Custom software solutions for your manufacturing operations.

Description:
We develop custom software tools where standard systems, Excel spreadsheets, or existing ERP solutions do not fully address the real needs of manufacturing operations. Instead of introducing a complex system, we focus on building exactly the functionality required to solve a specific operational problem.

Solutions may include:

• Production planning and tracking tools

• Automation of existing Excel-based processes

• Processing and integration of data from multiple sources

• Custom calculations and analytical tools

• Production order and status tracking

• Automation of repetitive administrative tasks

• Solutions tailored to the specific needs of individual production processes

Outcome:
A simple, practical tool built around your process — without unnecessary complexity or features you do not use.

Description:
We develop custom KPI dashboards and reporting systems that transform manufacturing data into clear, useful information for operational teams and management.

Solutions may include:

• OEE dashboards

• Scrap, rework, and quality dashboards

• Loss analysis and Pareto charts

• Productivity and output tracking

• Plan versus actual performance

• Capacity utilization

• Automated daily, weekly, and monthly reporting

• Integration of data from Excel, ERP/SAP systems, and other sources

• Dashboards tailored to different management levels

Outcome:
A single place to monitor key manufacturing performance indicators, less manual reporting, and faster decision-making based on reliable data.

Description:
We develop custom simulation models of manufacturing systems so different scenarios can be analyzed before making decisions or investing in the real production process. The model is built around the actual production structure, available capacity, cycle times, equipment availability, material flows, and other relevant constraints.

Possible to analyze:

• Production line capacity

• Bottleneck identification

• Changes in cycle times

• Number of machines, operators, and work organization

• Work-in-process inventory and material flows

• Impact of downtime and equipment availability

• Different production increase scenarios

• Feasibility of new investments

• “What-if” scenarios before physical implementation

Outcome:
Better understanding of how the production system behaves and the ability to compare different scenarios before investing time, money, and resources.

Examples of Software Solutions