Category: Beverage & FMCG Line Optimisation

  • Robotics and Cobots on Australian Bottling and Canning Lines

    A Shift Beyond Traditional Fixed Automation

    Automation is nothing new to Australian bottling and canning lines, PLC controlled conveyors, fillers, labellers, and seamers have been standard equipment for decades. What is changing is the growing accessibility of robotics and collaborative robots, commonly known as cobots, for tasks that were previously either manual or handled by expensive, custom fixed automation. For FMCG manufacturers evaluating where robotics genuinely make sense on their production lines, understanding the practical differences between traditional industrial robots and cobots, and where each fits, is an increasingly relevant question.

    Traditional Industrial Robots: Speed and Payload

    Traditional industrial robots, the kind used for high speed palletising, case packing, and pick and place applications on large scale bottling and canning lines, are built for speed, precision, and continuous duty cycles at significant payload. These systems typically operate within dedicated safety enclosures, physically separated from human workers during operation, because their speed and force make unguarded operation unsafe. They remain the right choice where genuine high speed, high volume throughput is required, such as end of line palletising on a large canning operation running continuously across multiple shifts.

    The trade off is cost and flexibility. Traditional industrial robotic systems typically require significant capital investment, dedicated safety guarding, and a longer design and commissioning timeframe, making them most justifiable where production volume genuinely warrants the investment and where the task is well defined and unlikely to change significantly over the equipment’s service life.

    Collaborative Robots: Flexibility at Lower Volume

    Cobots are designed specifically to operate safely alongside human workers without the extensive guarding traditional industrial robots require, using built in force and speed limiting to stop or slow down if they encounter unexpected contact. This fundamentally changes the economics and practicality of robotic automation for many FMCG applications. A cobot can often be deployed on a section of an existing line without a major layout redesign, redeployed to a different task relatively easily if production needs change, and programmed by production staff with moderate technical training rather than requiring specialist robotics programming expertise for every adjustment.

    This makes cobots particularly well suited to mid volume production lines, tasks with some variability, such as handling multiple product formats, and applications where the capital and complexity of a traditional robotic cell simply cannot be justified. Common applications on Australian bottling and canning lines include secondary packaging tasks, quality inspection handling, and repetitive pick and place tasks that are physically demanding or repetitive for human operators, without requiring the extreme speed of a dedicated high volume robotic cell.

    Integration With Existing Control Systems

    A significant practical consideration for any robotics or cobot deployment is integration with existing line control systems. A robotic cell or cobot installation does not operate in isolation, it needs to communicate reliably with the broader line PLC, whether that is an Allen Bradley or Siemens platform, to coordinate timing with upstream and downstream equipment, respond correctly to line stoppages, and integrate with existing safety systems. Poorly integrated robotics can become a bottleneck or a new source of downtime rather than a genuine efficiency improvement, if the communication and safety integration with the existing line is not properly engineered.

    This is where combined mechanical and electrical automation expertise matters. Selecting and mechanically installing a robotic or cobot system is only part of the project, the control system integration, safety interlocking, and communication with existing PLC infrastructure is equally critical to a successful deployment.

    Making the Business Case

    The business case for robotics or cobot deployment on a bottling or canning line typically rests on a combination of factors: labour cost and availability for the specific task, the physical demands or injury risk of the manual task being replaced, and the production volume and consistency the automation needs to support. Given the skilled trades and general labour shortage affecting food and beverage manufacturing, automating physically repetitive tasks can also help manufacturers redeploy existing staff toward higher value, more skilled roles rather than simply reducing headcount.

    For lower volume or highly variable production, cobots frequently offer a more sensible entry point into robotic automation than traditional industrial robotic cells, given their lower capital cost, reduced guarding requirements, and greater flexibility to be redeployed or reprogrammed as production needs evolve.

    A Practical, Staged Approach

    Manufacturers considering robotics or cobots on their bottling or canning lines are generally best served by a staged approach: identifying a specific, well defined task where automation offers clear value, whether reducing a repetitive manual handling task or addressing a genuine production bottleneck, and piloting a solution on that task before considering broader deployment. This allows the organisation to build genuine operational experience with robotic automation, and to validate integration with existing control systems and workflows, before committing to a larger scale investment.

