关于ERP信息技术与供应链管理的实施应用

信息化的快速推进给我们的生活和工作带来了巨大的改变,ERP即企业资源计划系统已经被广泛的运用于企业的各个环节。尤其是为供应链管理应用提供了更大的便利,进一步提升了企业管理的效率。在实际运用中,ERP倾向于对企业本身的资源进行全面的管理,在供应链管理中有一定局限。本文通过对ERP信息技术和供应链管理进行分析,浅议ERP信息技术与供应链管理在企业中的具体实施应用。     

基于BAS-BP神经网络的医药供应链协同绩效智能评价

近年来医药供应链协同绩效引起了广泛关注，它能有效应对“两票制”“带量采购”“新药品管理法”等医改新政给医药供应链上的医药流通/销售企业带来的运营成本压力。在分析医改新政下医药供应链新变化的基础上，设计医药供应链实施智能化绩效评价的框架体系。从信息共享协同、业务流程协同、客户服务协同三个方面，构建以医药流通/销售企业为核心的医药供应链协同绩效评价指标体系。运用BAS-BP神经网络进行智能化评价和改进建模。实际算例验证了该模型的有效性及智能化评价体系的可行性。     

基于ERP的企业供应链管理系统研究

通过对ERP系统下的供应链管理的分析与总结,基于此,对供应链管理的各个模块在ERP的对应子系统中的数据传递关系进行设计与模型构建。在文献研究的基础上,通过对具体企业的调研,明确供应链管理的各职能;在ERP与供应链管理协同的视角下,设计出基于ERP的供应链管理的系统框架。结果表明,此次系统设计对ERP在企业供应链管理中的应用具有实践意义。     

石化企业内部供应链业务流程分析及建模仿真

石化企业是典型的流程型企业,是石化供应链的核心企业,其内部业务流程管理对整个石化供应链运作性能具有决定性作用。以某石化公司为研究对象,分析其内部供应链原有业务流程,建立相应的概念模型;为了优化原有企业内部供应链业务流程,引入SCOR建模框架;采用AnyLogic仿真平台,分别建立采用SCOR框架前后企业内部供应链的仿真模型。仿真分析表明,采用SCOR框架改进业务流程,可以有效改善企业内部供应链性能。     

过程企业供应链管理监控系统的研究

结合过程企业的特点 ,采用先进的网络技术和软件开发技术 ,开展了供应链管理监控系统研究 ,提出了适合过程企业的供应链监控系统结构框架 ,并在企业供应链系统网络环境下进行了开发应用研究。     

过程企业供应链管理监控系统的研究

结合过程企业的特点,采用先进的网络技术和软件开发技术,开展了供应链管理监控系统研究,提出了适合过程企业的供应链监控系统结构框架,并在企业供应链系统网络环境下进行了开发应用研究。     

区块链在供应链管理中的应用综述

供应链管理面临诸多挑战：保证产品信息的完整性、真实性和透明度;上下游企业之间的信任管理;企业交互过程中的隐私保护等等。而伴随区块链技术的问世,其为供应链的诸多挑战提供了完美的解决方案,但是依旧存在一些挑战。该文对区块链在供应链管理中的应用进行了系统化的综述分析;论述了当前供应链管理的技术与实施面临的问题,在此基础上分析了传统解决方案的不足以及区块链技术的相关优势。系统阐述了当前区块链主流的应用框架与原理,比较各个技术之间的差异。对不同行业的供应链进行了系统的分析,全面阐述了近年来区块链在不同行业供应链管理中的解决方案,并对不同解决方案的优缺点进行了系统化的分析与比较,重点分析区块链在不同行业的系统中的所发挥的功能与优势,以对区块链在供应链管理中的应用发展提供指南。     

