Case Studies/Warehouse Management System (WMS) + Manufacturing Execution System (MES)

IndustrialManufacturingLogistics & Supply ChainWMSMESIndustrial Scanner

Warehouse Management System (WMS) + Manufacturing Execution System (MES)

Proven system for high-load high-availability process. Using android based industrial scanner. Integrated system from receiving, until finished. Deploy on premise or cloud.

Client

Manufacturing Client

Duration

Completed on schedule

Year

2023

Team Size

Full-stack team

Key Outcomes

End-to-end executionWMS + MES

A unified flow from receiving, warehousing, production execution, to finished goods—reducing handoffs and mismatches.

Data capture accuracyImproved

Scanner-first operations reduce manual entry errors and accelerate confirmation at critical control points.

Deployment flexibilityOn-prem / Cloud

Designed for manufacturing constraints with clear operational controls and scalable architecture.

The Challenge

Running High-Throughput Warehouse and Shopfloor Operations With Low Error Rates

Manufacturing execution requires stable performance, strict data consistency, and a field-ready UX for scanners—while maintaining traceability across warehouse and production steps.

High transaction volume and concurrency

Peak-shift workload must remain responsive without data races or inconsistent inventory/WIP states.

Scanner-first usability on the shopfloor

Operators need fast, minimal-step screens with clear validation and exception handling.

Cross-process integration (WMS ↔ MES)

Warehouse movements and production consumption must reconcile in near real time to avoid downstream discrepancies.

Our Approach

Process-Driven Design + Reliability Engineering for Industrial Execution

Sintesa delivered a process-mapped WMS/MES platform with robust transactional design, scanner-oriented UX, and performance/observability practices to sustain high operational load.

Process mapping and control points

Defined status transitions, validations, and SOP-aligned checkpoints across receiving, storage, production, and dispatch.

Scanner-first UX and operational ergonomics

Optimized flows for speed, reduced input steps, and consistent error handling on mobile/industrial devices.

Transaction integrity and reconciliation

Idempotent operations, audit trails, and reconciliation mechanisms to ensure data consistency.

Performance and observability baseline

Query tuning, indexing, monitoring dashboards, and runbooks for day-to-day support.

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