Promoting Training & Performance Support Analytics @ the manufacturing workplace The Manufacturing Training Analytics (Man.Tr.A.) Maturity Model for Lace Project Fabrizio Cardinali, Chief Strategy & Marketing Officer sedApta Group, smart manufacturing made easy www.sedApta.com EDEN Annual Meeting 2014, Zagreb #laceproject EU Grant Nr 619424
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Lace project transforming workplace learning in manufacturing printable
LACE Project presentation on Manufacturing Training & Upskilling at the European Distance Education Conference in Zagreb, June 2014 by Fabrizio Cardinali, sedApta Group
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Promoting Training & Performance Support Analytics @ the manufacturing workplace
The Manufacturing Training Analytics (Man.Tr.A.) Maturity Model for Lace Project
•Crowd sourcing •Engineer to Order•Configure to Order•Produce on Demand•Make to individual
3d printing
•New materials•Additive/subtractive•Produce on demand
Transformation Need
4
Transformation Strategy(New Plants, Processes, IT Tools and Skills)
Need to Transform
Cost Competition
Shift from fixed to variable
costs
Speed to Market
Low Cost Sourcing
Innovation
Market Access
Demand Volatility
Globalization
Ottimizzazione inventari
New Key
Performance
Indicators (AGILITY)
The «as is» manufacturing industry
5
Today Manufacturing Companies are:
• SILOED, having often hundreds of software applications installed, extending the gaps of central EnterpriseResource Planning (ERP) infrastructures
• UNIQUE, having often hundreds of procedures, tasks and processes redefined every time for single plants andproduct lines activations
• UNDER PRESSURE having the need to evolve their operations towards a demand driven value network(DDVN).
“New paradigms are needed if manufacturing is to keep pace with thecomplexity of a DDVN. It requires a fundamental rethinking of business process flows, application architectures, delivery and support models as well as the required performance measurements.”
Source: Manufacturing 2.0: A Fresh Approach to
Integrating Manufacturing Operations With DDVNSimon F Jacobson, Leif Eriksen, Phanney Kim, Gartner Research 2010
The «to be» manuafcturing industry
6
Process Driven Echosystem
Tomorrow’s Manufacturing Companies need towards a Demand Driven Value Network of providers & suppliers :
• Integrate Process & Data in the Supply Chain
• Enable Orchestration, Collaboration, Intelligence& Up skilling of the supply chain stakeholders
• Redesign & standardise processes towards newDD production models (e.g. configure to order,engineer to order, make to individual, produce ondemand)
“According to Gartner's 2013 CIO Survey, nearly one-third of CIOs are also chief process officers, tasked with driving process transformation programs for their enterprises. 47% of them rank multi site process standardization as top of their priority list. ”
“Promoting Training & Performance Support Analytics @ the manufacturing workplace. The Manufacturing Training Analytics (Man.Tr.A.) Maturity Model for Lace Project”
by Fabrizio Cardinali
was presented at EDEN Annual Meeting 2014 on 12 June 2014
This work was undertaken as part of the LACE Project, supported by the European Commission Seventh Framework Programme, grant 619424.
These slides are provided under the Creative Commons Attribution Licence: http://creativecommons.org/licenses/by/4.0/. Some images used may have different licence terms.