Author(s)

Hailan Ran

Corresponding Author

Hailan Ran

ABSTRACT

In this paper, the Markov Chain is trained using the extended Rough Set of hidden layer information to simplify the basic indicator data, and an improved method based on index training information reduction and Rough Set training is constructed by superimposing different time series. The application results show that supply chain companies mainly rely on their own production and accumulation in production scale to obtain collaborative management performance. The key point of improving supply chain collaborative management performance lies in information sharing.

KEYWORDS

Rough Set, Markov Chain, supply chain