PACKAGING TACT, COMPONENT MOUNTER FOR REDUCING POWER CONSUMPTION, AND MACHINE LEARNING DEVICE

PROBLEM TO BE SOLVED: To provide a component mounter which performs component packaging in a shorter required time and with less power consumption in an actual component packaging operation.SOLUTION: The component mounter comprises a machine learning device which performs machine learning while inputting a component position of a component to be packaged, a component specification, a component packaging order, a packaging tact and power consumption. The machine learning device includes: a state observation part for acquiring at least the component packaging order as state data; a reward calculation part for calculating a reward based on the state data; a packaging order change learning part for changing the packaging order of components based on a machine learning result and the state data; and a packaging order output part for outputting the packaging order of components changed by the packaging order change learning part. The packaging order change learning part performs machine learning of the change in the packaging order of components based on the changed packaging order of components, the state data acquired by the state observation part, and the reward calculated by the reward calculation part.SELECTED DRAWING: Figure 4 【課題】実際の部品実装動作において短い所要時間かつ少ない消費電力で部品実装を行う部品マウンタを提供すること。【解決手段】本発明の部品マウンタは、実装する部品の部品位置、部品仕様、部品実装順序、実装タクト、および消費電力を入力として機械学習する機械学習器を備え、機械学習器は、少なくとも部品実装順序を状態データとして取得する状態観測部と、状態データに基づいて報酬を計算する報酬計算部と、機械学習結果および状態データに基づいて部品の実装順序の変更を行う実装順序変更学習部と、実装順序変更学習部が変更した部品の実装順序を出力する実装順序出力部と、を有し、実装順序変更学習部は、変更された部品の前記実装順序と、状態観測部により取得された状態データと、報酬計算部が計算した前記報酬と、に基づいて部品の実装順序の変更を機械学習する。【選択図】図４