基于非对称信息和VMI模式的供应链协调模型

在假定分销商允许缺货发生和供应商控制库存的前提下,建立了一类供应——分销型供应链在对称信息和非对称信息这两种情况下的生产库存协调模型,给出了相应的最优协调策略,并通过比较对称信息与非对称信息下系统的总费用,揭示了信息对称与否对协调策略及系统总费用的影响.     

考虑合格率的单周期产品供应链决策研究

本文研究由一个供应商和一个经销商组成的关于单周期产品的供应链系统。考虑产品具有随机合格率,并且合格率的分布是供应商的私人信息。在分布函数未知情况下比较研究了供应链三种竞争协调策略:供应商具有合格率私人信息,同时给予经销商价格折扣;供应商告诉经销商合格率分布但是不提供价格折扣;供应商管理经销商库存。比较分析和实例研究说明了三种策略对供应链整体绩效具有明显的优劣和实现帕累托优化的条件。     

随机需求下选址——库存问题

在由多个零售商和多个分销中心组成的供应链网络中，零售商的数量及位置已给定，零售商处的顾客需求是随机的。优化决策是确定分销中心的数量和位置、每个分销中心负责的零售商组、各零售商的订货策略，目标是使系统长期运行下的总成本达到最小。将这种选址——库存问题建模为整数线性规划模型，利用拉格朗日松弛方法和启发式算法分别获得问题的上下界，然后设计求解算法，并通过大量的算例考察算法的有效性。     

基于时间的随机需求二级分销网络物流系统集成优化研究

分销网络设计包括设施选址、库存控制、运输等方面的设计与优化,但以往只是从战略层、战术层、运作层来分别进行各自的研究。实际上,这三个层次的决策要素之间存在着复杂的互动关系,并存在着广泛的效益悖反关系,这些在变化的环境下显得尤为突出。本文充分考虑时间因素的重要性,从物流系统的集成优化高度出发,研究建立需求随机的多分销中心多顾客的设施选址———运输路线安排———库存控制问题(ILRIP)的模型,对此设计了一个两层粒子群优化(PSO)算法,并给出了计算实例。研究结果有助于供应链分销网络的集成优化,缩短商品流转周期,提高顾客服务水平,提升竞争力。     

随机型存贮模型在中小型分销企业中的应用研究

中小型分销企业具有库存信息多 ,流动资金周转快的特点 ,所以企业的存贮问题对它们而言非常重要 .我们的研究主要集中于存贮理论 ,存贮理论是研究库存问题的重要理论 ,它可以帮助我们确定理论上合理的库存量 .最后 ,我们将这种理论应用于一个企业 ,对模型进行了相应的修改 ,修改后的模型很好地适应了企业的实际情况     

随机提前期随机需求条件下的二级库存模型

考虑由一个分销中心和若干零售商组成的两级分销系统 ,假设分销中心和零售商实行连续性盘点、( R,Q) 订货策略 ,分销中心的交货时间是常量 ,而零售商处的提前期为随机变量 ,且需求服从独立的复合泊松过程 .以整个系统平均成本最小为目标函数 ,由此得到最优的订货策略 ,并且给出数值例子及敏感性分析 .     

面向供应恢复时效性的弹性分销网络研究

关于供应链的弹性,供应能力恢复时效性的重要程度丝毫不亚于供应能力的恢复程度。本文研究了面向供应恢复时效性的弹性分销网络设计问题。考虑一个三级分销网络,其中各分销中心互为各自的备用分销中心。当一个分销中心因发生失效事件而不能接受制造商的供货时,制造商通过其他分销中心向失效的分销中心供货。分销中心需要保持一定量的应急库存以满足在应急供应到达之前的顾客需求。针对该问题建立了混合整数规划模型。该模型包含的大M约束使得直接使用优化软件求解需要很长的计算时间,并对计算平台的硬件配置有较高要求。为了更高效地求解该模型,提出了改进的MILP分解算法。通过对比实验,证明了所提算法的效率和有效性。进行了模型的敏感性分析,研究了各项参数对分销网络结构和成本的影响。     

基于EB和TB的混合及双混合随机补货策略

在分销系统中,对库存补货策略进行科学管理与控制是一直是学者们研究的热点之一,学术界始终没有有效提高三个传统库存补货策略运作效率的有效方法.在两个传统补货策略(EB(echelon-based),TB(time-based))策略的基础上,从减少EB和TB策略的极端情况角度,提出了混合策略1(HBl,Hybrid Based Policy1)和混合策略2(HB2,Hybrid Based Policy2),并将HB1和HB2的优点结合起来形成双混合策略(RH,Re-Hybrid Policy).数值试验表明,HB1、HB2对EB、TB的总成本费用比率有不同程度的改善,同时RH能有效改善HB1、HB2的总成本费用比率.     

带有服务员休假的库存系统

研究了带有服务员多重休假、损失销售和(s,S)补货策略的库存系统,其中顾客到达为泊松过程、休假时间及系统前置补货时间都服从指数分布.利用拟生灭过程方法对系统进行稳态分析,给出了带有休假的库存系统的稳态分布、平均库存和平均损失率,并将带有休假库存系统的性能指标与经典无休假库存系统的性能指标做了比较.最后通过数值算例说明服务员休假对库存系统的影响.     

具有两类需求服务的随机库存系统控制策略研究

研究具有两类顾客排队需求服务的随机库存系统.系统采取(s,Q)补货策略且当库存水平下降到安全库存s时,到达的第二类顾客以概率P得到服务.首先,建立库存水平状态转移方程并通过递推算法求解获得库存水平稳态概率分布和系统稳态指标;接下来,构建库存成本函数;最后,采用数值试验的方法研究该库存系统的最优控制策略并考察系统参数的敏感性.     

