Recently, energy conservation in manufacturing industry, particular in energy-intensive
industries, receives much attention in order to meet the environmental protection and …

The occurrence of dynamic events such as machine breakdown during workshop production
can make the original scheduling scheme infeasible. Therefore, this paper establishes a …

This work proposes a new metaheuristic algorithm (ACONEH) for open shop scheduling
problem (OSSP) with makespan minimization. The aim is to improve the exploration …

Nowadays, many manufacturing and service industries prefer to share resources such as
facilities and workers to cooperatively perform tasks, which can efficiently improve resource …

Multi-processor open shop (MPOS) is a combination of the classical open shop and parallel
shop environments. Although there exist wide application areas of this shop environment in …

The open shop scheduling problem involves a set of activities that should be run on a limited
set of machines. The purpose of scheduling open shops problem is to provide a timetable for …

This paper addresses a bi-objective dynamic multiprocessor open shop scheduling problem
in which the simultaneous objectives of minimizing both the mean weighted flow time and …

For the dynamic job shop scheduling problem (DJSP), an improved variant of salp swarm
algorithm (SSA) named self-learning discrete salp swarm algorithm (SLDSSA) is proposed …

The flexible open shop scheduling problem is the combination of two classical open shop
and a parallel machine scheduling problems. Due to the computational complexity of solving …

The disparity in means of production and costs across different regions has prompted
manufacturing companies to develop intelligent distributed production scheduling methods …