Nesting and scheduling optimization of additive manufacturing systems: Mapping the territory

M Pinto, C Silva, M Thürer, S Moniz - Computers & Operations Research, 2024 - Elsevier
Abstract The application of Additive Manufacturing (AM) within industrial settings brings new
challenges to operational research. This paper provides in-depth analyses of nesting and …

A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups

F Li, S Lang, Y Tian, B Hong, B Rolf… - Journal of Intelligent …, 2024 - Springer
The parallel machine scheduling problem (PMSP) involves the optimized assignment of a
set of jobs to a collection of parallel machines, which is a proper formulation for the modern …

A Multi-Objective Hybrid Algorithm for the Casting Scheduling Problem with Unrelated Batch Processing Machine

W Zhang, H Tang, W Wang, M Zhuang… - Complex System …, 2024 - ieeexplore.ieee.org
The casting production process typically involves single jobs and small batches, with
multiple constraints in the molding and smelting operations. To address the discrete …

A multi-objective dynamical artificial bee colony for energy-efficient fuzzy hybrid flow shop scheduling with batch processing machines

J Wang, D Lei, H Tang - Expert Systems with Applications, 2025 - Elsevier
Energy-efficient hybrid flow shop scheduling problem (EHFSP) with batch processing
machines (BPMs) is rarely considered, let alone EHFSP with BPMs and uncertainty. In this …

[HTML][HTML] Optimal decomposition approach for solving large nesting and scheduling problems of additive manufacturing systems

PJ Nascimento, C Silva, CH Antunes… - European Journal of …, 2024 - Elsevier
This paper addresses the challenges associated with nesting and production scheduling in
additive manufacturing (AM). The problem studied consists of grouping a set of parts into …

Batch processing machine scheduling problems using a self-adaptive approach based on dynamic programming

Y Chen, X Zhao, J Mumtaz, C Guangyuan… - Computers & Operations …, 2025 - Elsevier
With the increasing trend of smart electronic devices, interlinked industries face various
challenges in meeting market demand. The demand for customized small-batch and multi …

A dynamical teaching-learning-based optimization algorithm for fuzzy energy-efficient parallel batch processing machines scheduling in fabric dyeing process

J Wang, D Li, H Tang, X Li, D Lei - Applied Soft Computing, 2024 - Elsevier
Fabric dyeing is the most time-consuming and energy-intensive process in textile production
with some batch processing machines (BPMs) and uncertainty. In this study, a fuzzy energy …

The product–mold–machine manufacturing problem: Complexity, MILP models and constructive heuristics

N Troncoso, H Cancela, P Piñeyro, F Quezada… - Computers & Industrial …, 2024 - Elsevier
This study addresses the product–mold–machine manufacturing problem, a problem
intrinsic to the fabrication processes in industries such as tires, plastics, ceramics, and glass …

Adaptive Knowledge-based Multi-Objective Evolutionary Algorithm for Hybrid Flow Shop Scheduling Problems with Multiple Parallel Batch Processing Stages

F Liu, X Li, C Lu, W Gong - arXiv preprint arXiv:2409.18524, 2024 - arxiv.org
Parallel batch processing machines have extensive applications in the semiconductor
manufacturing process. However, the problem models in previous studies regard parallel …

Planificación de la producción en fabricación aditiva: contribuciones a la formalización del problema y dinamización del mercado mediante subastas combinatorias

J Antón Heredero - 2024 - uvadoc.uva.es
La fabricación aditiva se ha convertido en la principal técnica facilitadora de un cambio en
el paradigma de producción hacia la fabricación en masa de productos personalizados. El …