Unlock potential, mitigate risks, and drive real results

Step 1: Define the question

Our approach for all our projects starts with a client question.

Step 2: Understand the business & data

Before analysis begins, we take time to understand the client’s business context and data landscape. This step is crucial to ensure relevance and accuracy.

Step 3: Analyse & model

We perform data analysis to generate initial insights. Depending on the client’s needs, we then build simulation models or digital twins to explore possible solutions.

Step 4: Create tools

Based on the insights and models, we develop tools that support better decision-making.

Step 5: Integrate

Finally, we integrate these solutions into the client’s environment for practical use.

 

Driving innovation and precision in advanced manufacturing solutions

In today’s world, there is no shortage of generated data. In fact, MES systems can easily overwhelm an analyst with information and still fail to provide the desired insights. Manufacturing Intelligence gives customers direction by combining valuable feedback with available plant data. This creates insights to take the right steps forward as an organisation. When data is not available, time studies are conducted to surface and structure critical processes. Using data as a starting point, Manufacturing Intelligence creates analyses, simulations and even digital twin services to get the most out of the customer’s production or logistics process.

More about us

10% Higher equipment utility

Have 10% higher equipment utility with Manufacturing Intelligence

7% Cost reduction

Save 5–7% monthly in costs with a digital twin by redesigning production scheduling and slashing overtime

30% Faster launch

Speed up new launch by 30% with Manufacturing Intelligence

20% More productivity

With the Manufacturing Intelligence program it can give you a 20% productivity boost

Driving innovation and precision in advanced manufacturing solutions

In today’s world, there is no shortage of generated data. In fact, MES systems can easily overwhelm an analyst with information and still fail to provide the desired insights. Manufacturing Intelligence gives customers direction by combining valuable feedback with available plant data. This creates insights to take the right steps forward as an organisation. When data is not available, time studies are conducted to surface and structure critical processes. Using data as a starting point, Manufacturing Intelligence creates analyses, simulations and even digital twin services to get the most out of the customer’s production or logistics process.


10% Higher equipment utility

Have 10% higher equipment utility with Manufacturing Intelligence

7% Cost reduction

Save 5–7% monthly in costs with a digital twin by redesigning production scheduling and slashing overtime

30% Faster launch

Speed up new launch by 30% with Manufacturing Intelligence

20% More productivity

With the Manufacturing Intelligence program it can give you a 20% productivity boost

 

Our specialisations

Digital twins

Digital Twins are digital duplicates of a factory. A company with a digital twin has live insights into a plant’s performance, material requirements and usage, efficiency of shared resources and bottleneck analysis. A digital twin service can be used to respond to daily fluctuations in the factory, such as unplanned maintenance, rework due to quality loss and OEE loss.

Simulations

Simulations are comparable to digital twin services, but simulations are easier to deploy and are more limited in their functionality. Simulations help with bottleneck analysis and investment recommendations. By testing an investment in a digital environment before implementation, a business case can easily be set up with data produced by the simulation.

Digitalisation roadmap creation

Data flow, accuracy, and integrity remain challenges for many companies. With the digitalisation roadmap, we help a customer move towards a structured information architecture, with a central data warehouse where all data is collected. Systems such as ERP solutions, MES and WMS are central to this approach and will communicate seamlessly upon completion of a digitalisation project.

Siri assessments

Smart Industry Readiness Index helps companies steer their digital transformation. It identifies the digital maturity of the organisation, prioritises investments and creates a personalised roadmap for success.

A SIRI assessment begins with an onboarding call to determine the assessable part of the production environment. This is followed by two workshop days, during which our SIRI assessors provide an explanation of the methodology, assess your factory and assign scores over 16 dimensions. Each dimension represents a part of the industry 4.0 landscape. After analysis and discussion we prioritise, based on a mathematical model that takes company KPI’s, competitors and financials into account. A few days later, you will receive the complete report, including advice for the prioritised dimensions.

 

 

Discover the right solution for your challenge

Let’s connect and explore how we can support your manufacturing goals

 
 
 

Collaborations we are proud of


 

Optimise with confidence: your Manufacturing Intelligence questions answered

How long does it take to create a digital twin?
This depends on a company’s complexity and size, as well as its Smart Industry Maturity (see SIRI). Nobleo has templates to set up digital twins for flow shops and job shops which could make this process achievable in a few months.
In what kind of environment do you create simulations?
Depending on the purpose of the model, we make a visual or a data-driven simulation model. We create data-driven models in python. Visual models are usually created in Enterprise Dynamics.
How is knowledge of a digital environment secured?
During development, we acquire a lot of knowledge of a customer. Due to turnover, there is always a risk of knowledge being lost, which is why we set up an SLA with customers to ensure support for the tools created over the years.
How is a simulation model validated?
It depends on which systems are used to generate factory data, as this data can be aligned with the simulation model for comparison. Ideally, we analyse timestamps for each action between simulation and reality, eliminating or minimising the difference. If detailed data is not available, we will use the data that is available and analyse sub-processes. We always create a visualisation of the simulated processes, so that movements and processes can be tracked in accelerated or decelerated mode.
 

I’m here to help you find the role that fits your talent and ambition.

Berend Steenhuisen Project lead Manufacturing Intelligence

Let’s Optimise Your Business!

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