Production Planning
Connect orders, BOM requirements, materials, capacity and priorities. Compare the plan with actual production and identify gaps.
Mimasa prepares analysis and options for authorised planners.
Manufacturing Operations Automation
Manufacturing Automation for Connected Plant Operations
Connect production, quality, machine, workforce and planning data. Mimasa AI helps plant teams monitor work, investigate exceptions and coordinate approved responses.
Add manufacturing intelligence and AI agents around existing systems. Keep production, quality and safety decisions with authorised people.
Production intelligence | Quality workflows | Plant monitoring | Manufacturing analytics | Human approvals
- 1Works with ERP, MES, MRP and plant systems.
- 2Human approval protects consequential decisions.
- 3Evidence, ownership and data freshness stay visible.
Definition
What Is Manufacturing Automation?
Manufacturing automation uses software and connected systems to complete repeatable operational work. It can monitor processes, analyse data, route exceptions and prepare actions.
AI can also interpret documents, images, video and changing plant data. It helps teams find patterns and see what needs attention.
Intelligence, Not Machine Control
Mimasa focuses on intelligence and workflow coordination. It does not replace plant-control systems or technical judgement.
Explore AI for Manufacturing →Connected Plant
Connect Plant Data With Operational Work
Plant information often sits across ERP, MES, quality, maintenance and planning systems. Documents, spreadsheets, images and video add more context.
Manufacturing process automation joins these sources with clear ownership. Each action can retain its source, status and review history.
- 01Collect approved plant and business data.
- 02Map products, machines, orders, shifts and locations.
- 03Read relevant documents, images and video.
- 04Monitor configured process and performance signals.
- 05Analyse exceptions and possible impact.
- 06Prepare a response with supporting evidence.
- 07Route the decision to an authorised person.
- 08Trigger only permitted tasks or system actions.
Operating Loop
How Manufacturing Operations Automation Works
- Step 1
Connect
Bring together authorised production, quality, machine, workforce and planning information.
- Step 2
Observe
Monitor configured data, documents, images, video and operational events.
- Step 3
Analyse
Find patterns, changes, missing information and configured exceptions.
- Step 4
Decide
Prepare a recommendation, report or next task with supporting context.
- Step 5
Approve
Ask the right person to review consequential quality, production or safety decisions.
- Step 6
Act
Create a task, update a report or trigger a permitted action in a connected system.
Industrial process automation can control equipment and deterministic processes. Mimasa adds intelligence and coordination around authorised operational data.
See how Mimasa connects data, agents and workflows →Use Cases01 02 03 04 05 06
Manufacturing Operations Use Cases
Manufacturing operations connect plans, people, equipment and quality. Mimasa brings those signals into reviewable workflows.
Visual Quality Inspection
Use approved images or video to check configured visual conditions. Route a possible defect or assembly gap for review.
A qualified person confirms disposition and safety decisions.
Workforce Adherence
Connect permitted worker, machine, workstation and shift information. Flag configured attendance or workstation exceptions.
Clear privacy, access and retention rules remain essential.
Machine And Process Monitoring
Connect approved machine events, sensor records and maintenance information. Show changes that need investigation.
Mimasa complements machine monitoring software and does not control equipment.
Explore Predictive Maintenance →Plant Exception Management
Bring production, quality, machine and workforce context together. Create an assigned task when a configured condition occurs.
The interface keeps data freshness and ownership visible.
Operations Reporting
Prepare dashboards, spreadsheets, reports and presentations from authorised plant data. Run them on demand or on a schedule.
People confirm operational meaning before sharing or acting.
Operations Management
Manufacturing Operations Management With Connected Intelligence
Manufacturing operations management coordinates production, quality, people and plant resources. Reliable information across systems makes this possible.
- Production plans and actual output.
- Product, order and BOM context.
- Quality checks and inspection results.
- Machine and maintenance signals.
- Shift, worker and workstation information.
- Exceptions, owners and action status.
- Documents, reports, images and video.
- Management dashboards and reviews.
MOM software or shop floor management software remains operational. Mimasa adds intelligence, agents and governed workflow without issuing unrestricted equipment commands.
Analytics
Manufacturing Intelligence And Analytics
Manufacturing intelligence turns plant data into decision context. Manufacturing analytics connects current conditions with history, plans and business rules.
- Plan-versus-actual changes.
