With the globalization and sustainable development of the modern manufacturing industry,
distributed manufacturing and scheduling systems that consider environmental effects have …

Distributed flexible job shop scheduling has attracted research interest due to the
development of global manufacturing. However, constraints including crane transportation …

Flexible job shop scheduling problem (FJSP) has attracted research interests as it can
significantly improve the energy, cost, and time efficiency of production. As one type of …

In this study, we propose an efficient optimization algorithm that is a hybrid of the iterated
greedy and simulated annealing algorithms (hereinafter, referred to as IGSA) to solve the …

The flexible job shop scheduling problem (FJSP) is a difficult discrete combinatorial
optimization problem, which has been widely studied due to its theoretical and practical …

Flexible job shop scheduling problem (FJSP) has attracted many research interests, in
particular for meta-heuristic algorithm (MA) developers due to the superior optimization …

Different from the classical job shop scheduling, the dual-resource constrained flexible job-
shop scheduling problem (DRCFJSP) should deal with job sequence, machine assignment …

In many practical manufacturing systems, transportation equipment such as automated
guided vehicles (AGVs) is widely adopted to transfer jobs and realize the collaboration of …

With the global energy shortage, climate anomalies, environmental pollution becoming
increasingly prominent, energy saving scheduling has attracted more and more concern …

With the development of the economy, distributed manufacturing has gradually become the
mainstream production mode. This work aims to solve the energy-efficient distributed flexible …