Syensqo
Syensqo optimizes the maintenance of its plants with AVEVA PI System
Syensqo, a materials multinational recently spun off from Solvay, operates 30 plants in its polymers division alone. The group needed to optimize its maintenance activities while taking local specificities into account and rapidly replicating solutions across the organization, balancing centralization, site autonomy and the ability to build value incrementally. Syensqo made AVEVA PI System, complemented by AVEVA PI Server, AVEVA PI Vision and AVEVA PI Data Infrastructure, the core of its digital infrastructure. The benefits are remarkable and rapid: a 25% reduction in maintenance costs in less than a year, 50% of breakdown-related OEE losses avoided over the same period, 60% of batch duration variability eliminated in just three months, and maintenance solutions replicated across plants four times faster. Syensqo now has a scalable digital ecosystem capable of generating immediate value while supporting the diverse use cases of its 30 polymer plants over the long term.
Testimonials
FAQ
How does AVEVA PI System structure data for a multi-site group?
Syensqo, a materials multinational spun off from Solvay, operates 30 polymer plants. AVEVA PI System, complemented by PI Server, PI Vision and PI Data Infrastructure, forms the core of its digital infrastructure. This architecture balances centralization and local autonomy: each site retains its operational control while sharing contextualized data at group level. This structure enables rapid replication of maintenance solutions between plants, cutting deployment time by a factor of four compared with isolated approaches.
What industrial maintenance results does AVEVA PI System deliver?
Syensqo achieved a 25% reduction in maintenance costs in less than a year thanks to AVEVA PI System and PI Vision. OEE breakdown losses were cut by 50% over the same period. Real-time visibility into equipment condition makes it possible to anticipate failures, optimize planned interventions and prioritize corrective actions. In the chemical industry, where line availability directly determines profitability, these gains represent a particularly fast return on investment.
How can batch duration variability be reduced in chemicals?
With AVEVA PI System and PI Data Infrastructure, Syensqo reduced batch duration variability by 60% in just three months. Real-time collection of process parameters makes it possible to identify deviations between cycles, isolate root causes and standardize optimal recipes. This control of variability improves production predictability, optimizes asset utilization and makes delivery commitments to industrial customers in the polymers sector more reliable.
How can centralization and local autonomy be balanced in digital transformation?
Syensqo needed to optimize its 30 polymer plants while preserving local specificities. AVEVA PI System and PI Server provide a common infrastructure where centrally developed solutions can be rolled out quickly (four times faster) while leaving each site free to pursue its own initiatives. AVEVA PI Vision offers dashboards that can be adapted for each plant. This hybrid model maximizes the value of centralized activities while supporting field innovation, a key balance in large multi-site industrial groups.
Why bet on a scalable, incremental digital ecosystem?
Syensqo chose AVEVA PI System to build an ecosystem that delivers immediate value (25% lower maintenance costs in less than a year) while allowing use cases to be added incrementally: predictive maintenance, energy optimization, product quality, OEE. This scalable approach avoids the tunnel effect of large projects and secures team buy-in through quick results. It allows Syensqo to lastingly extend the benefits of digital transformation across all 30 of its polymer plants.