The document discusses continual process improvement and the role of statistical process control (SPC). SPC allows improvements to be applied and measured scientifically, making processes more controlled, repeatable and predictable. It provides examples of using SPC for a cereal packing line and a company struggling to complete a contract due to an unpredictable manufacturing process.

1. Continual Improvement:
We should focus on continual improvement in terms of processes than in terms of product.
To improve a process it is necessary to understand it completely and to identify external factors
causing special causes of variation.
Role of SPC in process improvement:
SPC lets improvements be applied in a controlled environment, measuring results scientifically ,
and with assurance.
Example:
Breakfast cereal packing line.
Predictability of process:
It is difficult to predict about a process that how is it going to respond or work .
To perform efficiently your process should be predictable.
Role of SPC in predictability of process:
SPC ensures you about your capability because now processes are under control, repeatable,
and predictable.
Example:
Company have a contract to manufacture 300 units but it cannot complete it because of its
unpredictable process.