基于CPFR的流通业供应链协同关系模型

最近几年，流通行业对供应链管理的研究和应用受到了广泛的关注，特别是零售企业与供应商之间的网上订货和对账等系统，在给零售企业获得效益的同时，也为供应商带来了便利和效率。但流通行业供应链管理的整体性和协同性往往被忽略，本文从供应链协同的视角，全面分析流通行业供应链管理的模型，以及所涉及的核心内容。     

虚拟企业革新供应链

Internet的发展与广泛的应用,给企业的管理带来了许多新的发展机会,并直接引起了供应链管理的变革。而虚拟企业,这种全新的供应链组织和管理模式带来实现供应链虚拟企业的方法和目的——敏捷供应链管理。实现供应链虚拟企业后能够有效地整合产业链资源,为企业的价值链服务,从而提升企业的竞争力,提高企业的利润水平。Internet时代的供应链管理所谓供应链,是指产品生产和流通中涉及的原材料供应商、生产商、批发商、零售商以及最终消费者组成的供需网络。供应链起源于具有产业关联性及业务合作的企业群体,包括了原材料的采购、生产、库存、…     

基于Internet的数字化管理系统

通过对当今Internet环境下大型制造企业对管理提出的新要求进行分析，从与供应链管理的关系入手，建立了数字化管理系统的组织运行模式以及企业内部为实现数字化管理必不可少的信息集成框架，并探讨了数字化管理的优势以及应用前景。     

Quantitative lifecycle risk analysis of the development of a just-in-time transportation network system

The automotive manufacturing industry is under financial pressure due to massive cost structure, relatively small scale operation and strong global competition. In order to improve their operational cost efficiency, companies have adopt lean principles in all their manufacturing activities, in particular, just-in-time supply chain. However, a consequence of this policy makes the transportation network from the local supply chain time critical. This paper uses an enterprise system model integrated with a quantitative method to study a manufacturing company’s logistics system re-development project. The quantitative risk analysis examines the project’s systems engineering management plan to see if it is sufficiently to mitigate risks in design, monitoring and validation of the project’s lifecycle processes. The computed risk profile shows a trend of decreasing risk and suggests areas of improvement in the systems engineering plan to ensure greater probability of success. The research assumes a single risk profile for the supply chain. Research is continuing in expanding to more accurate risk profile of the project when partners of the supply chain have individual profiles.     

A model of a decision support system based on case-based reasoning for third-party logistics evaluation

The social demands for third‐party logistics (3PL) are further developing the model of supply chain management. The analysis of an effective approach for 3PL service supplier evaluation is given in terms of its direct relation to the operational efficiency and benefit of the service‐demanding enterprise as well as its supply chain management. An analysis of the traditional academic theoretical results and practical methods for 3PL supplier selection indicates the deficiencies of this approach. In this paper, a case‐based reasoning model framework is postulated for a 3PL evaluation and selection system. This work further expands upon the theoretical basis of this system and its reasoning process by discussing the advantages and practical value of this framework.     

A knowledge based reliability engineering approach to manage product safety and recalls

PurposeManaging processed food products’ safety and recall is a challenge for industry and governments. Contaminated food items can create a significant public health hazard with potential for acute and chronic food borne illnesses. This industry study examines the challenges companies face while managing a processed food recall situation and devise a responsive and reliable knowledge management framework for product safety and recall supply chain for the focal global manufacturing and distribution enterprise.MethodDrawing upon the knowledge management and product safety and recall literature and reliability engineering theory, this study uses a holistic single case based approach to develop a knowledge management framework with Failure Mode Effects and Criticality Analysis (FMECA) decision model. This knowledge management decision framework facilitates analysis of the root causes for each potential major recall issue and assesses the reliability of the product safety and recall supply chain system and its critical components.ResultsThe main reasons highlighted for a recall and associated failure modes in a knowledge management framework are to devise appropriate deployment of resources, technology and procedures to recall supply chain. This study underscores specific information described by managers of a global processed food manufacturer and their perspectives about the product safety and recall process, and its complexities. Full scale implementation of product safety and recall supply chain in the proposed knowledge management framework after the current pilot study will be carried out eventually through expert systems. This operational system when fully implemented will capture the essence of decision making environments comprising goals and objectives, courses of action, resources, constraints, technology and procedures.ImplicationsThe study recognizes the significance of communication, integration, failsafe knowledge management process design framework, leveraging technology such as Radio Frequency Identification (RFID) within all levels of supply chain for product traceability and the proactive steps to help companies successfully manage a recall process and also reestablish trust among the consumers. The proposed knowledge management framework can also preempt product recall by acting as an early warning system. A formal knowledge management framework will enable a company’s knowledge be cumulative for product safety and recall and serve as an important integrating and coordinating role for the organization.     

