$1.$ Collecting data

A check sheet might be prepared to show defects by day or by worker. The matrix in

Figure $1$ is already a collection of data.

$2.$ Understanding data $(1$ Point$)($Choose one$)$

A histogram might be used to show how defects are distributed by worker or by day.

A Pareto chart might be used to identify defects in descending order by worker or by

day of the week.

A scatter diagram might be used to investigate a possible relationship between days of

the week and the number of defects produced.

$3.$ Understanding processes $(2$ points$)$

A control chart might be used to determine system performance and if expected

performance meets customer requirements. $($Hint: All $30$ productions must appear on the

x$-$axis, with the number of defects on the y$-$axis. They may be plotted either by worker$/$

by day or by day$/$by worker.$)$

$4.$ Analyzing processes $(2$ Points$)($Choose one$)$

A cause and effect diagram might be used to identify causes and root causes of

defective beads. $($Hint: When determining categories, consider the information provided

by the six team members in their report.$)$

A pillar diagram might be used to identify the relationships between suspected causes

and results.

$5.$ Solving problems $(3$ Points$)($Choose two$)$

Force field analysis might be used to identify and understand the forces that affect

quality performance. It might provide a foundation for improvement action.

Brainstorming might be used to identify causes when using process analysis tools or to

identify possible improvement actions.

An affinity diagram might be used to organize and better understand the random

results of brainstorming.

Nominal group technique might be used to gain consensus on priorities of action to

be recommended.

Recommendations should be presented to Beads R Us as a final report, with relevant quality

tools attached for clarification and justification.