Rockwell Automation’s latest release of the ROKStudios video series arrives at a pivotal moment for manufacturers worldwide, as the industry grapples with accelerating digital transformation, rising customer expectations, and intensifying pressure to deliver sustainable outcomes. The new season moves beyond traditional product showcases to spotlight the strategic thinking of original equipment manufacturers (OEMs) who are redefining what success looks like across the entire machine lifecycle. By gathering voices from packaging leaders, automation specialists, and industry associations, the series offers a panoramic view of how design decisions made today reverberate through commissioning, operation, and long‑term serviceability. This shift reflects a broader market realization that the true value of automation equipment is not measured solely by initial purchase price or first‑year throughput, but by the cumulative performance, adaptability, and resilience it delivers over years of service. For engineers, plant managers, and executives, the insights shared in these interviews provide a practical framework for evaluating supplier partnerships, assessing technology roadmaps, and aligning capital investments with long‑term business goals. As global supply chains become more volatile and regulatory landscapes more complex, the emphasis on lifecycle‑driven strategies offers a competitive advantage that can translate into reduced downtime, lower total cost of ownership, and stronger alignment with sustainability targets. The series thus serves as both a mirror of current industry trends and a roadmap for the next generation of intelligent, connected machinery.
The opening interview with Olaf Clemens of SN Maschinenbau underscores a fundamental shift in how OEMs view cybersecurity—not as an afterthought or a compliance checkbox, but as the foundational layer that enables trustworthy data exchange and resilient machine operation. In an era where industrial equipment is increasingly networked, the potential attack surface expands with every sensor, controller, and cloud connection added to a machine. Clemens argues that embedding security principles from the earliest design stages allows manufacturers to create architectures where data integrity, authentication, and encrypted communication are inherent rather than bolted on. This proactive stance yields tangible benefits: faster commissioning because secure communication protocols are already validated, reduced risk of costly production halts due to cyber incidents, and easier adherence to evolving regulations such as the EU’s NIS2 directive or the upcoming U.S. Cybersecurity Maturity Model Certification requirements. For plant operators, the takeaway is clear—partnering with OEMs who treat cybersecurity as a design imperative translates into higher uptime, smoother integration with Manufacturing Execution Systems (MES), and greater confidence when scaling digital services like remote diagnostics or predictive maintenance. Moreover, a secure foundation facilitates the safe use of emerging technologies such as digital twins and AI‑driven analytics, which rely on trustworthy data streams. As cyber threats continue to grow in sophistication, manufacturers that prioritize security early in the lifecycle will be better positioned to protect intellectual property, maintain supply chain continuity, and deliver the reliable performance that customers demand.
Gian Paolo Crasta, director general of UCIMA, brings an industry‑wide lens to the conversation, highlighting how packaging machinery OEMs are navigating the dual imperatives of flexibility and sustainability while embracing digital services as a value‑adding layer. Modern consumer goods markets demand rapid changeovers, short run lengths, and the ability to handle a multitude of package formats without sacrificing efficiency. Crasta explains that achieving this flexibility requires more than just mechanical adaptability; it calls for modular software platforms, standardized communication protocols, and the capacity to deploy over‑the‑air updates that keep machines aligned with evolving product specifications. At the same time, sustainability pressures are pushing OEMs to reduce energy consumption, minimize material waste, and design for recyclability—goals that can be advanced through data‑driven optimization enabled by connected services. By offering subscription‑based analytics, remote performance monitoring, and outcome‑based service models, OEMs can help customers achieve measurable improvements in Overall Equipment Effectiveness (OEE) while aligning with corporate sustainability targets. Crasta notes that the most successful OEMs are those that view digital services not as a revenue add‑on but as an integral part of the machine’s value proposition, creating feedback loops where operational data informs future design iterations. For manufacturers evaluating new equipment, the advice is to seek suppliers who can demonstrate a clear roadmap for both hardware flexibility and software‑enabled services, ensuring that the investment remains relevant as market demands and regulatory expectations evolve.
