No need to replace every piece of equipment at once, or integrate directly with a large-scale manufacturing system.
Establish trusted production data first, then gradually integrate equipment, reporting analytics, or AI applications.
By scanning QR codes on phones or tablets, operators can report station in/out, output, labor hours, defects, and exceptions — giving managers real-time visibility into production progress and shop-floor status.
Does your factory face any of these problems?
Smart MaxMES starts from the simplest, most practical mobile reporting, lowering the barrier to digital transformation.
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Paper reports can only be consolidated the following day
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Repeated Excel entry leads to missing or mistyped data
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Production progress has to be checked by phone
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Downtime, defects, and rework lack complete records
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When quality issues occur, root causes are hard to trace
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Traditional MES is too complex for shop-floor staff to adopt
Phased rollout
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01
Shop-floor diagnosis
Review production flow, reporting methods, data gaps, and system environment to determine the right rollout scope and direction.
Deliverable: mobile reporting rollout diagnosis and digital transformation recommendations -
02
Mobile reporting rollout
Start with a single line, process, or production unit — deploying reporting, production task tracking, real-time dashboards, and training.
Goal: establish the first workable digital reporting environment -
03
Smart manufacturing integration
Integrate ERP and add an AI knowledge assistant that delivers production forecasts, natural-language queries, and intelligent exception analysis — gradually building a data-driven smart factory.
Goal: move from mobile reporting to a data-driven smart factory
Subsidy eligibility, amount, and applicable items follow the annual announcements and review outcomes of the authorities.
Core features
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Smart dashboards and AI assistant
Delivers production forecasts and natural-language queries — get the information you need with a single question.
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Production tasks and process management
See in real time the current process, completed quantity, remaining quantity, and status of each production task.
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Output and labor hour records
Automatically log operation time and centrally manage good, defective, rework quantities, and actual labor hours.
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Exception and defect management
Record downtime, equipment failures, quality exceptions, and cause categories to build a traceable exception history.
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Equipment and system integration
Connect with ERP, T100, SAP, PLC, andon lights, counters, and IoT sensors as needed.
From production to analytics — a complete mobile reporting workflow
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STEP 1
Sync production tasks
Sync production data from an existing ERP and turn it into executable production tasks on the shop floor.
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STEP 2
Scan and report on-site
Operators scan the QR code to report progress, output, labor hours, and exceptions.
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STEP 3
Real-time data sync
Shop-floor data flows to the management platform in real time, cutting down manual consolidation.
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STEP 4
AI decision support
Managers gain real-time visibility into equipment, exceptions, and delivery — with built-in production forecasts and natural-language queries, decision-ready information is one question away.
Before vs. after rollout
| Aspect | Before | After |
|---|---|---|
| Reporting method | Manual paper or Excel entries, prone to missing or mistyped data | Real-time reporting by scanning QR codes on a phone |
| Data consolidation | Has to wait until the following day to consolidate | Data syncs to the management platform in real time |
| Production progress | Checked by phone calls or walking the shop floor | Transparent progress, viewable anytime |
| Exception records | Downtime, defects, and exceptions lack complete records | Standardized causes, easy to trace and analyze |
| Production reports | Manually compiled — time-consuming and error-prone | Automatically consolidated, cutting administrative work |
| Quality traceability | Hard to trace the source when quality issues arise | Quickly searchable by lot, staff, or equipment |
Which companies fit this rollout?
- Still using paper or Excel for reporting
- ERP lacks shop-floor execution data
- Production progress requires manual inquiry
- Labor hours and exception data are incomplete
- Need for production history or traceability
- Want to validate MES from a single line
- Want to adopt AI but have not built complete production data yet
Make Shop-Floor Data Transparent
MAXAIOT helps you inventory shop-floor needs, define rollout scope, and set improvement metrics.Turn the production information generated on your shop floor every day into real-time, transparent, and traceable management data.
Actual subsidy eligibility and approved amounts follow the regulations and review outcomes of the responsible authorities.
Book a requirements consultation