Production and operations management for intelligent manufacturing: A systematic literature review
In the context of Industry 4.0, the manufacturing sector is moving from automation towards
intelligence. The application of new generation information and communication …
intelligence. The application of new generation information and communication …
A review of energy-efficient scheduling in intelligent production systems
Recently, many manufacturing enterprises pay closer attention to energy efficiency due to
increasing energy cost and environmental awareness. Energy-efficient scheduling of …
increasing energy cost and environmental awareness. Energy-efficient scheduling of …
A two-stage cooperative evolutionary algorithm with problem-specific knowledge for energy-efficient scheduling of no-wait flow-shop problem
Green scheduling in the manufacturing industry has attracted increasing attention in
academic research and industrial applications with a focus on energy saving. As a typical …
academic research and industrial applications with a focus on energy saving. As a typical …
Energy-efficient scheduling of distributed flow shop with heterogeneous factories: A real-world case from automobile industry in China
Distributed flow shop scheduling of a camshaft machining is an important optimization
problem in the automobile industry. The previous studies on distributed flow shop …
problem in the automobile industry. The previous studies on distributed flow shop …
Multi-agent deep reinforcement learning based demand response for discrete manufacturing systems energy management
With advances in smart grid technologies, demand response has played a major role in
improving the reliability of grids and reduce the cost for customers. Implementing the …
improving the reliability of grids and reduce the cost for customers. Implementing the …
DeepMAG: Deep reinforcement learning with multi-agent graphs for flexible job shop scheduling
The flexible job shop scheduling (FJSS) is important in real-world factories due to the wide
applicability. FJSS schedules the operations of jobs to be executed by specific machines at …
applicability. FJSS schedules the operations of jobs to be executed by specific machines at …
Energy-efficient flexible flow shop scheduling with worker flexibility
G Gong, R Chiong, Q Deng, W Han, L Zhang… - Expert Systems with …, 2020 - Elsevier
The classical flexible flow shop scheduling problem (FFSP) only considers machine
flexibility. Thus far, the relevant literature has not studied FFSPs with worker flexibility, which …
flexibility. Thus far, the relevant literature has not studied FFSPs with worker flexibility, which …
Task scheduling optimization strategy using improved ant colony optimization algorithm in cloud computing
X Wei - Journal of Ambient Intelligence and Humanized …, 2020 - Springer
In order to solve the problems of unbalanced load, slow convergence speed and low
utilization of virtual machine resources existing in the previous task scheduling optimization …
utilization of virtual machine resources existing in the previous task scheduling optimization …
Data-driven real-time price-based demand response for industrial facilities energy management
Recent advances in smart grid technologies have highlighted demand response (DR) as an
important tool to alleviate electricity demand–supply mismatches. In this paper, a real-time …
important tool to alleviate electricity demand–supply mismatches. In this paper, a real-time …
A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts
G Gong, R Chiong, Q Deng, X Gong, W Lin… - Swarm and Evolutionary …, 2022 - Elsevier
Abstract Machine on/off control is an effective way to achieve energy-efficient production
scheduling. Turning off machines and restarting them frequently, however, would incur a …
scheduling. Turning off machines and restarting them frequently, however, would incur a …