GM591 · Unit 4

GM591 Unit 4 weighted scoring model example

Strategic Project Selection and Initiation Purdue University Global Free custom sample in 24 to 48h

The composite cooperative's planning committee fixed its weights in a dated memo before scoring began, and the GM591 Unit 4 weighted scoring model reports what those weights produce. The outage system edges ahead at 79.0, vegetation analytics and meter replacement follow at 77.0 and 75.0, and a dozen weight changes never lift fiber or solar out of the bottom two.

What this page holds

Six criteria, weights dated before scoring, three scorers and twelve sensitivity runs rank five cooperative projects; the GM591 Unit 4 weighted scoring model shows each step. Searches like "gm 591 unit 4 assignment example", "gm591 unit 4 sample" and "gm591 unit 4 example" land here.

What a finished GM591 Unit 4 weighted scoring model looks like

A scoring table and a sensitivity grid carry this five-page model. The criteria and weights appear first, exactly as the committee's memo set them: member reliability 25, financial value 20, strategic alignment 20, delivery risk 15, rate impact 10 and demand on scarce staff 10. Each criterion carries anchored definitions for scores of one, three and five, so that a three on delivery risk means the same thing for every candidate. Three scorers from engineering, member services and finance scored independently, and any spread above one point went to a recorded discussion. The table gives weighted totals on a hundred-point scale: outage system 79.0, vegetation analytics 77.0, meter replacement 75.0, fiber 46.0, solar 45.0. The sensitivity grid moves each weight ten points up and down, twelve runs in all, and records the ranking each time.

How a GM591 Unit 4 example is structured

The model is presented in the order it was built, so the reader can confirm that nothing downstream shaped anything upstream. The memo date and the weights come first, then the scoring anchors, then the scorers' independent sheets and the record of disagreements. Only then do totals appear. The analysis makes two findings. The first is that the top three sit within four points, less than the spread between scorers on several criteria, so the model separates a top tier from a bottom tier and nothing finer. The second concerns scale: a one-to-five financial score compresses meter replacement's 3.58 million NPV and the outage system's 0.60 million into a two-point gap, and the paper shows meter replacement leading once the financial weight reaches 28. A final paragraph reports that fiber would lead only if strategic alignment carried a weight of 70.

Weights from a dated memo

The committee's memo fixed six criteria and their weights before any sheet was filled in. The model reproduces it verbatim, which lets a reader check that no weight moved after the candidates were known.

Anchors for one, three and five

Every criterion has written anchors. A five on member reliability means a measurable reduction in outage minutes across more than half the system; a one means no measurable effect. Scorers worked from these definitions, not from impressions.

Three scorers, disagreements recorded

Engineering, member services and finance scored separately. Spreads above one point, [seven] in all, went to a discussion whose outcome is recorded beside each cell, including [two] cases where the lower score prevailed.

A top tier, not a winner

The outage system, vegetation analytics and meter replacement finish within four points. Given the scorers' spread, the paper treats them as a tier and says plainly that the model cannot order them reliably.

Compression on the money line

Scoring financial value from one to five squeezes a sixfold difference in NPV into two points. The paper shows meter replacement taking first once the financial weight reaches 28, and carries that finding forward to the recommendation.

Where marks go in GM591 Unit 4

Weights that appear only after the scores, or that happen to favor the project their author wanted, cost more than any arithmetic slip in these models. GM591 sections commonly expect the weighting to be documented as prior to scoring, and a paper that cannot show that has a model readers will not trust. Criteria without anchored definitions invite drift between candidates. Overlapping criteria, counting the same benefit twice under different names, draw comment. Instructors tend to credit sensitivity analysis that reports how the ranking behaves, not only that it was run. Reading a two-point margin as decisive, when scorers disagreed by more, overstates what the model can do. Papers that notice what the one-to-five scale hides, especially on financial value, generally reach the top of the analysis row.

Get a GM591 Unit 4 example written to your instructions

Share the candidates, the criteria and weights your prompt fixes or that you would set, and whatever facts inform each score. The Unit 4 prompt and rubric go with them. Free as a first sample, the model is ready inside 24-48h, with anchored definitions for every criterion and a sensitivity grid showing where the ranking holds.

GM591 Unit 4 questions, answered

How should the weights be chosen?

By people with authority over the decision, before candidates are scored, and in writing. Methods range from simple point allocation to pairwise comparison. The method matters less than the timing and the record: a reader needs to see that the weights reflect the organization's priorities rather than the result someone wanted. If the prompt supplies weights, use them and say so.

What is a reasonable sensitivity test?

Move each weight by a meaningful amount, such as ten points, rescale the others and record whether the ranking changes. Report which changes reorder the top candidates and which leave the order intact. A model whose top tier survives every reasonable change supports a stronger recommendation than one that flips with a small adjustment.

Should financial results be a criterion or kept separate?

Either can be defended. Including them lets one model weigh everything, but a one-to-five score compresses large differences in value. Keeping them separate preserves the magnitudes and forces the recommendation to reconcile two views. Many strong papers include a financial criterion and then check the ranking against the discounted figures directly.