面向行业供应链的企业应用集成研究

供应链信息系统的集成对于提高供应链的管理水平至关重要,也是实施供应链管理系统的一个难题。介绍了EAI的内容和面临的难题,然后结合行业供应链上的企业应用的特点,给出了面向行业供应链的企业应用集成架构参考模型,进一步论述了实现集成架构模型的关键技术。最后,给出了该集成框架下一个具体的应用案例。     

面向行业供应链的企业应用集成研究

供应链信息系统的集成对于提高供应链的管理水平至关重要，也是实施供应链管理系统的一个难题。介绍了EAI的内容和面临的难题，然后结合行业供应链上的企业应用的特点，给出了面向行业供应链的企业应用集成架构参考模型，进一步论述了实现集成架构模型的关键技术。最后，给出了该集成框架下一个具体的应用案例。     

Knowledge management in supply chain: An empirical study from France

Supply chain management has assumed a leading operations strategy position in both manufacturing and service industries, and over the past 10 years companies have seriously implemented supply chain management strategies in their organizations. Knowledge management (KM) is a major enabler of supply chain management, and is a critical element in information intensive and multi-cultured enterprise environments. Realizing the importance of knowledge management in supply chain (SC), an attempt has been made in this paper to propose a conceptual framework for KM in SC and to validate the framework with help of an empirical study conducted with French companies. Finally, a summary of findings and conclusions is presented for KM in SC.     

Risk assessment and management for supply chain networks: A case study

The aim of this study is to show how a timed Petri nets framework can be used to model and analyze a supply chain (SC) network which is subject to various risks. The method is illustrated by an industrial case study. We first investigate the disruption factors of the SC network by a failure mode, effects and criticality analysis (FMECA) technique. We then integrate the risk management procedures into design, planning, and performance evaluation process of supply chain networks through Petri net (PN) based simulation. The developed PN model provides an efficient environment for defining uncertainties in the system and evaluating the added value of the risk mitigation actions. The findings of the case study shows that the system performance can be improved using risk management actions and the overall system costs can be reduced by mitigation scenarios.     

敏捷供应链的生产销售模型

随着全球化市场的形成和信息技术的发展,动 态联盟可以极大地提高成员企业对市场的敏捷响应能力．本文采用精益制造思想,研究供应 链的最小成本生产规划问题,给出了综合考虑产品制造、储存、延期交货和合同取消成本的 单位周期生产规划数学模型．并对敏捷供应链上不同位置的企业采用不同的模型和约束进行 了定性和定量评估．     

基于Agent面向软件重用的敏捷供应链模型

敏捷性和快速响应性是现代企业成功的关键因素，供应链管理正成为现代企业提高竞争力而采取的有效的先进手段，它要求敏捷化的信息系统支持，满足企业快速构造供应链的需要，因此，如何实现供应链系统的软件重用，就具有非常重要的现实意义，提出了将企业的商务逻辑与具体事务处理分开的思想，建立基于agent的敏捷化供应链管理模型，通过对商务逻辑的规则模型和软件代理的活动行为模型建立，利用ECA规则协调多代理系统的活动，从而有效地支持供应链动态建立，过程重组，增强供应链系统信息分布处理，软件可重用和规模可扩展能力。