{"title":"Agility Measurement of Agile Supply Chain Network Based on Complex Network Theory","authors":"Yunxia Yao, Lin Li","doi":"10.1109/ICICAS48597.2019.00163","DOIUrl":null,"url":null,"abstract":"With the development of information technology, the supply chain has developed into a new stage of intelligent supply chain which is deeply integrated with the Internet and the Internet of Objects. In order to give full play to the characteristics of innovation, collaboration, win-win, openness and greenness in supply chain, and to build a smart supply chain system with big data support, network sharing and intelligent collaboration, the agility measurement of supply chain has become an urgent and important topic. This paper presents an agile metric based on complex network theory for agile supply chain network. Firstly, the mathematical expression of agile supply chain network and its agility measurement method are defined, and the constraints of complex network theory are also defined. Secondly, to facilitate the calculation of agility metrics, complex network theory is introduced into agile supply chain network. In addition, a large number of experiments have been designed and implemented to verify the accuracy of the proposed complex network theory in agile supply chain network measurement. At the same time, the agility of the supply chain network is measured, and its changing rules and optimization methods are summarized. The experimental results show that the proposed complex network theory can accurately measure the agility of agile supply chain network. The purpose of this paper is to provide a method to turn agile supply chain system into intelligent information system through mathematical modeling.","PeriodicalId":409693,"journal":{"name":"2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Intelligent Computing, Automation and Systems (ICICAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICICAS48597.2019.00163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
With the development of information technology, the supply chain has developed into a new stage of intelligent supply chain which is deeply integrated with the Internet and the Internet of Objects. In order to give full play to the characteristics of innovation, collaboration, win-win, openness and greenness in supply chain, and to build a smart supply chain system with big data support, network sharing and intelligent collaboration, the agility measurement of supply chain has become an urgent and important topic. This paper presents an agile metric based on complex network theory for agile supply chain network. Firstly, the mathematical expression of agile supply chain network and its agility measurement method are defined, and the constraints of complex network theory are also defined. Secondly, to facilitate the calculation of agility metrics, complex network theory is introduced into agile supply chain network. In addition, a large number of experiments have been designed and implemented to verify the accuracy of the proposed complex network theory in agile supply chain network measurement. At the same time, the agility of the supply chain network is measured, and its changing rules and optimization methods are summarized. The experimental results show that the proposed complex network theory can accurately measure the agility of agile supply chain network. The purpose of this paper is to provide a method to turn agile supply chain system into intelligent information system through mathematical modeling.