martin sturm, sylke rosenplaenter semantic network and ... · martin sturm, sylke rosenplaenter...

www.opel.com

Martin Sturm, Sylke Rosenplaenter

SEMANTIC NETWORK AND SEARCHIN VEHICLE ENGINEERING From Concept to Deployment

Vehicle Design Operations & System DevelopmentGM Europe EngineeringAdam Opel AG

AGENDA.

1. Motivation: Issue and Business Impact

2. The Idea: From structures and folders to metadata and semantic network

3. Semantic Network and Search Engine: Best Practices

4. Deployment Strategy: Going fast vs. being perfect

5. Outlook: The Big Picture

This presentation focuses on project deployment, reviews the current achievements and roadblocks and reports on project progress and implementation status.

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AGENDA.Motivation The Idea Best Practices Deployment Strategy Outlook

AGENDA.3

ISSUE

searching for data• complex IT landscape• many isolated tools

verifying data• duplicated, inconsistent

& out‐of date data

extracting data• file attachments• integrated text & tables

converting data• various data formats

Engineers spend significant time*

valuable time for core engineering activities is lost

*GM & Opel SurveysMotivation The Idea Best Practices Deployment Strategy Outlook

AGENDA.4

BUSINESS IMPACT

What are the data I need?

Where is the data I need?

Is it the latest status?

Are changes coming across?

Who is the person to talk

to?

What changes occurred?

…

• The Top 1 problem when talking to our global Engineering workforce*• Results in long search time (up to weeks)

• Various systems with different interfaces and methodologies• Links between information are often not obvious (e.g. Work Order to CAD part)• Best Practices for ‘Data Mining’ exist, but who knows them all?

• Kills productivity and efficiency

*GM & Opel SurveysMotivation The Idea Best Practices Deployment Strategy Outlook

AGENDA.

“To whom do I have to talk? Who is the Design Engineer?”

“Why that? What was the reason to do so?

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BUSINESS IMPACT

“The speaker does not fit into the Door anymore. Seems the measurements were

modified.

What’s the release status?

Motivation The Idea Best Practices Deployment Strategy Outlook

AGENDA.

The Idea: From structures and folders to metadata and semantic network‘As‐was’ situation

• Data Management through isolated IT tools and databases (‘Data Silos’),relations between data gets lost, structure defined by application

• Data Management through hierarchical structuresFolders on Shared Drives, Vehicle Assembly structures (CAD)

• Unmanaged Data eMail attachments, Hard Disks or Flash Drives

The Idea: Combining metadata and semantic network provides great improvement in information management and retrieval.

QUICK RECAPITULATION6


AGENDA.

Imagine you would like to buy a book about“business data management”!

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FROM STRUCTURE TO CONTEXT…

Into which category might such a book

fall into?

Information Technology?

Engineering?

Business & Investing?

Management & Leadership?

Data Bases?


AGENDA.

a) You visit a traditional bookshop

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FROM STRUCTURE TO CONTEXT…

business data managementSearch…

Semantic search

Results: 1‐ 4 of 30Data Management

Enterprise Content Management

Database Technologies

Lost Knowledge:How Companies can govern today‘s data chaos!

And: you receive more context informationsupporting you in finding the “right” book:

Customer ratings Customer tags

b) You use an online bookshop:

You receive search results out of several categories:

Why: use of keywords = context information

And: you can assist others to receive improved search results by adapting these mechanisms.

Specialized books

Information Technology Engineering

Business & Investing

Data Bases

Data Management

KnowledgeManagement Physics

Management& Leadership

Business& Finance

With a little luck & patience, you might find the type of book you were looking for!


AGENDA.9

… TO SEMANTIC RELATIONS.

Why do we need semantic search & networks on top of context information?

• Investigate the data sources using a business specific set of rules

• Automatically establish relations between information pieces

• Search result supports• Traveling the network• Aggregating information

We need to transfer context information into knowledge!

Semantic search & networks

Source: https://www.google.de (search Term „prostep“)


AGENDA.

Changes Decisions

• No central point of search• Engineer has to know where to find data• Different systems, different user interfaces• Multiple data sources to get full picture• No straightforward “lookup” of data

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FINDING INFORMATION: EXAMPLE

PDM System

BOM System

Quality


AGENDA.

