In this study, a self-learning discrete Jaya algorithm (SD-Jaya) is proposed to address the
energy-efficient distributed no-idle flow-shop scheduling problem (FSP) in a heterogeneous …

Green manufacturing has attracted increasing attention under the background of carbon
peaking and carbon neutrality. Distributed production has widely existed in various …

This study addresses a distributed assembly permutation flowshop scheduling problem,
which is of great significance in practical manufacturing systems. We aim to sequence …

To meet the multi-cooperation production demand of enterprises, the distributed permutation
flow shop scheduling problem (DPFSP) has become the frontier research in the field of …

Energy-efficient scheduling of distributed production systems has become a common
practice among large companies with the advancement of economic globalization and …

The distributed assembly no-idle flow-shop scheduling problem (DANIFSP) is a novel and
considerable model, which is suitable for the modern supply chains and manufacturing …

The distributed assembly mixed no-idle permutation flowshop scheduling problem
(DAMNIPFSP), a common occurrence in modern industries like integrated circuit production …

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 …

Distributed three-stage assembly scheduling problem extensively exists in the real-life
assembly production process and is seldom considered. The integration of reinforcement …

A reinforcement learning-driven brain storm optimisation idea (RLBSO) is proposed in this
paper to solve multi-objective energy-efficient distributed assembly no-wait flow shop …