DEPLOYED SOLUTIONS

IoT

DATA-DRIVEN SOLUTIONS & SERVICES FOR PRODUCTS

IoT is about connecting things, extracting data, contextualizing it and make data-driven decisions. This particularity allows to create new data-driven services and monetize them (by reducing operational costs or selling the new service).

We have created dozens of solutions since 2012 for our customers in order to:

MONETIZE DIGITAL SERVICES around the products, creating a new revenue stream for the company.

REDUCE COSTS thanks to remote access to the assets, monitoring performance, alarms, historical use and saving from deploying people for actions that can be done remotely or auditing its use for warranty management.

IMPROVE QUALITY IN PRODUCT DESIGN thanks to remote monitoring of the actual use done by product end users.

Following the most common solutions we created aligned with the different steps of the product status, from unconnected to servitization:

CONNECTED PRODUCTS SERVICES (access to products data)

Maintenance based on actual use
Asset traceability
Energy Efficiency based on actual equipment control
In-Warranty Management
Remote Delivery and End User process Management (industrial processes)

INTEGRATED PRODUCTS SERVICES (Integrated with IT Systems)

Automatic billing
Autonomous Management of Consumables
Intercompanies logistics
Intercompanies services
Product Life Cycle Management
Spare Parts production based on Field Products actual situation

SMART PRODUCTS SERVICES (Using Advanced Analytics (AI/ML))

Predictive Maintenance
Predictive Production outcomes

PRODUCTS SERVITIZATION (New Business Model)

Pay-per-Use
Pay-per-Outcome
Hardware-driven Digital Services

STAGES OF IoT

DEFINE IoT BASED SERVICES FROM THE 3RD STEP NEEDED IN THE “STAIRWAY TO HEAVEN OF DATA-DRIVEN SERVICES FOR A PRODUCT MANUFACTURER”. A CONNECTABLE PRODUCT IS NOT IoT.

INDUSTRY 4.0

ACATECH’S INDUSTRY 4.0 MATURITY INDEX CHART

We deliver solutions for Industrial application of data-driven decisions taken. While every consultant tries to re-define the Industry 4.0 concept, we use the definition from the original source: Acatech (co-creator of the concept for the German Government).

Industry 4.0 definition is not based on technologies to be used but on what to do with the extracted data. This is the only single thing all factories look for.

TO REDUCE COSTS by having a complete visibility of what is happening in the factory and crossing the data extracted from there with the rest of IT systems, also applying advanced analytics up to the self-optimizing process of the Company. This process will dramatically drive customers to a complete hyper-performance of their operations, acquiring an inimitable competitive advantage in the use of time, raw material, processes and people.

Many people mix up “Digitalization” with “Industry 4.0”. A simple way to diferenciate them is the technology they use: while Digitalization is based on the use of SCADA, MES and ERP integration….

… INDUSTRY 4.0 is about data and uses IoT, Big Data, Business Intelligence analytics and AI/ML as main technologies. A unified namespace is created in order to allow it, where every system is decoupled and easily exchangeable.

VISIBILITY (what happens?)

Industrial Data Lake – Unified Namespace
Equipment Maintenance based on actual use
Production traceability
Real time adaptation of production to customer or supplier changes
Production status information shared with suppliers & customers in real-time
Remote access to production information
Single Factory Management Report
Energy Efficiency Management based on Equipment control

TRASPARENCY (why happens?)

Big Data analytics bring in contextualized data to previous solutions giving deeper understanding of hidden interactions among systems.

PREDICTABILITY (what will happen?)

Predictive maintenance
Predictive OEE

ADAPTABILITY (how can autonomous reaction take place?)

Unified Data-Driven Recommendation System