Robust Multi-Criteria Material Selection Under Uncertainty

Field

Civil Engineering

Study type

Doctoral quantitative decision-analysis project

Challenge

The research needed one defensible framework that could compare engineering alternatives while accounting for cost, environmental impact, construction risk, and uncertainty rather than producing a single deterministic ranking.

Approach

The analytical workflow combined criteria weighting, alternative ranking, life-cycle dimensions, uncertainty analysis, scenario testing, and robustness checks. The emphasis was on showing why the preferred alternative remained defensible when assumptions changed.

Methods

Best-Worst Method (BWM) · TOPSIS · Life-cycle cost · Life-cycle environmental assessment · Monte Carlo simulation · Sensitivity and scenario analysis

Software / workflow

Python · Excel

Project outcome

A reproducible analytical package and interpretation framework were prepared for the results and discussion stages, including code-ready inputs, robustness checks, and thesis-ready reporting logic.

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