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.