MBW

Use case · An investment

An investment for an existing line, with what each option gives up in plain view.

Every option run on one model of the line as it is, scored on six sections against today, and the answer checked against your priorities and against chance before anyone signs.

Every option's business case rests on its own assumptions. On one model of the line they become comparable, and the question turns to what matters most.

An illustration: four invented options, six sections, and where the lead changes hands

Compare

01

Four options, none better at everything

Four changes, one model, six sections: none is better at everything, and the overall score hides how different the robot cell and the second machine are.

How the ranking is made, on Analysis
Four options against today, and the trades the overall score hides

Weigh

02

Whose priorities: written down, then tested

Three named priorities all pick the robot cell. Once delivery counts a little over twice as much as the rest, the second machine leads instead.

Three people's priorities, each weight tested: the choice turns on delivery

Check

03

How much of the ranking is solid

Each section counts the measures a statistical test can tell apart from noise. A lead backed by six of six is a finding; one backed by none is luck.

Two leads the same way: one backed by every measure, the other only by luck
04

And what it earns back

Declare each option's cost and life, and how many runs make a year. The comparison then shows what each earns back against today, straight from the run.

The declaration and what it reports, on Planning
An illustration: from one run to a year, and a shift counted round the clock

Which options are on your table?

Bring the ones being argued about. We will show you what the model would compare, and where the answer depends on your priorities rather than on the data.

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