The problem of ensuring the quality of products is a very common
practice in many companies and industries. This issue is a
clear example on the management literature regarding how
managers take decisions based on data (see also Lynch,
2008; Parry et al., 2014). The set of statistical tools used to
control and improve the quality of products is known as statistical
quality control (SQC), and which involves various
aspects. For example, control charts are used to monitor the
quality of a process and determinate if this process is in a state
of statistical control (in control), which would indicate that the
production has a normal variation. An additional statistical
tool within SQC is acceptance sampling, which consists in
inspecting lots of products with the purpose of deciding
whether they are accepted or not according to the results
derived from the inspection. SQC also involves the capability
analysis, which is the topic discussed in this paper. The
capability analysis indicates if the process has the ability of
producing acceptable products. An introduction to SQC can
be seen in Montgomery (2009).