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1
Asset Analytix Demo Part 1 - Powered by SAS
Asset Analytix Demo Part 1 - Powered by SAS (16)
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2
Breakdown Analysis
Breakdown Analysis (11)
This model shows summary of braekdown analysis for all the assets in a selected location. The further drill down on asset shows pareto analysis by problem code for a selected failure code.The pareto analysis will help to identify critical problem codes for an asset.
3
Competing Risk
Competing Risk (12)
This model is developed using survival analysis. It helps to identify the failure codes which affect survival of an asset.It is also possible to create multiple scenarios by combination of failure codes.
4
Cost Based FMEA
Cost Based FMEA (13)
This model is best overcomes the drawback of traditional FMEA.A new approach is developed to prioritize failure codes based on cost that is cost based Failure Mode and Effects Analysis (FMEA) using Expected Annual Cost (EAC).
5
Economic Order Quantity (EOQ)
Economic Order Quantity (EOQ) (2)
Economic Order Quantity (EOQ) Calculator find the optimal quantity to order that minimizes total variable cost required to order and hold inventory.
6
Heat Map for Downtime Hours
Heat Map for Downtime Hours (10)
Heat map is a graphical representation of data. Heat maps enable us to view the overall organizational scenario of assets\\\' performance at once.
7
Maximo Portal
Maximo Portal (3)
Maximo Portal is a packaged bundle of a set of pre-built Reports, KPIs, DW Data Models, Dashboards, and tools powered by Open source technology that provides advanced Reporting, dashboards, what If analysis, and BI capabilities for effective Asset Maintenance and Reliability to Asset intensive industries.
8
Mean Residual Life (MRL)
Mean Residual Life (MRL) (6)
In reliability or survival analysis, the mean residual life (MRL) of an asset is the expected remaining life; given that a component has survived until time t.
9
MTTR - MTBF
MTTR - MTBF (14)
Mean Time Between Failure (MTBF), is the average timeency with which a equipment fails and Mean Time To Repair (MTTR) represents the average time required to repair a failed equipment. This model is used to calculate MTBF & MTTR of an equipment.
10
Optimum PM Interval
Optimum PM Interval (9)
This model is designed to arrive at the optimum PM interval for a specific PM code and for an asset sub-class. This model can be generalized across organization or customized for a particular Facility or Vendor.
11
Repair or Replace an Asset
Repair or Replace an Asset (5)
This model helps the decision makers to know the health of the asset and to decide wheather the asset needs a repair, replace or run it till it fails.
12
Spare Parts Optimization
Spare Parts Optimization (8)
Spare Part Optimization model that allows you to statistically determine whether to hold a spare part and in what quantity.
13
Total Cost of Ownership (TCO)
Total Cost of Ownership (TCO) (4)
Total Cost of Ownership (TCO) concept defines the cost of owning an asset from the time of purchase by the organization, through its operation and maintenance to the time it leaves the possession.
14
Vendor Analysis
Vendor Analysis (15)
This model is used for within calss comparison of equipment by different vendors.Using Weibull distribution for the time between failure data it is possible to compare performance of equipments by different vendors.
15
Weibull Analysis
Weibull Analysis (7)
Weibull analysis model is used to fit the appropriate parametric distribution to failure data and to estimate its parameters to calculate its MTBF.
Solution Areas
Asset Performance Mgmt.
Asset Life Cycle
Cost Analysis
Failure Analysis (FMEA / FMECA)
Reliability Analysis
Preventive Maintenance
Predictive Maintenance
Work Planning & Scheduling
Resource Management
Spare Parts Optimization
Compliance (Env-Health-Safety)
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