{"title":"Logistics of smart supply chains","authors":"V. Scherbakov, G. Silkina","doi":"10.2991/icdtli-19.2019.15","DOIUrl":null,"url":null,"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","PeriodicalId":377233,"journal":{"name":"Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the International Conference on Digital Technologies in Logistics and Infrastructure (ICDTLI 2019)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2991/icdtli-19.2019.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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