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Multi-objective goal programming/Evidence
Method evidence record

Multi-objective goal programming

Multi-Objective Goal Programming (MOGP) is a mathematical programming technique that simultaneously pursues several aspirational targets by minimizing weighted deviations from each goal. Rooted in Charnes and Cooper's original goal programming framework (1961), MOGP extends it to handle multiple competing objectives, making it indispensable in operations research, supply chain design, resource allocation, and policy analysis where decision-makers must satisfy — or come close to — multiple conflicting requirements at once.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Multi-Objective Goal Programming
Taxonomic method record · process-pipeline / simulation
  • Charnes, A., Cooper, W. W. (1961). Management Models and Industrial Applications of Linear Programming. Wiley, New York. · ISBN 978-0471148258
  • Jones, D., Tamiz, M. (2010). Practical Goal Programming. Springer, New York. · DOI 10.1007/978-1-4419-5771-9
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

See alsoGOAL-PROGRAMMINGmachine-suggested · Relational suggestion, not evidence.See alsoLexicographic Goal Programmingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-objective linear programmingmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-Objective Optimizationmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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