Changes Decisions

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SEMANTIC SEARCH: APPROACH

PDM System

BOM System

Quality


AGENDA.

The Idea: From structures and folders to metadata and semantic networkThe Challenge ‐ Engineers know and love folders

AN UNFINISHED JOURNEY12

• Large organizations move slowly: Still unfinished journey to change Engineers' mind set regarding the use of metadata

• Convincing users to try something new and improve Data Management can be very time consuming…


AGENDA.

Semantic Network and Search Engine: Best PracticesFinding is not enough

• Create bridges between source applications and establish connections between search results

• Investigate the data sources using a business specific set of rules and establish automatic relations between information pieces

Semantic Networks can be used to turn search results into knowledge.

FINDING IS NOT ENOUGH13


AGENDA.

Semantic Network and Search Engine: Best Practices Less is more

• Target: Google‐like user interface • Flexible and simple interface to support scalability of

connected data sources

LESS IS MORE14


AGENDA.MODIFIED USER INTERFACE15


AGENDA.

Semantic Network and Search Engine: Best PracticesEnhance search results through intelligent filters

• *.ppt is not a good filter => Program, Model Year, VPPS, Region,...• Scalability to connect additional Data and Record Types from additional

sources

CLEVER FILTERS16


AGENDA.CLEVER FILTERS17

Data Source Filter• Geometrical Information• Part List Information• Engineering Work Orders• Change Management• Problem Resolutions• Experts• Standards• Visual Issues

Filter options are only available if search results meet that particular Data Source Filter criteria


AGENDA.CLEVER FILTERS18

Model Filter• Product Line• Division• Body Style• Model Year

Filter options are only available if search results meet that particular Model Filter criteria


AGENDA.

Semantic Network and Search Engine: Best Practices Balancing Quickness and Details

Provide Quick Overview Cover pages as well as Detail Views for each Search Result before opening the actual Data Source

Also, link Experts for eachparticular Search Result

COVER PAGES AND DETAIL VIEWS19


AGENDA.

Semantic Network and Search Engine: Best PracticesBalancing Quickness and Details

To see the Relationshipamong Search Results,all Related Hits will bedisplayed including theirfilters, e.g.

A Search Hit about aChange Decision will alsodisplay its related WorkOrder, related 3D part aswell as all Experts for thiscontext

RELATED HITS20


AGENDA.

Identification of data sources: Best PracticesPerformance and Security Challenges

• Balance search results: Full text index (information overkill?!) vs. selected data / document types

• Handle the complex and evolving network: Identify, setup and maintain the right connections

• Meet ILM and security requirements:Check who can see what in which system

• Integrate new record types on (business) demand: Technical Specifications, Supplier Contractual Information, Test Reports, …

CONFLICT OF INTERESTS21


AGENDA.

Semantic Network and Search Engine: Best PracticesSecurity Concept

SECURITY CONCEPT22

SmartSearch

Search Index

Data Source

Hyperlinks to the original data source will control information accessibility

Search results themselves only provide limited level of detail information

Employees

Hyperlink

Data SourceData SourceData Source


Suppliers

AGENDA.

Deployment Strategy: Going fast vs. being perfect Iterative approach

Going small steps but being quick? Or going big steps but being slow?

• Data sources will be connected one by another

• Continuous improvements to create awareness and desires

• Develop business cases to plan next developments and allocate resources for release management

ITERATIVE APPROACH23


AGENDA.

Deployment Strategy: Going fast vs. being perfectImplementation Schedule

IMPLEMENTATION SCHEDULE24

2011 2012 2013 2014 …2015 2016 2017

The idea:Smartsearch wins 1st Global IT Innovation Challenge

Prototype: Focus on usability, search results, 170+ users, most joined voluntarily

Global Rollout:Deployed to Enterprise Data Center for 13.000+ engineers

SmartSearch 2.0:Powertrain & Manufacturing Integration

SmartSearch 3.0 (Proposed):Integration of further record types and training content

Productive System:Testing load balancer, bandwidth and usage in productive use


© CONWEA

VER GmbH

–20

17 –All rightsreserved

20%

In a heterogeneous IT‐landscape CONWEAVER provides a Linked Enterprise Data Layer between the different application systems.

