omaintec 2016 governance of o&m master data quality...

OMAINTEC 2016

Governance of O&M Master Data Quality throughout Asset Lifecycle Jeddah, Kingdom of Saudi Arabia

By: Dr. Salomon De Jager – Chairman & CEO, PiLog Group

2016/12/22

Introduction

• It is accepted by now that Data should be treated as an Asset (MIT

TDQM 1991)

• Quote: “Data Quality becomes the lubricant for the Digital Age, just

as Oil was the lubricant for Industrialization a 100 years ago”.

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Introduction

• Without quality data and standards, interoperability in modern

manufacturing for example is not possible.

• Especially when the global and specialized vendors have to

cooperate to build modern and latest technology infrastructure,

automobiles, rail and trains, airports, aircraft, industrial plants,

nuclear plants and space stations to name a few.

• Similarly the digital data flow, automated control systems and

business management systems cannot cooperate without agreed

standards and data quality.


Introduction

• Within the KSA 2030 vision and NCLOM, Data Quality and

Applicable Standards will be a key component for success.

• It is essential that Data be treated as an Asset throughout the total

Asset Management Life Cycle with relevant data quality standards

to ensure continuous Governance Conformance.


ISO Standards

• ISO 55000 –

• ISO 55001 Asset management – Management systems –

Requirements, considers an asset management system to address

six aspects of an organization:

– the internal and external environment,

– its planning processes,

– its support processes,

– its operational processes,

– its performance evaluation processes,

– its ongoing improvement processes.


ISO 55000 and 9000

• ISO 55000/55001 certification is not a guarantee for good asset

performance and management.

• Likewise ISO 9000 and ISO 9001 is a quality-management system

intended to improve operations and processes to ensure Product

Quality.

• A certified ISO 9001 quality system is not a guarantee of an

excellent product, but a product built to adhere to a quality process.

• Data Quality is assumed?


ISO 8000

• No reference made of Data Requirements that need to be met in

ISO 55000 and ISO 9000.

• The best designed systems will fail if no attention is given to “data

meeting requirements” and the continuous improvement of data

quality. This aspect is addressed by ISO 8000.

• The ISO 8000 Data Quality standards, was initiated in 2005.

• It started off by Part 100 – Master Data.


• ISO 8000 Master Data

• Master Data Management (MDM) is as one of the key elements in

ISO 8000.

• The relation of Master Data to other data is illustrated below:


ISO 8000 part 100 series

• ISO 8000 part 100 series is

dedicated to ensure

maintainable and quality Master

Data, that can be exchanged

independent from the software

application of its use. Part 110

deals with data syntax,

semantic encoding and Data

Requirement specification. Part

120 deals with provenance,

part 130 with accuracy and part

140 with completeness. The

scope of ISO 8000 part 100

series is illustrated below:


A Form is a Specification of a Data Requirement

The Quality of the Data Requirement is Very Important

Example of ISO 8000 Data Requirement

Standardised Description C

atal

ogu

ing

Cla

ssif

icat

ion

Property ID Value Measure ID 0161-1#02-027375#1 3225020037

0161-1#02-023822#1 1.0 0161-1#05-000798#1

0161-1#02-010200#1 1.450 0161-1#05-000798#1

0161-1#02-010196#1 1.653 0161-1#05-000798#1

0161-1#02-004968#1 0.591 0161-1#05-000798#1

0161-1#02-027376#1 10

0161-1#02-027378#1 0.80 0161-1#08-002569#1

Property term Value Measure term

PRODUCT NUMBER 3225020037

NOMINAL THREAD DIAMETER 1.0 INCHES

WIDTH ACROSS FLATS 1.450 INCHES

WIDTH ACROSS CORNERS 1.653 INCHES

HEAD HEIGHT 0.591 INCHES

COUNT PER PACK 10

PACK PRICE 0.80 US DOLLAR

Bolt,Machine; Product Number: 3225020037; Nominal thread diameter: 1.0 inches; Width across flats: 1.450 inches; Width across corners: 1.653 inches; Head height: 0.591 inches; Count per pack: 10; Pack price: $0.80 (M-Bolt;NTD1.0”;WAF1.45”;CPP10)

eOTD Identifier

Coded

eOTD Identifiers Resolved

Rendered

Common Concept Encoding using an externally referenced dictionary

Class Name: Bolt, Machine

Class ID: 0161-1#01-014161#1

Global Interpretation

OTD

A unique public domain identifier is assigned to a concept.

