Next level of performance with Industry 4.0

LEVERING INDUSTRY 4.0 SOLUTIONS TO ACHIEVE SUSTAINABLE PERFORMANCE

THE OPPORTUNITIES

Utilization of installed capacity was not optimized to meet growing market demand

Maintenance was centered in corrective maintenance and equipment availability was below target. The CMMS installed was barely utilized

Equipment efficiency was low and an integrated performance management model was not in place

Industry 4.0 & Digitalization barely existed: lots of paperwork along with cumbersome and manual filled MS Excel spreadsheets being used as performance reporting tools & KPIs

Production’s areas lacked tools to dynamic manage weekly and monthly capacity and production plans

Lack of a formal service level agreements with the commercial area generating frequent changes in planning and scheduling

11 %
in EBITDA

APROACH AND OUTCOMES

Changed the company culture to be more analytical and digital

Reviewed all the operating procedures and implemented Lean Six Sigma techniques to reduce set up times and product changes by 12%

Increased equipment speed by + 4%

For maintenance, a restructured planning and scheduling process with full digitalization of maintenance operations with existing CMMS resulted in +90% schedule attainment

The Implementation of tablets at the operator level to automate downtime reporting led to real time gap analysis, elimination of paperwork and manual data collection contributing to the elimination of Excel spreadsheets – “No Excel left behind

Interface agreements with commercial area were implemented, reducing by 77% ‘urgencies and priority’ changes

Industrial Internet of Things (IoT) allowed Real time Streaming Analytics from floor sensors, resulting in truly active management and real time optimization of process parameters

Advanced state of the art Data Platform for all management levels connecting all IT systems with fully automated visualization and integrated Artificial Intelligence capabilities such as predictive analytics for equipment failures and advanced modeling to balance and optimize resources