Choose a Subject Matter All APM Asset Life Cycle Compliance (Env-Health-Safety) Cost Analysis Failure Analysis Predictive Maintenance Preventive Maintenance Purchase Reliability Analysis Resources Management Spare Parts Work Planning & Scheduling

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#	REPORT TITLE
1	Monitoring Number of Failures Using C Chart
	This report provides failure report of assets located at particular site. The graphical representation indicates which asset is not under statistical control.
2	Asset Failure-Summary Report
	This report facilitates maintenance manager to understand failure details such as asset failures, breakdown causes and time etc. by location.
3	Bathtub Curve Report
	The bathtub curve provides asset failure details such as failure number, cause, failure date, TBF and failure rate. The bathtub curve for failure rate against failure number projects early failures, random failures and wear out failures. The report is typically meant for maintenance professionals for asset performance management.
4	Corrective Maintenance Measurables
	This report shows weekly report for particular department. Graphical representation provides monthly completed CM work orders and weekly completed CM work order count. Cross tab shows Completed CM WO Closed for the week summary by Site & Priority and Open Corrective Work Order Remaining summary by Site & Priority.
5	Failure Data Analysis & Competing Risks
	This model will identify the failure causes which affects the reliability of an asset.It will also show the significant difference in reliability of an asset after removing failure cause(s).
6	Fishbone Diagram for Cause & Effect
	Helps to determine root causes.Encourages Group participation.Increases process knowledge.Indicates possible causes of variation.
7	Forecasted Data Analysis Using 'Seasonal Exponential Smoothing' Method
	This report is meant for maintenance managers as it forecasts the total downtime hours using seasonal exponential smoothing method. Downtime hours documented month-wise are used to forecast downtime for next six months. It helps to plan material and spare parts in order to achieve effective asset optimization.
8	Forecasting Downtime
	This report is meant for maintenance managers as it forecasts the total downtime hours using seasonal exponential smoothing method. Downtime hours documented month-wise are used to forecast downtime for next six months. It helps to plan material and spare parts in order to achieve effective asset optimization.
9	Forecasting Number of Failures using Time Series
	Number of Failures for class of asset or an asset will be foretasted using Time Series Model.
10	Forecasting Time Between Failure
	This report is useful for the maintenance manager to forecast time between failure. The report indicates failure code, actual TBF, forecasted TBF etc. TBF forecasting using Holt winter exponential smoothing method facilitates management to take decisions in order to avoid failures.
11	Forecasting Time Between Failures using Expo Smoothing
	Time Between Failures for an asset will be forecasted using Time series model.It will help to estimate next few failures for an asset.
12	Mean Time To Repair by Problem Code
	This report shows Pareto Analysis for total Time To Repair (TTR) by problem code for particular asset.
13	Monitoring Number of Failures Using C chart
	"Number of failures for an asset are recorded for different time point. A center line, is the average number of failures, which is calculated from the data . Upper and lower control limits (sometimes called ""natural process limits"") that indicate the threshold at which the maintenance process is considered statistically 'unlikely'. Upper and lower warning limits, drawn as separate lines, typically two standard deviations above and below the center line. "
14	Monte Carlo Simulation - Weibull analysis
	Monte carlo simulation are used to estimate future instances of failures by failure code using the known failure and repair distribution.
15	Monte Carlo Simulation to calculate MTBF
	Monte carlo simulation are used to estimate future instances of failures by failure code using the known failure and repair distribution.
16	Monte Carlo Simulation to Forecast Failure Causes
	Monte Carlo Simulation will be used to forecast causes of failure by simulation time to failure for an asset.
17	Number of failures by Month for selected Asset
	This report provides failure report of assets located at particular site. The graphical representation indicates which asset is not under statistical control.
18	Occurrence of the failure-codes
	Monte carlo simulation are used to estimate future instances of failures by failure code using the known failure and repair distribution.
19	Pareto Analysis
	This report is typically meant for maintenance engineers. The Pareto analysis technique indicates the number of failures, for particular asset, due to particular cause. If the failures are controlled, it results in proper asset optimization for optimum productivity.
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	This report shows the Pareto analysis technique in decision making for an asset, used for selection of a limited number of tasks that produce significant overall effect. It uses the Pareto principal, a large majority of problems (80%) are produced by a few key causes (20%).

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