A review of reinforcement learning based intelligent optimization for manufacturing scheduling
As the critical component of manufacturing systems, production scheduling aims to optimize
objectives in terms of profit, efficiency, and energy consumption by reasonably determining …
objectives in terms of profit, efficiency, and energy consumption by reasonably determining …
[HTML][HTML] A review of machine learning (ML) and explainable artificial intelligence (XAI) methods in additive manufacturing (3D printing)
Additive Manufacturing (AM)(known as 3D printing) has modernised traditional
manufacturing processes by enabling the layer-by-layer fabrication of complex geometries …
manufacturing processes by enabling the layer-by-layer fabrication of complex geometries …
Variable neighborhood search: The power of change and simplicity
This review discusses and analyses three main contributions championed by Professor
Mladenović. These include variable neighborhood search (VNS), variable formulation space …
Mladenović. These include variable neighborhood search (VNS), variable formulation space …
Online order scheduling of multi 3D printing tasks based on the additive manufacturing cloud platform
Cloud-based additive manufacturing is one of the important forms of cloud manufacturing
service platform, which can match manufacturing resources for multi-task requirements to …
service platform, which can match manufacturing resources for multi-task requirements to …
Review on ensemble meta-heuristics and reinforcement learning for manufacturing scheduling problems
With the development of Artificial Intelligence, Internet of Things and Big Data, intelligent
manufacturing has become a new and popular trend in manufacturing industries …
manufacturing has become a new and popular trend in manufacturing industries …
Sustainable negotiation-based nesting and scheduling in additive manufacturing systems: A case study and multi-objective meta-heuristic algorithms
K Tafakkori, R Tavakkoli-Moghaddam… - Engineering Applications of …, 2022 - Elsevier
This paper proposes a novel integrated framework for nesting (ie, part orientation selection
and two-dimensional packing) and scheduling parts assigned to batches (or jobs) on …
and two-dimensional packing) and scheduling parts assigned to batches (or jobs) on …
A hybrid learning-based meta-heuristic algorithm for scheduling of an additive manufacturing system consisting of parallel SLM machines
M Rohaninejad, R Tavakkoli-Moghaddam… - … Journal of Production …, 2022 - Taylor & Francis
Additive manufacturing (AM) has been recognised as a promising technology under the
context of Industry 4.0, which is reshaping manufacturing paradigms. A prominent type of AM …
context of Industry 4.0, which is reshaping manufacturing paradigms. A prominent type of AM …
A flow based formulation and a reinforcement learning based strategic oscillation for cross-dock door assignment
M Li, JK Hao, Q Wu - European Journal of Operational Research, 2024 - Elsevier
Cross-dock door assignment is a critical warehouse optimization problem in supply chain
management. It involves assigning incoming trucks to inbound doors and outgoing trucks to …
management. It involves assigning incoming trucks to inbound doors and outgoing trucks to …
Scheduling unrelated additive manufacturing machines with practical constraints
In the context of Industry 4.0 and COVID-19 pandemic, additive manufacturing (AM), the
technology of rapid prototyping directly from digital models, has received rapid development …
technology of rapid prototyping directly from digital models, has received rapid development …
An overview on the use of operations research in additive manufacturing
JM Framinan, P Perez-Gonzalez… - Annals of Operations …, 2023 - Springer
Additive Manufacturing (AM) is a disruptive production technology that challenges many well-
established, conventional practices in Operations and Supply Chain Management …
established, conventional practices in Operations and Supply Chain Management …