共应商集成的途径及关键问题分析

在知识经济时代制造商与供应商集成是一种必然，为此提出利用集成层次选择供应商的途径，并指出集成中的关键问题，同时要求与供应商建立有效的信任体制和信息共享机制，并处理好各种潜在的风险。     

VMI模式下库存与运输集成优化研究

VMI模式下库存与运输的集成优化可以降低物流成本、促进物流运作、提高物流服务质量。以合作博弈的视角,对供应商管理库存模式下库存与运输的集成系统进行优化分析,选取单一商品"一供应商、多客户点"的物流配送系统,构建VMI模式下库存与运输集成化模型,优化补货策略和配送路线等,使物流系统成本最小,并借助算例采用遗传算法编程测算,验证模型的合理性和可行性。     

基于模糊层次分析法的供应链中供应商评价模型

供应链管理(SCM)是指对供应链中的信息流、物流和资金流进行设计、规划和控制,以使这三种流动形态流通顺畅的过程.它是一套通过商业伙伴紧密合作,务求以最低的供应链成本,向消费者提供最大益处的商业策略.SCM以用户需求为动力,以一体化集成管理为手段,体现了集成管理的战略思想,这种一体化集成管理使得SCM中的供应商选择和管理有别于传统观念.……     

基于电子商务的供应链管理集成技术研究

针对传统的供应链管理难以实现企业与合作伙伴间对信息的实时同步共享,不能充分支持和体现供应链管理的战略优势和系统特征的问题,在分析基于电子商务的供应链管理集成模式的基础上,给出以BizTalk为主要开发平台的电子商务供应链管理系统集成的技术架构,使供应链上的节点企业可以真正实现与供应商、经销商和客户的信息共享。     

借力数字化赋能，打好智慧供应链集成服务人才供给“组合拳”

<正>1.智慧供应链集成服务行业人才供给的现状与趋势智慧供应链集成服务，学界尚没有进行深入研究，我们可以理解为以数字技术为支撑的供应链集成服务。2015年2月，物产中大集团首提“流通4.0”，内涵就是以互联网、物联网、大数据、云计算等数字技术为支撑，以消费者驱动为理念，以大型流通企业为核心，以供应链上的供应商、制造商、消费者等利益相关方共建生态圈实现共生共赢为宗旨，以线上线下结合的平台化运营为特征，以卖商品向卖服务转变的流通业发展新阶段，     

企业简讯

正昆船公司自动化物流成套设备首次走出国门近日,昆船公司在与欧洲知名物流装备供应商激烈竞标中胜出,签下印尼盐仓烟草集团原料物流系统项目,实现了昆船自动化物流系统成套设备首次规模化出口。印尼盐仓烟草集团成立于1958年,是印尼最大的烟草公司。该项目是昆船公司首个集成的库架合一自动化物流系统,其仓库全长263米,高36米     

我国汽车供应链状况及相关对策

一、汽车供应链的模式和特点汽车供应链则是最典型的供应链组织结构模式,它具有如下特点:1.以汽车制造企业为供应链的核心企业。汽车制造企业作为供应链的物流调度与管理中心,担负着信息集成与交换的作用,在产品设计、制造、装配等方面具有强大优势。其不但可以拉动上游供应商的原材料供应,也可以推动下游分销商的产品分销及客户服务。     

4PL--第四方物流浅析

在我国，现代物流的观念正在逐渐成型，各种新的观念和理论层出不穷，3PL——第三方物流才刚刚起步，但国际物流行业已提出了4PL——第四方物流概念，4PL可以理解为集成供应商们利用分包商来控制与管理客户的点到点式的供应链运作，欧盟的业内人士把4PL形象地称作“主导物流服务商”。4PL是1998年美国埃森哲咨询公司率先提出并注册的。它将4PL定义为：     

军队物资采购中供应商管理的博弈分析

在招标的方式下,供应商为了获得较大的收益,不诚信的供应商往往选择虚假报价或寻租来竞标.由于军队与供应商之间信息不对称,军队不能了解供应商的全部信息,那么,博弈的结果是诚信的企业被排除而不诚信的企业与军队达成合作协议.     

基于绿色供应链环境下供应商管理研究

绿色供应链中包括多个环节,在众多环节中,如何选择绿色供应链的战略合作伙伴,特别是对供应商的选择显得极为重要。笔者提出了绿色供应链环境下供应商选择的经济、成本、环境和战略性原则,通过建立评价指标体系、实地情况调研以及综合评级选择绿色供应商,并建立了绿色供应链管理下供应商管理机制,阐述了合作方法和生态型供应商绩效管理方法。     

On the use of RFID in the management of reusable containers in closed-loop supply chains under stochastic container return quantities

This paper studies a closed-loop supply chain that uses containers for transporting products from a supplier to a retailer. At the retailer, used containers are collected and returned to the supplier. The supplier inspects returned containers, and either repairs and reuses or disposes them. This paper studies the case where the fraction of containers that are returned to the supplier is stochastic, and where an RFID system can be used to support the tracking of container positions in the supply chain. The use of RFID leads to improved information on the return of containers and better return predictability as well as higher return rates, which we model as an increase in the mean return rate of containers and a reduction in return variance. The paper first develops a mathematical planning model for this scenario, and it then studies how the use of RFID impacts the performance of the system. In addition, it analyzes under which conditions the use of RFID is economical, and in which situations traditional container systems should be preferred.     

