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Design of assembly lines is a knowledge intensive process relying significantly on experience and associated with high costs, long lead times and high probability of risks and reworks. This paper presents a methodology to support the early stage design of assembly lines through Knowledge Based Engineering (KBE). In this introductory paper the authors discuss the methodology to implement the KBE approach...
The disparity of Petri net models in the literature for the study of resource allocation problems in Flexible Manufacturing Systems (FMSs) is overwhelming. Paradoxically, those models often strongly overlap in terms of their modeling capability. Such clustering seems to be impelled by a mature knowledge of results which capsize liveness at the topological level of the FMS for families of models which...
The trend of large scale data production is observed not only within web companies, but is entering also other domains including automation domain. Smart sensors and smart devices contribute to growing amounts of data that need to be processed. An example of processing is prediction for better control, clustering for more effective maintenance, or improving the overall production in general. The so...
In mechatronics engineering the execution of experiments and tests is an important activity during development of new products and maintenance of released products. Planning and execution of experiments and tests is an essential cost and time factor. To keep the development time short it is necessary to have well-managed processes in the test department and to plan, organize, source out or execute,...
This paper presents the mid-term outcome of the Generic Evolutionary Control Knowledge-based mOdule (Gecko) research project, i.e., a layered architecture to implement a cooperative model-based control agent for a Reconfigurable Transportation System (RTSs). A manufacturing plant is here conceived as multiple independent modules to implement alternative inbound logistic systems' configurations. To...
The efficient handling of complex production systems and the implementation of more flexible and adaptable production lies at the heart of cyber-physical production systems and its german equivalent Industry 4.0. Such scenarios currently face one main difficulty: the creation, configuration and maintenance of the corresponding automation software is time-consuming and error-prone. Two main solutions...
Recently, robots are making their way towards the small and medium enterprises at a quick pace. This is due to market demand and enabled by reduction in costs of robot systems. If robots can be introduced strategically in existing production workflows, productivity could be increased. However, the task division and interaction between human and robot co-workers need to be optimized in order to achieve...
Condition monitoring and maintenance of devices and equipment is an important aspect of operating a production facility affecting the availability of production systems. Modern production environments can consist of thousands of devices that each need to be monitored so that maintenance can be performed when necessary to sustain a cost-effective state of production. Today operation and maintenance...
Europa has launched multiple initiatives and research projects to remain competitive in a globalized world and keep industry and manufacturing on-shore. Funded by EU and member countries, project ARROWHEAD[1] focuses research and innovation for collaborative automation using interoperable services for smart production, to improve quality, efficiency, flexibility and cost competiveness. This includes...
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