Statistical tolerance analysis for non-normal or correlated normal component characteristics

J. P. Kharoufeh, M. J. Chandra

Research output: Contribution to journalArticlepeer-review

21 Scopus citations


The paper presents a simple approximation technique for statistical tolerance analysis, namely, the allocation of component tolerances based on a known assembly tolerance. The technique utilizes a discretized, multivariate kernel density estimate and a simple transformation to approximate the probability distribution of the overall assembly characteristic. The data-driven approach is suitable for real-world settings in which components are randomly selected from their respective manufacturing processes to form mechanical assemblies. Demonstrated is the numerical approach in two dimensions for two distinct cases: first, when component characteristics are non-normal, independent random variables, and second, when they are highly correlated, normal random variables. The results are promising in initial test problems.

Original languageEnglish (US)
Pages (from-to)337-352
Number of pages16
JournalInternational Journal of Production Research
Issue number2
StatePublished - 2002

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Industrial and Manufacturing Engineering


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