Abstract The Parallel Machine Scheduling Problem (PMSP) has undergone significant
development in academic literature. The most recent comprehensive review of published …

In practical manufacturing systems, the job processing time usually varies with the
performance change of manufacturing resources, among which the learning and …

Production and distribution are two important sectors in a supply chain and their
managements become an essential issue in industrial fields. The integrated operation of …

Multi-agent and deteriorating scheduling has gained an increasing concern from academic
and industrial communities in recent years. This study addresses a two-agent stochastic flow …

In the realm of energy-efficient production scheduling, numerous multi-objective optimization
models and metaheuristic solutions have been proposed. However, there remains a gap in …

This paper concentrates on three scheduling problems with past-sequence-dependent
setup time and DeJong's learning effect in seru production system (SPS), including …

This research presents an optimization problem associated with scheduling of unrelated
parallel machines considering the simultaneous effects of start-time-related deterioration …

This paper dealt with an unrelated parallel machines scheduling problem with past-
sequence-dependent setup times, release dates, deteriorating jobs and learning effects, in …

In this paper, a novel multi-objective multi-skilled resource-constrained project scheduling
problem based on learning effect is presented in which efficiency of the workforce is …

The study considers a parallel machine scheduling (PMS) problem with time-dependent
deterioration and multiple rate-modifying activities (RMAs). The objective of the problem is to …