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 …

We review the literature about shop scheduling problems in manufacturing systems,
revealing the concepts and methodologies that most impact the usage of scheduling theory …

Inspired by a real-world textile packing process, this paper investigates a novel hybrid
flowshop scheduling problem with batch processing machines to minimize the makespan …

Particle swarm optimization (PSO) is a population-based stochastic algorithm modeled on
the social behaviors observed in flocking birds. Over the past quarter century, the particle …

This paper considers the problem of scheduling a group of jobs with arbitrary release times,
non-identical sizes, and different processing times on non-identical parallel batch …

Combination of job scheduling and maintenance activity has been widely investigated in the
literature. We consider a non-identical parallel machines batch processing (BP) problem …

This paper presents an iterated local search (ILS) algorithm for the single machine total
weighted tardiness batch scheduling problem. To our knowledge, this is one of the first …

This paper studies the part-packing and build-scheduling problem in parallel additive
manufacturing. The multi-part grouping, 2D placement, and 3D rotation should be …

The job-shop scheduling problem (JSSP) is encountered in several industries, including the
military where heat treatment is applied prior to the machining process in production. This …

The concept of sustainable development, which strives to protect the environment while
developing economic and industrial sectors, has received widespread attention. This paper …