Open AccessInfluencing Factors and Evaluation Model of Quality Risks in Intelligent Manufacturing Mobile Supply Chain
Author(s) -
Yujie He
Publication year - 2020
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.530621
Subject(s) - supply chain , quality (philosophy) , risk analysis (engineering) , computer science , supply chain risk management , key (lock) , supply chain management , fuzzy logic , backpropagation , identification (biology) , reliability engineering , artificial neural network , engineering , business , service management , computer security , artificial intelligence , marketing , philosophy , epistemology , botany , biology
The intelligent manufacturing (IM) supply chain (SC) involves multiple distributed agents. The mobile supply chain (MSC) technology supports the real-time management of key information resources in the supply chain of IM products. This paper explores the influencing factors and evaluation model of quality risks in IM MSC, trying to make realistic evaluation of the actual quality risks of the enterprise. Firstly, the authors constructed a quality risk identification framework for IM MSC, and a hierarchical evaluation index system (EIS) based on the factors affecting quality risks. Besides, the features and attributes of four dimensions of quality risks were specified, and the corresponding intuitive triangular fuzzy numbers were given. Next, an evaluation model was established for the quality risks of IM MSC based on backpropagation neural network (BPNN). After the evaluation of quality risks, a contract model was designed for the quality risk control in IM MSC. The proposed EIS and models were proved effective through experiments.