Rockwell Automation has launched a new season of its ROKStudios video series, bringing together leading voices from the machine‑building community to explore how original equipment manufacturers are reshaping the way machines are conceived, built, and maintained throughout their entire lifespan. Filmed against the backdrop of Interpack 2026 in Düsseldorf, the episodes capture insights from executives who are on the front lines of packaging and manufacturing innovation. The series moves beyond isolated product launches to examine the strategic shifts required to deliver sustained value from design through commissioning and long‑term operation. By highlighting real‑world examples, the videos illustrate how OEMs are responding to evolving customer expectations, rising complexity, and stricter performance benchmarks. Viewers will hear how leaders are integrating cybersecurity, data analytics, modular architectures, and sustainability considerations into their core development processes. The series underscores a growing recognition that early‑stage decisions ripple across the entire lifecycle, influencing uptime, serviceability, and total cost of ownership. For automation professionals, engineers, and business strategists, these conversations offer a roadmap for aligning technology investments with long‑term business goals. The fresh installment builds on more than 150 prior recordings, reinforcing Rockwell Automation’s commitment to thought leadership in the connected enterprise era.
Olaf Clemens, CEO of SN Maschinenbau, places cybersecurity at the heart of modern machinery design, arguing that protecting data flows is no longer an optional add‑on but a foundational requirement for connected equipment. He explains that as machines become increasingly networked, the potential attack surface expands, making robust security measures essential for safeguarding intellectual property, maintaining production continuity, and ensuring compliance with emerging regulations. Clemens outlines a layered approach that begins with secure hardware design, extends to encrypted communications, and incorporates continuous monitoring and threat intelligence. By embedding security early in the development cycle, OEMs can reduce costly retrofits, minimize downtime caused by cyber incidents, and build trust with customers who demand assured data integrity. The discussion also highlights how security enables new business models, such as remote diagnostics and predictive maintenance, which rely on the reliable exchange of sensitive operational data. Clemens points out that treating cybersecurity as a lifecycle asset rather than a one‑time checklist item aligns with broader trends toward resilience and long‑term value creation. For machine builders aiming to stay competitive, investing in comprehensive security frameworks now translates into stronger market positioning and reduced risk exposure later.
Gian Paolo Crasta, director general of UCIMA, provides a panoramic view of how packaging machinery OEMs are rethinking machine architecture to satisfy simultaneous demands for flexibility, digital service integration, and measurable lifecycle performance. He notes that today’s consumers expect rapid product changeovers, personalized packaging, and environmentally responsible materials, all of which pressure manufacturers to design equipment that can adapt quickly without sacrificing output quality. Crasta emphasizes the importance of standardizing interfaces and adopting open‑protocol communication to enable seamless integration with cloud‑based analytics platforms. This openness allows OEMs to offer value‑added services such as real‑time performance dashboards, remote firmware updates, and usage‑based pricing models. At the same time, he stresses the need to balance sustainability goals with productivity targets, highlighting innovations like energy‑efficient drives, lightweight materials, and modular tooling that reduce waste and energy consumption. Crasta argues that by treating flexibility and digital readiness as core design principles rather than afterthoughts, OEMs can create machines that not only meet current market needs but also remain adaptable to future technological shifts, thereby extending their commercial relevance and reducing total ownership costs.
Alessandro Rocca, vice president of global sales at Cama Group, examines how robotics and standardized architectures are accelerating machine deployment while improving repeatability and scalability in high‑mix production settings. He observes that the proliferation of stock‑keeping units (SKUs) demands equipment capable of handling frequent changeovers with minimal downtime, a challenge that traditional fixed‑automation struggles to meet. Rocca highlights the role of collaborative robots and standardized mechanical interfaces in enabling rapid reconfiguration, allowing manufacturers to switch between product variants with reduced engineering effort. By leveraging pre‑validated motion libraries and plug‑and‑play components, OEMs can compress commissioning timelines from weeks to days, thereby increasing overall equipment effectiveness. Furthermore, standardized architectures facilitate data collection across disparate machines, creating a unified view of line performance that supports continuous improvement initiatives. Rocca points out that the repeatability gained through robotic precision translates into consistent product quality, lower scrap rates, and enhanced traceability—key factors for industries governed by strict regulatory regimes. He advises OEMs to invest in modular robotic cells and open‑architecture control systems as a strategic hedge against market volatility, ensuring that production lines remain agile and future‑ready.
