English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The performance of any production system is highly dependent on processing equipment that is free of faults and breakdowns. This can be achieved through maintenance planning and statistical quality control. The aim of this research is to develop a model for statistical quality control with an integrated optimization-based maintenance model for multicomponent series systems using an exponentially weighted moving average chart. The optimization model is based on both the preventive and corrective maintenance policies. The developed model is used to find the optimal values of sample size, sample frequency, width of control chart limit in units corresponding to the standard deviation, and interval of preventive maintenance while minimizing the total expected cost of the system per unit time. The study included a case study example to demonstrate its applicability and to analyze the influence of cost parameters on the developed integrated model. Finally, sensitivity analysis was conducted to demonstrate the effectiveness of the proposed model.

New Integrated Model for Maintenance Planning and Quality Control Policy for Multi-Component System Using an EWMA Chart