Traditional manufacturing processes, whose critical stages depend on manual labour and non-integrated legacy systems, are not up to the task. Also, when production decisions are made on incomplete data, any delay or error on the part of the manufacturer will result in serious financial and reputational losses.
This is why more and more companies see automation in food manufacturing as a remedy for many problems. Instead of relying on manual data entry, companies are investing in technologies that increase predictability, help reduce food waste and run more flexibly. Already, 58% of companies worldwide have implemented solutions that automate a greater number of tasks.
In this article, we analyse how automation can give manufacturing companies a competitive edge and reduce waste in food production. We show how technology increases efficiency, reduces costs and improves product quality. For companies thinking about further growth, we also point out possible next steps, from system integration to the use of artificial intelligence.
Process automation – what it is and why it matters
Production automation is the replacement of repetitive or complex tasks that were previously performed by humans with technology. In food production, it includes both physical automation, for example the introduction of industrial robots that dispense ingredients, mix or package products, and digital process integration, which is provided by IT systems such as MES (Manufacturing Execution System) or SCADA (Supervisory Control And Data Acquisition).
Equally important are digital automated systems that monitor production parameters, such as temperature and humidity, using real-time sensors, and vision systems that provide automatic quality control. These solutions are complemented by advanced production planning and scheduling software that streamlines the organisation of the entire factory.
As a result, automation ensures production repeatability, making it more efficient and resistant to human error, which allows the company to produce more in less time, reduce unit costs and manage resources better.
The introduction of process automation in the food industry is also an important step towards Industry 4.0 and the smart factory. In such a production environment, machines communicate with each other, production data is analysed continuously, and key decisions (like on line speed or recipe adjustments) are made automatically or with minimal human intervention.
As the CRB report shows, almost half (48%) of all capital investments in the food industry are currently related to automation technologies. Companies see them as a way to increase production capacity without a matching increase in operating costs.
In addition, automation significantly improves production flexibility, which is extremely important for a company’s competitiveness. Traditional plants have problems with quickly retooling lines or adapting production plans to changing orders. Modern, modular robots and IT systems solve these problems, enabling rapid production changes.
All this translates directly into maintaining the company’s competitiveness and reducing waste of resources and products. In the following sections of this article, we will show exactly how automation supports the food industry in these two areas.
Automation as a driver of competitive advantage for a manufacturing plant
Competitiveness in the food and beverage industry boils down to offering customers better products than other manufacturers and delivering them faster and cheaper. The automation of production processes directly strengthens each of these areas, becoming a key factor in market advantage.
Here’s what’s behind it.
Higher line efficiency and throughput
Automating production lines significantly increases line throughput. Industrial robots can work faster and without breaks, which translates into shorter production cycles.
A perfect example of the benefits of automation in food manufacturing is the story of a British cheese factory, as described by the Robotics Tomorrow. By implementing a robotic ultrasonic cutting system, the company reduced the time needed for weekly cheese production from 4–5 days to just 2 days. This change allowed for faster order fulfilment and better utilisation of production capacity.
Lower unit production costs
Lower unit production costs are another advantage of automation. Although the initial investment may be significant, in the long run it brings considerable savings. This is achieved by reducing labour costs per unit of product, reducing raw material losses (more on this in the next section) and improving energy efficiency.
Predictive maintenance cuts troubleshooting time and unplanned downtime. In addition, automation enables mass production with the ability to easily create different product variants, which reduces line changeover costs.
Improved quality and compliance
Automated systems not only reduce human error, but also the negative impact of other variables on production: fluctuations in process parameters, equipment malfunctions or lack of continuous quality control.
Production lines equipped with vision systems and sensors eliminate defective products at the production stage – e.g. they detect underfilled packaging, incorrect colour or shape. As a result, the customer receives goods that comply with the specifications, which strengthens the brand’s reputation and reduces the risk of complaints and returns.
Another factor contributing to improved quality and compliance is the repeatability of operations, which ensures better control over recipes and portioning. High-precision ingredient dosing machines guarantee that each portion, for example of a frozen ready meal, has exactly the same composition and weight. This eliminates the need for manual top‑ups and thus reduces costly surpluses. In practice, this means not only consistent quality, but also tangible savings.
