Custom manufacturing software: MES, IoT integration, quality management and production planning

Manufacturing across Europe operates in an environment of structural challenges: volatile energy prices, a persistent shortage of skilled technical workers, escalating sustainability requirements (CSRD reporting, carbon reduction targets) and customers demanding shorter lead times with higher quality. The Netherlands ranks among Europe's top countries for high-tech production, precision engineering and food processing, but that position comes under pressure as competitors in lower-cost regions raise their quality levels. The competitive advantage increasingly lies not in the machines themselves but in the data surrounding them: manufacturers with real-time visibility into OEE, quality metrics and energy consumption per batch can adjust faster than those who fill in spreadsheets after a shift ends. Automotive suppliers subject to IATF 16949 or food producers certified under FSSC 22000 risk losing contracts if they cannot demonstrate batch-level traceability on demand. From metal fabrication and plastics processing to food production and high-tech assembly, the difference between profitable production and margin erosion comes down to the quality of data and automation on the shop floor. Many manufacturers still rely on paper-based work orders, standalone spreadsheet schedules and SCADA systems that do not communicate with ERP. This creates unplanned downtime, unclear order-to-delivery lead times and a lack of traceability that becomes critical during audits or product recalls. Custom software bridges the gap between shop floor and office: MES (manufacturing execution system) functionality captures real-time production progress, machine data flows via IoT sensors and industrial protocols (OPC-UA, MQTT, Modbus) to dashboards and alerting systems, and quality management (ISO 9001, IATF 16949, FSSC 22000) is embedded in the production process rather than checked after the fact. MG Software builds production platforms that not only automate but also create predictability: from predictive maintenance that prevents downtime to production schedules that optimally allocate capacity, materials and personnel.

Pain points

• Unplanned machine downtime due to the absence of early detection of wear, abnormal vibrations or temperature patterns, resulting in production losses and emergency maintenance at premium cost
• Paper-based work orders and manual shop floor registration causing errors in production counts, material consumption tracking and labour hour accounting
• Production scheduling based on spreadsheets and intuition rather than real-time machine and order data, leading to either overcapacity or missed delivery commitments
• Lack of traceability from raw material to finished product, which becomes problematic during quality audits (ISO 9001, IATF 16949) and recalls of defective batches
• SCADA and PLC systems operating as isolated islands without connectivity to ERP, meaning the production status visible in the office lags behind reality on the shop floor
• Mounting pressure for sustainability reporting (CSRD, scope 1-2-3 emissions) requiring accurate allocation of energy consumption per production line or product
• Technical workforce shortage amplifying the need to deploy existing operators more effectively through digital work instructions, dashboards and lean support tools
• Manual quality inspections that only detect defects at the end of the line instead of in-line measurements that flag deviations immediately and minimise scrap

Our solutions

• Custom MES platform capturing real-time production progress, machine status, material consumption and labour registration, ensuring shop floor and office always share the same truth
• IoT integration via OPC-UA, MQTT or Modbus streaming machine data (temperature, vibrations, energy consumption, cycle times) in real time to dashboards and alerting systems for operators and maintenance teams
• Predictive maintenance module that analyses sensor data and historical patterns to warn of impending machine failure, allowing maintenance to be scheduled during planned stops rather than causing unplanned outages
• Digital production scheduling with drag-and-drop planning, capacity optimisation and automatic rescheduling when disruptions occur, connected to real-time order data from ERP
• Quality management embedded in the production process: in-line measurement data (SPC, statistical process control), automatic hold-release on deviations and full batch traceability compliant with ISO 9001 or sector-specific standards
• ERP integration for order release, material consumption and labour bookings without double entry, with real-time synchronisation ensuring finance and production see the same numbers
• Sustainability dashboard allocating energy consumption per production line, machine or product for CSRD reporting, scope 1-2-3 emission calculations and internal reduction targets

Benefits

• Measurable reduction in unplanned downtime through predictive maintenance and real-time machine data, directly improving OEE and lowering maintenance costs
• Full traceability from raw material to finished product, enabling smoother audits and surgical batch-level recalls when quality issues arise
• More accurate production scheduling through real-time data rather than estimates, leading to better delivery reliability and reduced over- or underproduction
• Lower scrap rates through in-line quality measurements that detect deviations before semi-finished products flow to subsequent production steps
• Operator empowerment through digital work instructions, performance dashboards and real-time feedback, enabling less experienced personnel to become effective faster
• Demonstrable sustainability progress through precise allocation of energy consumption and emissions per product or production line, essential for CSRD compliance and customer audits

Technologies

Our approach

We start on the shop floor: which machines, which protocols (OPC-UA, Modbus, MQTT), which data is already available in SCADA or PLCs, and what must be registered manually? Together with production managers and operators we identify quick wins (typically machine status and OEE dashboards) and build a detailed roadmap towards a full MES. Each iteration is tested on the floor by the operators themselves, not just in the office by managers; adoption starts with the people who use the system daily. We install displays at machines so operators see their performance in real time and can react immediately to deviations. ERP integrations are added incrementally so that production registration becomes the authoritative source for work order completion, material consumption and labour bookings, giving the finance department access to up-to-date figures at all times. Training for operators and team leaders is part of every release, because technology only delivers value when people can work with it effectively. Post go-live we provide monitoring, dashboards and ongoing support so the team takes ownership of continuous improvement.

How to measure success?

Key KPIs include OEE (Overall Equipment Effectiveness) per line and per machine, percentage of unplanned versus planned stops, scrap rate and first pass yield, order-to-delivery lead time, traceability accuracy (percentage of batches fully traceable), energy consumption per unit produced and the ratio of manual registrations versus automated capture. Dashboards are accessible to operators, team leaders, production planning and management, ensuring each level drives the right KPIs.