Data friction is one of the largest causes of waste in manufacturing, this often leads to wrong decisions. In each of the 8 wastes of lean, poor/lack of access to data contributes in every category. Look at the following examples: ๐ธ ๐ง๐ฟ๐ฎ๐ป๐๐ฝ๐ผ๐ฟ๐: When, where and how much do we transport? ๐ธ ๐๐ป๐๐ฒ๐ป๐๐ผ๐ฟ๐: Do we have enough to fulfil the order? ๐ธ ๐ ๐ผ๐๐ถ๐ผ๐ป: Why do we have to move to the other PC to review losses? ๐ธ ๐ช๐ฎ๐ถ๐๐ถ๐ป๐ด: Todays task list is still not ready? ๐ธ ๐ข๐๐ฒ๐ฟ๐ฝ๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป: What is the target? ๐ธ ๐ข๐๐ฒ๐ฟ-๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด: Has the reaction completed? ๐ธ ๐๐ฒ๐ณ๐ฒ๐ฐ๐๐: How long to the lab results? ๐ธ ๐จ๐ป๐ถ๐๐ถ๐๐ฒ๐ฑ ๐๐ฎ๐น๐ฒ๐ป๐: Why donโt they give us access to the data and let us make the decisions? Do any of these sounds familiar? How many other examples have you experienced? Simplifying access to data has demonstrated success in: โ Eliminating waste โ Increasing engagement from our operators โ Enabling decision making to the shop floor #continuousimprovement #kaizen #innovation #manufacturing #operationalexcellence #lean #data #datafriction #visualmanagement #tiolethumour #engagement
Data friction is one of the largest causes of waste in manufacturing, this often leads to wrong decisions.
In each of the 8 wastes of lean, poor/lack of access to data contributes in every category.
Look at the following examples:
Simplifying access to data has demonstrated success in: