首页|New Machine Learning Study Results Reported from Guangxi University (Optimizing production logistics through advanced machine learning techniques: A study on re source allocation for small-batch and multi-variety challenges)
New Machine Learning Study Results Reported from Guangxi University (Optimizing production logistics through advanced machine learning techniques: A study on re source allocation for small-batch and multi-variety challenges)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on artificial intelligence are presented in a new report. According to news originating from Nanning, Peopl e's Republic of China, by NewsRx correspondents, research stated, 'In light of i ncreasing consumer purchasing power and the growing diversification of demands, the emergence of small-batch and multi-variety requirements has posed substantia l challenges to production manufacturing, particularly in on-site production log istics management.'
Guangxi UniversityNanningPeople's Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
