从需求侧研究基于时间的竞争:需求可视法

在描述了构成需求链的需求产生和转移过程的基础上,分析了目前普遍采用的需求链向制造商传递需求的方法的局限性,提出了一类制造商利用来自需求链的与需求有关的信息,在需求链将需求传递给制造商之前,确定顾客需求的方法——需求可视法;提出了需求可视法的需求可视过程及其度量方法,论述了需求可视过程和需求产生转移过程的本质区别;提出了需求可视法的主要内容,包括需求可视信息源、需求可视技术、制造商和需求链成员在信息来源方面的合作机制、需求可视点的优化技术和需求可视辅助技术;论述了需求可视法的多样性特点,依据需求的相关性和自相关性的不同程度,顾客需求可以分为六类,这六类不同需求需要不同的需求可视信息源、不同的需求可视技术、不同的合作机制、不同的需求可视点。     

基于马尔科夫链的双渠道供应链库存优化决策

针对目前双渠道顾客需求不稳定带来的库存控制风险,利用顾客需求转移定性描述顾客需求不稳定,提出基于马尔科夫链的双渠道供应链库存优化模型。考虑双渠道不合作和合作两种情况,应用马尔科夫链方法,分别建立双渠道库存均衡状态概率模型和库存合作转运价格契约模型。通过Matlab算例仿真,分析渠道间顾客转移率对双渠道供应链最优库存策略的影响,得出在两个渠道顾客需求转移时,双渠道供应链合作下的库存策略要优于不合作下的库存策略。     

橡胶材料分子链网络本构模型的研究进展

橡胶材料本构模型大致可以分为两大类:基于应变能函数的唯象模型和基于分子链网络的统计模型.概述了分子链网络本构模型中的几个典型代表及其优缺点,以及近年来发展的几种修正模型.     

基于车身开发的尺寸链设计

针对尺寸链计算中需要解决的几个关键技术,提出了复杂尺寸链系统的计算方法,就尺寸链图、尺寸链方程自动生成、功能方程的计算机求解等问题进行了研究和具体的设计计算。结合实际应用,简要介绍了计算机辅助尺寸链计算软件在车身开发中的使用方法。     

基于供应子链的生产计划与产能核算

供应链生产环境中,供应商的制造资源是制造企业制造资源的组成部分。由供应链部分节点构成的供应子链成为生产计划与产能核算的对象。在分析供应子链产能类型和计算方法的基础上,提出了供应链生产计划与产能核算的流程,介绍了物料供应子链清单、子链产能清单、关键子链产能、子链产能需求清单及产能核算方法等,最后给出了应用实例。     

链篦床结构的优化

本文简单的介绍了链篦机的工作原理,主要针对链篦机中链篦床老结构形式的一系列问题进行了分析,提出了篦板与卡块三面定位等结构优化方案,并简单介绍了篦板与卡块三面定位等结构设计先进性。实践证明,链篦床采用新结构可从根本上解决原固定弯板等结构存在的问题。     

上海世博会期间枢纽内交通信息服务分析

为了给世博游客提供全面、优质的枢纽换乘环境，提高世博出行信息服务质量，根据世博不同客流的出行特征。分析其到达至离开枢纽的整个行为过程链，得到世博客流对各类信息的需求，提出世博会期间不同枢纽为世博客流提供的具体的交通信息服务内容。     

基于区块链的二维码包装广告监管和防伪溯源系统

针对广告监管和假冒伪劣商品识别两个问题,设计一个基于区块链的二维码包装广告监管和防伪溯源系统。介绍了3个关键技术:二维码、区块链和Python Django Web框架;对系统体系框架的顶层用户、中间层系统服务和底层区块链网络的需求进行分析,再依据需求分析设计了3个子系统即二维码子系统、广告监管子系统和防伪溯源子系统,最后利用Django框架,使用Python技术与MySQL,采用B/S架构,开发Web应用系统。本应用系统能对商品生产、流通、推广、销售的全过程进行灵活、细粒度的控制访问,提升了商品与服务的品质。     

窑尾溜槽系统的改进

本文简单介绍了链篦机的应用,针对链篦机溜槽系统的结构系统分析,阐述了窑尾溜槽系统的优化改进。实践证明,采用新型式窑尾溜槽系统可从根本上解决原窑尾密封存在的问题。     

基于Markov链的供应链产品市场预测分析

供应链的组建类型取决于市场需求的变化趋势,在对Markov链的基本思想进行分析的基础上,利用其平稳性和无后效性的基本特征,构建了基于Markov链的市场随机需求预测模型,提出了模型的相关步骤,并指出构建转移矩阵时应注意的问题.实例证明基于Markov链的产品市场预测模型能有效地预测产品未来市场变化趋势.     

A survey of semiconductor supply chain models part I: semiconductor supply chains,strategic network design,and supply chain simulation

Supply chain management issues have become increasingly important to the semiconductor industry over the last two decades due to the global distribution of facilities and increasing numbers of firms specialising in particular stages. This series of three papers reviews the literature on modelling and analysis of the larger semiconductor supply chain. After describing the structure of semiconductor supply chains to provide context for the research efforts, we propose a classification scheme for the relevant literature. The remainder of this paper (Part I) then focuses on Strategic Network Design models for this industry, supply chain coordination through contracting and semiconductor supply chain simulation. Part II discusses Demand Planning, Inventory Management and Capacity Planning, while Part III addresses Master Planning, Production Planning and Demand Fulfilment.     