    Maintenance Considerations for Robotic Systems

    Robotics and cobots introduce a maintenance profile that differs from traditional fixed automation, and this is worth genuine consideration before committing to a deployment. While cobots are generally designed for straightforward maintenance and typically require less specialised servicing than large traditional robotic cells, both categories of equipment still require staff with the skills to diagnose faults, whether mechanical, electrical, or software related, and to safely carry out repairs or recalibration when required. Manufacturers considering a first robotics deployment need to plan not just for the initial installation, but for the ongoing servicing and technical support the equipment will require across its operating life, including access to spare parts and manufacturer technical support where in house capability is not sufficient.

    This is another area where an engineering partner with broad automation experience across multiple platforms and applications adds genuine value, providing a single point of contact for robotics maintenance and troubleshooting alongside the broader control system and mechanical support already in place for the rest of a production line.

    Safety Certification and Standards Compliance

    Regardless of whether a traditional industrial robot or a cobot is selected, safety certification and standards compliance remain essential, covering aspects such as risk assessment specific to the application, verification of any safety rated force and speed limiting functions on cobots, and appropriate integration with existing machine safety systems on the broader line. This is not an area where shortcuts are acceptable, and working with an engineering partner who understands both robotics integration and broader machine safety compliance requirements ensures a deployment is genuinely safe, not just operationally functional.

    Engineering Support for Robotics Integration

    With combined mechanical, electrical, and automation capability under one team, BevTech supports FMCG manufacturers evaluating and implementing robotics and cobot solutions on their production lines, from initial feasibility assessment through mechanical installation and full integration with existing Allen Bradley or Siemens control systems. To discuss whether robotics or cobot automation makes sense for a specific task on your line, contact BevTech at 25 Silvio St, Richlands QLD 4077, or admin@bevtech.com.au.

  • Energy Efficiency Retrofits for Beverage Manufacturing Equipment

    Energy Costs as a Growing Operational Pressure

    Rising electricity costs have moved energy efficiency from a background consideration to a genuine operational priority for many Australian beverage manufacturers. Refrigeration systems, compressed air, pumps, and heating processes such as hot water rinse and clean in place cycles are among the largest energy consumers on a typical beverage production site, and in many cases, the equipment and control systems managing these processes were designed years ago, when energy costs and efficiency expectations were significantly different. Retrofitting existing equipment for improved energy efficiency, rather than waiting for a full equipment replacement cycle, is an increasingly practical option worth genuine consideration.

    Refrigeration: The Largest Opportunity on Most Sites

    Refrigeration systems, whether supporting beer tank temperature control, cold storage, or process cooling, are typically among the most energy intensive equipment on a beverage manufacturing site, and also among the areas offering the greatest potential for efficiency improvement through control system upgrades rather than full mechanical replacement. Older refrigeration control systems often run on relatively basic thermostatic or fixed setpoint logic, cycling compressors on and off in response to simple temperature thresholds without accounting for factors such as ambient conditions, actual production demand, or the efficiency losses associated with frequent compressor cycling.

    Upgrading refrigeration control to a modern PLC based system, of the kind BevTech has implemented using Siemens platforms and ABB variable speed drives for glycol refrigeration applications, allows significantly more sophisticated control logic: modulating compressor and pump speed to match actual cooling demand rather than simple on off cycling, and optimising setpoints based on real time conditions rather than fixed, conservative values set at original commissioning. This kind of control upgrade can often be delivered without replacing the underlying mechanical refrigeration equipment, making it a comparatively cost effective efficiency improvement relative to full system replacement.

    Compressed Air: The Hidden Cost Centre

    Compressed air is frequently described as the most expensive utility on a manufacturing site relative to its actual delivered energy, because of the significant conversion losses inherent in generating and distributing compressed air compared to using electricity or other energy sources more directly. Leaks in ageing compressed air distribution systems are extremely common and often go unaddressed for years, since individual leaks rarely cause an operational problem, they simply waste energy continuously in the background.

