基于RCI的海西港口与产业集群协同分析

海峡西岸经济区作为我国区域经济发展的重要组成部分,其港口资源丰富,产业集群活跃.从自然资源优势、生产要素积聚、供应链集成三方面分析港口与产业集群协同的机理,引入Vallega提出的相对集中指数(RCI)探索海西六地区港口功能与产业集群协同程度,结果发现:海西港口与产业集群具有不均衡性的协同关系.据此,笔者提出因地制宜制...     

集群式供应链大规模定制化的计划管理模式

以产业集群为平台的供应链(以下称为集群式供应链)有着基于同一产业的多单链性.多单链性和生产产品的同类性,使得集群式供应链具有进行大规模定制化生产的优势,为了实现这种优势,以时间竞争为出发点,通过中观相结合,分析了集群式供应链供应商、外包商、制造商和分销商的各环节计划管理,将集群式供应链的系统战略计划和各个企业运作计划进行有机整合起来,在此基础上给出了集群式供应链大规模定制化的主生产计划、物料需求计划和生产作业计划的分解机理.     

面向产品的高技术企业集群协同创新系统集成

为了提高集群创新能力和提升集群在全球产业链中的竞争力,运用系统协同思想来分析集群创新实现问题。构建了基于集群产品创新有序集成的集群知识互动价值创造网络系统,及系统创新集成实现的模块化运作模式。实现了企业集群发展所需创新要素的统一,提高了要素间互动的效率,加快创新的进程与步伐,有效解决了集群创新面临的困境。     

基于第三方物流服务提供商的供应链系统集成

分析了目前供应链集成面临的现状,提出基于第三方物流服务提供商的供应链系统集成策略.借助于网络与信息技术,研究了第三方物流服务提供商进入供应链系统的切入方案,以及基于网络协作实现制造商、供应商及分销商集成的方法.     

大型印刷包装企业ERP与供应链系统集成的研究

阐述了大型印刷包装企业的ERP系统与SCM系统的集成方法;ERP系统与SCM系统集成的信息流接口;ERP系统与SCM系统的集成内容:基础数据、库存状态、客户订单、供应计划及预测.详细论述了大型印刷包装企业ERP中的供应链管理的原则以及关键部分,即供应链战术计划和运作计划、供应链计划的逻辑关系以及供应链计划方法等,并列举了供应链计划的实施范例.基于文中系统集成思想和方法,所构建的ERP系统即能满足企业需求又实用.     

产业集群下的供应链Credit期权采购及延迟支付策略

针对在产业集群背景下,供应链网络内中小企业采购方式是一种非传统的、随机延迟支付的信任采购模式.在单供应商—单采购商采购模式的基础上,建立了产业集群下多供应商—多采购商分散式供应链采购模型;在模型中通过对生产周期和供应周期的调整,并引入Credit期权,以保证上下游多供应商—多采购商之间的协调,设计出集群供应链多供应商—多采购商Credit期权联合采购模型,以及相应的基于信任延期支付方式,并提出了利润分配协调机制.最后,通过算例分析了集群供应链Credit期权联合采购模型和基于信任延期支付的有效性,特别是根据双方议价能力分配所得利润,能达到Pareto最优,且模型设计不需要采购商提供任何成本信息.     

基于工作流技术的供应链信息集成研究

通过引入工作流技术，并在研究分析了供应链的工作流特点与供应链信息集成的能力要求基础上，提出了基于工作流技术的供应链信息集成框架．在此集成框架中，工作流技术被应用到所有的供应链成员系统，同时利用了第三方代理，这样就使得供应链成员更有效地进行整体协调工作。     

精敏供应链的综述及展望

系统回顾了供应链策略从精益、敏捷到精敏的发展历程;从降低供应链运作及管理的复杂度考虑,提出子供应链的概念并分析了精益与敏捷子供应链如何串、并行集成为精敏模式及相应的优势;最后展望了进一步的研究方向.     

关于绿色供应链的研究

讨论了绿色供应链与传统供应链的区别，认为绿色供应链是实现绿色制造的必要条件，提出了使绿色供应链高效运行的绿色供应链管理，最后，提出了一种支持绿色供应链的网络化制造集成平台的设想。     

黑龙江省科技厅携手大庆打造国家石油产业基地

<正>11月21日,省科技厅与大庆市政府签订了《厅市科技合作共商议定书》,双方将集成全省和区域优势科加工产业集群和石油石化装备制造业技资源,共同推进高新技术产业开发产业集群建设。     

Modelling of cluster supply network with cascading failure spread and its vulnerability analysis

In this paper, a new entropy approach is developed to study the vulnerability of cluster supply chain network during the cascading failure spread from a holistic point of view. We use the tools of complex network theory and social network analysis to obtain the network representation of cluster supply chain system and explain its cascading phenomenon. Then we build a new cascading model for cluster supply chain network, and further introduce the concept of network load entropy, to analyse and predict the dynamic behaviours of the vulnerability during the process of failure spreading. Using a cluster supply chain network in an industrial district as a case study, we employ the modelling approach to explore its vulnerability. The simulation results demonstrate that the vulnerability of cluster supply chain network with cascading failures can be identified and predicted efficiently by using the modelling approach. In addition, this work may have practical implications for reducing the cluster supply chain network vulnerability in the cascade control and defence, then obtaining its healthy evolution.     

