making full use of RFID technology, this paper attempts to compare the inventory inaccuracy impact on bullwhip effect in terms of order variance amplification and supply chain performance under two scenarios: (1) all members are aware of the inaccuracy and optimize their operations; (2) all members deploy RFID technology to reduce inventory inaccuracy. Informed order policy is used as benchmark to capture the true RFID value and differentiate two types of RFID impacts, prevention and visibility, to provide more manageable insight. In particular, the incentive of sharing information in supply chain is also provided by comparing the cost of two supply chain settings.     

Incorporating lateral transfers of vehicles and inventory into an integrated replenishment and routing plan for a three-echelon supply chain

This paper focuses on developing an integrated replenishment and routing plan that takes into account lateral transfers of both vehicles and inventory for a three-echelon supply chain system including a single plant, multiple distribution centers and multiple retailers. A mixed integer programming model to the overall system is formulated first, and then an optimization-based heuristic consisting of three major components is proposed. The purpose of the first component is to assign retailers to distribution centers, and determine routing schedules for each distribution center. And the remaining two components are corresponding to two smaller optimization models – a variant of the classical transportation problem modeled for determining vehicle transfer between distribution centers, and a variant of the conventional minimum cost network flow problem modeled for determining inventory replenishment and transfer. Experimental results reveal that the proposed algorithm is rather computational effectiveness, and the pooling strategy that considers both vehicles and inventory transfers is a worthy option in designing supply chain operations.