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

In this article, we propose a hybrid artificial bee colony (ABC) algorithm to solve a parallel
batching distributed flow-shop problem (DFSP) with deteriorating jobs. In the considered …

Production scheduling is a crucial task in modern steel plants. The scheduling of a wire rod
and bar rolling process is challenging in many steel plants, which has a direct impact on …

We study a coordinated serial-batching scheduling problem that features deteriorating jobs,
financial budget, resource constraints, resource-dependent processing times, setup times …

This paper introduces the serial batching scheduling problems with position-based learning
effect, where the actual job processing time is a function of its position. Two scheduling …

Batch scheduling problem is a common difficulty in mass production, which includes many
decisions such as grouping, batch ordering, and resource allocation. Motivated by the …

In this paper, the single-machine scheduling problems with deteriorating effects and a
machine maintenance are studied. In this circumstance, the deterioration rates of the jobs …

We study robust single-machine batch scheduling problems under uncertain processing
times to minimize total flow time. Two types of batches are considered: serial batch (s-batch) …

In this paper, we investigate a specialized two-stage hybrid flow shop scheduling problem
with parallel batching machines considering a job-dependent deteriorating effect and non …

In order to improve the forecasting accuracy of atmospheric pollutant concentration, a
prediction model of atmospheric PM 2.5 and nitrogen dioxide (NO 2) concentration based on …