Companies operating in plastic materials processing — compounding and molding — are increasingly facing rising operating costs. The primary causes lie in production planning and management challenges. Frequent setup changes, coordination difficulties between departments, shift and personnel organization, poor material traceability in production, and warehouse management issues: all these factors combine to result in downtime, delivery delays, and quality degradation. The result is an increase in industrial cost and the need for companies to continuously balance flexibility, quality, and operational efficiency.
At the same time, these very issues represent a significant potential for improvement. The Fourth Industrial Revolution, known as Industry 4.0, has been a global reality for over ten years and has actively spread to Russia in recent years. At the foundation of this paradigm is the integrated digitalization of production processes through the ERP–MES–industrial automation chain, which enables company management at all levels. In this context, the MES (Manufacturing Execution System) plays a key role, handling operational production management.
In this article, we analyze the concrete improvements achieved by plastic materials processing companies following the introduction of a MES system, using as an example the “Kalibr” MES developed by Industrial Cloud.
“Kalibr” MES is an advanced and modular production management platform with the capability for direct connection to machinery. It includes several functional modules: warehouse and inventory management, material marking and traceability, production progress tracking, performance analysis, quality management, maintenance (MRO), and more.
The presence of autonomous modules deserves particular attention. The APS (Advanced Planning and Scheduling) module enables dynamic planning and automatically generates the optimal production plan. The PdM (Predictive Maintenance) module allows for monitoring the technical status of machines and signaling the need for maintenance interventions in advance.
The modular approach allows for the targeted implementation of “Kalibr” MES, selecting only the functionalities truly necessary for each company. During the design phase, significant attention was paid to the user experience: the interface is intuitive and does not require extensive training times. This makes the solution suitable not only for large plants with dedicated IT departments but also for small and medium-sized enterprises without internal IT resources.
Finally, the primary historical requirement behind the development of “Kalibr” MES was the automatic calculation of production costs. The current version of the system allows for determining the complete economic cost of every production order, one of the most important metrics for managing efficiency in polymer production.
In recent years, Industrial Cloud has gained solid practical experience in improving production efficiency through the implementation of “Kalibr” MES. The team, composed of IT specialists and production engineers, has carried out projects in over 100 customer plants and has connected more than 800 machines of various types to the system.
Below, we present some examples drawn from our experience in the plastic materials processing sector.
First Example: Production of LSR and Elastomeric Components
The first case concerns a company specializing in the production of Liquid Silicone Rubber (LSR) and elastomeric components through reaction injection molding. The machine park included approximately 35 injection molding machines. The client portfolio was extremely broad: from electronics and automotive to the fashion sector, including both large companies and SMEs.
The rapid growth in the number of clients and the variety of orders made it necessary to continuously revise the production plan, with frequent variations in items, volumes, and urgencies. From a commercial perspective, this was a positive sign, but on an operational level, this growth generated significant disorganization.
Operators and planners struggled to build a reliable work program. Production operated more and more often in emergency mode. The owners, for their part, began to notice that the increase in turnover did not correspond to an increase in profitability, but rather to a growing number of complaints regarding delays and quality problems.
One of the partners described the situation as follows: “I was convinced that machines and personnel were lacking: I thought it was necessary to purchase new presses and introduce additional shifts. But every time I entered the department, I saw half of the machines idle or being cleaned, waiting for tooling or decisions on orders. The phrase ‘we are waiting for them to tell us what to do’ had become the norm. In the meantime, we had lost any visibility into the real cost of production.”
The company found itself facing a real organizational crisis. The main request from the ownership was to restore control over production, obtaining objective, timely, and reliable data, including an understanding of the real cost of each order. It was necessary to collect information in real time, to know the actual utilization of resources, the causes of machine downtime, and to build a structured history of orders in order to analyze and improve processes. Realistic planning was also needed, based on the effective production capacity and not on theoretical standards or manual calculations.
The solution was the introduction of the “Kalibr” MES, which allowed for the transformation of chaotic growth into controlled development.
The system assumed the role of “digital dispatcher.” The production plan began to be generated automatically, taking into account the real load of the presses, the availability of molds and raw materials. Operators stopped “waiting for instructions”: each shift had a clear and shared plan. In the case of urgent orders, management could evaluate the impact on the rest of production in a few minutes and make informed decisions.
The causes of machine downtime ceased to be an unknown. Real-time data highlighted where and why time was being lost: setup changes, material waiting times, and lack of coordination between departments. This enabled targeted interventions in personnel organization and the logistics of tooling and components. Above all, uncertainty regarding profitability vanished. The system began recording the actual costs for each order: material consumption, cycle times, energy, and scrap. For the first time, the company gained a clear view of its margins.
