Vol. 22 No. 4 (2019) Cover Image
Vol. 22 No. 4 (2019)

Published: December 31, 2019

Pages: 294-306

Articles

Enhancement of Maintenance Downtime Using Poisson Motivated-Taguchi Optimization Method

Akinwale Olusegun Raji Sunday Ayoola Oke 1
1 University of Lagos, Lagos
History
  • Received: July 3, 2019
  • Revised: October 2, 2019
  • Accepted: November 17, 2019
  • Available Online: December 20, 2019
DOI

https://doi.org/10.29194/NJES.22040294

Abstract

In an original article, an addition was made to the well-known Taguchi’s methodical design literature by proposing how Poisson distribution may be incorporated into the Taguchi method for enhanced performance analysis in optimization. While the article is recent, it was found compelling enough to apply this novel concept of Poisson distribution to a growing area of maintenance research known as maintenance downtime analysis. Consequently, this paper contributes to the expanding research neighborhood through a Taguchi optimization method based on Poisson distribution related to the maintenance process optimization. A valuable method to optimize maintenance downtime was developed wherein the Poisson distribution was used to achieve the probability of maintenance downtime. An important foundation of the method is the Taguchi scheme. These elements were transformed into the factor-level design of the Poisson enhanced Taguchi scheme while the framework was tested using data from a process industry for validation. Interesting, the Taguchi's signal-to-noise quotient led to an enhanced set of limiting factors for better reliability of the system as G1H1I1J1K3. By interpretation, the following was found: downtime (204.61 mins), probability density function (0.00187), and cumulative density function (0.00776). The combination of these factors and levels will enhance maintenance downtime in the process industry as a result of their contributions. The outcome revealed the competence of the model to optimization schemes.

Keywords

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