Luis Villegas, president of AMEC Envasgraf, offers an industry association perspective on how OEMs are revisiting the entire machine lifecycle in response to digitalization, sustainability pressures, and evolving skill sets. He explains that the traditional model of delivering a machine as a one‑off project is giving way to a service‑oriented approach where ongoing support, performance guarantees, and incremental upgrades become integral to the value proposition. Villegas notes that digital tools such as cloud‑based monitoring, AI‑driven analytics, and digital twins are enabling OEMs to shift from reactive maintenance to proactive optimization, thereby extending equipment lifespan and reducing unexpected failures. At the same time, he highlights the growing importance of sustainability criteria, urging manufacturers to evaluate the environmental impact of materials, energy consumption, and end‑of‑life recyclability during the design phase. Skills challenges also come into focus, as the workforce must adapt to new technologies that require expertise in data science, cybersecurity, and advanced robotics. Villegas advocates for closer collaboration between OEMs, system integrators, and educational institutions to develop training programs that equip technicians with the competencies needed to support smart, connected machinery throughout its operational life.
Steve Rackham, group technical manager at Bradman Lake Group, discusses how modular design principles and integrated ‘process‑to‑pallet’ strategies are helping OEMs navigate SKU complexity while boosting uptime and building future‑ready packaging lines. He explains that by breaking down a packaging line into interchangeable modules—such as filling, sealing, labeling, and palletizing—manufacturers can isolate faults, perform targeted upgrades, and re‑configure sections without disrupting the entire operation. This modularity not only simplifies maintenance but also enables rapid scaling of capacity to match fluctuating demand. Rackham further describes the process‑to‑pallet concept, where the entire journey from raw material handling to finished pallet is treated as a cohesive, data‑linked workflow. Sensors embedded at each stage capture critical parameters such as fill weight, seal integrity, and pallet stability, feeding real‑time information to a central analytics engine. This end‑to‑end visibility allows operators to detect bottlenecks early, adjust parameters on the fly, and ensure consistent product quality. He notes that the combination of modularity and holistic data integration creates a resilient infrastructure capable of absorbing disruptions, whether they stem from supply chain variability, labor shortages, or rapid market shifts. For OEMs, adopting this approach translates into shorter lead times, higher asset utilization, and a stronger ability to offer differentiated, service‑based solutions.
Michael Lampe, innovation manager at Meurer Verpackungssysteme GmbH, explores how OEMs are adapting to sustainability requirements, particularly the shift toward new materials, while striving to maintain efficiency, flexibility, and lifecycle performance. He notes that regulatory pressures and consumer preferences are driving the adoption of bio‑based plastics, recyclable laminates, and lightweight alternatives that reduce the carbon footprint of packaging. Lampe explains that integrating these materials often necessitates adjustments to machine parameters such as temperature profiles, tension control, and sealing times, which can affect throughput if not managed carefully. To address this, he advocates for the use of adaptive control algorithms that automatically optimize settings based on real‑time material feedback, ensuring consistent seal quality and minimizing waste. Additionally, Lampe highlights the role of energy‑efficient servo drives and regenerative braking systems in lowering power consumption during operation. He points out that sustainability initiatives can also unlock new revenue streams, such as offering carbon‑neutral packaging lines or providing lifecycle assessments that help customers meet their own environmental targets. By treating material innovation as a design driver rather than a constraint, OEMs can differentiate their offerings, future‑proof their machines against tightening regulations, and contribute to a circular economy.
Bino Bastian, head of sales at ECONO‑PAK, delves into how digital twins are evolving beyond virtual commissioning into comprehensive lifecycle assets that support engineering efficiency, collaboration, and post‑startup optimization, while also addressing cybersecurity, compliance, and traceability requirements. He explains that a digital twin begins as a virtual replica used to validate machine behavior before physical assembly, but its value expands significantly when it remains synchronized with the actual equipment throughout its operational life. By continuously feeding sensor data into the twin, OEMs can simulate the impact of proposed changes, predict wear patterns, and test upgrade scenarios without risking production downtime. Bastian emphasizes that this capability accelerates engineering cycles, reduces the need for physical prototypes, and fosters cross‑functional collaboration between design, service, and customer teams. From a security standpoint, he notes that securing the twin’s data links is essential to prevent unauthorized access or manipulation of critical operational insights. Compliance benefits arise from the twin’s ability to generate auditable records of machine configurations, maintenance actions, and performance metrics, simplifying regulatory reporting. Traceability is enhanced because the twin can track the lineage of components, software versions, and material batches, providing a transparent view of the machine’s history. Bastian advises OEMs to treat the digital twin as a living asset that accumulates value over time, delivering returns far beyond the initial commissioning phase.