    A structured compressed air audit, identifying and repairing leaks, reviewing system pressure settings for unnecessary margin above actual equipment requirements, and assessing whether compressor control strategy matches actual demand patterns across a production shift, frequently identifies meaningful energy savings with relatively modest investment, particularly on sites where the compressed air system has not been reviewed since original installation.

    Hot Water and CIP Systems: Precision Over Conservative Margins

    Hot water rinse and clean in place systems, essential to hygiene compliance in beverage manufacturing, are also significant energy consumers, given the water heating and pumping involved. Older systems are frequently controlled with generous safety margins built into temperature, flow, and cycle time settings, reflecting a conservative approach at original commissioning rather than precise, validated requirements. Reviewing and, where appropriate, tightening these parameters, supported by more precise temperature and flow sensing and control logic, can reduce energy and water consumption without compromising the hygiene outcomes the system exists to deliver.

    This is a genuine engineering balance rather than a simple efficiency exercise, since hygiene compliance cannot be compromised for the sake of energy savings, but many existing systems carry more conservative margin than is genuinely required once actual process validation data is properly reviewed.

    Motor and Drive Efficiency

    Older fixed speed motors running conveyors, pumps, and fans throughout a production facility represent another common efficiency opportunity. Retrofitting variable speed drives to motors that were previously running at fixed speed regardless of actual demand allows motor speed, and therefore energy consumption, to be matched to actual process requirements. This is particularly effective on pump and fan applications, where energy consumption relates non linearly to speed, meaning even modest speed reductions during periods of lower demand can deliver meaningful energy savings.

    Building a Realistic Retrofit Business Case

    The business case for energy efficiency retrofits should be built around genuine, measurable opportunities rather than generic assumptions. This starts with identifying the largest energy consumers on a specific site, refrigeration, compressed air, and heating processes are common candidates but the actual priority varies by facility, and assessing where control system or equipment upgrades offer the clearest path to reduced consumption without unacceptable capital cost or production disruption. Metering and monitoring existing energy consumption, even at a relatively basic level, provides the baseline data needed to validate savings once a retrofit is implemented, and to prioritise which opportunities to pursue first.

    Measuring and Verifying Actual Savings

    A retrofit project is only genuinely successful if the anticipated energy savings are actually realised and can be demonstrated, rather than assumed based on theoretical calculations alone. Installing basic metering before a retrofit is implemented, whether on a specific refrigeration system, compressed air installation, or a broader section of a facility, provides the baseline needed to measure actual consumption before and after the change. This verification step matters both for validating the specific project’s business case, and for building a manufacturer’s confidence in pursuing further efficiency initiatives based on demonstrated, rather than theoretical, results.

    Where energy efficiency projects are pursued partly to support broader sustainability reporting or ISO 14001 environmental management objectives, this measured, verifiable approach to savings also provides genuinely credible data for that reporting, rather than estimates that may not withstand scrutiny from customers or certification auditors.

    Considering Government Incentives and Support Programmes

    Various state and federal programmes periodically offer incentives, rebates, or co funding for industrial energy efficiency projects, particularly those involving measurable, verified savings of the kind described above. While the specific programmes available change over time, manufacturers planning a significant retrofit project are generally well served by checking current eligibility before finalising project scope, since available incentives can materially improve the business case for equipment or control system upgrades that might otherwise sit on the margin of being cost justified.

    An Incremental, Evidence Based Approach

    Energy efficiency retrofits do not need to be pursued as a single large capital project. A staged approach, starting with the highest value, most clearly justified opportunities such as refrigeration control upgrades or compressed air leak repair, allows manufacturers to build genuine evidence of savings before committing to broader retrofit programmes across a facility. With combined mechanical, electrical, and automation capability, BevTech supports FMCG manufacturers through this process, from initial energy use assessment through control system and equipment retrofit delivery. To discuss energy efficiency opportunities on your production site, contact BevTech at 25 Silvio St, Richlands QLD 4077, or admin@bevtech.com.au.

