Human–robot collaborative scheduling has been widely applied in modern manufacturing
industry. A rational scheduling of human–robot cooperation plays an important role in …

Scheduling problems should not only focus on minimizing completion time, but other
performances, such as minimizing energy consumption, are urgent to investigate. Many …

With the guidance of the advanced manufacturing philosophy, green scheduling and energy
efficiency have received considerable attention from enterprises and countries. Meanwhile …

With the recent emphasis on new energy sources, solar photovoltaic cells have received
widespread attention from scholars as a highly efficient and clean new energy source …

This study attempts to solve the distributed hybrid flowshop scheduling problem (DHFSP)
with the makespan criterion. First, a mixed-integer linear programming model for the DHFSP …

Abstract Applying Deep Learning (DL) in radiological images (ie, chest X-rays) is emerging
because of the necessity of having accurate and fast COVID-19 detectors. Deep …

The distributed flow shop group scheduling problem (DFGSP) has wide industrial
applications. Due to the strong coupling of DFGSP, three issues should be solved, such as …

With the increase in production levels, a pattern of industrial production has shifted from a
single factory to multiple factories, resulting in a distributed production model. The …

Most previous studies on the scheduling problem in remanufacturing systems have focused
on single or two production stages and economic criteria such as makespan or tardiness …

With the penetration of decentralization into factories, the production scheduling among non-
identical factories has emerged as a hot issue for industrial demand response. However …