Manufacturing
Specific Data Science products and solutions for your industry
To support companies in a specific sector, it is important to fully understand them.
There really are many options for their transformation and innovation. Together, we design optimised pathways for growth and development in each industry. Solutions based on a knowledge of processes and typical requirements, which we meet using tools for Data Management, Analytics and applied Artificial Intelligence.
Var Group puts Data Science at the fingertips of manufacturing businesses. A range of solutions for manufacturing, which considers requirements linked to approaches such as World Class Manufacturing, Lean Production and Kaizen logic. We have developed product and solutions that can be perfectly integrated into Synchronised Planning, Smart Operations and Smart Supply settings, precisely because we understand the sector, its processes and the needs of those involved.
Synchronised Planning
Knowing how to plan in a way that is harmonised with the entire value chain is an art: it requires the ability to actively predict and model demand, optimise S&OP and MPS processes and the use of systems such as MES, align and make visible information and indicators throughout the supply chain, and plan materials, resources and capacities for the entire product life cycle. In such a complex scenario, Data Science is crucial for optimising Predictive Planning and Demand-supply balancing. With Artificial Intelligence, for example, it is possible to achieve accurate demand prediction ensuring on-time delivery, balanced production flows and customer and dealer satisfaction.
If you are looking for the solution to waste, stress and problems, even within the reach of an SME, Foresight is for you.
Smart Operations
In a scenario such as Smart Manufacturing, typical of Industry 4.0, there is a need for the integration of products and services through adaptive and responsive digital management, which connects all functions of Operations by regulating, synchronising and monitoring production-related aspects, substantially driving all related processes. Smart Operations brings together advanced manufacturing techniques with intelligent digital technologies to create an enterprise that is not only interconnected and autonomous, but also capable of communicating, analysing and using data to further promote intelligent actions in the physical world.
It's not magic, it's predictive quality: discover the power of Genius Warning.
To better serve companies in this context, we have developed an Artificial Intelligence application for predictive quality (useful to anticipate and nullify defects by perfecting the product). The use of Machine Learning algorithms in quality control allows us to accompany companies in a progressive elimination of human errors, identifying defects and anomalies in products more quickly and efficiently.
It's not magic, it's predictive quality: discover the power of Genius Warning.
Smart Supply
An advanced approach to supply chain management exploits innovative technologies to optimise the flow of products, information and resources along the entire supply chain, starting with purchasing. The objective is to improve efficiency, visibility and responsiveness, enabling companies to adapt more quickly to changes in demand, reducing costs and improving overall operational performance.
Data Science plays a key role in Smart Supply, exploiting huge amounts of data from different sources within processes (IoT (Internet of Things) sensors, tracking systems, inventory and warehouse data, transactions, orders, invoices). Through data analysis, it is possible to reduce waste, optimise stock levels and ensure that the right products are available at the right time.
A set of tools, skills and techniques to analyse real-time data, make evidence-based decisions and optimise operations along the entire supply chain, thus contributing to a more efficient and responsive smart supply.
Data Science plays a key role in Smart Supply, exploiting huge amounts of data from different sources within processes (IoT (Internet of Things) sensors, tracking systems, inventory and warehouse data, transactions, orders, invoices). Through data analysis, it is possible to reduce waste, optimise stock levels and ensure that the right products are available at the right time.
A set of tools, skills and techniques to analyse real-time data, make evidence-based decisions and optimise operations along the entire supply chain, thus contributing to a more efficient and responsive smart supply.
The main tool for making simulations and hypothesising scenarios based on different variables such as costs and performance is definitely Corporate Performance Management (CPM) in the context of Smart Supply, key elements are accurate but flexible planning, proper budgeting, and the ability to be in control in the context of an ever-changing world. Var Group Data Science provides everything you need for maximum competitiveness and intelligent production and distribution logics.
The benefits
• Supply chain optimisation
• Reduction of human error and waste
• Implementation of a unified and advanced quality process