Alessandro Rocca of Cama Group delves into how robotics and standardized architectures are reshaping the deployment dynamics for OEMs operating in high‑mix, low‑volume environments. In sectors such as food, pharmaceuticals, and consumer goods, manufacturers frequently face the challenge of producing a wide variety of SKUs on the same line, necessitating rapid changeovers and consistent product quality. Rocca argues that integrating collaborative robots (cobots) with standardized mechanical and electrical interfaces reduces the engineering effort required to adapt a machine to new product configurations. By leveraging plug‑and‑play modules—such as standardized end‑effectors, vision systems, and safety controllers—OEMs can pre‑qualify components, shorten integration timelines, and improve repeatability across multiple installations. This approach not only accelerates time‑to‑market for new packaging formats but also enhances long‑term serviceability, as spare parts and firmware updates become interchangeable across a broader installed base. Furthermore, standardized architectures facilitate the collection and aggregation of operational data, enabling OEMs to offer predictive maintenance services that are grounded in real‑world performance metrics rather than laboratory estimates. Rocca emphasizes that the true advantage lies in the ability to scale these benefits globally: a machine designed with standardization in mind can be deployed in diverse geographic markets with minimal re‑qualification, reducing the total cost of ownership for multinational manufacturers. For decision‑makers, the recommendation is to prioritize OEMs who openly publish their architectural standards and provide clear pathways for module interchangeability, thereby future‑proofing their production lines against evolving product portfolios.
Luis Villegas, president of AMEC Envasgraf, offers a valuable association‑level viewpoint on how OEMs are rethinking the machine lifecycle in response to three intersecting forces: digitalization, sustainability pressures, and evolving skills requirements. Villegas notes that the traditional model of selling a machine as a one‑time project is giving way to a service‑centric paradigm where the equipment’s performance, adaptability, and environmental footprint are continuously monitored and optimized throughout its operational life. Digitalization, he explains, enables the capture of granular data—from energy consumption per cycle to material yield—allowing OEMs to identify inefficiencies and recommend targeted improvements that can be implemented via software updates or minor hardware tweaks. Sustainability imperatives, ranging from carbon‑footprint reduction to compliance with circular economy principles, are prompting OEMs to explore alternative materials, design for disassembly, and integrate energy‑recovery systems into their machines. Simultaneously, the shortage of skilled technicians and engineers is driving OEMs to invest in intuitive human‑machine interfaces, augmented reality‑guided maintenance, and remote expert support, thereby lowering the barrier to effective operation and service. Villegas stresses that successful OEMs are those who treat these challenges not as isolated obstacles but as interconnected levers that, when pulled together, deliver superior lifecycle value. For manufacturers, the practical implication is to vet potential suppliers on their ability to provide transparent lifecycle roadmaps, demonstrate measurable sustainability outcomes, and offer training or support programs that address the skills gap, ensuring that the investment remains productive and compliant over the long haul.
Steve Rackham of Bradman Lake Group illustrates how modular design principles, combined with an integrated ‘process‑to‑pallet’ strategy, are empowering OEMs to tackle the growing complexity of SKU proliferation while enhancing line flexibility and uptime. In modern packaging operations, a single line may need to handle dozens of different package sizes, shapes, and materials, each requiring unique forming, filling, sealing, and labeling steps. Rackham explains that by breaking the line into discrete, interchangeable modules—such as standardized filling stations, sealers, and case packers—OEMs can reconfigure the flow rapidly to accommodate new products without extensive mechanical redesign. The process‑to‑pallet concept extends this modularity beyond the primary packaging machinery to include downstream handling, palletizing, and stretch‑wrapping, creating a seamless flow from raw material to finished pallet ready for shipment. This holistic approach reduces the need for manual intervention, minimizes changeover time, and improves overall line efficiency, as each module can be optimized independently and then synchronized through a unified control system. Moreover, modular architectures simplify troubleshooting and maintenance, because faults can be isolated to specific units without disrupting the entire line. Rackham highlights that customers benefit from faster ramp‑up for new product launches, lower inventory of spare parts due to commonality across modules, and the ability to scale capacity by adding or removing modules as demand fluctuates. For manufacturers evaluating new lines, the key takeaway is to seek OEMs who can demonstrate proven module interchangeability, provide clear documentation of interface standards, and offer scalable service contracts that evolve with the modular architecture.
