Practical E-Manufacturing and Supply Chain Management

Practical E-Manufacturing and Supply Chain Management pdf epub mobi txt 电子书 下载 2026

出版者:Butterworth-Heinemann
作者:Greeff, Gerhard/ Ghoshal, Ranjan
出品人:
页数:461
译者:
出版时间:2004-10
价格:$ 82.43
装帧:Pap
isbn号码:9780750662727
丛书系列:
图书标签:
  • E-Manufacturing
  • Supply Chain Management
  • Digital Transformation
  • Industry 4
  • 0
  • Lean Manufacturing
  • Operations Management
  • Logistics
  • Technology
  • Automation
  • Optimization
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具体描述

New technologies are revolutionising the way manufacturing and supply chain management are implemented. These changes are delivering manufacturing firms the competitive advantage of a highly flexible and responsive supply chain and manufacturing system to ensure that they meet the high expectations of their customers, who, in today's economy, demand absolutely the best service, price, delivery time and product quality. To make e-manufacturing and supply chain technologies effective, integration is needed between various, often disparate systems. To understand why this is such an issue, one needs to understand what the different systems or system components do, their objectives, their specific focus areas and how they interact with other systems. It is also required to understand how these systems evolved to their current state, as the concepts used during the early development of systems and technology tend to remain in place throughout the life-cycle of the systems/technology. This book explores various standards, concepts and techniques used over the years to model systems and hierarchies in order to understand where they fit into the organization and supply chain. It looks at the specific system components and the ways in which they can be designed and graphically depicted for easy understanding by both information technology (IT) and non-IT personnel. Without a good implementation philosophy, very few systems add any real benefit to an organization, and for this reason the ways in which systems are implemented and installation projects managed are also explored and recommendations are made as to possible methods that have proven successful in the past. The human factor and how that impacts on system success are also addressed, as is the motivation for system investment and subsequent benefit measurement processes. Finally, the vendor/user supply/demand within the e-manufacturing domain is explored and a method is put forward that enables the reduction of vendor bias during the vendor selection process. The objective of this book is to provide the reader with a good understanding regarding the four critical factors (business/physical processes, systems supporting the processes, company personnel and company/personal performance measures) that influence the success of any e-manufacturing implementation, and the synchronization required between these factors. You can discover how to implement the flexible and responsive supply chain and manufacturing execution systems required for competitive and customer-focused manufacturing. You can build a working knowledge of the latest plant automation, manufacturing execution systems (MES) and supply chain management (SCM) design techniques. You can gain a fuller understanding of the four critical factors (business and physical processes, systems supporting the processes, company personnel, performance measurement) that influence the success of any e-manufacturing implementation, and how to evaluate and optimize all four factors.

