Bridge Maintenance Prioritization

The decision problem

Fifteen ageing bridges compete for one maintenance budget and a schedule has to be published. Structural condition argues for one order, traffic volume for another and the cost of the work for a third. No option satisfies everything, so the useful answer is the compromise that keeps the worst individual outcome tolerable, not the one with the best average.

What the decision matrix looks like

The typical shape of a study like this. Your own matrix can be larger or smaller; nothing here is fixed.

Which method, and why

VIKOR is built for exactly that: it balances group utility against individual regret and reports whether the compromise solution is stable. PROMETHEE II runs the same matrix with preference functions, so a small difference in condition rating can be treated as no difference at all instead of a rank change. Entropy sets the weights from the data, so the schedule is not read as chosen by hand.

• EntropyWeightingMethod page
• VIKORRankingMethod page
• PROMETHEE IICross-checkMethod page

What you get out

Run this flow on your own data

Load the matrix, choose the weighting and ranking methods, read the sensitivity.

Other worked examples

• Supply ChainSupplier Selection in Manufacturing
• HealthcareHospital Site Selection
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