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Optimal matching of random parts

JOURNAL OF MATHEMATICAL ECONOMICS (2022)

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Article Operations Research & Management Science

Minimum-error classes for matching parts

Thomas A. Weber

Summary: This paper investigates the binning of two types of parts with random characteristics to find optimal matching classes with minimum deviation to a target value. The balanced optimal matching classes ensure that the maximum error is the same across all classes, allowing for a complete solution to the minimum-error matching-class design problem.

OPERATIONS RESEARCH LETTERS (2021)

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