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Information Journal Paper

Title

Designing Tolerance of Assembled Components Using Weibull Distribution

Pages

  179-188

Abstract

 Tolerancing is one of the most important tools for planning, controlling, and improving quality in the industry. In order to meet the customer needs and enhance product and service quality, the design engineers use handbooks to determine the Tolerance. Although the use of the statistical methods to determine the Tolerance is not a new concept, the engineers for this purpose typically use the known statistical distributions such as the normal distribution. However, if the statistical distribution of the variable is unknown, a new statistical method is used. Therefore, we want to offer a flexible and proper statistical method to determine the Tolerance of components of a product to enhance its performance. In this regard, Weibull distribution is proposed. To illustrate the proposed method first technical characteristics of production components were selected randomly, and thenmanufacturing parameters were determined using maximum likelihood method. Finally, the Goodness of Fit test was used to ensure the accuracy of the obtained results.

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  • Cite

    APA: Copy

    MOVAHEDI, MOHAMMAD MEHDI, & Seyedghasemi, Seyedreza. (2019). Designing Tolerance of Assembled Components Using Weibull Distribution. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), 12(2 (26)), 179-188. SID. https://sid.ir/paper/721418/en

    Vancouver: Copy

    MOVAHEDI MOHAMMAD MEHDI, Seyedghasemi Seyedreza. Designing Tolerance of Assembled Components Using Weibull Distribution. JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING)[Internet]. 2019;12(2 (26)):179-188. Available from: https://sid.ir/paper/721418/en

    IEEE: Copy

    MOHAMMAD MEHDI MOVAHEDI, and Seyedreza Seyedghasemi, “Designing Tolerance of Assembled Components Using Weibull Distribution,” JOURNAL OF OPTIMIZATION IN INDUSTRIAL ENGINEERING (JOURNAL OF INDUSTRIAL ENGINEERING), vol. 12, no. 2 (26), pp. 179–188, 2019, [Online]. Available: https://sid.ir/paper/721418/en

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