具过度自信零售商的双渠道供应链网络均衡研究

将零售商的过度自信行为纳入双渠道供应链网络均衡模型,研究了由供应商、分销商以及具过度自信行为的零售商构成双渠道供应链网络均衡问题。借助变分不等式以及互补理论,刻画了制造商、分销商以及过度自信零售商的最优行为,并构建了双渠道供应链网络均衡条件。解析分析了市场出现有利信息和不利信息两种情形下,零售商的过度自信行为对其订购决策的影响。最后,数值算例验证上述结论,并借助数值结果分析了零售商的过度自信行为对双渠道网络均衡的影响。     

A New Procedure for the Distribution of Periodicals

The magazine and newspaper wholesaler or distributor faces the problem of allocating copies of each new issue of each periodical among the retail outlets that sell that particular title. A large distributor will typically distribute over 150 new issues each week, with some issues being sent to more than 1000 retail outlets. This paper describes the development of a new distribution procedure which was undertaken for a major distributor.     

Joint Economic Ordering Policies of Multiple Wholesalers and a Single Manufacturer with Price-dependent Demand Functions

The economic ordering policies for multiple regional wholesalers and the production lot-sizing policy for a single manufacturer have been studied in a joint analysis under the assumption that the yearly demands of each region are functions of their respective retail proces. We obtained optimum EOQs for both linear and constant price elasticity demand functions. Although normally the wholesalers would order in quantities equal to their EOQs, they are encouraged to purchase in different quantities by the producer providing compensation to offset the wholesalers' increased costs. The production lot-size is determined to minimize the overall production cost.     

Channel coordination through a revenue sharing contract in a two-period newsboy problem

This paper studies channel coordination through revenue sharing contract between a single retailer and a single wholesaler in a two-period newsboy problem. Two models are discussed, a single-buying-opportunity model and a two-buying-opportunity model. We discuss how the revenue sharing ratio and the wholesale prices are to be determined in order to achieve channel coordination and a win–win outcome. We find that the wholesale prices are set to be lower than the retail prices and the optimal revenue sharing ratio is linearly increasing in the wholesale prices. The proposed revenue sharing contract has more flexibility than price protection, in that the optimal revenue sharing ratio can be settled reasonably through negotiation between the retailer and wholesaler.     

层次分析法在零售市场饱和度评价中的应用

随着经济的发展,实业界投资零售商业的热情空前高涨.但零售商业要健康发展,有赖于对零售市场饱和度作出准确判断.利用层次分析法建立了一个饱和度评价体系,把定性的问题定量化,为政府部门制定和完善商业规划、为企业投资零售商业领域提供了一种易于操作的解决办法.     

Decentralized Business Strategies in a Multi-Unit Firm

In a multi-unit firm, such as a retail chain or a multi-plant manufacturer, we compare the business strategies developed by unit managers with the strategies that maximize corporate profit. The setting is one in which units face different markets and where learning spillovers between two units are enhanced if their strategies are more similar. When there is a small number of units, we find a tendency for managers' strategies to be excessively tailored to their local market. When the firm has many units, unit strategies can be either excessively or insufficiently standardized.     

Inventory policy for an item with inflation induced purchasing price,selling price and demand with immediate part payment

In this paper, an inventory policy for an item is presented with inflation and selling price dependent demand under deterministic and random planning horizons allowing and not allowing shortages. In addition, there is a provision for (i) an immediate part payment (variable) to the wholesaler, (ii) borrowing some money from money lending source for the immediate part payment, (iii) earning a discount on purchasing price and relaxation on credit period from the wholesaler against the advance payment and (iv) delay in payment for the rest allowed by wholesaler. The payment to the source is made at the end of the business period with some interest charged. Against the above conjectures, inventory models under the finite (crisp) and random planning horizons have been formulated with respect to the retailer’s point of view for maximum profit. The nonlinear optimization method – Generalized Reduced Gradient (GRG) method is used to find the optimal solutions and the corresponding maximum profits for the different sets of given numerical data. Some sensitivity analyses are made and presented graphically. As particular cases, the results of the crisp models and the case without shortages are obtained from those of the stochastic model and the case with shortages respectively.     

The value of competitive information in forecasting FMCG retail product sales and the variable selection problem

Sales forecasting at the UPC level is important for retailers to manage inventory. In this paper, we propose more effective methods to forecast retail UPC sales by incorporating competitive information including prices and promotions. The impact of these competitive marketing activities on the sales of the focal product has been extensively documented. However, competitive information has been surprisingly overlooked by previous studies in forecasting UPC sales, probably because of the problem of too many competitive explanatory variables. That is, each FMCG product category typically contains a large number of UPCs and is consequently associated with a large number of competitive explanatory variables. Under such a circumstance, time series models can easily become over-fitted and thus generate poor forecasting results.     

Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach

Designing a supply chain network (SCN) is an important issue for organizations in competitive markets. In this paper, a novel robust SCN that considers the efficiencies and costs simultaneously is proposed. In order to estimate the efficiency of the producers and distributors, data envelopment analysis (DEA) model is incorporated into SCN. Moreover, to handle the uncertainty in data, a scenario-based robust optimization approach is applied. The proposed model finds out the efficient location of producers and distributors and determines the amount of purchases from each supplier in uncertain conditions. To illustrate the application of the proposed model, a numerical example is solved and results are analyzed.