5 accepted papers
The deterioration phenomenon is common and lasting as machines' service time increases within energy-intensive manufacturing processes such as heat treatment, which may bring about processes time extension or even the breakdown of a machine. It is crucial to collaboratively optimize batch scheduling
Distributed Data Fusion (DDF), as a prevalent technique that empowers scalable, flexible, and robust information fusing, has been employed in various multi-sensor networks operating in uncertain and dynamic environments. This paper proposes a cognition difference-based mechanism to construct a dynam…
Achieving sustainability is currently an important development direction for the manufacturing industry. With the consideration of all pillars of sustainability, valid evaluation of sustainability during scheduling optimization has become an emerging critical issue in the production scheduling loops
With increasing prosumers employed with distributed energy resources (DER), advanced energy management has become increasingly important. To this end, integrating demand-side DER into electricity market is a trend for future smart grids. The double-side auction (DA) market is viewed as a promising p…
Limited energy supply and uncertain equipment state increase the complexity of production process. Peak power and maintenance-based demand response facilitates factories to adjust scheduling strategies to actual production circumstances, so that a rise in energy cost penalty and machine breakdown co