Learning-based production, maintenance, and quality optimization in smart manufacturing systems: A literature review and trends
With the introduction of manufacturing paradigms, including Industry 4.0, production
research has shifted its focus to enabling intelligent manufacturing systems within industrial …
research has shifted its focus to enabling intelligent manufacturing systems within industrial …
Review evolution of dual-resource-constrained scheduling problems in manufacturing systems: modeling and scheduling methods' trends
Dual-resource-constrained scheduling problems (DRCSP) have been hotly debated during
the last two decades. DRCSPs focus on the causes and consequences of problems arising …
the last two decades. DRCSPs focus on the causes and consequences of problems arising …
Integration of industrial IoT architectures for dynamic scheduling
Technology advancement in smart sensors, cloud computing, and decision support systems
is pressuring the industry to adopt more flexible data-based solutions. One of the areas that …
is pressuring the industry to adopt more flexible data-based solutions. One of the areas that …
A multi-method approach to scheduling and efficiency analysis in dual-resource constrained job shops with processing time uncertainty
F Dunke, S Nickel - Computers & Industrial Engineering, 2022 - Elsevier
In dual-resource constrained job shop scheduling, jobs have to be assigned to workers and
machines. While the problem is notoriously hard in terms of computational complexity …
machines. While the problem is notoriously hard in terms of computational complexity …
Minimizing total completion time in large-sized pharmaceutical quality control scheduling
This paper proposes an algorithm for the effective scheduling of analytical chemistry tests in
the context of quality control for pharmaceutical manufacturing. The problem is formulated as …
the context of quality control for pharmaceutical manufacturing. The problem is formulated as …
Encoder-decoder neural network architecture for solving job shop scheduling problems using reinforcement learning
This paper proposes an Encoder-Decoder neural network architecture with Attention
Mechanism for solving the DRC-FJSSP using Deep Q-Learning. In the DRC-FJSSP the …
Mechanism for solving the DRC-FJSSP using Deep Q-Learning. In the DRC-FJSSP the …
Dual-Resource Constrained Flexible Job Shop Scheduling for SMT Back-End Production and an Empirical Study of Wearable Devices
Increasing needs for smart production of high-mix consumer electronics products with
shortening product life cycles and complex product mix in wearable electronics industry are …
shortening product life cycles and complex product mix in wearable electronics industry are …
Dual Resource Flexible Job Shop Scheduling Problems: The xBTF Algorithm
In this paper, we unveil the xBTF, an innovative advancement to the Biggest Threat First
(BTF) algorithm. In our previous research, the BTF achieved groundbreaking results for …
(BTF) algorithm. In our previous research, the BTF achieved groundbreaking results for …
A Two-Stage Search-Enhanced Evolutionary Algorithm for an Aerospace Component Production Scheduling Problem
Z Chen, F Qiao, D Wang, J Liu - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Aerospace components (ACs) are an important part of the aerospace equipment. Because
of process specialty, AC production scheduling has always been seen a challenging work …
of process specialty, AC production scheduling has always been seen a challenging work …
Optimization of Production: Literature Review
S Habbadi, B Herrou, S Sekkat, H Khadiri - Future of Information and …, 2022 - Springer
The objective of this paper is to present a literature review about research carried out in
recent years on the various approximate production optimization methods applied to the …
recent years on the various approximate production optimization methods applied to the …