La conception innovante et l'Open Innovation : de l'établissement de l'état de l'art à l'innovation collaborative
Séminaire DIXIT
Jean-Louis Liévin
OI : CONTEXT
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A wider context
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2003
A wider context
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2003
A wider context
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2003
A wider context
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2003
A wider context
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2003
A wider context
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2003
A wider context
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2003
A wider context
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2003
A wider context
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Some common features…
Globalisation
Decentralization
Collective intelligence IT technologies
Data proliferation Complexity
Speed
Disruptions
…
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OI : EXAMPLES
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The e-Innovation Platform
Case 1 : faster product design & development
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Solution
The platform allows to quickly identify and assess 5 options. They have been envisaged after
contacting academic experts who helped refining and shortlisting industrial companies that were contacted and evaluated. A German SME
specialised in Roller Coaster was selected as they could adapt their technology to the requirements at minimum cost.
Benefits
The selected partner was capable of imagining and adapting its solution in 6 months whereas a fully developed solution or other adaptations would have taken several years. The main benefit is a differentiated and cheaper solution that will put our client in a strong competitive position to address new market opportunities.
Situation
An international industrial company is looking for a contactless braking system capable of decelerating and stopping very heavy vehicles. Impact of the braking system on the vehicle should be kept to
minimum, with the active part being as much as possible attached to the soil.
The e-Innovation Platform
Case 2 : a new fabrication method
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Solution
The platform accelerates the discovery of new state-of- the-art grinding, lapping but also polishing or nanometric machining techniques. A satisfactory solution, significantly improving the speed of the process while preserving the integrity of the medical instrument, is proposed by a Korean expert specialised in Mechatronics.
Benefits
The selected partner adapts a low-damage, new fabrication technique conceived for ceramic balls to the problem; the return on investment on the new tooling is coming from the gain in the production quality (lower default rate) and the reduced production time as less steps are needed in the process.
Situation
A small innovative company producing precision medical instruments is looking for an effective method of producing them in volume. The method must allow the removal of ceramic, glue and stainless steel with no damage to the ceramic. Current known processes from the company (grinding, lapping) are either too slow or are causing unacceptable defects to the instruments.
The e-Innovation Platform
Case 3 : optimising the cost of a service
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Solution
The platform instantly discover experts who have worked on similar problems in different industry sectors. A spanish expert team having worked on several Network
Optimisation problems applied to telecommunications and transport using Petri Networks approach are able to
produce a first mock-up within weeks and a fully working software package within a couple of months
Benefits
The selected partner is detected within one day and brings instant expertise in problem
formulation and state-of-the-art software algorithms and design. This allows to quickly explore very different exploration scenarios. The client is capable within a couple of months to make decisions regarding exploitation scheme that have major implications on investment decisions, cost of exploitation and customer satisfaction.
Situation
A major industrial company is looking to quickly simulate various exploitation scenarios of packets to be transported from nodes to nodes using conveyors. Nodes are connected through circuits, which might be inter-connected with switches. When not in use, conveyors are ‘idling’. The software package is expected to help define the best exploitation scenario.
An extension to rapid transit network design problem 237
Fig. 1 Test network R1
Fig. 2 Test network R2
The user private cost matrixUwpriis defined by the matrixUpri:
Upri=
− 1.6 0.8 2 2.6 2.5 2 − 0.9 1.2 1.5 2.5 1.5 1.4 − 1.3 0.9 2
1.9 2 1.9 − 1.8 2
3 1.5 2 2 − 1.5
2.1 2.7 2.2 1 1.5 −
.
The second, larger network has also been defined and labeled R2. The network R2 has 9 nodes and 16 edges. The network R2 is equal to network R1 but only after deleting the nodes 7, 8, and 9, and their adjacent edges. The network R2 is ploted in Fig.2.
As in R1, in R2 each nodeihas an associated construction costciand each edge ijhas a pair (cij, dij) of weights: the construction costcijand the distancedij(which is also used to define the generalized cost to assign an edge to the public network).
FROM KNOWLEDGE TO INNOVATION
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From Knowledge to Innovation
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Innovation Need
From Knowledge to Innovation
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Knowledge Innovation
Need
From Knowledge to Innovation
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Knowledge Innovation
Need
New Ideas
From Knowledge to Innovation
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Knowledge
Experts Innovation
Need
New Ideas
From Knowledge to Innovation
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Knowledge
Experts Innovation
Need
New Ideas
Conclusion(s)
• Open Innovation : fait partie d’un mouvement plus large
• Innover mieux et plus vite en s’appuyant sur l’état-de- l’art
• Nouvelles démarches, nouveaux outils
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