Digital Factory Pilot Line

The digital program pilot line is the place where companies can explore the most recent and up-do-date digital technologies that can be adopted in order to boost production efficiency e business competitiveness.

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Discover CIM4.0 Digital Pilot Line with our virtual tour


Digitalization is accessible to all, from the biggest company to the smallest one. And we know how to talk with each of them.

We can sup­port com­pa­nies in the oppor­tu­ni­ty ana­ly­sis pha­se, under­stan­ding the need for inno­va­tion from A tech­no­lo­gi­cal, prac­ti­cal and busi­ness-dri­ven point of view. We can help defining an imple­men­ta­tion stra­te­gy, invol­ving tech­ni­cal managers and inte­rac­ting with the com­pa­nies’ ope­ra­tio­nal figu­res. We sup­port the laun­ch of trial expe­ri­men­ts, brin­ging the tech­no­lo­gies into the prototype production space, whe­re it is pos­si­ble to eva­lua­te KPIs and Bene­fit/ Cost ratio to asso­cia­te with fore­seen invest­men­ts. The last step is a long-term stra­te­gy exe­cu­tion, which hel­ps defi­ning the plan to tran­sform trials into full-time ser­vi­ces.

Advanced Robotics

Advanced robotics systems ena­ble the tran­sfor­ma­tion of indu­strial ope­ra­tions. Differently from conventional robo­ts, today it is pos­si­ble to leve­ra­ge on higher-level secu­ri­ty mecha­ni­sms, fle­xi­ble inte­gra­bi­li­ty and mobi­li­ty. The­se impro­ve­men­ts per­mit a faster setup and pro­gram­ming, pre­ser­ving the effi­cien­cy and relia­bi­li­ty of day-by-day ope­ra­tions. This is possible thanks to col­la­bo­ra­ti­ve robo­ts, which can seam­les­sly inte­ract with ope­ra­tors, gua­ran­teeing 360° safe­ty whi­le avoi­ding expen­si­ve and inva­si­ve pro­tec­tion bar­riers, and can be pro­gram­med accor­din­g to modern ICT-dri­ven para­digms and inte­gra­ted into digi­tal virtual envi­ron­ments to be simu­la­ted befo­re the com­mis­sio­ning.

Distributed Intelligence

Distributed intelligence systems are based on the use of cooperative systems, organized in hardware or software components, that independently handle specialized tasks to achieve system-level goals and a high degree of flexibility. Industrial edges allow data produced by sensor-rich assets like machines, equipment and devices, to be pre-processed in real-time, merging industrial IoT data with operational data. Companies can also take advantage of a Cloud system where it is possible to extensively process the aggregated data, execute critical actions and develop AI-driven business intelligence logics.

Extended Reality (XR)

Exten­ded rea­li­ty (XR) repre­sen­ts the mixture of aug­men­ted rea­li­ty (AR), vir­tual rea­li­ty (VR) and mixed rea­li­ty (MR) tech­no­lo­gies, whi­ch tac­kle various manu­fac­tu­ring domains such as trai­ning, edu­ca­tion, security and simu­la­tion. Thanks to com­mer­cial­ly avai­la­ble hard­ware, the manu­fac­tu­ring indu­stry has seen an increase in the use of advan­ced XR tech­no­lo­gies, shor­te­ning the gap bet­ween 3D modelling and vir­tual envi­ron­ment crea­tion. Tech­no­lo­gies such as holo­gra­phic viewers, vir­tual glas­ses, smart glas­ses and smart hel­mets, beco­me items to design vir­tual simu­la­tion environments and improve the operator’s functionality, impacting the manu­fac­tu­ring busi­ness para­digm itself.

Cyber Security & Privacy

The adoption of indu­stry 4.0 tech­no­lo­gies brings new cyber risks to the ope­ra­tio­ns and to the busi­ness itself. Because of the interconnection of smart fac­to­ry tech­no­lo­gies, cyber threa­ts are frequent and expo­se peo­ple, tools, phy­si­cal pro­ces­ses, and intel­lec­tual pro­per­ty to a high risk. The game has chan­ged: in the past, cyber­se­cu­ri­ty aimed at pre­ven­ting only the con­nec­tions between external and internal areas; today, with machi­nes con­nec­ted to the cloud, cyber­se­cu­ri­ty aims at gua­ran­teeing a ver­ti­cal, acti­ve and exhau­sti­ve IT/ OT pro­tec­tion.

Flexibility, Ergonomics & Safety

All around the world, manu­fac­tu­ring indu­stries con­stan­tly try to impro­ve their pro­duc­ti­ve per­for­man­ce. Lean Pro­duc­tion and World Class Manu­fac­tu­ring are the most popu­lar stra­te­gies that com­pa­nies adopt to boo­st their pro­duc­tion effi­cien­cy, and they can be implemented not only by big enterprises, but also by SMEs and other realities. Digi­tal tech­no­lo­gies sup­ports the adop­tion of tho­se effective prac­ti­ces, both in the pro­cess desi­gn pha­se and at an ope­ra­tio­nal level.

Predictive Maintenance

Pre­dic­ti­ve main­te­nan­ce aims at using data ana­ly­sis tools and tech­ni­ques to detect ope­ra­tional ano­ma­lies and pos­si­ble equi­p­ment defec­ts, in order to fix them befo­re the actual fai­lu­re. Pre­dic­ti­ve main­te­nan­ce allo­ws to reduce the fre­quen­cy of maintenance services as much as pos­si­ble, pre­ven­ting unplan­ned repairs and costs. However, it requires to defi­ne a com­plex plan which deals with data acqui­si­tion, data aggre­ga­tion, cyber­se­cu­ri­ty, and data mana­ge­ment poli­cies. It inclu­des desi­gning sophisticated logics and instru­men­ts, as well as the pro­per user inter­fa­ce to sup­port main­te­nan­ce staff in efficiently per­forming their job.

Next Generation Network

The con­cept of next generation net­works is based on enabling exten­si­ve and distri­bu­ted broad­band net­works to con­nect com­pa­nies and sho­p­floors. Inco­ming mobi­le wire­less con­nec­ti­vi­ty, like 5G and WiFi6, will boo­st con­nec­tion speed, impro­ve­ bat­te­ry life, increa­se net­work capa­ci­ty and enlarge the band­wid­th with respect to pre­vious gene­ra­tions net­work. When it comes to Indu­stry 4.0 use cases, it will faci­li­ta­te the adop­tion of ultra low-power IoT sen­sors, low laten­cy for impro­ved XR and real-time loca­tion ser­vi­ces (RTLS).

Digital Retrofitting

Adop­ting Indu­stry 4.0 is not always related to huge invest­ments or manu­fac­tu­ring greenfield: most of the times, it means iden­ti­fying and applying the pro­per digi­tal COTS avai­la­ble tech­no­lo­gies, allowing for example to gather data whi­ch can then be used to inform deci­sion-makers in real time. It is about taking small steps, stu­dy­ing the bro­wn­field and the spe­ci­fic com­pa­ny needs, avoi­ding rede­si­gning equi­p­ment or pur­cha­sing expen­si­ve appa­ra­tus. It is about eva­lua­ting value added, because pro­duc­tion effi­cien­cy is the dri­ver to tac­kle the com­pe­ti­tion.





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