Integration of manufacturing and distribution networks in a global car company – network models and numerical simulation

Global supply chain practices and their effects have received considerable attention over the last two decades. In the recent past, the need for integration across supply chains has been identified as a key for effective and efficient operations of supply chains. This is observed with the increasing trend of collaborative partnerships among supply chain partners. This paper presents an integrated approach for manufacturing and distribution networks within the supply chain system of a global car company. The paper shows that the integration of manufacturing and distribution networks creates the environment for effective planning of many components and execution/follow-up of those plans. These components include materials, resources, operations/activities, suppliers and customers. The main features of the integration include component integration at individual networks via use of a central warehouse. This integration reduces various interfacing steps between partners and enables representations of relationships (component precedence, parent-component and component-component). The proposed integrated model is numerically tested using past data from one of Japan's auto-makers, based in the emerging economy of Thailand. The paper concludes that the integrated supply network eliminates the need for interfacing of individual networks and enables simultaneous planning of many components as well as forward planning of supply components in global supply chain operations. It also shows that the integrated approach is capable of providing visibility, flexibility, and maintainability for further improvement in the supply network environment.     

基于集成化供应链的采购管理研究

从集成化供应链对采购管理的要求出发,论述了采购管理的目标应是着重于发展合作关系,建立有竞争力的供应链体系。为此,建立了以充分的信息交流为基础,以与供应商建立相互信任、利益共享、风险共担的合作伙伴关系和基于长期合作契约的过程控制为手段,以现代物流技术为支持,面向客户订单的采购管理模型,以实现供应链的集成。     

农业高新技术与21世纪涉农供应链的战略性再造

21世纪农业高新技术的发展为涉农供应链提供了战略性再造的契机。它能够营造涉农供应链的高度稳定、促进其柔性机制塑造，提高与时间竞争能力，显著改善一体化涉农物流，并强力支持涉农供应链的基本竞争战略及其高度集成化进程。     

A multi-agent model for the reasoning of uncertainty information in supply chains

In order to simulate the real world effectively, this paper proposes a multi-agent model that integrates a price negotiation support system based on the use of intelligent agents capable of processing information uncertainty. The certainty factor is integrated in expert systems to support the decision of agents. In the model, each agent is integrated with an expert system to deal with the uncertainty information. A real example of supply chains is chosen to show the validity of the proposed multi-agent model. Virtual companies can use the uncertainty information to support decisions. Multiple experiments are conducted to work on the coordination of the supply chain. The selling and purchasing prices in the supply chain are proposed in the experimental results. These prices are similar with the data in a real supply chain and are the optimal price strategy for the supply chain. The model was programmed using Jess and Swarm, which was run on Windows XP. The multi-agent model in the paper is beneficial to the reasoning of uncertainty information in multi-agent systems.     

Integration strategies of two supply chains with complementary products

This paper studies the manufacturer's and retailer's integration strategies in a supply chain with complementary products and examines the effects of downstream, upstream and vertical integrations on supply chain members' decisions and profits and on supply chain performance. The centralised and decentralised decision models are considered as benchmarks that are compared to downstream, upstream and vertically integrated strategies. Our comparison and analysis show that the total profit of the supply chain increases with the number of integrated players and that vertical integration can be more profitable than that of upstream and downstream integrations. However, to our surprise, the upstream and downstream integration strategies do not affect the total profit.     

Arcs of supply chain integration

Integration is posited by many authors as a supply chain utopia. Indeed, it is claimed as being synonymous with supply chain management excellence. The primary aim of this research is to verify the link between supply chain integration and competitive performance. Detailed information collected via an 8-year international field study of 50 products and their associated supply chains subjected to an extensive statistical analysis provides rigorous insight into supply chain integration in practice. The breadth of supply chain integration significantly correlates with increased performance, yet in practice, the majority of supply chains are not well integrated. However, most supply chains seem to follow a popular route when seeking to enable seamless operations. This starts with enhanced internal effectiveness followed by upstream streamlining and then finally downstream integration. If practitioners are still struggling with supply chain integration, this research confirms that they are not unique in their predicament. Indifferent practice is indeed the norm. Fortunately, practitioners can follow the popular route established herein when seeking to improve integrative capability.     

A supply chain model with vendor-managed inventory,consignment, and quality inspection errors

This paper considers the integration between quality control and production inventory control in supply chain management. Specifically, we study the effect of inspection errors on the costs incurred in a supply chain system with a single vendor and multiple buyers. In this system, the vendor enters into a vendor-managed inventory (VMI) and a consignment stock (CS) partnership with several buyers. We assume that the items made by the vendor are not in perfect quality, but they contain a given proportion of defective units. We also assume that quality inspection of these items by the buyers is subject to sampling errors. Three cases indicating to different levels of supply integration are considered: VMI–CS system, traditional system and integrated system. For each case, a mathematical model is formulated, an optimum solution is developed, and a numerical example is solved.     

An integrated decision support system for strategic supply chain optimisation in process industries: the case of a zinc company

We introduce a menu-driven user-friendly decision support system (DSS) for supply chain planning based on optimisation. The DSS is based on a multi-source (supplier), multi-destination (warehouse) network having multiple manufacturing facilities, with multiple materials and multiple storage areas. This integrated supply chain model performs multiple period planning. The use of this DSS requires little knowledge of management sciences tools. We discuss the need for an integrated approach towards supply chain modelling for the process industry. We present the integrated model in the form of a database structure. We validate the model with the real data of a zinc company and demonstrate the impact of optimisation in terms of percentage improvement. The result shows that it is possible to improve unit contribution to profit from 1.89 to 4.66%.