Smart Factory and Efficient Engineering 4.0 Maximilian ... · Smart Factory and Efficient...
Transcript of Smart Factory and Efficient Engineering 4.0 Maximilian ... · Smart Factory and Efficient...
Comprehensive solutions are our responsibility.
Efficient engineering is our mission.
Optimised engineering processes are our promise.
Smart Factory and Efficient Engineering 4.0 Maximilian Brandl, CEO EPLAN, March 20th, 2015
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Agenda
Introduction – Engineering 4.0 1
Three major levers 2
Implementation and summary 3
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EPLAN is part of an internationally successful group
F.L.G. global group: > 11,000 employees worldwide
> 2.0 billion euros (in 2013)
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Friedhelm Loh Group (F.L.G.)
Friedhelm Loh, Owners of the Friedhelm Loh Group
As a TOP employer, F.L.G offers a multitude of vacancies worldwide
EPLAN Software & Service More than 700 employees worldwide
Around 45,000 customers and 110,000 installations
Software in 17 languages and 50 countries
The enormous relevance of engineering...
Efficient Engineering 4.0 | Maximilian Brandl | March 20th,2015
Proportion of overall costs determined in engineering
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...also for Industry 4.0
~ 5% ~ 10%
~ 70%
~ 5% 0
Source: www.dasWirtschaftslexikon.com „Konstruktion“
~ 18% ~ 7%
~ 54%
~ 28%
~ 3%
50
100
Prime costs [%]
Construction development
Production preparation
Production Materials logistics
/suppliers
Distribution/ admin.
Incurred costs (allocated)
Determined costs, partially controllable
The relevance of engineering/development/construction is extremely high. Engineering is an innovation driver and job generator
PDM/Big Data
a. Networking with neighbouring engineering disciplines: -> Mechatronics
b. Networking along the value chain across the whole life cycle: -> Integrated value chain
c. Combination with the relevant product data: -> PDM/Smart Data
Three main levers...
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...each with extremely high potential
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Work preparation
Construction/engineering
Order entry
Production
Operation/service Mechanical Electrical
Software
Mechatronics
Agenda
Introduction – Engineering 4.0 1
Three major levers 2
Implementation and summary 3
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Mechatronics a.
Integrated value chain b.
PDM/Big Data c.
Mechatronics: Interdisciplinary engineering Comprehensive view of a product
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Five different disciplines need to "collaborate" in this project
Typical sequence x
1
3
4
2
5
Example: Mechatronic Bill of Material
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M - Product structure Machine
- Motor
- Switch
- Switch
-M1 motor
-S1 switch
-S2 switch
E - Product structure Machine
Mechatronic collaboration – how?
?
Completely symbolic representation Each component with EIS
(equipment identifier) Unique connection points (terminals) Functional relationships determined with EIS
Physical representation Symbols for simplifying work Position numbers and collective BoM Manufacturing and assembly focus
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Electrical engineering
Mechanical engineering
?
A holistic view - consisting of M and E components must be developed, including product functions and features
Goals of mechatronics
What are the potential benefits of mechatronics?
Significant expansion of the "solution space"
Consistent reuse of mechatronic components
Mechatronic configuration / variant configuration
How do I implement mechatronics?
Consolidated BoM with unique description and central administration
Parallel and synchronized engineering processes
Mechatronic requirements management
Mechatronic change and approval processes
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Very extensive changes are necessary in internal processes and in the tool landscape, too
Mechatronics will be enabled by a joint PDM / PLM system
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Data exchange CAD/authoring systems – PDM /PLM: the first step
Siemens NX EPLAN PTC Creo EPLAN EPLAN MCAD ...
EPLAN Vault
Status, documentation and workflow management Product synchronisation Creation and updating of BoM
Project administration Change management Version control
Siemens PTC SAP/PLM Autodesk
In the first step, the PDM systems could develop into a "hub for mechatronics"
PLC collaboration also extremely relevant ECAD – PLC software date exchange
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PLC/BUS configuration PLC component data Rack design - BUS structure Wiring
Designation lists Layout of PLC connections Function texts PLC addresses
Bidirectional data exchange
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Mechatronics with extremely high customer benefits ECAD example with PLC
"With the EPLAN Electric P8 macro in the .edz format (EPLAN archived data
zipped) the time needed for data integration can be reduced even further (by up to
95 %). All product data necessary for project planning, ordering and
documentation is already contained in the exchange format and can be imported
in just a few clicks for as many order numbers as desired."
Christoph Hotz, Head of Marketing & Strategy, Industry Sector I IA CE, Siemens AG
"By using bidirectional interfaces between Rockwell Automation RS Logix 5000
and EPLAN Electric P8, our customers save up to 50% in the development of
'advanced PLC control Solutions.'"
Steve Pethick, Director for Components and Safety Business EMEA, Rockwell Automation
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"Revolutionary" high saving of >50% with ECAD-PLC interfaces!
Agenda
Introduction – Engineering 4.0 1
Three major levers 2
Implementation and summary 3
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Mechatronics a.
Integrated value chain b.
PDM/Big Data c.
