Decision Intelligence for Manufacturing
eSARP - Explainable AI for manufacturing decisions
From operational problems to strategic clarity - powered by expert knowledge and AI. Capture decisions, explain reasoning, and adapt continuously.
The Challenge
Why decisions break at scale
Manufacturing operations generate thousands of decisions daily.
Maintenance
Reactive repairs cause 23% of unplanned downtime.
Quality
Root cause analysis takes hours.
Planning
Scheduling conflicts multiply.
Logistics
Late deliveries erode trust.
Analytic Hierarchy Process (AHP)
Expert logic, structured
- Capture expert knowledge as weighted decision criteria
- Evaluate alternatives systematically with pairwise comparisons
- Generate explainable, traceable recommendations
Priority Weighting
Criteria Weights
Recommended Approach
Predictive Maintenance
AI-driven maintenance based on sensor data
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Hybrid Approach
Combine predictive with scheduled checks
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Preventive Maintenance
Scheduled maintenance before failures occur
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Reactive Response
Fix issues only when they occur
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Operational Decision Support
AI Coach - Your operational expert
Get instant, explainable recommendations for day-to-day manufacturing decisions. AI Coach combines expert knowledge with real-time data to suggest optimal actions.
AI Coach
Operational Support • Online
Recommended Action: Immediate tool replacement on Station 3, followed by parameter recalibration.
Expected Impact:
- Defect rate reduction: 12-18%
- Downtime required: ~45 minutes
- Cost savings vs. continued production: €2,400/shift
XAI Explanation
Decision Weights
Alternatives Ranked
Highest quality impact with acceptable downtime
Quick fix but may not address root cause
Risk of cascading quality issues
Excessive downtime for current severity
Why this recommendation?
Quality criterion weighted highest (40%) due to defect-related query. The AHP model identified tool wear patterns matching historical failure modes from the knowledge base.
Strategic Intelligence
AI CEO - From operations to strategy
While AI Coach handles day-to-day decisions, AI CEO synthesizes operational insights into strategic intelligence. Integrated with your ERP and MES systems, it provides executives with a unified view of organizational performance.
- Aggregates AI Coach outputs across all operational areas
- Integrates ERP/MES indicators for full visibility
- Delivers executive dashboards with traceable reasoning
Operational Layer
Real-time data from shop floor sensors, MES, and SCADA systems
Process Layer
AI Coach analyses patterns, applies AHP logic, generates recommendations
Strategic Layer
AI CEO aggregates insights for executive-level decision support
Adaptive Intelligence
Built to evolve
eSARP isn't static. As your operations change, the system learns. New scenarios are captured, expert weights are refined, and models are continuously validated against real outcomes.
Continuous Retraining
Models adapt as new data and expert feedback arrive
Outcome Validation
Track recommendation accuracy and refine accordingly
Expert Weight Tuning
Domain experts can adjust criteria weights over time
Scenario Library
Build a growing repository of decision patterns
Get Started
Ready to transform your decision-making?
Start with a pilot program tailored to your manufacturing environment. Our team will work with you to capture expert knowledge, configure the AHP model, and demonstrate measurable decision improvements.
2-week assessment
Identify high-impact decision areas and data requirements
Custom configuration
Set up AI Coach and AI CEO for your specific workflows
Measurable outcomes
Track decision quality, response times, and cost savings