This research includes evaluating the work of maintenance of themachines through
their own key performance indicators (KPI), and approved byindustrial and service
companies, We mention reliability, readiness ,average time between failures, average
Repair time ,average time of periodic maintenance of their production and
serviceequipment.
After the data processing of emergency failures and periodic maintenanceof
machines , we extracted values for maintenance performanceindicators, we measured
their performance and correlation to evaluateits compatibility with global indicators.
The research aim to assess the current situation through the use ofquantitative
methods pattern which is used to access the values of theprevious mentioned performance
indicators and their interdependence tobe used in support of maintenance decisionsin the
container terminal later.
We noticed a strong inverse association between periodic maintenance TPMtime and
breakdown TBD, and reached a value rERS = -0.99, and thereforewe must focus on
increasing periodic maintenance to reduce breakdowntime, and replace parts that cause
recurringproblems which caused about intensive breakdowns, thus reducing
periodicmaintenance time.
Also we were able to classify the quality of maintenance and machinesthrough the
readiness and reliability indicators and the mean timebetween failures.