Michael Lampe of Meurer Verpackungssysteme GmbH sheds light on how OEMs are responding to tightening sustainability regulations and consumer expectations by exploring alternative materials while striving to maintain machine efficiency, flexibility, and lifecycle performance. The shift away from traditional single‑use plastics toward bio‑based polymers, recycled content, and paper‑based substrates introduces new challenges for packaging machinery, including varying melt temperatures, different coefficient of friction, and altered sealing characteristics. Lampe emphasizes that successful adaptation requires a holistic approach: mechanical components such as extruders, forming tools, and sealing bars must be re‑engineered or retrofitted to accommodate the distinct physical properties of these materials; control algorithms need to be adjusted to accommodate variations in material viscosity and thermal behavior; and sensor suites must be upgraded to provide real‑time feedback on web tension, temperature, and seal integrity. Beyond the hardware, Lampe points out that data connectivity plays a crucial role in enabling rapid material changeovers, as recipes can be stored and retrieved instantly, reducing setup time and waste during transitions. He also notes that sustainability goals are not limited to the packaging material itself; energy‑efficient drives, regenerative braking systems, and heat‑recovery units contribute to lowering the machine’s overall carbon footprint. For manufacturers, the practical advice is to engage OEMs early in the material selection process, request validation trials with the specific substrates they intend to use, and ensure that the supplier offers ongoing support for material‑specific optimization, thereby avoiding costly redesigns later in the product lifecycle.
Bino Bastian of ECONO‑PAK discusses the evolution of digital twins from a virtual commissioning tool into a comprehensive lifecycle asset that supports engineering efficiency, collaboration, and post‑startup optimization while addressing cybersecurity, compliance, and traceability requirements. Initially, digital twins were primarily used to simulate machine behavior and validate control logic before physical hardware was built, reducing the risk of costly design errors. Bastian explains that modern implementations extend far beyond this pre‑launch phase, creating a living digital replica that continuously synchronizes with the actual machine through sensor data, enabling real‑time performance monitoring, predictive maintenance, and virtual testing of proposed modifications. This bidirectional flow of information allows engineering teams to experiment with process changes, new product recipes, or equipment upgrades in a risk‑free environment, accelerating innovation cycles. Moreover, the digital twin serves as a centralized repository for compliance documentation, storing calibration certificates, material test reports, and audit trails that can be accessed by regulators or customers upon request. From a cybersecurity standpoint, Bastian stresses that securing the twin’s data links is essential; encryption, role‑based access control, and regular vulnerability assessments help protect intellectual property and ensure that the twin cannot be exploited as a gateway to the operational network. For manufacturers, the actionable insight is to insist that OEMs provide a digital twin as part of the equipment package, clearly define the data exchange standards (such as MQTT or OPC UA), and establish governance policies for data ownership, security, and usage, thereby turning the twin into a strategic asset that drives continuous improvement throughout the machine’s life.
Piers Lamb of Universal Pack emphasizes how designing machines to be ‘data‑ready’ from the outset is unlocking new dimensions of traceability, compliance, and service‑led business models, while simultaneously accelerating commissioning and enhancing long‑term operational performance. In today’s regulatory landscape, particularly within food, pharmaceutical, and consumer goods sectors, the ability to trace every step of the production process—from raw material ingestion to final pallet labeling—is not just a competitive advantage but often a legal requirement. Lamb explains that embedding standardized data collection points, such as encrypted sensors for temperature, pressure, and flow, and ensuring that all data is timestamped and tagged with unique identifiers, enables end‑to‑end traceability without relying on manual logs or disparate systems. This data‑ready foundation also facilitates compliance with frameworks like FSMA, EU Food Information Regulation, and upcoming digital product passport initiatives, as the necessary evidence can be generated automatically and stored securely. Beyond regulation, Lamb highlights that data‑rich machines enable service providers to shift from break‑fix contracts to outcome‑based models, where fees are tied to metrics such as uptime, yield, or energy efficiency, aligning incentives between OEM and customer. Commissioning speed improves because pre‑configured data pipelines reduce the need for custom wiring and manual configuration; instead, engineers can focus on validating that the data streams are accurate and actionable. For manufacturers evaluating new equipment, the recommendation is to verify that the OEM supplies a clear data architecture diagram, supports open communication standards, and offers tools for data visualization and analytics, ensuring that the investment delivers actionable insights rather than raw data that remains underutilized.