- Output by line, product, shift or period.
- Quality and inspection exceptions.
- Machine or process changes.
- Material and capacity constraints.
- Workforce and workstation exceptions.
- Recurring delays or missing information.
- Open tasks, approvals and response status.
Manufacturing data analytics depends on consistent identifiers. Mimasa flags data gaps before presenting a conclusion.
Human Control
Manufacturing Workflow Automation With Human Control
Manufacturing workflow automation defines what happens after a plan, inspection or plant event. It connects information with tasks, decisions and approvals.
| Workflow Step | What Mimasa Can Do | Human Control |
|---|---|---|
| Production review | Compare plan, actuals, capacity and materials | Approve plan or priority changes |
| Visual inspection | Flag a configured visual condition with evidence | Confirm disposition and quality action |
| Machine exception | Connect event history and operational context | Decide maintenance or production response |
| Workforce exception | Match permitted shift, worker and workstation data | Review context and take authorised action |
| Plant reporting | Prepare dashboards, reports and presentations | Confirm interpretation and distribution |
| Follow-up | Create tasks and track completion | Own technical and operational decisions |
Shop floor automation should preserve authority and evidence. AI does not gain new production or safety permissions.
AI Agents
AI Agents For Manufacturing Operations
AI agents for manufacturing can complete selected work inside a defined process. Each agent uses only assigned data and tools.
- Monitor approved plant and business signals.
- Read documents, images or video.
- Investigate a production or quality exception.
- Compare current information with a plan or rule.
- Prepare a dashboard, report or presentation.
- Create a task for the right person.
- Pause when information or confidence is missing.
- Trigger a permitted action after approval.
Generative AI for manufacturing can prepare summaries and reports. People confirm technical facts and operational meaning.
Clear Limits
Autonomous Manufacturing Needs Operational Guardrails
Mimasa automates defined analytical and coordination tasks. It stops when authority, evidence or review is required.
- Production and material plans.
- Quality disposition and rejection.
- Machine, maintenance and safety actions.
- Workforce decisions.
- Changes to operational systems.
- External or customer communication.
This supports smart manufacturing automation without removing accountability.
Existing Systems
Manufacturing Automation Software Around Existing Systems
Plants already use ERP, MES, MRP, quality, maintenance and industrial automation software. Mimasa connects selected work across this environment.
This creates connected manufacturing automation solutions around existing records. It does not replace control, execution or system-of-record platforms.
- Data, document, image and video inputs.
- Mapping and data-quality checks.
- Manufacturing and factory intelligence.
- AI agents and analytical tools.
- Workflow rules and human approvals.
- Dashboards, reports and tasks.
- Controlled actions in connected systems.
GovernanceExplore Data Governance →
Security, Governance And Deployment
Manufacturing data can include production, quality, machine, worker and customer information. Access must be controlled.
- Role-based access.
- Approved data and tool access for each agent.
- Human approval steps.
- Activity and execution records.
- Controlled system and external actions.
- Cloud, private-cloud and on-premise deployment.
Adoption
Start With One Plant Workflow
Start with work that takes time or hides important context. Define the result before building the workflow.
- 1Choose a production, quality, machine, workforce or reporting process.
- 2List the systems, data, documents, images and people involved.
- 3Define the condition, rule and expected output.
- 4Add review steps for technical and consequential actions.
- 5Test common cases, exceptions and data gaps.
- 6Monitor the result before expanding.
Connected Platform
Related Platform Capabilities
AI Agents
Build agents for production, quality, plant and reporting tasks.
Agentic Workflow Automation
Connect signals, analysis, tasks and approvals.
Data Extraction
Extract information from plant documents, images and files.
Data Transformation
Clean, map and validate manufacturing data.
Data Governance
Control plant data, agent access and actions.
Visualisation And Dashboards
Review production, quality and plant operations.
Gosthi
Manage tasks, discussions, approvals and agent hand-offs.
Related Functions
Related Business Functions
Frequently Asked Questions
Common questions about manufacturing automation, operations management, analytics and how Mimasa works with plant systems.
Start Focused
Choose One Manufacturing Workflow To Improve
Bring a production, quality, machine, workforce or reporting workflow. We will show how Mimasa can connect the data, apply controls and reduce manual work.
Want the wider picture first? See how Mimasa connects data, AI agents and governed workflows across the business.
See How Mimasa Works →