Determining the production lot size for precision components

Brian J. Melloy, John I. McCool, Matthew Rosenshine

Research output: Contribution to journalArticle

Abstract

Manufacturers may periodically need to produce a specified number of precision parts whose dimensional tolerance is much narrower than the normal process range. Consequently, these parts can only be found through screening, which requires that an original batch size be determined, subject to an acceptable level of success. Several solution approaches are investigated, including exact analytic, approximate analytic, and Monte Carlo simulation methods. Subsequent to the evaluation of these procedures, numerical examples are performed in order to explore both the relationships which may exist among the parameters and the sensitivity of the results.

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalJournal of Statistical Computation and Simulation
Volume41
Issue number1-2
DOIs
StatePublished - May 1 1992

Fingerprint

Lot Size
Screening
Simulation Methods
Monte Carlo method
Batch
Tolerance
Monte Carlo Simulation
Numerical Examples
Evaluation
Range of data
Monte Carlo simulation
Lot size
Relationships
Simulation methods
Batch size

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Modeling and Simulation
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

Cite this

Melloy, Brian J. ; McCool, John I. ; Rosenshine, Matthew. / Determining the production lot size for precision components. In: Journal of Statistical Computation and Simulation. 1992 ; Vol. 41, No. 1-2. pp. 1-18.
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Determining the production lot size for precision components. / Melloy, Brian J.; McCool, John I.; Rosenshine, Matthew.

In: Journal of Statistical Computation and Simulation, Vol. 41, No. 1-2, 01.05.1992, p. 1-18.

Research output: Contribution to journalArticle

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