备件消耗预测

选取某一备件仓库中一种连续消耗型备件10年的消耗数据作为实验数据集，时间粒度为周粒度，共520条数据。共有四个标签，分别为时间、备件消耗量，保养强度和工作强度

Ten years of consumption data of a continuously consumed spare part from a spare parts warehouse was selected as the experimental dataset. The dataset adopts a weekly time granularity, with a total of 520 data entries, and contains four labels: time, spare part consumption, maintenance intensity and work intensity.

搜集汇总

背景与挑战

背景概述

该数据集名为'备件消耗预测'，包含某备件仓库一种连续消耗型备件长达10年、以周为单位的消耗记录，共计520条数据。数据涵盖时间、消耗量、保养强度和工作强度四个关键维度，具体由一个名为2016.csv的文件提供。