Implementing a production management system. Where to start and what mistakes to avoid?
Chaotic processes, costly downtimes, and lack of full control over orders are common problems in many factories. A well-selected and properly implemented production management system is the answer to these challenges. However, the implementation process itself can be difficult. Success depends on a solid plan and the ability to avoid costly mistakes that could undermine the entire investment.
Where to Start When Implementing a Production Management System?
It must be emphasized that the implementation of a production management system should be preceded by a thorough needs analysis. This is the most important stage, determining the success of the entire project. Business objectives must be clearly defined—such as increasing efficiency, reducing operating costs, improving product quality, or shortening order lead times.
An audit of current production processes is also essential. It helps identify bottlenecks, inefficiencies, and areas requiring immediate optimization. This documentation becomes the foundation for the system’s functional requirements specification.
It allows you to understand how information flows through the company and where communication gaps or delays occur. The analysis should cover every stage—from raw material intake, through individual production cells, to quality control and storage of finished products. Involving employees from different departments—from machine operators to production managers—provides valuable, practical insights. Thanks to this, the requirements specification for the new software will reflect the real needs of the organization, not just theoretical assumptions of management.
Defining Key Performance Indicators (KPIs)
An important aspect of the analysis phase is determining key performance indicators (KPIs). These allow for objective measurement of whether the implementation delivers the expected results. Without defined metrics, evaluating project success becomes subjective and imprecise.
Explaining what a production management system is often boils down to its ability to monitor and report these KPIs. The most common ones in manufacturing include:
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Overall Equipment Effectiveness (OEE)
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cycle time
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Mean Time Between Failures (MTBF)
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defect and scrap rate
The choice of KPIs must be closely tied to previously defined business goals. If the objective is downtime reduction, tracking machine availability and downtime duration is key. If the priority is quality, defect-related metrics become crucial.
A modern production management system should enable automatic real-time data collection for calculating these indicators. This gives managers up-to-date insights into process performance and allows for immediate response to deviations—rather than delayed action based on historical reports.
Choosing the Right Production Software
The decision on which production management system to choose should directly follow from the needs analysis and defined requirements. The market offers a wide spectrum of solutions, from simple scheduling tools to comprehensive platforms. Broadly speaking, production management systems fall into two main categories:
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MES (Manufacturing Execution Systems)
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production modules within integrated ERP (Enterprise Resource Planning) systems
ERP has a broader scope, covering finance, HR, or logistics, while MES focuses exclusively on the shop floor.
Key selection criteria include scalability and flexibility. The software should grow with the company and adapt to changing processes. A modular architecture is also worth considering, as it allows for gradual implementation of additional functionalities. All this makes for a comprehensive production management tool—such as TOMAI Factory System.
The Implementation Process in a Manufacturing Company
Implementing a production management system is a complex project requiring a detailed roadmap. The plan should define each stage, assign responsibilities to specific people, and set measurable milestones.
One of the biggest mistakes is attempting to roll out all modules and functionalities at once. A much safer approach is phased implementation, starting with the area that offers the highest optimization potential or causes the most issues. Such a pilot project allows the solution to be tested in a controlled environment and provides valuable experience before scaling up.
A dedicated project team should be established, including representatives from both IT and production departments. The project leader must have strong authority within the organization and support from senior management. Regular communication with the software vendor and recurring status meetings are essential for monitoring progress and resolving ongoing issues.
The implementation phase covers not only technical installation and configuration but also data migration from existing systems, acceptance testing, and preparation of the production environment. Rushing this stage is one of the most common causes of later system malfunctions.
Training the Team to Overcome Resistance to Change
One of the most underestimated aspects is training future system users. Even the best software won’t bring benefits if employees can’t—or won’t—use it. Training must be tailored to each person’s role—machine operators will need different instructions than production managers or analysts.
Education should not be a one-time event. Refresher sessions must be planned, and ongoing access to training materials should be provided. Implementing new software is the perfect moment to review and standardize processes, and in this context, production systems become valuable support tools.
Resistance to change is natural. To minimize it, open and transparent communication is necessary from the very start. Employees must understand why the change is happening and what benefits it brings—not only to the company but also to them personally (e.g., eliminating monotonous paperwork).
It’s also worth involving respected employees in testing and implementation. They can become change ambassadors within their teams, helping dispel concerns and demonstrating the practical benefits of the new tool in daily work. This builds trust in the project.





