CrossRef Open Access 2022

Big Data Analysis for Supply Chain Management in Vehicle Industry

Jiejing Gao

Abstrak

With the rapid development of big data technology applications, the application of big data technology has an increasing impact on the core competitiveness of automotive enterprises. This paper briefly introduces the development history and status quo of big data, introduces the role that big data technology is playing in the automotive industry, analyzes the problems in the automotive sales link and improvement programs that can be made by using big data, puts forward the current automotive aftermarket link optimization strategy, and also puts forward the limitations of current big data technology and the difficulties and pain points of research tasks, while looking forward to the future, affirming the development prospects of big data. In the future, big data technology will become an indispensable part of the automotive industry chain and play an important role in promoting the management optimization of the automotive industry. These results shed light on guiding further exploration of implementation of big data analysis in supply chain management.

Penulis (1)

J

Jiejing Gao

Format Sitasi

Gao, J. (2022). Big Data Analysis for Supply Chain Management in Vehicle Industry. https://doi.org/10.54691/bcpbm.v34i.3158

Akses Cepat

Lihat di Sumber doi.org/10.54691/bcpbm.v34i.3158
Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
CrossRef
DOI
10.54691/bcpbm.v34i.3158
Akses
Open Access ✓