Next Srl Unipersonale
Stand B35

Next Srl Unipersonale

One Word. AI

Start-up of Regione Marche

Start-up

Nazario Sauro,  11/A
Jesi  (Ancona) — 60035 — Italia
Phone 0731702191

Description

We have been digitalizing the processes of the world's largest corporations for years, through technologies deriving from Artificial Intelligence.We can boast extensive experience in the field of international projects at the corporate level. This know-how and the multiplicity of installations ensure rapid implementation, reliability and stability of the various solutions.



IMPROVE 4.0

NeXT has developed a software solution, IMPROVE 4.0, dedicated to the continuous improvement of industrial production processes.With IMPROVE 4.0, the management team can monitor the performance of each machine, department or plant, discovering where efficiency losses occur.Knowledge of data, nowadays, is the basis of competitiveness. In addition, several IMPROVE 4.0 solutions originate in World Class Manufacturing contexts. It is installed in 30 countries, in more than 100 industrial plants with a total of more than 5,000 production lines.



PROLED

Software made for Enel for the design of power distribution lines. To date, more than 10,000 km of power lines have been designed with ProLED. It is used by more than 2,000 Enel designers and hundreds of external designers.Currently, ProLED is the standard in Italy for the design of new power lines or the verification of existing lines redesigned for the installation of optical fiber.


Our products

Machine Ledger

Machine Ledger

The Machine Ledger is a WCM tool for managing the maintenance through a calendar in Excel in which the machine is broken down into individual components. Next's ML 4.0 has digitalized the WCM tool by making it web-based and turning it extremely useful for any company. The advantage of ML 4.0 lies in managing professional and autonomous maintenance work and sudden breakdowns (EWO modules) in a single environment. In addition, there are calendars for each maintainer and a list of assigned tasks. The goal is to get to zero on sudden failures by adopting different types of maintenance: - TBM: Time Based Management: this type of maintenance depends on the usage time of the component - HBM: Hit Based Management: the maintenance depends on the actual usage of the component - CBM: Conditional Based Management: the maintenance depends on variables, with the help of mathematical models and deep learning. The ML 4.0 provides important KPIs such as MTTR, MTBF and detailed analysis of maintenance costs. REFERENCE SECTOR: any industrial sector that uses machinery
Digital Shopfloor Management

Digital Shopfloor Management

Tool for controlling both the factory and the entire production process. An All-in-one solution for the digitalization of the entire plant. The DSM focuses on observing 5 thematic areas: - Safety: Drastically reducing incidents. It involves tools such as Action plans and Job Safety Observation Action. - Quality: Tracking the causes of quality issues through interfacing with OEE (Overall Equipment Effectiveness). - Delivery: Controlling the service level and customer delivery times. Productivity is monitored by tracking on-time deliveries and late deliveries. - Cost: Identifying and addressing waste occurrences. The analysis includes assessing production efficiency, non-production durations, delivery times from production lines, and verifying actual plant and department productivity. - Maintenance: Minimizing unplanned machine downtime by monitoring the main causes.

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