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\begin{document}

\title{Statistical mapping of the critical equipment and data collection on the
number and time between failures encountered in the weaving section of
the textile manufacturing processes}



\author[1]{Bett Kipchumba}%
\author[1]{Peter  Chemweno}%
\author[1]{Eric Nganyi}%
\author[1]{Jerry  Ochola}%
\affil[1]{Moi University}%


\vspace{-1em}



  
  \date{May 22, 2024}


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\begin{abstract}
The study's foundation is a scenario analysis of a textile mill's
weaving department, with the goal of determining the necessity of a
reliable and comprehensive plan for scheduling maintenance time.
According to the background information and problem statement, incidents
of Run failure maintenance and lengthy downtime (up to 60 days)
undermine the machines' availability (Schmidt, Galar \& Wang, 2016).The
desired efficiency and production are 90\% and 194.76 m, respectively,
however, the preliminary result indicate less. This indicates a gap that
must be closed by implementing regular and appropriate maintenance
plans. Additionally, the the incoherent and inconsistencies points at a
lack of an efficient maintenance plan. It was established that the
current strategy is not optimized and does not ensure machine
availability because there are disparities and irregularities in the
maintenance of crucial equipment. The objective of the study was to map
out the critical equipment and collect data on the number and time
between failures encountered in the weaving section of the textile
manufacturing processes. Failure mode and effect analysis and fish-bone
diagram were used in the analysis of the data. Mapping results indicates
downtime up to 60 days, the productivity was estimated at 194.76 meters,
and efficiency was 90\%. The results showed that weaving looms were the
essential piece of machinery.%
\end{abstract}%



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