Integrated value chain – "downstream potential"
Planning & configuration
Detail engineering
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Upstream
Technology engineering
Production planning
Manufacturing & assembly
Operation & service
Downstream
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Over the product life cycle
Seamless flow of data
Example 1: EPLAN Fluid simulation interfaces
"Documentation supports simulation" (transfer of circuitry structures, technical component data)
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Interface
DSHplus
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EPLAN Fluid as data supplier for the external simulation tool "DSHplus"
Example 2: Heat pockets & hotspots in a switch cabinet
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Green Carbody Demonstrator project
Equipment with representation of heat loss Optimization potential in engineering
Representation of active components
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Amount of dissi-pation loss
Self-ventilation / component ventilation
Min. installation distances as per manufacturer's
guidelines
For the technologically correct installation of a virtual prototype, extensive manufacturer info for component data is indispensable.
Example 3: The F.L.G value chain
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From engineering to manufacturing of control cabinets
Averex
Rittal production knowledge
Rittal product knowledge
1. Cutting holes
2. Assembly of components
3. Automatic wiring
Perforex
Fully automated value chain from engineering to production of control cabinets
Example 4: Integration with operators Seamless workflow over complete product live cycle up to operations
Engineering Operators
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Production knowledge
Operation data Changes
Flow of information: New/other components Changes, updates Problem areas Maintenance information
EPLAN Viewer
Faster start-up without any "surprises" Additional help for maintenance personnel during downtime Optimum data quality during maintenance and modification by revision management Additional differentiation with regards to competing suppliers possible
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Engineering data
Continuous data exchange between engineering and after-sales service, documentation from "as built" to "as used"
Example 5: Direct data exchange with PLC
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Outlook – OPC communication during start-up
Online communication between EPLAN and PLC control/software via OPC UA as common language for data exchange Access to the PLC inputs and outputs via OPC UA
Visualising the status of I/O and sensors/actuators in the schematic diagram
Activating sensors in the schematic diagram with effect on PLC control
Validating the PLC control in combination with the schematic diagram
Outlook: circuit validation today not yet fully virtually enormous potential for the future Possible „quantum leap“ in collaboration between engineering and
operation with high potential benefits
Integrated value chain
Planning & configuration
Detail engineering
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Upstream
Technology engineering
Production planning
Manufacturing & assembly
Operation & service
Downstream
Seamless flow of data
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Over the product life cycle
Example 1: Configuration of components
Web configuration by EPLAN data via Endress+Hauser homepage
Endress + Hauser Configurator integrated into EPLAN data portal
Generation of EPLAN data with the EEC (commercial data, macros, data sheets)
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Web-based product configuration
Configuration of complex component combinations can be web-based and automated
Product configurator
EPLAN Data Portal
Process (e.g. special purpose machines) based upon „building blocks“
Engineering
Classical process for custom-made prducts:
Production 20% ETO
Production Marketing Engineering
100% ETO
80% CTO
Building blocks
Development
Construction Marketing
ETO … Engineering To Order CTO … Configure To Order
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Example 2: Mechatronic configuration of a plant
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CTO instead of ETO saves time, reduces costs and increases quality
Agenda
Introduction – Engineering 4.0 1
Three major levers 2
Implementation and summary 3
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Mechatronics a.
Integrated value chain b.
PDM/Big Data c.
Seamless information flow in product lifecycle Success factor – Digitalisation and virtualisation
Fluid & electro-engineering
Mechanical engineering
Preliminary planning
ERP/PPS
PDM
Component data data
Virtual layout
PLC programming Thermal design
Production Test - operation -service
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Appropriate component data necessary for all steps during product development lifecyle
Success factor: Completeness of component data
Logic information
Connection and wiring lists
Drawings, component and assembly lists
Assembly construction (3D macros)
Electrical macro for schematic diagramm
Data for ordering and disposition
Data for terminal mounting robots
Control of wiring robots
Master data with commercial information
3D data for analysis and optimization
Project & product documentation "as built"
Control of (NC) assembling machines
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ECAD MCAD PLC
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In some cases a total of > 100 data fields are required per item/component
EPLAN Data Portal ensures consistency
Online availability
> 480,000 items/components
72 manufacturers
17 languages
> 70,000 users
Simple "drag & drop"
Very fast engineering without discontinuities
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Strong demand – among customers as well as among component manufacturers
Agenda
Introduction – Engineering 4.0 1
Three major levers 2
Implementation and summary 3
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Summary "Engineering 4.0":
1. Complete virtual product development with complete virtual representation of the machine – without additional learnings in live operation
2. High level of flexibility via building blocks and standardization even for „segment of one“ – for the same price as the standard product
3. Cross-manufacturer and cross-system consistency – without media disruptions
4. Use of engineering data throughout complete product life cycle (service, modification, etc. ) – instead of only in the engineering disciplines
5. Ever increasing intelligence via network and self-learning systems – instead of only the original manufacturer's know-how
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We are already on our way in the new direction, but goals are far ahead
Let us join forces for this way into the future!
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Yesterday
Today
Tomorrow: "Industry
4.0"
Which topics should I address today? – discontinuously if
necessary ...?
…instead of running in the wrong direction?
"Reverse polation" instead of "extrapolation" from the customer's perspective