Faster response to demand and trends
Automation allows companies to respond much faster to changing demand and market trends – without increasing the number of shifts or hiring additional teams. Advanced production control platforms, integrated with ordering systems, enable almost immediate scalability. If a large customer places a sudden order, an automated line can extend operating hours to 24/7 and increase volume without compromising product quality or incurring a spike in operating costs. Traditional plants can’t match this flexibility.
Some primary‑processing steps are already moving towards a dark factory model— production with virtually no human involvement. Although this is not yet standard in the food industry, this development shows how automation makes production independent of staffing constraints and allows continuity of operations even in difficult conditions.
Better use of data and continuous improvement
Automated processes open up access to production data that was previously often scattered or unavailable in real time. Information on machine performance, cycle times, raw material or energy consumption allows bottlenecks to be quickly identified and decisions to be made based on facts rather than intuition.
An example? If data shows that changeovers on one of their lines are taking too long and limiting its efficiency to 80% of its potential, you can make an informed investment to improve the process.
Automation gives companies the ability to continuously improve their daily operations. Organisations at an advanced level of digital maturity achieve higher margins and better financial results precisely because of their efficient use of data and faster implementation of improvements.
Automation in food manufacturing is a key catalyst for growth today – it allows companies to produce faster without compromising quality, reduce operating costs and better leverage the potential of their teams. According to a Food Engineering survey, nearly half of food companies planned to increase their automation spending in 2023 because sticking with traditional production methods was causing significant problems in maintaining competitiveness.
Automation versus waste: how to reduce production losses
Waste in food production takes many forms, from raw material losses (scraps, waste, defective batches) and energy and time consumption due to downtime to overproduction that cannot be sold.
In the reality of rising prices and pressure for sustainable development, reducing waste is not only a matter of ethics, but also of hard business calculation. Automation in food manufacturingis proving to be one of the most effective tools in this fight.
But what does this actually mean? Let’s take a look at specific areas where technology helps reduce waste.
Better planning and production that meets real needs
Many plants still create ‘just in case’ inventories – a batch destined for the warehouse waits for a surge in demand. Unfortunately, such overproduction often leads to surpluses and losses, especially when it comes to food with a short shelf life.
Advanced planning and scheduling (APS) systems allow production to be synchronised with actual demand and inventory to be managed more effectively.
The example of our client, a producer of ultra-fresh food, illustrates how such a system works. After implementing a production planning tool, they can create accurate order schedules and purchase raw materials a week in advance. The result? Fewer inaccurate forecasts, better matching of semi-finished products and less fresh surplus that needs to be disposed of. Thanks to our system, the team avoided unnecessary orders of as much as 2 tonnes of fresh spinach.
The implementation of such a tool took only a few months, which shows how quickly a critical area of production planning can be digitised.
Precise dosing and measuring
Automated cutting, portioning and dosing lines operate with a level of accuracy that is difficult to expect from humans, regardless of fatigue or working conditions. The use of ingredient dosing systems (like liquids, powders, recipe ingredients) eliminates spillage, transfer losses and guesswork.
This means that the maximum possible number of products is made from a given amount of raw material, and each portion has exactly the same weight and composition. Even minimal savings on a single unit, multiplied by millions of units per year, result in real financial benefits.
Fewer production errors
Automation not only speeds up the detection of defects, but also prevents them. Process control systems monitor, among other things, temperature, processing time and recipe composition, and react automatically when deviations occur.
In practice, this means that errors such as over-pasteurisation or mistakes in composition no longer result in the entire batch having to be discarded. Production runs according to a programmed pattern and every change is monitored in real time.
Studies show that precise digital control of the process can reduce waste by up to 20–30%.
Waste monitoring and ongoing adjustments
Modern production lines are increasingly equipped with sensors and weighing scales that measure the amount of waste in real time – e.g. how many vegetables were rejected during sorting, how much weight was lost during processing. This data allows operators to quickly detect unusual levels of loss and immediately implement corrections, such as checking machine settings, changing calibration or improving raw material quality.
According to a study indexed in PubMed, similar systems in the HoReCa (hotel, restaurant and catering) industry have reduced waste by as much as 23–51%, and the cost of waste per meal has fallen by 39%.
Although the study focused on the HoReCa sector, a similar approach can be applied in manufacturing plants – all you need to do is measure what has been overlooked so far, e.g. monitor losses at various stages of the process and share information with operators and managers.