Turnover p.a.> 100.000License Seats of Linksphere Terra

Connecting the Dotssince 2007

Visual Dynamic Data Linking is enabled by more than 350 Analytics & Information Access Modules.

Our Linksphere Products (Terra & Luna) are in productive use at well known discrete manufacturing enterprises.

Linksphere Terra & LunaCONWEAVERDr. Thomas Kamps | [email protected] | +49 6151 599 92‐222 | CONWEAVER GmbH | Friedensplatz 12 | 64283 Darmstadt | www.conweaver.com

© CONWEA

VER GmbH

–20


SmartSearch – Step 1At the very beginning

Sketch of data and system landscape

Created data and system landscape (by customer)

Collected system screenshots and/or sample data

Explained the business processes

Mockupfor preproduction prototype

Analyzed provided information

Created Mockup for preproduction Prototype

GMIT Innovation Challenge 2011 Global Winner

Rapid Prototypingwith data analysis and cleansing

Detected (and corrected) incomplete and inaccurate records

Identified degree of link‐up between 1%‐400%

Optimized links in the Graph Implemented Prototype

© CONWEA

VER GmbH

–20


Agile Configuration several iterations

Created Data Analysis Layer, Linksphere Terra Graph and Information Access & Visualization Layer

GoLivewith production system

UAT Handover to Operations Team Rollout Planning

EvolutionFurther development (in house)

Version (Release) 1&2 configured by CONWEAVER

Since the configuration of the 3rd version by GM (in house)

SmartSearch – Step 2From Prototype to Productive System

© CONWEA

VER GmbH

–20


16Data Sources

13.500Total User

With SmartSearch, you can got very good result and save your time. Thanks to creator.

Amazing Tool

First time using it and already smiling. Nicely done! Found a PN in minutes that I would have had to chase down for who knows how long with my old search method :)

This system is a great step forward and I see a lot of potential. Thank you.

Hello, Your search is great! Finally we get something that integrates data from different sources.

User Feedback

If you build it, will they come?From global winner to real benefit ‐ Increasing numbers of users

© CONWEA

VER GmbH

–20


Further Use Cases*by extending the Linksphere Graph

Part Dashboard Weight Monitoring Maturity State Monitoring Support for

Systems Engineering Configuration

Lifecycle Management Support for

Safety Forensic Engineers Mechatronics Fastening Technology Linked Data Layer …

*Examples of other CONWEAVER customersLinked Data for Smart Search Linked Data for Smart Search & further Use Cases

Today Tomorrow1 2

Linked Enterprisean accelerator of Digital Transformation

AGENDA.

Deployment Strategy: Going fast vs. being perfectCommunication Measures

• Interactive user feedback through feedback button:Work together with users to realize further enhancements

• Rollout and implementation through All People Meetings instead of formal communication only

• Collect feedback and encourage collaboration through internal social media

COMMUNICATION30


AGENDA.

Deployment Strategy: Going fast vs. being perfectAlso think about…

• Which is the ‘Gold Source’ for data? Who owns it?• How does SmartSearch know about future / additional vehicles?• Who will decide about adding them to SmartSearch?

• How does the concept fit into your data storage strategy?• What about clean up processes?

• Stop thinking in “Silos”, think about context• How can this shift in paradigm be communicated?

GLOBAL APPROACH31


AGENDA.

Outlook: The Big PictureFuture Topics

FUTURE TOPICS32

Confidential Programs

Role‐based Results

Machine Learning

SmartSearch

Data Mining

Multilevel Security

Big Data

ModernUser Interface

Flexible Framework

User Interface


AGENDA.QUESTIONS33

The amount of data increases daily and we need to treat it very efficiently!

“Big solutions” take time, but we cannot always wait!

Please feel invited for a lively discussion!


AGENDA.An unfinished journey… still…SUMMARY, OUTLOOK, QUESTIONS

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Martin Sturm, Sylke Rosenplaenter

THANK YOU

martin sturm, sylke rosenplaenter semantic network and ... · martin sturm, sylke rosenplaenter...

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