Logistics of smart supply chains

V. Scherbakov, G. Silkina
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引用次数: 10

Abstract

The initial study principle is the axiom of supply chains as the forms of logistics arrangement in the sphere of commodities and services circulation on the “simple-tocomplex" development basis: direct – advanced – maximum chains of supply – networks of supply chains. In the frame of evolutionary dynamics, the basic concept of Supply Chain Management (SCM) with its fundamental idea on integrated management of logistics business-processes based on processing the on-line information related to material flow is interpreted as the concept of adaptive management of logistical flows under the conditions of chain organization and logistics digitization. The digitalization is understood as a digital logistics transformation, which activates the information processes in supply chain management with arrangement of customeroriented networks of manufacturers, suppliers of goods, logistics service providers, and is considered by an objective prerequisite for the phenomenon of smart supply chains. The developed scientific understanding of smart supply chains and their intellectual functionality when forming the value propositions in effective ways is associated with the modern economic realities of the Industry 4.0 and the prospects for using analytical tools, digital information technologies as the main operational tools of the network logistics infrastructure. There is the description of the precedents and perspectives of using descriptive, diagnostic, predictive, and prescriptive analytics, Big Data technologies, artificial intelligence, the Internet of things, blockchain in solving functional logistics problems created in the world
智能供应链物流
最初的研究原则是在“由简单到复杂”的发展基础上,将供应链作为商品和服务流通领域的物流安排形式的公理:直接-先进-最大供应链-供应链网络。在演化动力学的框架下,供应链管理的基本概念及其以处理与物流相关的在线信息为基础的物流业务流程集成管理的基本思想被解释为链式组织和物流数字化条件下的物流流自适应管理的概念。数字化被理解为一种数字化物流转型,通过安排以客户为导向的制造商、货物供应商、物流服务提供商网络,激活供应链管理中的信息流程,被认为是智能供应链现象的客观前提。在以有效方式形成价值主张时,对智能供应链及其智能功能的科学理解与工业4.0的现代经济现实以及使用分析工具和数字信息技术作为网络物流基础设施的主要操作工具的前景有关。书中描述了使用描述性、诊断性、预测性和规范性分析、大数据技术、人工智能、物联网和区块链来解决世界上产生的功能性物流问题的先例和观点
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