A survey of semiconductor supply chain models Part II: demand planning,inventory management,and capacity planning

Part I of this three-part series described semiconductor supply chains from the decision-making and functional perspectives, using this as a framework to review the industrial engineering and operations research literature on the problems arising in these supply chains. Part I then reviewed the literature on Strategic Network Design, supply chain coordination, sustainability and simulation-based decision support. This paper, Part II, reviews the areas of Demand Planning, Inventory Management and Capacity Planning in semiconductor supply chains. Part III concludes the series by discussing models to support Master Planning, Production Planning and Demand Fulfilment in this industry.     

Towards optimal configuration of a manufacturer’s supply network with demand flexibility

Demand flexibility exhibits the degree to which customers are often willing to compromise on product features or performance levels for budgetary (reflected in price) or schedule (reflected in delivery) reasons. It is essential for a manufacturer to map demand flexibility into the supply side and investigate its impact on supply network configuration to maximise its total profit. This paper is among the first contributions that seek to address the challenge of optimal configuration of a manufacturer’s supply network that consists of raw material suppliers and contract manufacturers, considering demand flexibility and commonality among different product families. A new mixed integer programming model is developed to describe the characteristics of this problem. The objective was to maximise the manufacturer’s total profit subject to various operating constraints of the supply chain. In view of the complexity and non-deterministic polynomial-time (NP)-hard nature of the problem, a hybrid constraint programming and simulated annealing algorithm is proposed to solve the problem optimally. Extensive numerical studies are conducted to validate the effectiveness of the proposed model and the hybrid algorithm.     

Lateral inventory transshipment problem in online-to-offline supply chain

Online-to-offline (OTO) is a new commercial model with enormous market potential. Online customer orders are forwarded to the offline brick-and-mortar store to fulfil, which is a combination of dual-channel supply chain. OTO overcomes many disadvantages of the traditional dual-channel supply chain, but still faces uncertain market demand. To reduce the inventory risk caused by demand uncertainty, lateral inventory transshipment is employed in this paper to pool inventory risk in OTO supply chain. We model centralised OTO and decentralised OTO with/without transshipment, and then analyse different scenarios. Our results demonstrate that there exists a unique Nash equilibrium of inventory order levels in dual channels and an optimal transshipment price to maximise the profit of the entire supply chain. Finally, we provide a numerical example of uniform demand distribution. Our analyses offer many managerial insights and show that transshipment always benefits the OTO supply chain.     

基于PDM与CRM的逆向供应链产品回收管理

产品回收是逆向供应链的关键环节.论述了逆向供应链中产品回收管理的内涵和特点,从逆向物流、逆向资金流、逆向信息流的角度来分析产品回收管理应当着重考虑的几个问题.从产品价值、逆向营销、客户关系、产品创新方面阐述了产品回收的战略意义,提出了基于PDM的回收产品数据管理和基于CRM的回收产品客户管理模型,给出了在此模型下逆向供应链的产品回收管理的实现方法,实现产品回收与产品研发和产品销售的信息集成.     

供应链管理的研究现状与发展趋势

首先阐述了供应链的概念，分析了供应链管理的含义，接着论述了供应链管理及其关键技术的研究现状，最后展望了供应链管理的发展趋势。     

基于神经网络专家系统的供应商竞争力分析

供应链管理(SCM)是在IT技术广泛应用的基础上产生的一种先进、新颖的管理哲学与方法。在供应链中,合理地分析供应商的竞争力是优化选择具有敏捷性和相容性合作伙伴的关键。本文提出了供应商竞争力的分析指标体系,构建了一个基于人工智能神经网络的专家系统,较好地解决了对供应商竞争力进行分析评估的问题。     

How SMEs can benefit from supply chain partnerships

In recent literature on supply chain partnerships in small and medium-sized enterprises (SMEs), there is controversy regarding the benefits of these partnerships. To resolve this controversy, specific information is needed on the implementation of these partnerships by SMEs; an area, that, thus far, has received little academic attention. In this paper, we examine different business functions (production, marketing and sales, purchasing and logistics, research and development (R&D) and finance) within a supply chain partnership. We collected data for each individual function from 279 high-tech SMEs and examined the relationship between the specific types of partnerships and the overall performance of the SMEs. The results indicate that it is only in the area of R&D that partnerships have a significant positive effect on overall firm performance. The results imply that SMEs primarily can benefit from particular types of supply chain partnerships, i.e. R&D partnerships. The results contribute to the debate in the literature by explaining why many SMEs were found not to benefit from these partnerships. We also provide implications for firms and how SMEs can better utilise supply chain management (SCM).     

基于Petri网的供应链协同需求预测流程模型

提出了一个集成化的供应链协同需求预测模型,该模型包括数据、组织、环境与例外、决策与方法、运作与计划以及协作与调整等6个部分,其特点是将不同成员的意见根据不同的重要性融合到预测中,且突出了多源信息的应用.通过基于有色Petri网对本模型的     

A note on ‘A two-level supply chain with consignment stock agreement and stock-dependent demand’

This note points out that the cost functions within Zanoni and Jaber [Zanoni, S. and M. Y. Jaber. 2015. “A Two-level Supply Chain with Consignment Stock Agreement and Stock-dependent Demand.” International Journal of Production Research 53: 3561–3572] might be incorrect due to misuse of demand representation. By incorporating Braglia and Zavanella’s consignment stock model and relaxing the zero-inventory reordering constraint, Zanoni and Jaber made extensions of the integrated vendor–buyer supply chain with stock-dependent demand in Sajadieh, Thorstenson, and Akbari Jokar’s proposed model. However, Sajadieh, Thorstenson, and Akbari Jokar’s model has different scenarios than Braglia and Zavanella’s model, and these inconsistencies cause false formulation in Zanoni and Jaber’s paper. In this note, we first formulate the justified cost functions and then present characteristics of the corrected model.