Recommendations to Internal Auditors Regarding the Auditing and Attestation of Mathematical Programming Models

Jose Rincón; Greg Akai; Daryl Ono

Recommendations to Internal Auditors Regarding the Auditing and Attestation of Mathematical Programming Models

Jose Rincón, Greg Akai, Daryl Ono

Research output: Contribution to conference › Paper › peer-review

Abstract

Mathematical programming planning models increase operational efficiency and minimize operating costs, but the underlying mathematics generally is complex. Combinatorial optimization is technically sophisticated which requires a strong quantitative background to successfully implement. Most internal auditors will not have the technical training to critically assess the underlying mathematics of mathematical programming planning models, but the internal auditor can still provide insight and attestation which can increase the efficiency of mathematical programming planning models.

Original language	English
State	Published - Jan 1 2024

Access to Document

http://digitalcommons.lmu.edu/librarian_pubs/148

Cite this

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title = "Recommendations to Internal Auditors Regarding the Auditing and Attestation of Mathematical Programming Models",

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