Open AccessResearch on Evaluation System of Alliance Enterprises in Intelligent Manufacturing Environment Based on BP Neural Network
Author(s) -
Guoqing Xiao,
Yunxia Wang,
Ping Ni,
Di Chen,
Zihao Zhang
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1605/1/012041
Subject(s) - alliance , artificial neural network , selection (genetic algorithm) , competition (biology) , business , computer science , industrial organization , index (typography) , manufacturing , manufacturing engineering , artificial intelligence , marketing , engineering , ecology , world wide web , political science , law , biology
In an intelligent manufacturing environment, fierce global market competition has made more and more companies form industrial alliances to gain an advantage. The basic goal of enterprise alliance is achieving high efficiency and a win-win situation. This paper mainly studies the necessity of partner selection, determines the principle of partner selection, and establishes an evaluation index system for dynamic alliance enterprise cooperation. At the same time, multi-attribute decision analysis and BP neural network are used to identify the ultimate partner. Finally, an example is analyzed with MATLAB to verify its feasibility.