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Accelerated Ramp-Up of Assembly Systems through Self-learning

Abstract : The ramp-up process of assembly systems has a huge impact on both the productivity of those systems and the quality of the output. In this work we present a new technique for accelerating the ramp-up process by automatically capturing knowledge about a machine and subsequently reusing it to inform an engineer performing ramp-up. This technique relies on a novel process called the Knowledge Object Algorithm. The technique is explained and demonstrated using synthetic data, designed to emulate a typical use case of such a system. The future direction for this work is also outlined and further experiments detailed.
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Robert Oates, Daniele Scrimieri, Svetan Ratchev. Accelerated Ramp-Up of Assembly Systems through Self-learning. 6th International Precision Assembly Seminar (IPAS), Feb 2012, Chamonix, France. pp.175-182, ⟨10.1007/978-3-642-28163-1_21⟩. ⟨hal-01363899⟩



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