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By using an existing methodology for manufacturing control to design an agent-based controller for an electricity infrastructure, issues can be identified that have to be addressed in a control methodology specific for infrastructures.
This study focuses on myopic behavior found in manufacturing control.
Nonlinear optimization techniques are now widely used in finance, economics, manufacturing, control, weather modeling, and all branches of engineering.
The strength development of SCC mixed and cured in conditions simulating hot weather was investigated on manufacturing control specimens.
Particularly, these manufacturing control approaches have considerable potential in job shop manufacturing.
For this reason, manufacturing control systems must incorporate mechanisms that support dynamic custom-build responses.
Such approach offers concrete solutions to reconfigurability and evolvability issues of manufacturing control systems.
The paper discusses the development of a multi-agent manufacturing control system for an industrial application.
The paper describes an intelligent manufacturing control system, designed to optimise flat material cutting from visually inspected scenes.
However, research in this field tends to focus on subtasks of manufacturing control without considering the interdependencies.
Research in multi-agent manufacturing control is concerned with issues surrounding the performance of collections of specially tailored interacting agents.
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