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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.
The identification of the holons is a critical task in the development of holonic manufacturing control system applications.
The reconfigurable manufacturing control system (RMCS) must ensures the system functionalities and the requirements of actual production line, considering the appropriate use of mechatronic and computer-aided technologies.
The aim of this paper is to propose a Potential Fields-based flexible manufacturing control system that can dynamically allocate and route products to production resources to minimize the total production time.
One important challenge during the development of a manufacturing automation system, is to handle the information related to the manufacturing control system (i.e PLC), since it influences almost every part of the manufacturing design and process.
Similar(53)
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.
This paper presents the development - by the IMS Network of Excellence 1 - of a web-based benchmarking service for manufacturing control systems.
This paper surveys the literature in manufacturing control systems using distributed artificial intelligence techniques, namely multi-agent systems and holonic manufacturing systems principles.
The research team applies this design to multi-agent manufacturing control systems and to supply network coordination systems, but its intrinsic applicability is broader.
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