Dexcent IDS

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Has your Industrial Asset Maintenance Program Flatlined?

Has your organization taken all the possible steps to ensure your success? Industrial organizations spend considerable time and effort planning and strategizing to maximize production, minimize downtime, and prevent equipment failure. These are critical aspects to ensure success in the industry.

Some of the steps typically taken in the drive to operational excellence include:
• Implementing OEM Alarm Management
• Adopting Condition Based Maintenance
• Optimization of Production Processes

These steps allow the gathering of the low hanging fruit from the asset management tree, ensuring early success and immediate benefit to the organization. Eventually, even with all the above tools implemented, the reach of your asset maintenance program is limited and will hit a plateau where no further advantage can be effectively realized. This is the time to look at the sun-ripened, juicy fruit at the top of the tree.

How to Know If Your Asset Maintenance Program Has Flatlined?

The two primary key performance indicators of a successful AMP are lower costs for the maintenance of the organization’s assets and increased availability and readiness of those assets. The most important signs of a flatlined asset maintenance program are: an extended cost-avoidance plateau, and an inability to reach ideal asset availability targets.


Organizations should expect at least a three to five percent decrease in asset maintenance costs annually. If your organization isn’t meeting these benchmarks, it may be the case that your asset maintenance program has reached a plateau.
Most of the low-hanging fruit solutions will get you to this plateau point, but for most organizations, this point is not their optimal target for annual cost decrease.

What if you could close the gap in the graph above and reach your optimal cost avoidance target? You would be able to not only stop your program from flatlining, but also take it to the next level. A solution that can do this has to be able to perform the difficult, complicated analyses that other asset maintenance solutions can’t.

Asset Availability Target

Are you meeting your asset availability and uptime targets? A major sign of an asset maintenance program flatline is an inability to meet ideal targets. For most organizations, an asset, and its ability to perform at peak, is the key to production performance, whether in mobile or fixed assets.
The ultimate goal, then, is reaching an asset availability or uptime milestone that no one else has been able to reach. Because this will ensure a production performance that competitors can’t achieve. But the low-hanging fruit solutions won’t be able to get you where you want to be.

To close the gap in the graph above, you need an advanced solution to asset maintenance. You need a solution that will get you the valuable fruits at the top of the tree; the ideal production performance.

There is a system that can improve both your cost avoidance and asset availability.

The Dexcent Solution to improving industrial asset maintenance programs

If your organization isn’t achieving it’s best possible asset availability, or if you haven’t seen a significant decrease in cost annually, it might be time to consider a serious addition to your asset maintenance program. The Dexcent Asset Analytics Solution (DAAS) goes further than just jump-starting programs that have flatlined; it takes them to the next level.

DAAS will help to improve all of the signs of flatlining, by significant cost avoidance, and helping your organization not only achieve, but also improve your asset availability target. The system will change the way your organization detects and responds to asset health concerns dramatically.
DAAS is engineered to be a “fruit at the top of the tree” solution. We do the complicated analyses that others don’t or can’t. DAAS is the solution that will close the gaps in the cost-avoidance and asset maintenance graphs.

How does this work? DAAS is automation for data analysis. It takes the intuitive understanding of abnormal operating states and root-cause analytics that a subject matter expert has and applies it automatically, continuously, and consistently, even in the midst of unreliable and partially delayed data streams.

If you are interested in learning more about DAAS and the Dexcent solution, visit our website, or contact us today.

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Table of Content

1. Purpose
1.1. Purpose and Goals
1.2. Why The Industrial DataOps Process Is Needed?
1.3. Industrial DataOps Practitioner Engagement
1.3.1. Oversee An Existing Industrial DataOps Program
1.3.2. High Data Secrecy Organizations
1.3.3. Full Engagement
1.4. Principles
1.4.1. Know Your Data
1.4.2. Curate Your Data
1.4.3. Unify Your Data
1.4.4. Analyze Your Data
1.4.5. Hardware, Software, and People Working Together
1.5. Lifecycle
2. Intention
2.1. Scope
2.2. Assumptions
3. Terminology & References
3.1. Definitions
3.2. Acronyms and Abbreviations
3.3. Industry References, Standards, Regulations and Guidelines
3.4. Site Related References, Standards, Regulations and Guidelines
4. Expectations and Responsibilities
4.1. Roles
4.2. Role Job Description
4.3. Role Assignment
5. Opportunity Identification
5.1. Need Initiated
5.2. Improvement Initiated
7. Baselining
7.1. Data Rationalization
7.2. Data Justification
7.3. Data Impact
7.4. Data Flow
7.4.1. Data Producer
7.4.2. Data Path
7.4.3. Data Consumer
7.5. Data Good State
7.5.1. Failure Conditions
7.5.2. Warning Conditions
7.5.3. Abnormal Conditions
7.6. Data Processing Team
8. Target Confidence Factors
9. Critical Success Factors
10. Risk Analysis / Mitigation Plan
10.1. Risk Analysis
10.2. Mitigation Plan
11. Technology Selection
11.1. Hardware
11.2. Software
11.3. People
12. Project Execution
12.1. Project Synergy
12.2. Project Synergy
12.3. Resource Acquisition
12.4. Scheduling
12.5. Implementation
12.6. Training
12.7. Maintenance
12.8. Contingency
13. Evaluation Vs Baseline
14. Calibration & Sustainment
14.1. Training
14.2. Maintenance
14.3. Obsolescence
15. Continuous Improvement Process
15.1. Continuous Process Documentation
15.2. Audit
16. Management Of Change (MOC)
16.1. Applicability
16.2. Methodology