基于评价指标聚类分析的铁路供应商选择方法

通过动态供应商选择过程的描述与特征分析,提出一种模糊C均值聚类方法,对铁路供应商选择评价指标进行聚类分析,从而确定其优选集权重指标,进而得到对供应商选择的方法。这一方面可避免多指标集权重确定过程中主观因素的影响;另一方面可提高其适应动态环境的灵活性。最后,通过实例进行验证与分析。     

Multiple sourcing under supplier failure risk and quantity discount: A genetic algorithm approach

This paper investigates an order allocation problem of a manufacturer/buyer among multiple suppliers under the risks of supply disruption. A mixed integer non-linear programming (MINLP) model is developed for order allocation considering different capacity, failure probability and quantity discounts for each supplier. We have shown that the formulated problem is NP-hard in nature and genetic algorithm (GA) approach is used to solve it. The model is illustrated through a numerical study and the result portrays that the cost of supplier has more influence on order quantity allocation rather than supplier’s failure probability.     

供应链中基于VMI库存与运输协调问题的研究

通过对1个供应商、N个零售商组成的供应链形式的协调问题研究,提出了在VMI系统中协调库存与运输的配送策略。这种配送策略假设需求是Poisson随机过程,以更新理论为基础,基于供应商有权持有小额定单,直到定单数量到达一定程度时进行一起派送,即通过规模经济运输,达到降低成本的目的。     

Impact of decision sequence on reliability enhancement with supply disruption risks

This paper considers a supply chain that consists of a manufacturer and a supplier who faces disruption risks. We investigate the impact of decision sequence on the supplier’s endogenous reliability enhancement and the firms’ equilibrium pricing strategies. The supply chain reliability achieves a higher level under the supplier–leader game, but this does not always lead to a higher payoff for the supply chain. Each firm prefers to make the decision first, while any decision sequence can become dominant for the supply chain. We also show that the supply chain can achieve coordination via the revenue sharing contract.     

Coordination with a backup supplier through buy-back contract under supply disruption

This paper studies a buy-back contract between a buyer and a backup supplier when the buyer’s main supplier experiences disruptions. The expected profit functions and the optimal decisions of the contract players are derived through a sequential optimization process. The common properties of the contract as well as the differences under the demand uncertainty and the main supplier’s recurrent supply uncertainty are explored through comparative studies and numerical examples. The study contributes to the literature by providing a better understanding of the impacts of demand and supply uncertainties and by shedding insights on the value of a backup supply.     

Dual sourced supply chains: the discount supplier option

In this paper, we examine the dynamics of a supply chain that has the option of using two suppliers – one reliable, and the other unreliable. We characterize the unreliable supplier with long lead-time mean and variance. Although the use of the unreliable supplier might potentially warrant higher inventory and transportation costs, it is attractive because of the willingness of the supplier to provide a discount on the purchase price. We analyze the cost economics of two suppliers in a broader inventory-logistics framework, one that includes in-transit inventories and transportation costs. In this broader perspective, we provide a simple heuristic and sample exchange curves to determine: (i) if the order should be split between the suppliers; and (ii) if the order is split, the amount of discount and the fraction ordered to the secondary supplier to make order-splitting a worth-while policy. ©     

Diversification strategy with random yield suppliers for a mean–variance risk-sensitive manufacturer

We consider the diversification strategy for a mean–variance risk-sensitive manufacturer with unreliable suppliers. We first analyze the linear model and find that the suppliers are selected according to the descending order of their contributed marginal expected profit, and increasing the manufacturer’s risk-averseness leads to a more even allocation of demand across the suppliers. Then, we study the general newsvendor model. By approximating the leftover inventory with a normal distribution, we establish the general properties of the active supplier set and show that the supplier selection rule is similar to that under the risk-neutral setting when the demand uncertainty is large. Moreover, we conjecture that the selection rule also applies when the demand uncertainty is low, which we verify with an extensive numerical study. Our paper makes two contributions: First, we establish the properties of the optimal diversification strategy and develop corresponding insights into the trade off between cost and reliability under the mean–variance framework. Second, we perform comparative statics on the optimal solution, with a particular emphasis on investigating how changes in the supplier’s cost or reliability affect the risk-averse manufacturer’s ordering decisions and customer service level.     

Sourcing decisions under risks of catastrophic event disruptions

In this paper, a supplier selection problem is studied under risks of supplier failure due to the catastrophic events disruption. An analytical model is developed to determine the optimal number of suppliers considering different failure probability, capacity, and compensation. An algorithm is designed to find the optimal solution and numerical study is carried out to illustrate the model. Results of numerical study and sensitivity analysis provide useful guidelines for managers to select the optimal number of suppliers under the risks of supply disruption.