  • Reducing Changeover Downtime on Filling and Labelling Lines

    Reducing Changeover Downtime on Filling and Labelling Lines

    For beverage manufacturers running multiple SKUs across the same filling and labelling line, changeover time is one of the most predictable, repeated sources of lost production capacity, yet it rarely gets the same structured improvement attention as unplanned breakdowns. A changeover is planned, expected, and built into the production schedule, which paradoxically makes it easy to treat as an unavoidable fixed cost rather than a process that can be systematically shortened.

    Why changeovers deserve more scrutiny

    Unplanned downtime tends to attract investigation because it disrupts the schedule unexpectedly. Changeover time, by contrast, is simply absorbed into the plan, which means a line running ten SKU changeovers a week at forty five minutes each, when a well optimised process could achieve the same changeover in twenty five minutes, loses over three hours of available production time weekly without ever showing up as a notable incident on a downtime report. Across a year, that gap compounds into a significant volume of recoverable capacity, often enough to defer or avoid a capital investment in additional line capacity altogether.

    Where changeover time actually goes

    A detailed time study of a typical changeover usually reveals that the time is not evenly distributed across the process. Container and format specific tooling changes, adjusting guide rails, star wheels, and infeed and outfeed conveyor guides for a new bottle or can size, frequently account for a disproportionate share of total changeover time, particularly on older equipment not originally designed with quick change tooling in mind. Label format changes on the labeller, recipe and parameter changes on the filler, and verification and quality checks before restarting the line at full speed each add further time, and the order in which these tasks are sequenced often creates unnecessary serial delays where parallel work would be possible with better planning.

    Mechanical interventions that shorten changeover

    Several mechanical design improvements consistently reduce changeover time on multi format lines. Quick release guide rail and star wheel systems, designed for tool free or minimal tool adjustment, cut the mechanical reconfiguration time considerably compared to fully bolted systems requiring extensive manual adjustment. Purpose built container handling solutions, such as inverter blocks used for product rotation during coding, rinsing, drying, or sterilisation steps, can also be specifically engineered to accommodate quick changeovers, reducing one of the more fiddly aspects of multi format conveyor reconfiguration. Where conveyor accumulation and transfer points are properly sized and designed for the range of formats a line actually runs, rather than optimised only for the most common format, changeover related conveyor adjustment time drops correspondingly.

    Automation and recipe management

    On the control system side, well structured recipe management on the PLC and HMI allows operators to select a stored format profile rather than manually re-entering filler parameters, labeller settings, and line speed targets for each changeover. This not only saves time directly but reduces the risk of operator error during the changeover, which is itself a common source of quality issues or restart delays immediately following a changeover. For lines still running on older control platforms without structured recipe management, this is frequently one of the more cost effective automation upgrades available, since it leverages existing equipment rather than requiring new capital purchase.

    Sequencing and parallel work

    Beyond mechanical and automation improvements, a surprising amount of changeover time can be recovered simply by reviewing the sequence of tasks. Many changeover procedures evolved informally over years rather than being deliberately designed, and frequently include tasks performed serially that could be performed in parallel by two technicians working different sections of the line simultaneously, or preparation steps, such as staging the next format’s tooling and label rolls, that could be completed before the line actually stops rather than after.

    Building the business case

    For procurement and operations teams, the case for investing in changeover reduction should be built around the recovered production time multiplied by the line’s contribution margin per hour of output. Even modest reductions, ten to fifteen minutes per changeover on a line running several changeovers weekly, compound into a meaningful annual capacity gain, often comparable to a fraction of a new shift’s worth of output, without the ongoing labour cost that an additional shift would carry.

    Engineering support for changeover improvement

    Bevtech Engineering and Automation works across both the mechanical and electrical automation dimensions of changeover reduction, from quick change conveyor and tooling design through to PLC recipe management upgrades, drawing on over 25 years of experience specifically within beverage and FMCG production environments. To discuss a changeover time study and improvement plan for your filling or labelling line, contact Bevtech on +61 400 881 321 or admin@bevtech.com.au, or visit 25 Silvio St, Richlands QLD.

