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High-Mix, Low-Volume Manufacturing Is Hard
Capacity-constrained manufacturers face a perfect storm of dynamic disruptions that traditional ERP and spreadsheet-based planning simply cannot handle.
Rush Orders Break Your Schedule
Manual re-scheduling after a rush order or machine breakdown costs hours and causes cascading delays across the shop floor.
Hidden Capacity Sitting Idle
Without real-time visibility, machines sit idle, operators are misallocated, and production runs at 60-70% of true potential.
Missed Delivery Promises
Inaccurate lead time estimates destroy customer trust and force expensive overtime to recover. On-Time-In-Full rates suffer.
Knowledge Locked in Peoples Heads
Critical tribal knowledge about cycle times, changeovers, and quality requirements leaves with experienced operators and never comes back.
How Nexus iMES Transforms Your Operations
NTWIST adapts to your current digital maturity. Start where you are and grow toward fully prescriptive AI-driven operations.
Data Collection
Connect your PLC, ERP, DCS, and historian systems. Nexus iMES aggregates machine data, inventory, staff schedules, and job routings into a unified view.
Descriptive Analytics
Gain historical variability analysis, real-time dashboards integrated with your HMI, and influencer analysis based on PLC/DCS signals.
Predictive Models
AI detects anomalies, creates virtual instruments, forecasts output, and provides real-time influencer analysis to surface what drives your KPIs.
Prescriptive AI
Real-time optimization (RTO) generates optimal plans and sends actionable recommendations directly to operators and supervisors.
"Digitize your operations in order to observe, dynamically update, and optimize with A.I. — from demand forecasting to actual delivery."
Measurable Results Across Industries
From food production to energy companies, NTWIST has delivered documented, bottom-line value for capacity-constrained manufacturers.
Industrial Manufacturing
A high-mix, low-volume manufacturer was running significantly below theoretical capacity. Manual scheduling could not keep up with the complexity of diverse job types, machine constraints, and shift patterns.
NTWIST deployed Nexus iMES with nScheduler to digitize operations, learn cycle times, and generate optimal weekly plans that respect operational constraints.
Custom Project Manufacturing
A project-based manufacturer was averaging 73-day order cycle times, leading to customer complaints, margin erosion from overtime, and inability to take on new business.
nScheduler analyzed historical job data, built machine learning models for cycle time prediction, and generated AI-optimized production sequences.
Food & Beverage Production
A food manufacturer needed real-time visibility into line performance, quality losses, and changeover efficiency across multiple production lines to hit aggressive growth targets.
NTWIST implemented descriptive analytics and predictive models connecting historian data to management dashboards, surfacing real-time quality and availability loss drivers.
Energy & Resources
An energy company sought to reduce operational costs and carbon footprint while maintaining throughput with hundreds of interdependent process variables.
NTWIST deployed a prescriptive AI layer with Real-Time Optimization on top of existing DCS and historian infrastructure, generating continuous operator recommendations.
Watch How Nexus iMES Transforms the Shop Floor
In just 2 minutes, see how NTWIST connects your data, learns your operations, and starts generating optimal plans that your team can actually trust and execute.