Piers Lamb, sales director for the UK and Ireland at Universal Pack, highlights how data‑ready machine design is enabling traceability, compliance, and service‑led business models, while also improving commissioning speed and long‑term operational performance. He explains that embedding standardized data ports, open communication protocols, and built‑in diagnostics into the machine’s core architecture creates a foundation for seamless integration with manufacturing execution systems (MES), enterprise resource planning (ERP), and cloud analytics platforms. This data readiness allows OEMs to offer customers real‑time visibility into key performance indicators such as overall equipment effectiveness (OEE), mean time between failures (MTBF), and energy consumption per unit. Lamb points out that traceability extends beyond product tracking to include the provenance of critical components, firmware versions, and maintenance histories, which is increasingly vital for industries subject to stringent regulatory scrutiny. On the service side, he notes that data‑rich machines enable remote diagnostics, predictive maintenance alerts, and usage‑based billing arrangements, shifting the traditional capital‑intensive sale toward an outcomes‑oriented partnership. He also observes that commissioning timelines shrink when engineers can leverage pre‑configured software templates and automated calibration routines, reducing reliance on manual tuning. Ultimately, Lamb argues that designing machines with data as a first‑class citizen not only satisfies current customer expectations but also positions OEMs to capitalize on emerging opportunities in smart factories and industrial IoT ecosystems.
Piyush Bhandari, area sales head at Clearpack Group, shares how OEMs are transitioning from standalone machines to intelligent, connected systems that can respond to changing consumer demands while preserving secure and resilient operations. He observes that today’s buyers expect equipment that can self‑optimize, communicate with upstream and downstream processes, and provide actionable insights without constant manual intervention. Bhandari describes a shift toward edge‑computing capabilities embedded directly in the machine controller, allowing real‑time processing of sensor data for functions such as adaptive fill control, dynamic sealing pressure adjustment, and autonomous fault detection. By keeping critical analytics at the edge, OEMs can reduce latency, minimize dependence on constant cloud connectivity, and enhance cybersecurity by limiting the attack surface. He also discusses the importance of robust authentication mechanisms, encrypted firmware updates, and role‑based access controls to protect the integrity of connected equipment. Bhandari notes that the convergence of intelligence and connectivity opens doors to new service offerings, such as performance guarantees based on actual uptime, remote optimization campaigns, and firmware‑as‑a‑service models. For OEMs aiming to stay relevant, he recommends investing in scalable software architectures, standardized data schemas, and comprehensive lifecycle management platforms that can grow alongside the machine’s evolving feature set.
Davide Furini, area sales manager at CT Pack, discusses how digital tools, connectivity, and data are enabling more resilient machine performance, helping OEMs meet evolving lifecycle requirements and operational demands. He explains that the integration of IoT sensors, edge analytics platforms, and cloud‑based dashboards creates a continuous feedback loop that informs both day‑to‑day operations and long‑term strategic decisions. Furini highlights that real‑time monitoring of variables such as motor temperature, vibration levels, and pressure fluctuations allows maintenance teams to adopt condition‑based strategies, intervening only when early warning signs appear, thereby reducing unnecessary servicing and extending component life. He also points out that connectivity facilitates the rapid deployment of software patches and feature updates, ensuring that machines remain aligned with the latest performance enhancements and security patches without requiring costly on‑site visits. From a resilience perspective, Furini notes that data‑driven insights enable OEMs to simulate various operating scenarios—such as sudden demand spikes, supply chain interruptions, or energy price fluctuations—to evaluate contingency plans and optimize resource allocation. He argues that by treating data as a strategic asset rather than a byproduct, manufacturers can unlock higher asset utilization, improve energy efficiency, and deliver more predictable performance metrics to customers. Furini advises OEMs to invest in interoperable data standards, robust cybersecurity frameworks, and workforce upskilling programs to fully harness the potential of connected machinery throughout its lifespan.
The collective insights from the ROKStudios season reveal a clear trajectory: OEMs are moving away from treating machines as discrete projects and embracing lifecycle‑driven strategies that weave together design foresight, data integrity, and ongoing service innovation. This shift is fueled by rising customer expectations for flexibility, transparency, and sustainability, as well as by technological enablers such as robotics, modular architectures, digital twins, and edge‑connected analytics. For manufacturers and automation professionals, the practical takeaway is to evaluate every design decision through the lens of its long‑term impact on uptime, serviceability, and total cost of ownership. Investing early in cybersecurity measures, open data interfaces, and adaptive control algorithms pays dividends by reducing retrofit costs, enhancing resilience, and opening pathways to service‑based revenue models. Embracing modularity not only simplifies changeovers but also creates a platform for incremental upgrades that keep equipment relevant amid evolving market demands. Leveraging digital twins and continuous data feedback transforms the machine into a learning asset that can predict wear, optimize performance, and support compliance reporting. Finally, aligning sustainability initiatives with core engineering goals—such as selecting eco‑friendly materials and implementing energy‑efficient drives—helps meet regulatory pressures while differentiating offerings in a crowded marketplace. By adopting these principles, OEMs can build machines that deliver enduring value, foster stronger customer partnerships, and position themselves at the forefront of the next wave of industrial innovation.