Smart factory solution Nexplant① Nexplant MES Equipment Engineering
<Smart factory solution Nexplant ①> Nexplant MES Equipment Engineering
<Smart factory solution Nexplant ②> Nexplant Analytics
Nexplant MES EES delivers better equipment efficiency and quality through rigorous equipment data analysis.
Nexplant MES Equipment Engineering improves equipment efficiency and product quality through collecting, processing, and analyzing shop floor data.
- Fault Detection : Auto Spec Control, Interlock Action, Summary Spec, Trace Spec
- Performance Tracking : Momentary Halt Root Cause Analysis, Equipment Analysis Upon Change Point, Equipment Operation Analysis, Equipment Monitoring
- Equipment Quality : Auto Equipment Quality Analysis, Full Pattern Analysis, Significant Difference Ananlysis, Interlock Root Cause Analysis
- ProcessAnalysis : SPC Analysis & Simulation, SPC Data Execution, Control Chart Production, SPC Chart/Spec
- Recipe Management : Recipe Validation, Recipe Analysis, Recipe Parameter, Recipe
- Message Dispatcher : Formatter, Pre Processor, Router, Worker
- Data Collection Plan : Data Collection, Virtual Parameter, Context Management, Trace Summary
- Analytics Controller : Job Controller, Data Executor, Math, Start
Nexplant MES Equipment Engineering accelerates the velocity of data analysis without the need for high upfront capital costs. Samsung SDS’s active-active configuration based on in-memory data grid(IMDG) cuts hardware capital costs by 30%.
Samsung SDS’s Equipment Engineering solution triggers real-time alert when readings show abnormalities. It then suggests possible root causes behind such abnormalities and performs analysis to quickly prevent declines in equipment efficiency. All this is done through by automatically calculating the interlock setup values for each sensor and revising them into an optimal specification whenever a change point occurs.
Nexplant MES Equipment Engineering solution consists of;△RMS(Recipe Management System) which manages master data of recipes and controlling equipment, △FDC(Fault Detection and Classification) which detects equipment faults through real-time monitoring,△EPT(Equipment Performance Tracking), that defines equipment state and manages performance indices and △SPC(Statistical Process Control) which controls process quality by using a statistical method.
- Track-In Start → Process Ongoing/Complete → Measurement Inspection Ongoing
- RMS : Anomaly Validation → EES Framework → Recipe, Control → Equipment, FDC : Equipment annomaly → EES Framework → Recipe, Control → Equipment, EPT : Equipment efficiency → EES Framework → Recipe, Control → Equipment, SPC : Process validation → EES Framework → Recipe, Control → Equipment
- RMS : Equipment → Sensor/Equipment/Metrology Data → Process condition → RMS, FDC : Equipment → Sensor/Equipment/Metrology Data → Equipment Data → FDC, EPT : Equipment → Sensor/Equipment/Metrology Data → Equipment state → EPT, SPC : Equipment → Sensor/Equipment/Metrology Data → Process/ measurement → SPC
- RMS, FDC, EPT, SPC → Process Condition inter lock → Production Execution, RMS, FDC, EPT, SPC → Equipment Data → Quality Analysis RMS, FDC, EPT, SPC → PM Data → Equipment Preservation
- Equipment A, Equipment B, Equipment C, Equipment D, Equipment E, Equipment ...