Abstract
Research findings on Machine Learning - Intelligent Systems are discussed in a new report. According to news originating from Wuhan, People's Republic of China, by NewsRx correspondents, research stated, “The present-day globalized economy and diverse market demands have compelled an increasing number of manufacturing enterprises to move toward the distributed manufacturing pattern and the model of multi-variety and small-lot. Taking these two factors into account, this study investigates an extension of the distributed hybrid flowshop scheduling problem (DHFSP), called the distributed hybrid flowshop scheduling problem with consistent sublots (DHFSP_CS).” Funders for this research include Natural Science Foundation of Shandong Province, National Natural Science Foundation of China (NSFC), Natural Science Foundation of Shandong Province, Guangyue Young Scholar Innova-tion Team of Liaocheng University.
NETL
NSTL
Springer Nature