Piyush Bhandari of Clearpack Group outlines how OEMs are transitioning from selling standalone machines to delivering intelligent, connected systems that meet evolving consumer demands while preserving security and resilience. The modern consumer expects personalized products, rapid delivery, and transparent sustainability claims—trends that demand packaging lines capable of quick reconfiguration, real‑time quality monitoring, and adaptive resource allocation. Bhandari explains that achieving this agility requires embedding edge computing capabilities, robust connectivity (such as 5G or industrial Wi‑Fi 6), and AI‑driven analytics directly into the machine’s architecture. These elements enable the equipment to sense variations in material properties, detect early signs of wear, and autonomously adjust parameters to maintain optimal performance without constant operator intervention. Moreover, a connected system facilitates the seamless integration of upstream supply‑chain data—such as forecasted demand or raw material quality—allowing the machine to anticipate changes and optimize its operation proactively. Security remains a cornerstone, as Bhandari stresses that each communication layer must be protected with mutual authentication, encrypted tunnels, and regular firmware updates to guard against cyber threats that could compromise product safety or disrupt production. Resilience is enhanced through redundancy in critical functions, local buffering of control logic, and the ability to gracefully degrade performance rather than fail completely when a subsystem encounters an issue. For manufacturers, the practical guidance is to prioritize OEMs who can demonstrate a proven track record of deploying secure, intelligent machines in live environments, provide clear documentation of their cybersecurity framework, and offer scalable service plans that evolve with the machine’s connected capabilities, ensuring that the investment remains aligned with future market demands.
Davide Furini of CT Pack examines how the strategic use of digital tools, pervasive connectivity, and actionable data is enabling OEMs to deliver more resilient machine performance that meets evolving lifecycle requirements and operational demands. In an era where production environments are subject to frequent shifts in demand, raw material variability, and regulatory updates, resilience is no longer a nicety but a necessity for maintaining competitive advantage. Furini argues that deploying a suite of digital tools—including advanced simulation software for virtual commissioning, condition‑monitoring platforms that aggregate vibration, temperature, and power consumption data, and augmented reality applications for guided maintenance—creates a feedback loop where potential issues are identified and addressed before they escalate into costly downtime. Connectivity serves as the nervous system of this approach, allowing sensors, controllers, and cloud services to exchange information in real time, thereby enabling dynamic adjustments to machine parameters based on live feedback. The resulting data streams, when cleaned, contextualized, and analyzed through machine learning models, reveal patterns that can predict component wear, optimize energy usage, and suggest process improvements that enhance yield or reduce waste. Crucially, Furini notes that the true value of these digital investments is realized only when the data is translated into actionable insights accessible to operators, maintenance technicians, and plant managers through intuitive dashboards and alerting systems. For manufacturers seeking to future‑proof their lines, the advice is to partner with OEMs who not only supply the hardware but also provide comprehensive data management platforms, clear data ownership policies, and training programs that empower the workforce to leverage analytics effectively, thereby turning data into a tangible driver of continuous improvement.
The collective insights from these ten OEM leaders converge on a clear narrative: the future of industrial automation lies in lifecycle‑driven strategies that tightly integrate design foresight, secure data flows, and ongoing service innovation. Rather than viewing a machine as a static asset delivered at the point of sale, forward‑thinking OEMs are treating it as a platform that evolves alongside the manufacturer’s product portfolio, regulatory landscape, and sustainability ambitions. This perspective shifts the evaluation criteria from upfront capital expenditure to total value over the machine’s operational lifespan, encompassing factors such as adaptability to new materials, ease of cybersecurity updates, speed of commissioning, and the ability to generate actionable intelligence that drives continuous improvement. For manufacturers navigating this evolving terrain, several actionable steps emerge: first, prioritize suppliers who can demonstrate a proven architecture for modularity and standardization, ensuring future flexibility; second, insist on cybersecurity being embedded in the design phase, backed by verifiable compliance with standards such as ISA/IEC 62443; third, seek partners who offer a digital twin as part of the package, with transparent data governance and security controls; fourth, evaluate the depth and accessibility of the OEM’s data‑enabled services, favoring outcome‑based models that align incentives; and fifth, engage early in discussions about sustainability goals, validating that the equipment can handle target materials and incorporates energy‑efficient technologies. By adopting this holistic, lifecycle‑centric approach, manufacturers can reduce total cost of ownership, enhance resilience to disruptions, and position themselves to capitalize on the opportunities presented by the next wave of intelligent, connected automation.