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Smart Factory Platform

"Netflix for industry" - Industry 4.0 apps are available as
microservices on a cloud platform by subscription

Your digital ecosystem for smart factories

Without agility and flexibility, companies have no chance in the digitalised economy. For manufacturing companies, too, the world is spinning faster and faster: shorter development cycles, increasingly complex production processes, massive competitive pressure. They are forced to keep increasing their efficiency and productivity.

Your digital ecosystem for smart factories

With the Smart Factory Platform, msg Plaut is now providing industry with an IT marketplace that allows companies to purchase agile individual solutions that can be implemented quickly depending on their acute needs and thus keep their production processes up to date at all times.

Do you have any questions?

Stefan Klinge msg Smart Factory

Stefan Klinge
Business Development Automotive

Contact expert!

The 5 biggest challenges facing the industry


2020 brought massive losses, but the current figures are optimistic.
Nevertheless, the situation remains volatile (Covid 19 mutations, climate change).

  • Agility and flexibility are essential to remain marketable.

 

Cloud-based and digitised offerings:

  • greater work efficiency
  • stronger customer demand through modern offers
  • increased revenue through freemium offers
  • greater choice through new technologies

Cybercrime on the rise:

  • Investments for security measures are well spent

 

New business models and fields as well as new ideas make a company fit for the future and for everything else the market has in store - nationally as well as internationally.

  • Many potential cooperation partners are young, agile and broad-based
  • Bundling and exchange of know-how strengthen own expertise


The requirements for companies in the area of environmental protection are becoming more and more stringent (also internationally).

  • Only companies that do their part to protect the climate can survive in the long term.
  • Competitive advantage through the use of new technologies for sustainable production and materials, CO2 offsetting or better working conditions

 
European companies are coming under enormous price pressure from Asia and the USA.
Here it is important to create one's own niches and balance this pressure with other assets.

  • Brings positive differentiation from the competition
  • USP with added value for a customer base that remains loyal despite the possibly higher price structure

Digital manufacturing is the answer

Globale trends

  • Global availability of products and services
  • Local manufacturing & value creation
  • High flexibility to follow changing policy frameworks
  • Maximum and continuous cost optimisation

Quickly implementable, applicable use cases

  • Data-​centric production architecture
  • Reduction of waste and continuous process optimisation with early warning systems
  • Use of digital services from suppliers and partners for own process optimisation
  • Increase OEE through better employee communication and transparency

Transformation thanks to the Smart Factory platform.

Many companies deal with digital manufacturing, but do not manage to roll it out on their own. msg Plaut supports you in your transformation thanks to the Smart Factory platform.

  • One open platform for the rapid deployment of AI-​based apps for production and logistics, directly usable and quality-​assured from the Microsoft Azure Marketplace.
  • Intelligent Apps for a Data Driven Enterprise
  • High transparency and flexibility in the manufacturing processes through Smart Analytics and early warning systems
  • An ecosystem for "smart factories"

All advantages at a glance

  1. Minimum effort for digital lean manufacturing processes
  2. Maximum flexibility through modular system
  3. Transparency in production
  4. Acceleration of the product launch
  5. Reduction of the error rate
  6. Increasing the overall system efficiency

msg Smart Factory Platform - „Netflix for the industry“

The Smart Factory Platform Ecosystem

Sfp Path Digital Manufacturing

Sfp Path Digital Manufacturing

  • Use SFP as a blueprint for your own digital manufacturing architecture
  • Continuous expansion
  • Extraction and use of data for own digital services

Sfp End2end Innovation

Sfp End2end Innovation

  • Joint development of new use cases
  • Validation of the use cases via the SFP marketplace
  • Use of ideation and collaboration platforms
  • Co-selling via the SFP

Sfp Usecases

Sfp Usecases

  • More than 15 Digital Manufacturing Use Cases
  • Use cases directly from the Azure Marketplace
  • Minimal installations are required
  • Security by design

Sfp Usecases

Sfp Usecases

  • Automatic provisioning
  • Smart Analytics and Prediction
  • Virtual Production Reality
  • Micro Services
  • API management

Use Cases for the Smart Factory Platform


Initial situation


Description


Benefit

  • In the production line, errors at the workstations are often not documented
  • OEE increases without transparency about the backgrounds
  • Interrelationships of errors are often not recognisable
  • Information is not transferred to the control loop

  • Mobile and web applications for the documentation of errors in production, as well as for error exchange.
  • Early warning system to avoid errors

  • Predictive Quality Assurance enables rapid transparency of errors in the production process
  • Higher transparency
  • Faster resolution of errors
  • Avoidance of errors through an early warning system
  • Sustainable increase in OEE


Initial situation


Description


Benefit

  • Lack of transparency about the value streams in the production process
  • Non-recognition of optimisation potentials
  • Unrecognised costs and hidden DB losses

  • AI-based process mining of manufacturing processes based on events between the plants, MES and ERP systems.
  • Highlighting cost savings and a value stream for process optimisation.
  • Comprehensive dashboards

  • Immediate transparency of value stream processes in the production process
    The basis is exchanged interface information

     

 


Skill inventory


Competence model


Search


Interest & Staff Development

 

Overview & adjustment:
skill data

Overview & adjustment: competences and
market changes

Profiles, jobs, tasks & experts

Gap / Potential Analysis
Talent development

Changed
Market demand

High transparency on human capital,
permanent
changes in skill requirements and structures

High transparency and
fast matching of competences to market needs & trends

Quickly finding correct internal / external skillset, team, task or expert with suitable availability.

Active gap analysis and staff development, consideration of learning interests, active offer of trainings

Challenges in Human Capital Management

Rigid skill data structure, distributed data sources with different
data formats

Lack of a unified competency model and constantly updating ontology

Often manual,
lack of data for optimal job/task/expert matching, lack of transparency to external sources

Lack of merging of hard, soft skills & learning interests, lack of linkage with training provision.

 

Benefit

  • Analysis of the job roles of the employees necessary for the production processes
  • Comparison with the existing skills model and market requirements
  • Identifying ways to close the skills gap

Use Cases für die Smart Factory Platform

Predictive Quality Assurance

Initial situation

  • In the production line, errors at the workstations are often not documented
  • OEE increases without transparency about the backgrounds
  • Interrelationships of errors are often not recognisable
  • Information is not transferred to the control loop

Description

  • Mobile and web applications for the documentation of errors in production, as well as for error exchange.
  • Early warning system to avoid errors

Benefit

  • Predictive Quality Assurance enables rapid transparency of errors in the production process
  • Higher transparency
  • Faster resolution of errors
  • Avoidance of errors through an early warning system
  • Sustainable increase in OEE

predictive_quality_assurance_uc1_grau.jpg
predictive_quality_assurance_uc2_grau.jpg
predictive_quality_assurance_uc3_grau.jpg
Value flow analysis
AI-based employee development and scheduling

Examples of other use cases

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