Operational Competitiveness Rating
OCRA (Operational Competitiveness Rating) is a ranking multi-criteria decision-making (MCDM) method introduced by Parkan, C. in 1994. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Key highlights
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
Intuition
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How it works
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When to use it
P_i ≥ 0 (the minimum always equals 0 by construction). Higher P means better overall operational competitiveness. OCRA naturally separates input (cost) and output (benefit) criteria, making it intuitive for production/efficiency evaluation where inputs are resources consumed and outputs are products/services delivered.
Strengths & limitations
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Common pitfalls
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Sources
- 1.Parkan, C. (1994). Operational competitiveness ratings of production units. Managerial and Decision Economics
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Cite this page
ScholarGate. (2026, June 2). OCRA. ScholarGate. https://scholargate.app/decision-making/ocra