Safety and quality without losses
Detecting contamination in a batch of finished products can spell financial disaster, not to mention the risk to your image and potential legal consequences. Advanced technological solutions create a multi-layered protective shield against such scenarios.
Fully automated cleaning systems (CIP – Cleaning in Place) guarantee proper disinfection of production lines, which is carried out in accordance with strict hygiene rules. Water temperature and pressure are monitored in real time in accordance with HACCP principles.
Automatic detection systems (e.g. metal detectors, X‑ray scanners that detect foreign objects) operating on the line prevent situations where entire pallets of products have to be withdrawn due to the presence of a single piece of plastic debris, for example – such contamination is detected immediately and only the product in question is rejected. This reduces food waste to the minimum necessary for safety reasons.
Sustainable development and concrete savings
One of the first steps towards sustainable development is to invest in technologies that support lean manufacturing, i.e. the elimination of waste. Digital systems and robots can operate according to the principles of Just-in-time and Just-in-sequence, i.e. delivering exactly what is needed, when it is needed – the basis of lean production.
Less waste means a smaller environmental footprint. Reducing the amount of products thrown away saves water, energy and resources that would otherwise be wasted – and this is just as important today as financial results.
For these reasons, more and more companies are treating automation not only as a way to increase production capacity, but also as a real tool for achieving net zero goals. According to a report by Make UK, as many as 68% of manufacturing companies are already investing in technologies that support sustainable production, with another 22% planning to do so in the coming year.
Accurate, AI-driven decision making
Artificial intelligence is increasingly supporting food production where data and speed of response are crucial. For example, it can analyse historical orders and forecast demand more accurately, which reduces overproduction. AI solutions used in bakeries help determine the demand for bread in specific locations, which significantly reduces the amount of unsold goods.
Machine learning algorithms used in quality control recognise subtle defects before humans are able to detect them. At the maintenance level, AI can predict failures in advance and prevent losses resulting from downtime.
Research shows that the solutions described above can reduce food waste by tens of percent, both in processing and in the case of finished products.
Five areas of automation in the food industry
Not everything can be automated at once – in practice, the best results come from focusing on processes that quickly generate savings and improve efficiency.
In general, the following processes are considered quick wins in automation:
- simple, repetitive and labour-intensive – where the reduction in human labour is greatest (e.g. palletising, packaging),
- high error costs – where automation immediately eliminates losses (e.g. dosing of expensive ingredients, allergen labelling),
- with performance limitations – where a machine can significantly increase the pace of work (e.g. manual sorting vs optical sorter).
Here are five areas where automation brings measurable benefits to the food industry.
Digital monitoring of production processes
IoT sensors, cameras and data collection software allow you to track key production parameters in real time. Production managers can respond immediately to irregularities because current indicators are available at all times in the monitoring system.
Integration of production lines with IT systems
Connecting machines to ERP/MES systems eliminates information silos. Production data flows smoothly into management systems, ensuring consistency of information throughout the plant and reducing the risk of errors.
Automated planning and data analysis
Modern planning systems optimise production, taking into account the availability of materials, production capacity and changes in demand. Historical data analysis allows trends to be identified and processes to be continuously improved.
HACCP-compliant reporting
Automatic monitoring of food safety parameters across manufacturing processes eliminates labour-intensive manual record keeping. Automated inspection systems collect data continuously, generate alarms and create the required reports without human intervention.
Optimisation of internal logistics
Intelligent material flow and work schedule management increases efficiency. Modern software plans the order sequence, minimising downtime, and automated internal transport (AGV) delivers components on time.
By focusing on the processes that deliver the fastest results, automation can deliver real benefits early on in the implementation phase.
The path to modern food production processes
The food industry will always need efficiency and minimisation of losses – these are inherent characteristics of a business with low margins and a sensitive product. Automation is a tool that responds to these needs like no other. That is why its implementation should be high on the strategic agenda of every food manufacturer. As examples from industry leaders show, the reward is not only improved financial results, but also an advantage that will be difficult for others to achieve quickly.
If you are wondering where to start with automation in your company or how to improve existing processes, start with small steps. Identifying the processes that generate the most losses or limit your productivity is an excellent starting point.
See how automation can streamline your production processes and cut waste in your factory.
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