智能制造时代的供应链重塑与运营优化:数字化转型下的企业实践 本书聚焦于后工业时代,特别是工业4.0和数字化浪潮席卷全球的背景下,企业如何通过战略性的供应链重塑和运营效率的极致提升,构建面向未来的敏捷、韧性与可持续的制造体系。 在当前充满不确定性的全球市场环境中,传统的线性供应链模式已难以为继。技术进步、地缘政治波动以及消费者需求日益个性化和瞬时化,对企业的制造能力和物流配送提出了前所未有的挑战。本书深度剖析了驱动现代制造业转型的核心技术,并系统阐述了如何将这些技术融入供应链管理的各个环节,实现端到端的价值最大化。 第一部分:数字化驱动的制造前沿与战略视野 本部分首先建立起对当前制造格局的宏观理解,强调了从“效率优先”向“韧性与价值驱动”转型的必要性。 1. 工业互联网与柔性制造的融合: 深入探讨了工业互联网(IIoT)平台如何作为新一代制造基础设施,连接物理世界和数字世界。重点分析了边缘计算、云计算在实时数据采集、处理与决策制定中的关键作用。我们不仅关注设备层面的数据采集,更深入到生产系统层面的互操作性标准与协议,以及如何利用这些数据流构建真正的“数字孪生”(Digital Twin)模型,用于预测性维护、工艺优化和虚拟调试。 2. 增材制造(AM)对传统供应链的颠覆性影响: 本书详细分析了增材制造(3D打印)技术如何从根本上改变物料流、库存管理和产品生命周期。它不再被视为简单的快速原型工具,而是成为实现按需制造、分布式制造和复杂几何零件制造的核心手段。讨论了如何将AM技术集成到现有的MRO(维护、修理和大修)供应链中,以及它对传统物流网络的减量化效应。 3. 绿色制造与循环经济的运营实践: 可持续性已不再是合规要求,而是核心竞争力。本部分系统阐述了如何将循环经济原则嵌入到产品设计、物料采购和报废管理中。内容涵盖了生命周期评估(LCA)工具的应用、逆向物流(Reverse Logistics)系统的设计优化,以及如何利用区块链等技术确保材料的追溯性和可持续采购的透明度。 第二部分:智能供应链的规划、执行与协同优化 第二部分将焦点转向供应链的运作层面,探讨如何利用先进的分析和自动化工具实现端到端的可见性、预测准确性和快速响应能力。 4. 高级需求预测与库存策略的革新: 传统的基于历史数据的预测方法已无法应对需求的“尖峰化”和“碎片化”。本书详细介绍了如何集成机器学习(ML)和深度学习模型,融合外部宏观经济数据、社交媒体情绪和气候模式等非结构化数据,实现更高精度的需求预测。在此基础上,探讨了动态安全库存计算、基于绩效的库存分配(PBA)模型,以及如何利用“库存池化”策略应对多变的市场波动。 5. 数字化采购与供应商关系管理(SRM): 采购职能正在从交易驱动转向战略合作。内容涵盖了数字化寻源(e-Sourcing)平台的实施,如何利用自然语言处理(NLP)分析合同条款和供应商绩效报告。重点阐述了如何建立一套多维度的供应商风险评估框架,将财务稳健性、环境社会治理(ESG)表现和技术能力纳入考量,并利用AI驱动的自动合同管理系统,提升合规性与效率。 6. 仓储与配送的自动化与网络优化: 深入分析了现代智能仓储(Smart Warehousing)的设计原则,包括自动化导引车(AGV/AMR)、自动化存储和检索系统(AS/RS)的投资回报分析。在物流配送层面,本书探讨了“最后一公里”的创新解决方案(如无人机配送的可行性研究),以及如何利用先进的路由优化算法,实时应对交通和容量约束,实现碳排放最小化的配送路径规划。 第三部分:数据驱动的供应链韧性与风险管控 在全球供应链断裂事件频发(如疫情、贸易冲突)的背景下,本书的第三部分专门致力于构建具有弹性、自愈能力的供应链体系。 7. 供应链可视性与实时预警系统构建: 真正的韧性源于信息的可视性。本部分详细描述了如何构建跨企业的供应链数字主干,整合来自物流承运商、供应商一级/二级/三级以及客户的实时数据。重点讨论了“数字孪生供应链”的应用,即在虚拟环境中模拟中断事件(如港口关闭、关键原材料短缺),并测试预先设定的应急预案的有效性。 8. 基于区块链的交易信任与溯源: 探讨了分布式账本技术(DLT)在增强供应链透明度和信任方面的应用潜力。内容不仅限于金融结算,更深入到产品原产地认证、知识产权保护和质量控制的不可篡改记录。分析了如何设计许可链(Permissioned Blockchain)架构,确保敏感商业数据的安全共享,同时满足合规要求。 9. 供应链风险的情景规划与压力测试: 提供了一套系统化的风险管理方法论,超越了传统的“识别-评估-缓解”流程。引入了“黑天鹅”事件的建模技术,以及基于蒙特卡洛模拟的需求和供应波动测试。重点阐述了如何在不显著增加运营成本的前提下,通过构建冗余能力(如多源采购策略、地理分散制造基地)来提升系统的平均恢复时间(MTTR)。 结语:面向未来的供应链领导力 本书最后总结了在智能制造时代,供应链领导者所需具备的新技能组合——即技术素养、跨职能协作能力和对系统性变革的拥抱。它旨在为制造企业的高级管理者、供应链专业人士和运营工程师提供一套实用的、可立即落地的框架,指导他们将前沿技术转化为切实的竞争优势,成功驾驭数字化转型的复杂航道。 本书为读者提供了一个全面、深入、且高度实操性的指南,旨在将传统的线性、反应式供应链,转变为一个高度集成、预测性强、且具有内在韧性的智能生态系统。

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