innovativeproduct service design using solution clusters for digital shopfloor management (airbus)...
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ICE 2015‐ProRegio Project Overview
Dr. Nikolaos PapakostasLaboratory for Manufacturing Systems and Automation (LMS)
Director: Prof. G. ChryssolourisUniversity of Patras
Innovative Product‐Service design usingmanufacturing intelligence
Motivation – Challenges in production
New consumers often require very different
products to meet their needs, with
different features, quality and price pointsLocations of production
facilities are following markets taking
advantage of competitive input factors
New forms of intelligence, such as big data and the use of data-gathering sensors in production machinery and in logistics (the so-called Internet of Things) offer new production potentials
Customers in more established markets are demanding more variety and faster product cycles
Growth opportunities in the domestic market decrease while demand in
emerging economies rapidly increases
Increasing specialisation of
locations regarding markets, products or
processes
Additional and adapted production capacity distributed over the whole production network is needed to fulfill increasing and varying customer demand
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Manufacturing Industry
ICT-Enabler
Research Institution
Aeronautics Machinery DomesticAppliances
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Partners - Function
Partners - Origin
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Germany KITAirbus Flexis Texxmo
Karlsruhe Hamburg Stuttgart Boeblingen
France ECNAudros
Nantes Lyon
Italy POLIMIComau ES
Milan Grugliasco Trento
Greece LMSGrobo
Rio Patras Athina
Turkey Arcelik Istanbul
Research questionsHow can customers be integrated in the innovation process?What kind of interdependencies exist between product structure and production capabilities? How can production systems efficiently be adapted to regionally differing products?What is the optimal customer-oriented design of production systems and of production networks? How can cyber-physical systems enable the ad-hoc (re-) scheduling of orders in production networks?
ObjectivesEnable globally operating companies to efficiently deliver innovative, customized products by using their globally distributed production network to meet strongly differing regional requirements regarding product design and functionality of their globally distributed customers
Integration of customer in the product development process allowing for an efficient incorporation of strongly differing customer requirementsDevelopment of integrated product and production adaptions regarding site-specific conditions and technology optionsInnovative product-service design by incorporating customers in the order-fulfilment processes Optimal design of production systems and allocation of production processes to production sites including a decision support for ad-hoc (re-) scheduling of customer orders
Customer-driven design of product-services and production networks to adapt to regional market requirements
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Research questions and objectives
Proposed benefitsImprovements in production performance
Reduction of production costs Shortening of throughput timesImprovement of delivery reliability through more transparent production processesShorten time-to-market of customized products/ services
Increasing the attractiveness of companies …by offering new added value services that make their products more attractive (e.g. more individualized products and shorter time to market) to different customers segments especially for emerging regionsby increasing customer satisfaction by providing more “power” to the customer comparable to effects ofsocial mediaby increasing supplier loyalty by even stronger integration into the order fulfilment processby increasing ability to export into emerging countries all around the world and in doing so the project willhelp to stabilize EU’s exports
Proposed benefits of ProRegio are expected to increase the attractiveness of European companies for customers from all around the world
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Benefits and impact
Cyb
er-p
hysi
cals
yste
ms
Enabler
Customer Product
Production Network
Production system
Strategic planning of production networks and
systemsRe-design of production networks and systems
Methodology for integrative design of product and production systems
Methodology to embed direct customer
involvement in the order-fulfilment process
Design of customer-oriented
products for frugal1 innovation
71) Frugal innovation can be defined as the process of reducing the complexity and cost of a good and its production.
Overall concept
Tools, usages and interactionSoftware primary relationship to use cases
Design and Simulation Influence Execution Influence
Customers
Suppliers
PLM Platform (Audros)
Customer data
Design data
Manu‐facturingdata
Docu‐ments
Technical data
Plant data & Orders
MES data
ProductionProcessdata
Network data
Virtual Factory (Polimi)
Knowledge
Connector
RuleStream (Polimi)
Knowledge
Connector
Mod‐frontier
(Engin‐Soft)
Knowledge
Connector
Prod. Planning(flexis)
Knowledge
Connector
Artificial / human CPS (Texxmo)
Knowledge
ConnectorPortal Portal
Production network support
tool (LMS)
Knowledge
Connector
Prod. Network
Design (KIT)
Knowledge
ConnectorConnector
System Conf/Opt(Polimi)
Knowledge
Use Case 1
Use Case 2
Use Case 3 main application
main application
main application
Product-Service aspects and business & financial models
ProRegioPlatform
Operator
Maintenance Expert
Operator wears AR glasses and
informs about the problem.
Provides info of the broken down machine and transmits the video captured from the AR
system
Adds annotations/ pictures and voice content on the real‐time video image
All the content is being integrated and displayed to the operator’s screen
Machine Breakdown in Factory’s
Production Line (Arcelik)
Operator Guidance through ProRegio Platform’s Integrated Augmented Reality System
Cyber Physical Systems, Internet of Things
Track location (with RFID, GPS, ...) of components, material delivery unit (MDU), tools, aircrafts
Extract status‐information from IT systems (Ground test instructions, takt orders, planned and acknowledged work orders, …)
Monitor tool usage (detect usage, count drilling/riveting, measure paint consumption, …)
Image processing (installation of cabin, vertical/horizontal tail plain, …)
Note: extra benefit is generated by linking the different solutions into a single network
Potential Solution Clusters for Digital Shopfloor Management (Airbus)
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Arcelik Use Case
Design of a Refrigerator following Frugal Innovation Approaches and AugmentedReality Tools for Receiving Customer‘s Feedback followed by Supplier‘s NetworkMultiobjective & Automated Design and the Prompt Reconfiguration of the Networkin case of Supplier‘s Failure. Finally Remote Maintenace Approaches will be utilizedfaciliated by Augmented Reality.
25,000 employees Consolidated net sales in 2014 : 4,307 million Euros 10 brands Operating in 26 countries 15 production plants in 6 countries* (China, Romania,
Russia, South Africa and Turkey) Products and services in more than 130 countries
Production, marketing and after-sales services of consumer durable goods, consumer electronics
and components
Airbus Use Case
144,000+Total workforce
€690billionOrder book
€59billionAnnual revenue
Production network:Optimization of type‐allocation and order‐allocation to different FALs by …
specializing local production processes with respect to aircraft configuration utilizing differing local production capabilities (e.g. lead‐time, cost, …) in terms of standardizing/ specializing production lines where beneficialbalancing of workload and lead‐time through a/c sequencing
Customer link:Improve IT link between customer and production to increase customer integration into the production process
Digital shop floor management:Enhance real‐time acknowledgement of work order status and disturbances in the production processImprove real‐time visibility of partsEnhance real‐time quality control
Comau Use Case
Need to manage globaloperations with growingdemand in emergingmarkets
Lack of a shared toolamong design engineers
Lack of explicit technicalknowledge – skill gap
Highly integrated designtool for better decisionmaking
Improve knowledgesharing and reuse acrossdepartments
Reduce Time, Cost andErrors
System Integrator and Manufacturing Equipment Provider Engineering-to-Order of Automotive Production Equipment
Cross Collaboration with other Projects
• Development of common digital models of customers, suppliers, product, process, resources employing semantic modelling approaches (ICP4Life)
• Investigation of novel business models for product‐services in the context of remote maintenance (Sense&React)
• Increase visibility at shopfloor employing IoT with real time asset tracking tools and embedded sensors (Sense&React)
• Joint Dissemination, Exploitation and Innovation activities