  • Sensor Based Quality Control: Cutting Waste and Rework on the Production Floor

    Sensor Based Quality Control: Cutting Waste and Rework on the Production Floor

    Quality control on many beverage and FMCG production lines still relies heavily on manual checks, an operator periodically pulling samples for fill level, label placement, or cap seal verification. This approach has an inherent limitation that is easy to overlook, by the time a manual check identifies a defect, an unknown number of units produced since the last check may share the same fault, and all of that material, labour, and line time has already been consumed before the problem was caught.

    The cost of catching defects late

    Consider a filling line where an operator checks fill levels every fifteen minutes. If a fill head begins drifting out of specification shortly after a check, the line could run for up to fifteen minutes producing underfilled or overfilled product before the next manual check catches it. Every unit produced during that window represents wasted material, wasted packaging, wasted labour time, and in regulated categories, a potential compliance issue if the product reaches the market underfilled. Multiply this scenario across fill level, label placement, cap seal integrity, and case packing accuracy, and the cumulative waste from delayed defect detection across a typical shift can be substantial, even when each individual manual check is performed conscientiously.

    How sensor based quality control changes the equation

    Sensor based and vision inspection systems check every unit, or a statistically meaningful high frequency sample, rather than periodic spot checks, which means a developing fault is caught within seconds rather than minutes. Modern vision systems can verify label placement and print quality, check fill levels via load cell or vision based fill height detection, confirm cap seal integrity, and verify case pack counts and orientation, often integrated directly into the line’s existing control system so that a detected fault can automatically trigger a reject mechanism, an alarm, or in more serious cases, a line stop before further defective product is produced.

    Because these checks happen continuously rather than periodically, the feedback loop between a developing equipment issue, such as a fill head beginning to wear, and corrective maintenance action also shortens considerably. Rather than discovering a fill head problem during a routine manual check, the trend in sensor data can flag gradual drift before it crosses the defect threshold at all, supporting a shift toward predictive rather than purely reactive maintenance.

    Integration with existing equipment

    One of the more practical considerations for plant managers evaluating sensor based quality upgrades is integration with existing filling, labelling, and packaging equipment rather than requiring full line replacement. Vision systems and sensors can typically be retrofitted to existing equipment and integrated into the line’s PLC, whether Allen Bradley or Siemens based, allowing reject logic and data logging to work within the existing control architecture rather than as a disconnected bolt on system. This integration work is where automation expertise matters most, since a poorly integrated sensor system that generates excessive false rejects or fails to communicate reliably with the line PLC can create more operational friction than the manual process it replaced.

    The waste and rework return on investment

    The financial case for sensor based quality control rests on three categories of saving, reduced material waste from product caught and corrected earlier rather than produced in bulk before detection, reduced labour cost from dedicated manual inspection roles being redirected to higher value tasks, and reduced risk of a quality escape reaching a customer or retail partner, which in FMCG supply relationships with major retailers and beverage brands can carry contractual and reputational consequences well beyond the cost of the defective units themselves. For lines producing high volumes of product where even a small defect rate translates into meaningful absolute waste, the payback period on a sensor based quality upgrade is frequently inside one to two years.

    Planning a sensor based quality upgrade

    A well planned implementation starts with identifying the highest value inspection points, typically wherever manual checks are currently least frequent relative to the consequence of a missed defect, followed by selecting sensor and vision technology suited to the specific check required, and finally integrating the system with existing control architecture so detected faults trigger an appropriate automated response. Because this work spans both mechanical integration and PLC programming, it benefits from a partner with genuine capability across both electrical automation and production line engineering.

    Automation expertise for quality improvement projects

    Bevtech Engineering and Automation’s automation services include sensor based quality control implementation as part of a broader capability spanning conveyor optimisation, filling and labelling machinery tuning, and software integration for inventory and production data management. With a team of control system engineers experienced across Allen Bradley and Siemens platforms, Bevtech can design and integrate a sensor based quality solution that works within your existing line architecture rather than requiring a disruptive rebuild. To discuss a quality control upgrade for your production line, contact Bevtech on +61 400 881 321 or admin@bevtech.com.au, or visit 25 Silvio St, Richlands QLD.