0161-1#01-089388#1 table

0161-1#01-086445#1 chair

0161-1#02-018635#1 weight

0161-1#02-005808#1 length

0161-1#07-277660#1 Monday

0161-1#05-001122#1 kilogram

Music Engineering

Just as with music notation and engineering symbols, the OTD concept identifiers

are simply used to communicate more accurately in a language independent

environment.

• Polish: ŚRUBA,MASZYNOWA

• English: BOLT,MACHINE

• Dutch: BOUT, MACHINE

• Spanish: PERNO, TORNEADO

• Italian: BULLONE PER METALLO

• German: SCHRAUBE MIT KOPF

• Czech: SVORNÍK, STROJNÍ

The Language Challenge!

Example Russian MAT NO SN_EXX_0556494 MAT NO SN_EXX_0556494

ORIGINAL ORIGINAL

CLASS NAME CLASS NAME

FLANGE, PIPE ФЛАНЕЦ,ТРУБНЫЙ

FFT FFT

EXTRA STRONG; STANDARD ASME B16.5; SPECIFICATION - SP-50-13

ATTRIBUTES VALUE UOMSEQMAND ATTRIBUTES VALUE UOMSEQMAND

BORE ***** N/A 6 I ОТВЕРСТИЕ ***** N/A 6 I

COLOR CODE YELLOW/RED N/A 8 I ЦВЕТОВАЯ МАРКИРОВКА ЖЕЛТЫЙ/КРАСНЫЙ N/A 8 I

FACING RF N/A 7 I БЫТЬ ОБРАЩЕННЫМ ЛИЦЕВОЙ N/A 7 I

MATERIAL CS FORGED NORMALIZEDN/A 4 M МАТЕРИАЛ КОВАНАЯ УГЛЕРОДИСТАЯ СТАЛЬ НОРМАЛИЗОВАННАЯN/A 4 M

MATERIAL SPECIFICATIONASTM A350 GR LF2N/A 5 I МАТЕРИАЛ СПЕЦИФИКАЦИЯASTM A350 СОРТ LF2 N/A 5 I

PIPE SIZE ***** N/A 2 M РАЗМЕРЫ ТРУБ ***** N/A 2 M

RATING CL300 N/A 3 M РАСЧЕТНЫЕ ЗНАЧЕНИЯ CL300 N/A 3 M

TYPE WELD NECK N/A 1 M ТИП ПРИВАРНОЙ N/A 1 M

SHORT SHORT

LONG LONG

FLANGE TYPE - WELD NECK RATING - CLASS

300 FACING - RAISED FACE BORE - EXTRA

STRONG BORE MATERIAL - FORGED CARBON

STEEL ASTM A350 GRADE LF2 NORMALIZED

FLANGE, PIPE: TYPE: WELD NECK, RATING:

CL300, MATERIAL: CS FORGED NORMALIZED,

MATERIAL SPECIFICATION: ASTM A350 GR LF2,

FACING: RF, COLOR CODE: YELLOW/RED;

EXTRA STRONG; STANDARD ASME B16.5;

SPECIFICATION - SP-50-13

ТИП ФЛАНЦА - ПРИВАРНОЙ - КЛАСС 300, ЛИЦЕВОЙ-СУПЕРПРОЧНЫЙ

МАТЕРИАЛ - КОВАНАЯ УГЛЕРОДИСТАЯ СТАЛЬ ASTM A350 СОРТ LF2

НОРМАЛИЗОВАННАЯ ЦВЕТОВАЯ МАРКИРОВКА - ЖЕЛТЫЙ И

КРАСНЫЙ СТАНДАРТ - ASME B16.5 СПЕЦИФИКАЦИЯ - SP-50-13

ФЛАНЕЦ ТРУБНЫЙ: ТИП: ПРИВАРНОЙ; РАСЧЕТНЫЕ ЗНАЧЕНИЯ:

CL300, МАТЕРИАЛ: КОВАНАЯ УГЛЕРОДИСТАЯ СТАЛЬ,

НОРМАЛИЗОВАННАЯ, МАТЕРИАЛ СПЕЦИФИКАЦИЯ: ASTM A350 СОРТ

LF2, БЫТЬ ОБРАЩЕННЫМ: ЛИЦЕВОЙ, ЦВЕТОВАЯ МАРКИРОВКА:

ЖЕЛТЫЙ/КРАСНЫЙ; СУПЕРПРОЧНЫЙ; СТАНДАРТ ASME B16.5;

