Trouvez la capacité cachée dans vos lignes actuelles
Les lignes de conditionnement agroalimentaire font face à une combinaison unique de pressions : changements fréquents entre des dizaines de références chaque semaine, protocoles de gestion des allergènes, complexité multiformat et pression constante sur les coûts. Navigator aide les industriels de l'agroalimentaire à atteindre plus de 80 % d'OEE en transformant les données opérationnelles en intelligence actionnable.
Conçu pour l'industrie agroalimentaire
Les opérations de conditionnement agroalimentaire multiformats et multi-références nécessitent une intelligence conçue sur mesure.
High-Frequency Changeover Optimisation
A typical food plant runs 40+ different products weekly, each requiring 30–90 minutes of changeover time. Navigator benchmarks every changeover by product transition, format change, and crew — then identifies where SMED techniques, pre-staging strategies, and automation can recover hours of productive time each week.
Allergen Changeover Verification
Allergen management requires validated cleaning between certain product runs, with dedicated format sets and documented procedures. Navigator tracks allergen-to-allergen transitions, verifies that required cleaning protocols are completed, and provides a digital audit trail that satisfies retailer and regulatory requirements.
Multi-Format Line Intelligence
Trays, flow-wraps, pouches, cartons, and bags often run on the same line with different tooling and settings. Navigator provides unified OEE tracking across all formats, normalising data so you can make meaningful performance comparisons and identify which format transitions are costing you the most capacity.
Waste Reduction & Yield Optimisation
Food manufacturers face intense pressure to reduce waste — from raw material giveaway to packaging film overuse and end-of-line rejects. Navigator tracks waste by category, machine, and shift, then applies AI to identify patterns and correlations that help you reduce total waste by targeting the highest-impact root causes first.
OEE Benchmarking Across Sites
With realistic OEE targets of 75–85% for food operations, knowing where you stand versus best-in-class is critical. Navigator standardises OEE definitions across every site, line, and product type — enabling genuine like-for-like benchmarking that reveals which sites, lines, and shifts are truly leading, and transfers those practices across your network.
Résultats de clients Vins et Spiritueux
Résultats prouvés issus des principaux distillateurs et producteurs de vin.
Les modules qui comptent le plus
Tous les modules Navigator sont disponibles, mais c'est ici que les fabricants de boissons gazeuses constatent l'impact le plus rapide.
Monitor
Real-time OEE, line status, and micro-stop detection across every filler, labeller, and packer.
Analyse
Deep-dive into changeover trends, speed loss patterns, and shift-by-shift benchmarking.
AMI
AI-driven root cause analysis that pinpoints why your line dropped 4% OEE last Tuesday at 2am.
SmartWorker
Guided operator workflows for changeovers, CIP, and fault resolution on the line.
