Multiple jobs are processed simultaneously on a given batch processing machine in parallel
batching. The resulting batch is called a p-batch. Batching can lead to reduced production …

Among the different tasks in production logistics, job scheduling is one of the most important
at the operational decision-making level to enable organizations to achieve competiveness …

In recent years, the problem of extensive energy consumption and carbon emission in
manufacturing companies has been highlighted. Efficient scheduling strategies can help …

We consider the problem of minimizing makespan on a single batch processing machine
with a limited capacity. The machine can simultaneously process a group (batch) of jobs …

Dry docks are essential facilities for ship maintenance and thus are critical assets of a
shipyard. In this paper, we study a dry dock scheduling problem that arises from shipyard …

In this article, an improved multi-objective evolutionary algorithm, which is based on
decomposition (IMOEA/D) for multi-objective job shop scheduling problem, is proposed to …

In this paper, we discuss a flexible flow shop scheduling problem with batch processing
machines at each stage and with jobs that have unequal ready times. Scheduling problems …

We study the maintenance task scheduling problem for an aircraft fleet in an uncertain
environment from the viewpoint of robust optimization. Given a daily horizon, the …

Many supply chains suffer from a lack of flexibility, adaptability, and robustness, which
imposes customer dissatisfaction, transportation, backlog, and rework costs on companies …

Sustainable scheduling has become a critical aspect of modern industrial practices,
requiring the integration of economic, environmental, and social dimensions. This research …