Enabling Data and Analytics. for Enterprise Asset management (EAM) Devang Patel & Arun Narayanan. SEAL Consulting Inc SESSION CODE: EM2098

Enabling Data and Analytics

for Enterprise Asset management (EAM)

Devang Patel & Arun Narayanan

SEAL Consulting Inc

Agenda:



What is EAM?



Business Challenges / Benefits



Why EAM?



Architecture



EAM Data Collection / Practice Area(s)



Input Data Set

What is EAM?

 Enterprise asset management (EAM) is a broad term vendors use to describe software that provides managers with a way to view company-owned assets holistically.

 The goal is to enable managers to control and pro-actively optimize operations for quality and efficiency.

 In earlier years, EAM was simply called maintenance scheduling software.

 EAMs facilitate operations by automating requests for upgrades, regular maintenance and decommissioning or replacement.

 Assets in terms of EAM include all assets except financial assets like stocks or bonds, but typically refer to maintainable equipment.

Business Challenges / Benefits



In Depth value, analysis, & insight on current EAM process.



An opportunity to improve Business Processes surrounding,

Standard Data Processes.



Improvise Source(s) of Data by standardizing processes,

from which data is collected.



Opportunity for customers to Improve/Improvise

Maintenance Process.



Visualize Equipment Downtime at a manufacturing Plant.



Output the report with downtime/shutdown for each of the

Equipment during Production.

Why EAM - Solution?



With proper EAM Process, it allows customers the

ability to assess the true state of their organization

with one common deliverable, a comprehensive

report identifying improvement opportunities with

asset data, maintenance processes and SAP

system issues.



Proper and more consistent way of managing

Enterprise Data.



Reduced downtime at a production plant or

Reference - Architecture

SAP

Maximo

SLA

Non-SAP

M

AP

SAP Data Services

SAP

Best

Practices

Business

Rules

Filters

SAP HANA

Dynamic

Reporting

Tool

(Xcelcius

Dashboards

)

RDBMS

EAM – Implementation Focus Areas

Data Capture

 Capturing missing equipment information through the physical verification/inventory of plant equipment using handheld computers pre-loaded with equipment data.

 Capturing missing equipment information located in unstructured sources . . . Process & Instrumentation Diagrams, Process Flow Diagrams, engineering drawings, etc.

Consolidating and Organizing Data

 Defining and implementing equipment hierarchies standards.

 Defining and implementing appropriate equipment in a consistent ways to name equipment, noun/modifier, equipment class, etc.

 Adding missing equipment attributes, for example, OEM part number, physical characteristics, etc.

 Adding unique identifiers to equipment using barcode and RFID technologies.

 Combining and standardizing multiple databases.

 Building Bill of Materials.

Data Cleansing

 Completeness: Descriptions, Manufacturer, Model, Part Number, etc.

 Consistency: Standard abbreviations and terms, naming conventions

 Conformity: Checks against the data dictionary with comparison to standards

 Duplication: Exact matches, exact substitutions, & functional equivalents.

Data Migration

 Data mapping between any combination of source and target: JD Edwards to SAP, Maximo to SAP, Maximo to Oracle, Legacy Mainframe to SAP, etc.

 Mergers & Acquisitions: Speeding business integration

EAM Data Collection Best Practice



Obtain input file of all assets including tag number.



Perform Input File analysis & classify if possible.



Prepare Logistics plan for physical verification.



Identify Assets in location using asset tags on assets.



Does Asset exist as per input file?



Write Asset information on RFID tags and tag them to the asset.



Does Asset Exist that’s not in input?



Flag off for new Asset Creation (to be done offline within SAP/any other legacy system).



Identify & flag off Asset Status.

Input Data Set



Data Input set will reside in SAP.



EAM Related Data will be extracted from SAP.



EAM PM consultant will help with SAP PM Data Extracts.

Defining Rules

– Rules Template



Managing Assets.



Notifications.



Preventative Maintenance.



Functional Location / Equipment.



Orders Notification.



Maintenance Tasks.



Work Order Management.



MTTR (Mean Time to Repair) Reports – For Plant

•

For each Equipment problem/defect problem

Notifications are initiated.

•

For each notification created – prioritize the orders for

each equipment.

•

Preventative Maintenance evaluation.

•

For each Equipment problem/defect problem

Notifications are initiated.

•

Notifications assigned to functional location (by

notification type, plant).

•

Records with breakdown indicator set but no

malfunction start/end (by notification type, plant).

•

Records with malfunction start/end populated, but no

breakdown indicator (by notification type, plant).

•

Notifications with/without an assigned order (by

system status listed above, plant, notification type).

•

Work Orders are initiated for maintenance activity by

order type, plant and system status.

•

Prioritize orders.

•

Summarize Orders with or without an associated

notification by Notification Type and or Order Type.

•

Backlog Orders to evaluate Open, Created,

Released, Technically Completed, or Closed Orders

Year to Date.

•

With Preventative Maintenance evaluation:

•

Summarize Maintenance Items Per Maintenance Plan.

•

Task List not used on any Maintenance Item or Orders.

•

Percentage of preventive maintenance orders with cost of

$0, indicating that the work was not performed.

•

Further analysis required for the Orders with Cost of $0.00.

•

Preventive Maintenance count of Strategy Plans Vs Single

Cycle.



Highlight/summarize 3-5 key learning points from

the presentation.

STAY INFORMED

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THANK YOU FOR PARTICIPATING

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SESSION CODE: EM2098

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