  • Optimising Bottling Line Throughput Without Capital Expansion

    Optimising Bottling Line Throughput Without Capital Expansion

    When demand outgrows current production capacity, the instinctive response in many beverage manufacturing businesses is to scope a capital expansion, a new line, a faster filler, or an additional shift’s worth of equipment. This instinct is understandable, since capacity constraints feel urgent and a new asset feels like a direct, tangible solution. It is also frequently the more expensive path when the existing line still has meaningful throughput headroom that has simply never been systematically pursued.

    The case for optimisation before expansion

    Most production lines, even well run ones, operate at an overall equipment effectiveness, or OEE, considerably below their theoretical maximum, due to the accumulated effect of minor stoppages, changeover time, speed losses, and quality related rework. A line nominally rated for a certain output per hour but actually averaging meaningfully less due to these losses has, in effect, hidden capacity already paid for in the original capital investment, simply waiting to be recovered through targeted improvement rather than additional spend. Pursuing this recoverable capacity before committing to expansion capital is not just cheaper, it is also faster, since debottlenecking an existing line can typically be implemented in weeks, while a new line or major equipment purchase involves a capital approval cycle, lead time, and installation period measured in months.

    Identifying where throughput is actually lost

    A structured throughput review starts with breaking down total line stoppage time into categories, mechanical breakdowns, electrical and control faults, changeover time, minor stoppages and jams, and speed losses where the line runs below its rated speed even while technically operational. This breakdown frequently reveals that the largest single category is not major breakdowns, which tend to attract attention and resourcing already, but the accumulation of minor stoppages and changeover time, which are individually small but collectively substantial, and which receive comparatively little structured improvement focus precisely because no single instance looks significant enough to investigate.

    Debottlenecking the constraint point

    Every line has a genuine bottleneck, the single piece of equipment or process step whose maximum sustainable speed sets the ceiling for the entire line’s output, regardless of how fast other equipment could theoretically run. Improving anything other than the actual bottleneck does not increase overall line throughput, it simply creates more idle capacity elsewhere. Correctly identifying the true bottleneck, which is not always the equipment that appears slowest in isolation once changeover and stoppage patterns are factored in, is the essential first step before investing in any throughput improvement work, since misdirected investment in non bottleneck equipment delivers no net throughput gain at all.

    Automation tuning as a low capital lever

    Once the bottleneck is identified, automation and control system tuning often delivers throughput gains without significant capital outlay. This can include optimising PLC timing parameters that were conservatively set during original commissioning and never revisited, improving conveyor accumulation logic to reduce upstream and downstream starvation and blocking, and implementing sensor based quality checks that catch issues earlier and reduce the line stoppages caused by downstream quality failures being traced back to their source. Because this work uses existing equipment, the capital cost is a fraction of new equipment purchase, while the throughput gain can still be substantial.

    Maintenance reliability as a throughput strategy

    Improving maintenance reliability, through better preventative maintenance scheduling, proactive electrical and mechanical audits, and faster breakdown response, directly increases effective line uptime without touching the line’s rated speed at all. A line that runs reliably at its existing rated speed for more hours per week often delivers a larger practical throughput gain than a faster line that suffers frequent unplanned stoppages, since theoretical top speed is irrelevant if the line is not actually running.

    When expansion is genuinely the right call

    None of this is an argument against capital expansion in every case. Once a line is genuinely optimised and is consistently running near its realistic maximum sustainable throughput, and demand still exceeds what that optimised capacity can deliver, expansion becomes the correct next step, and the optimisation work undertaken first ensures the expansion business case is built on an accurate picture of true existing capacity rather than an inflated estimate that has never accounted for recoverable losses.

    A structured throughput assessment

    Bevtech Engineering and Automation works with beverage and FMCG manufacturers to identify bottlenecks, tune automation and control systems, and improve maintenance reliability across filling, labelling, and conveyor systems, drawing on direct project experience including conveyor design, PLC optimisation, and sensor based quality integration. Before committing capital to expansion, it is worth having an independent throughput assessment to understand how much capacity is recoverable from existing assets. Contact Bevtech on +61 400 881 321 or admin@bevtech.com.au, or visit 25 Silvio St, Richlands QLD.