СПЕЦИФИКАЦИЯ - SP-50-13

FLANGE, PIPE:WELD NECK,CL300,RF;EXTRA ФЛАНЕЦ, ТРУБЫ:ПРИВАРНОЙ,CL300,ЛИЦЕВОЙ;СУПЕРПРОЧНЫЙ

СУПЕРПРОЧНЫЙ, СТАНДАРТ ASME B16.5, СПЕЦИФИКАЦИЯ SP-50-13

Dictionary Manager

Data Requirement Manager

Classification Manager

•Search Open Technical Dictionary

•Search PiLog Registered Dictionary

•Search PiLog Preferred Dictionary

•Build own dictionary for the organization

•View & add images to the dictionary

•Build data requirements(templates) on the fly

• Enforce data quality via templates

•Build product or service templates

•Propagate templates across organization

•Compare data requirements (templates)

•Classify the PPO Class

•Map with UNSPSC

•Understand & Evaluate Spend

•Build material groups based on UNSPSC

Master Data Ontology Manager (ISO 8000)

Copyright © 2013 PiLog

Example Dictionary Manager


Dictionary Manager – View Image


Dictionary Manager – View Vendors


Dictionary Manager – View Translations

Example NATIONAL II MODEL

Materia

l

Material

Catalogue

Comm

BOM’s

Contracts

FFT

Structured

Text Purchase

Services

“BOM’s”

Services

Catalogue

REPORTING

STRUCTURES:

UNSPSC

TRADE CODES ,ETC

OTD II Guides

DR/TEMPLATES

POLICY

&

GOVERNANCE

CROSS

REF e.g.

NSN

ESN

INC

MRC

FIIC

SUPPLIER PART INC ….

NATIONAL MATERIAL MASTER

CENTRAL

CODIFICATION

SUPPORT

CODIFICATION& CATALOGUING

LINKS

STANDARDISATION

ARMY

NAVY SUPPLIERS

NATO II REQUIREMENTS

DOD

DOD

SAAF

DOD

DEPARTMENT

DEPARTMENT

INDUSTRY

INDUSTRY

PROVINCE

SUPPLIER

GOVERNMENT ORGANISATIONS

PROC

PROC

SUPPLIER

SUPPLIER


Preferred Ontology Dashboard

Typical Data Sources during the Asset Lifecycle

• Identifying the data sources

during the engineering design

and acquisition phase of the

Infrastructure, Plant and

Equipment life cycle is cardinal.

The origin of correct and quality

data lies largely with the

Original Equipment

Manufacturer (OEM). The

typical data sources is

illustrated below:

2016/12/22

www.piloggroup.com 24

NCLOM - Master Data Acquisition / Project Phase Master Data Management / Operational ERP Phase

Time

Le

ve

l o

f E

ffo

rt

Planning

Requisition

Procurement

Issuing

Inventory

Receiving

Maintenance

Design

Procurement

Construction

Documentation

Data Extraction

Configuration

Preparation

Upload to ERP

Feedback

Existing

Practice

Best Business

Practice

4 - 5 years 20 years Handover

Plant Commissioning

18 months

Max Level of Effort

Phase -Out

Master Data Overview – From the Cradle to the Grave

2016/12/22 www.piloggroup.com

Master Data Quality – Platform


Governance – Single Version of Truth (Materials, Services,

Assets)


Data Acquisition from ERP

Assign a Class (PPO)

Extract & Validate Reference Data

Extract & Validate Drawings data

Extract & populate property

values

Restructure Free text (FFT)

Standardize & Abbreviate

values

Populate & Validate ERP

data

Generate Structured

Descriptions

Generate & Confirm Potential

Duplicates

Approve & Upload to ERP

Thank You for this Opportunity

Instructor Bio

• Dr Salomon de Jager, CEO of Pilog Group is a Professional Engineer. He worked for Iron and Steel Corporation SA for six years and was involved in the design and optimization of asset and inventory management systems. In 1984 Salomon established a consultancy practice which developed and implemented the integrated asset and logistics management system for the South African Air Force and Navy. Successful Asset and Maintenance Management systems was also developed and implemented for the Steel, Utilities, Mining, Nuclear, Telecom, Aviation and Petrochemical Industries. This elaborated experience was used to complete his PhD in 1993 on System Engineering and integrated acquisition processes in nuclear enrichment equipment. Dr Salomon will be assisted by Eng. Suleiman Barada, an experienced and specialized consultant in Master Data Quality and Enterprise Asset Management business automation.

2016/12/22

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omaintec 2016 governance of o&m master data quality...

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