Manufacturing Operating Framework for SME & FDI Factories

A structured, modular approach to digitalizing production, warehouse, and quality operations — built for scalable industrial environments.

Who We Are in this Solution Context

Process Mapping First

We start from actual factory workflows, decision points, handovers, and bottlenecks before defining system scope.

Standardized Architecture

Core architecture patterns are standardized for consistency, maintainability, and predictable rollout across sites.

Modular Reuse

Reusable modules and deployment templates reduce implementation risk and improve upgrade continuity over time.

Long-term Partnership

We align roadmap, operations, and support model with your multi-year digital manufacturing objectives.

Primary buyers

Factory Director, Operations Manager, Supply Chain Manager, IT Manager.

Target environments

Industrial zones, multi-line factories, SME growth plants, FDI manufacturing operations.

Operating model

Assessment-driven architecture, modular rollout, governance-backed maintenance and upgrade path.

Limited real-time production visibility

Supervisors receive status updates late, making line balancing and issue escalation reactive instead of proactive.

Heavy Excel dependency

Manual files increase version conflicts, rework, and inconsistency between planning and actual execution data.

Disconnected warehouse and production data

Material availability, WIP status, and finished goods updates are not synchronized in one operating context.

Inconsistent quality tracking

Incoming QC, in-process QC, and final QC are often managed by disconnected forms and teams.

Manual reporting burden

Operational reports are compiled manually, reducing management responsiveness and planning quality.

Audit and compliance pressure

Fragmented logs make it difficult to demonstrate traceability and control during customer or regulatory audits.

Multi-language and multi-site complexity

FDI operations require consistent workflows and terminology across teams, shifts, and locations.

Layer 1 — Core System Foundation

• User and role management
• Workflow engine
• Reporting structure
• Audit logging
• API-ready architecture

Layer 2 — Manufacturing Modules

• Production management
• Inventory control
• Packaging workflow
• Quality control
• KPI dashboard

Layer 3 — Adaptation & Integration

• SOP alignment
• ERP integration capability
• Factory-specific workflow configuration
• Multi-language support

1. Process Assessment & Mapping

Document workflows, handoffs, bottlenecks, and operational controls by department.

2. System Architecture Design

Define data structures, workflow engine model, access controls, and integration interfaces.

3. Modular Deployment

Roll out prioritized modules in sequence while keeping operational continuity.

4. Testing & Validation

Perform process validation, data checks, and exception scenario verification with stakeholders.

5. Training & Go-live

Conduct role-based enablement, operating SOP updates, and controlled production launch.

6. Continuous Improvement

Iterate based on KPI performance, quality trends, and evolving plant requirements.

Structured engineering approach

Architecture and implementation decisions are governed by process and system principles, not ad-hoc requests.

Long-term system thinking

Design choices are made for maintainability, expansion, and operational continuity across future phases.

Scalable architecture design

Modules and data models are structured to support additional plants, lines, and integration layers.

Documentation discipline

Process maps, specifications, and handover artifacts are managed as first-class delivery outputs.

SLA-based support model

Post go-live support follows response and resolution commitments aligned with plant operations.

Complex systems experience

We apply proven engineering practices from building high-complexity, multi-module business systems.

Security & Compliance Baseline

• TLS 1.2 / 1.3 enforced for data-in-transit security.
• Role-based access model and controlled session security policies.
• OWASP-aligned application security practices (XSS, CSRF, SQLi controls).
• Audit logs and traceability for operational and compliance review.
• Optional alignment roadmap for ISO/IEC 27001, IEC 62443, and automotive quality compliance contexts.

Delivery Team Structure

• PM / SCRUM Master for planning, governance, and stakeholder communication.
• System Analyst for process mapping and architecture translation.
• Backend, frontend, and mobile engineers for cross-platform execution.
• QA and DevOps for release quality, CI/CD, and stability.
• Integration specialists for IoT/PLC/ERP interfaces where required.

Phase 1 — Foundation & Core Modules

Establish governance, user roles, core workflows, and priority production and inventory modules.

Phase 2 — Integration & Automation

Integrate supporting systems, reduce manual handoffs, and standardize cross-department workflows.

Phase 3 — Data Intelligence & Optimization

Expand analytics, improve decision velocity, and continuously optimize operational and quality outcomes.

Package A — Foundation Pilot

Estimated: 120M – 280M VND

• Core workflow setup for one pilot line
• Production + inventory baseline modules
• Basic dashboard and report templates
• Initial user training and go-live support

Package B — Standard Plant Rollout

Estimated: 320M – 850M VND

• Multi-module deployment for plant operations
• Quality, packaging, and KPI dashboard coverage
• Barcode/QR operations and role-based access model
• Structured testing, training, and controlled launch

Package C — Multi-Plant Integration

Estimated: 900M+ VND

• Cross-site standardization and governance model
• ERP / PLC / IoT integration roadmap implementation
• Advanced analytics and phased optimization layer
• SLA operation model with extended support options

Maintenance & Support Model

• Default maintenance package for platform stability and incident handling.
• Extended package for faster response windows and increased monthly support capacity.
• Software issue response targets based on impact class and SLA scope.
• Role-authorized data adjustment and log review support.
• Periodic performance monitoring, cache maintenance, and optimization checks.

Backup & Recovery Baseline

• Automated system backup every 2 hours (server-side checkpoint).
• Cloud upload backup schedule at least twice per day.
• Standard cloud backup volume reference: 50GB baseline.
• Recovery objective reference: service recovery under ~60 minutes for software incidents.
• Contingency activation reference: temporary recovery environment under ~60 minutes in severe incidents.