Digital Transformation Consultancy

Digital transformation consultancy is a 20-topic program for turning manual shop-floor workflows, Excel records and isolated systems into one real-time data flow. The Arge Bilişim team first assesses the current state, then builds a roadmap covering data collection, MES and ERP implementation, predictive maintenance and manufacturing data science. Target metrics are defined per project from a verified baseline and explicit acceptance criteria.

SIRI (Singapore Smart Industry Readiness Index), DMA (Digital Maturity Assessment), the Industry 4.0 Index and the Smart Manufacturing Index are assessment frameworks that score your factory's digital readiness on a standard, internationally comparable scale. They produce a score through on-site observation and interviews across the process, technology and organization axes. The output provides an independent reference file that shows where you should invest, which processes should be digitalized first, and that you can use in KOSGEB / TÜBİTAK grant applications.

Data-collection design determines, station by station, what data each machine, operator and quality station will produce, how often and over which protocol (OPC-UA, Modbus, MQTT, barcode / RFID, @rgeRover terminals). MES & ERP implementation consultancy then turns that data into meaningful processes, OEE, downtime, SPC, MRP, shipment, on the argemas MES, @rgeERP and @rgeWMS modules. Your existing ERPs such as Logo, Netsis, Mikro or SAP are preserved and work together through the integration layer.

Predictive maintenance means foreseeing a failure before it occurs by detecting anomalies from analog telemetry taken from the machine (vibration, current, temperature). The @rgeRover terminals read the analog inputs, the model learns the failure signature, and a maintenance work order is triggered from within argemas. AI applications in production are also used, with big data and data mining, in areas such as scheduling, demand forecasting, quality prediction, energy optimization and product-defect classification, Arge Bilişim consultants carry out model selection and go-live processes together with you.

The program starts with a maturity assessment. Pilot scope, data collection, integrations, training and acceptance criteria are planned for the specific facility. Once the pilot is validated, production planning, MRP, predictive maintenance and advanced analytics are introduced in stages as needed. Schedule and payback depend on data readiness, integration scope and baseline KPIs, so they are calculated after discovery.