  • CIP System Upgrades: Protecting Product Quality and Compliance

    CIP System Upgrades: Protecting Product Quality and Compliance

    Clean in place, or CIP, systems do not produce a single unit of saleable product, yet they sit directly on the critical path for both product quality and regulatory compliance on most beverage production lines. A CIP process that is unreliable, poorly instrumented, or running on outdated control logic creates risk on two fronts simultaneously, it can compromise the hygiene standard the cleaning cycle is meant to deliver, and it can delay the next production run if the cycle does not complete correctly and needs to be repeated before the line can restart.

    Why CIP reliability deserves more attention

    Because CIP cycles typically run during off peak hours, overnight or between production runs, control system faults in the CIP process are often discovered at the worst possible time, when the morning shift arrives expecting a clean line ready for production and instead finds an incomplete or failed cleaning cycle that needs to be rerun before anything else can happen. This not only delays the start of production but compresses the available production window for that day, with knock on effects across despatch schedules and customer commitments. Beyond the operational disruption, an unreliable CIP process creates genuine food safety and quality assurance risk, since the entire purpose of the cycle is to meet a defined hygiene standard before product contact equipment returns to service.

    A practical example: hot water rinse upgrade for a can seamer

    A useful illustration of what good CIP control delivers comes from a recent project where a customer’s quality assurance requirements called for the implementation of a hot water rinse as part of the CIP cleaning process for their can seamer. The upgrade involved installing a Siemens 1200 series PLC, a Siemens HMI, temperature sensors, flow sensors, and associated control gear, allowing the cleaning process to be started and stopped directly from the HMI with configurable parameters and diagnostic feedback built in. This kind of upgrade transforms a CIP process from a manual, loosely monitored sequence into a controlled, repeatable cycle with proper temperature and flow verification, parameters that matter directly to whether the cleaning standard actually meets the required QA specification rather than simply being assumed to have worked.

    What modern CIP control delivers

    A well instrumented CIP system, with temperature sensors, flow sensors, and conductivity monitoring where chemical concentration matters, provides verifiable evidence that each cleaning cycle met its required parameters, rather than relying on operator assumption that a cycle of a certain duration was sufficient. This matters enormously for audit and compliance purposes, since a documented, data logged CIP cycle gives a clear record to demonstrate to auditors or customers that hygiene standards were consistently met, rather than depending on manual logbooks that are easy to fill in retrospectively and difficult to verify.

    From an operational reliability perspective, HMI based diagnostics also mean that when a CIP cycle does fail or run outside parameters, the cause is immediately visible, a low flow alarm, a temperature that did not reach setpoint, a valve that failed to actuate, rather than requiring a technician to manually trace through the entire cleaning sequence to identify what went wrong. This dramatically shortens the time needed to diagnose and rerun a failed cycle, reducing the knock on delay to the next production run.

    The compliance and downtime business case

    For procurement and operations teams evaluating a CIP control upgrade, the business case combines two distinct value streams, reduced compliance and quality risk from verifiable, data logged cleaning cycles that withstand audit scrutiny, and reduced production delay from faster fault diagnosis and fewer failed cycles requiring a full rerun. Both of these are difficult to quantify with the same precision as a direct throughput improvement, but for manufacturers supplying major retail or beverage brand customers who routinely audit supplier hygiene and quality systems, the compliance assurance value alone often justifies the investment.

    Engineering support for CIP system upgrades

    Bevtech Engineering and Automation has direct project experience upgrading CIP control systems for food and beverage manufacturers, including Siemens PLC and HMI based hot water rinse control for can seamer cleaning processes, with full temperature, flow, and diagnostic instrumentation. The team’s combination of electrical automation expertise and food and beverage industry experience means CIP upgrades are designed with both the engineering and the compliance requirement in mind. To discuss a CIP system review or upgrade for your facility, contact Bevtech on +61 400 881 321 or admin@bevtech.com.au, or visit 25 Silvio St, Richlands QLD.