PLM Book
Guide into Product Lifecycle Management implementations and technologies
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Why PLM Book?
Data
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Implementation
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1 : Why PLM Book?
1.1 : PLM mirage
1.2 : How I ended up writing a book about PLM
1.3 : How to answer the question – what is PLM?
1.4 : You’re doing PLM every day, but call it differently
1.5 : 1’000’000 words about PLM
1.6 : PLM and simplification
2 : Data
2.1 : Data is a fundamental part of PLM system
2.2 : It all starts from data or data model
2.3 : What is right data model for PLM?
2.4 : Modern trends in data modeling and databases
2.5 : Typical elements of PLM data:
2.5.1 : CAD and Design Data
2.5.2 : BOM, Multiple Bill of Materials
2.5.3 : Project Data
2.5.4 : Product, configuration, portfolios
2.5.5 : Product requirements
2.5.6 : Manufacturing data and ERP systems
2.5.7 : Supply chain data and sourcing connection to PLM
3 : Process
3.1 : Companies are run by processes. Product development is not different
3.2 : PLM, workflows and product development processes
3.3 : Top 3 processes supported by PLM systems today
3.4 : NPI / NPD processes
3.5 : Configuration management (from identification to BoM)
3.6 : Change management
3.7 : How to map organizational process?
3.8 : Processes, performance and monitoring
3.9 : Compliance and regulation
3.10 : Quality processes
3.11 : Data vs. Process – what comes first and why is it important
4 : Implementation
4.1 : Technology is easy. People are hard.
4.2 : PLM is a technology connected to people.
4.3 : This is called implementation.
4.4 : How to plan PLM implementation?
4.5 : One big bang or staged process with milestones
4.6 : ROI debates
4.7 : Installation, setup and IT
4.8 : Configuration vs. Customization
4.9 : Data modeling
4.10 : Coding
4.11 : SQL hacking
4.12 : What cloud changes in PLM implementations
5 : Integration
5.1 : PLM cannot live alone. It must be integrated into organization
5.2 : There are two elements of integration
5.3 : – Integration w/ people
5.4 : – Integration w/ people
5.5 : Main categories of integration
5.6 : – CAD, CAE, etc.
5.7 : – Catalog and standard libraries
5.8 : – ERP / MRP
5.9 : – Manufacturing processes
5.10 : – Multiple PLM systems
5.11 : Other enterprise systems
6 : Five lessons I’ve learned about PLM
6.1 : 1 – PLM 1987 – people are still working that way
6.2 : 2 – People can stabilize any PLM technology
6.3 : 3 – Connect PLM to the right data
6.4 : 4 – PLM implementation titanic
6.5 : 5 – It takes 10 years to adopt PLM technology
7 : The route beyond PLM
7.1 : Traditional PLM reached their limits
7.2 : Today’s tools are not tomorrow platforms
7.3 : PLM sucks in SME
7.4 : What changed in enterprise?
7.5 : Who will survive cloud migration ?
7.6 : Enterprise stuck between single platform and federation
7.7 : Who will build PLM for kickstarters?
7.8 : Single database won’t work
7.9 : From sync to data link
7.10 : Manufacturing changes
7.11 : Enterprise changes
7.12 : New functional breakdown between enterprise software
7.13 : System = mechanical+electric+software
7.14 : Small is a new big
7.15 : Collaborative economy
7.16 : Manufacturing in a network era
7.17 : OSHW
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8 : Summary: 10 open ‘how’ questions about PLM
8.1 : 1 – How to speed up adoption of new PLM platforms and apps?
8.2 : 2 – How PLM industry can learn to share data?
8.3 : 3 – How to create an open PLM platform?
8.4 : 4 – How to expose PLM values to all organization
8.5 : 5 – How to disconnect PLM from Excel
8.6 : 6 – How to make PLM more affordable
8.7 : 7 – How to scale up PLM implementation process
8.8 : 8 – How SME can discover PLM value
8.9 : 9 – How to develop PLM beyond single company
8.10 : 10 – How to align PLM with ERP
Appendix 1: How to buy PLM?
Appendix 2 : How to sell PLM?
Uncategorized
written by
Oleg Shilovitsky
8.5 : 5 – How to disconnect PLM from Excel
October 8, 2015