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A hybrid genetic algorithm with multiple decoding methods for energy-aware remanufacturing system scheduling problem
Remanufacturing system scheduling is an essential and effective approach to realize the
digitization and greening of the remanufacturing industry. However, previous researches on …
digitization and greening of the remanufacturing industry. However, previous researches on …
An ensemble method of the machine learning to prognosticate the gastric cancer
Gastric Cancer is the most common malignancy of the digestive tract, which is the third
leading cause of cancer-related mortality worldwide. The early prognosis methods …
leading cause of cancer-related mortality worldwide. The early prognosis methods …
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
Z Wang, W Liao - Journal of Intelligent Manufacturing, 2024 - Springer
In the era of Industry 4.0, production scheduling as a critical part of manufacturing system
should be smarter. Smart scheduling agent is required to be real-time autonomous and …
should be smarter. Smart scheduling agent is required to be real-time autonomous and …
Energy-efficient flexible job shop scheduling problem considering discrete operation sequence flexibility
G Gong, J Tang, D Huang, Q Luo, K Zhu… - Swarm and Evolutionary …, 2024 - Elsevier
The classical flexible job shop scheduling problem (FJSP) normally assumes that operations
of each job have strict sequence constraints, ie, each operation can be processed only after …
of each job have strict sequence constraints, ie, each operation can be processed only after …
An efficient two-stage optimization algorithm for a flexible job shop scheduling problem with worker shift arrangement
H Li, J Peng, X Wang - Computers & Operations Research, 2024 - Elsevier
Due to the involvement of workers, scheduling production jobs necessitates consideration of
worker shifts in most production activities. In this study, we address a flexible job shop …
worker shifts in most production activities. In this study, we address a flexible job shop …
Joint multi-objective dynamic scheduling of machine tools and vehicles in a workshop based on digital twin
M Guo, X Fang, Q Wu, S Zhang, Q Li - Journal of Manufacturing Systems, 2023 - Elsevier
Dynamic job-shop scheduling is vital for improving job-shop efficiency and reducing energy
consumption. A workshop is a complex combination of multiple functions. Previous studies …
consumption. A workshop is a complex combination of multiple functions. Previous studies …
[HTML][HTML] A hybrid simheuristic algorithm for solving bi-objective stochastic flexible job shop scheduling problems
The flexible job shop scheduling problem (FJSSP) is a complex optimization challenge that
plays a crucial role in enhancing productivity and efficiency in modern manufacturing …
plays a crucial role in enhancing productivity and efficiency in modern manufacturing …
Supply chain integrated resource-constrained multi-project scheduling problem
Over the last few decades, supply chain integrated project scheduling problems have
received greater attention to ensure profitability in organizations. Supply chain integrated …
received greater attention to ensure profitability in organizations. Supply chain integrated …
Quality-centered production and maintenance scheduling for multi-machine manufacturing systems under variable operating conditions
Production, maintenance, and quality represent the three primary tasks in manufacturing
systems. Previous studies have predominantly focused on optimizing these tasks separately …
systems. Previous studies have predominantly focused on optimizing these tasks separately …
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 …