The number of customer complaints was drastically reduced. On-time delivery reached 94%, and the electronic passport for each batch made the entire product history immediately traceable, from raw material to packaging. Without purchasing new machinery or increasing personnel, the company emerged from the crisis. The growth in profitability was achieved by eliminating hidden losses and transforming production into a predictable, technological, and fully controlled system. The partners finally achieved their goal: management clarity and confidence in every part produced.
Second Example: Mold Production for Injection Molding Machines
The second case concerns a company specializing in the construction of molds for injection molding machines. This is a complex production environment characterized by long cycles, dozens or hundreds of components in simultaneous processing, and precision requirements on the order of microns. Behind this high technological level, however, lay significant management disorder.
The absence of a unified digital system caused management to lose control over the departments. Deadlines were constantly sliding: every unforeseen event — a breakdown or an urgent order — forced a manual revision of plans, without the possibility of evaluating the overall impact. Components were lost in “blind spots” between departments, and searching for them required hours. Machinery would stop, but the causes of downtime remained vague and subjective. The most critical problem was the lack of transparency regarding costs: actual labor hours diverged drastically from those planned, making project profitability opaque.
It was evident that local improvements were not enough: a new “digital backbone” was needed for the entire production. The response was the implementation of the “Kalibr” MES-APS, deeply integrated into existing processes.
The impact was radical. Paper records and Excel spreadsheets were eliminated. Every order, complete with drawings and 3D models, now arrives directly at the operator’s terminal, who knows exactly what to do and when. Machinery connected to the system ceased to be “black boxes”: management can see in real time not only if a machine is stopped, but also the precise reason — waiting for tools, setup, or lack of semi-finished products.
The most significant change concerned planning. In the event of emergencies or breakdowns, the APS module recalculates the entire production plan in a few minutes, considering priorities, machine load, and equipment availability. Constant emergencies have given way to a structured and governable process.
Results emerged after just six months. Delivery date reliability reached 92%. The overall lead time for mold production was reduced by 15–22%, thanks to the elimination of invisible downtime between operations. Machine efficiency increased by 25% because the system finally revealed where time was actually being lost. Even production costs ceased to be an “unknown”: the automatic tracking of times for every operation provided a clear view of the profitability of each job.
Ultimately, the introduction of the “Kalibr” MES was not limited to automating planning and data collection. It initiated a cultural transformation, moving an artisanal and make-to-order production from manual, reactive management to a transparent, predictable, and technologically mature system. The company not only halted economic losses and regained customer trust but also created a solid foundation for future growth.
Conclusions
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In the context of the 2026 Russian market, digitalization is no longer an investment for the future, but a survival tool based on the elimination of hidden losses.
The cases analyzed clearly demonstrate that in the polymer supply chain, digitalization is no longer a matter of technological prestige or long-term strategies. In a context of economic slowdown, market contraction, and increasingly aggressive competition, it becomes a decisive factor for survival and the maintenance of market shares.
The main lesson is simple: when extensive growth is no longer possible, profitability reserves must be sought within the production process. A MES system like “Kalibr” is not mere data collection software, but a tool to release resources that for years have been lost in invisible inefficiencies: downtime between operations, urgent changes, component searching, and cost opacity. The benefits are not theoretical but translate into concrete and immediate results.
Accurate cost calculation for each order protects against loss-making contracts and strengthens the negotiating position in a context of strong price pressure. A punctuality rate of 92–94% is not an abstract KPI, but a real competitive advantage for which customers are willing to pay even in times of instability. The reduction of cycles and downtime is equivalent to the introduction of new production capacity without capital investment, allowing profitability to be maintained even with reduced loads.
For the polymer sector, the adoption of a MES today therefore represents a fundamental anti-crisis measure. It is the transition from reactive management to proactive control of every gram of material, every minute of machine time, and every euro of cost. Companies that take this step develop a true “digital immune system”: a governable, profitable, and predictable production, capable not only of resisting stagnation but of emerging strengthened, gaining ground over less organized competitors. In the current scenario, digitalization is the only way to transform operational chaos into a strategic asset.
In conclusion, it is important to emphasize that the implementation of production information systems is a strategic choice that determines the company’s digital future. Errors in this path translate not only into operational inefficiencies but also into significant economic losses. For this reason, the systematic reduction of risks in every phase of the project is a key success factor. Industrial Cloud’s approach is based on a real partnership and shared responsibility: from initial consulting for the definition of realistic specifications, to the pilot project, up to the gradual extension of the MES to the entire plant based on data collected in real operating conditions. This path allows digitalization to be transformed from a complex challenge into a manageable process, ensuring concrete results and sustainable technological development.
Evgenij Ilin
PhD in Chemistry Expert in Digitalization and Innovation in the Chemical and Materials Industry
Industrial Cloud
