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Research on the Impact Factors of Quality Risk in the Mobile Supply Chain of Intelligent Manufacturing
Conference proceeding   Peer reviewed

Research on the Impact Factors of Quality Risk in the Mobile Supply Chain of Intelligent Manufacturing

Caihong Liu and June Wei
Design, Operation and Evaluation of Mobile Communications First International Conference, MOBILE 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, ... Proceedings, Vol.12216, pp.84-93
Information Systems and Applications, incl. Internet/Web, and HCI
First International Conference, MOBILE 2020, Held as Part of the 22nd HCI International Conference: Design, Operation and Evaluation of Mobile Communications, 1st (Copenhagen, Denmark, 07/19/2020–07/24/2020)
2020
DOI: https://doi.org/10.1007/978-3-030-50350-5_8
Web of Science ID: WOS:001289936900008

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Abstract

Intelligent manufacturing Mobile supply chain Quality risk factors Intelligent Agents or Systems Quality or Product Control
The formation of global market pattern makes the market competition develop from the traditional competition among enterprises to the competition among supply chains. With the transformation of China's manufacturing industry to intelligent manufacturing and the development of supply chain mobile application, the mobile supply chain (SC) facing intelligent manufacturing is endowed with more market elements, technical elements and innovative management elements. Therefore, mobile supply chain operation also faces some new potential quality risk factors. According to the characteristics of dynamic and complex supply chain environment, large loss of quality risk and wide range, this paper puts forward the research topic of mobile supply chain risk factor identification under intelligent manufacturing. Based on the application status of mobile supply chain in China's manufacturing industry, this paper analyzes the quality risk path of mobile supply chain, discusses the measurement factors of supply chain quality risk, and designs the corresponding questionnaire. Then, a questionnaire survey was conducted in Zhejiang Province. SPSS software was used for correlation analysis, cluster analysis and principal component analysis. The evaluation model of supply chain quality risk factors in the "intelligent manufacturing" environment is established. This study can provide theoretical support for manufacturing enterprises to prevent and deal with supply chain quality risk, so as to promote the healthy development of intelligent manufacturing mobile supply chains.

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