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research article

Minimum-Error Classes for Matching Parts

Weber, T. A.  
2021
Operations Research Letters

This paper examines the binning of two types of parts with random characteristics, so that a componentwise monotonic evaluation criterion exhibits a minimum deviation to a given target value over all possible realizations. The optimal matching classes are balanced in the sense that the maximum error needs to be the same over all matching classes. This condition allows for a complete solution of the minimum-error matching-class design problem in closed form.

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Type
research article
DOI
10.1016/j.orl.2020.12.003
Author(s)
Weber, T. A.  

EPFL

Date Issued

2021

Published in
Operations Research Letters
Volume

49

Start page

106

End page

112

Subjects

Error minimization

•

matching partitions

•

robust optimization

•

selective assembly

•

stochastic production

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
OES  
Available on Infoscience
December 3, 2020
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/173871
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