Industry 5.0, which focuses on human-centric automation and utilizes advanced production technologies such as Reconfigurable Manufacturing Systems (RMS), requires manufacturers to prioritize workers’ well-being alongside efficiency. Addressing safety management in this evolving manufacturing paradigm is essential. However, ensuring safety in reconfigurable manufacturing often requires external outsourcing and increased man-hours. This leads to increased production costs and reduced flexibility due to the additional time required for safety assurance. Ideally, manufacturers seek safety management methods that leverage in-house expertise, reducing both production costs and time without compromising safety. Thus, a novel approach to safety management is necessary. This paper introduces a method for software-assisted safety management in RMS that leverages in-house competencies and streamlines safety validation after reconfiguration which enhances Industry 5.0’s adaptability. To empirically assess the proposed method, a conceptual software tool was developed and deployed to a reconfigurable Plug & Produce system for house wall fabrication within a laboratory setting. A usability test was performed to collect the man-hour needed for safety validation after reconfiguration using in-house competency. Analysis of the results revealed potential savings of 40% for one-off production and 35% for batches up to 5. While based on lab findings, they suggest cost reduction in real manufacturing. This empirical evidence underscores significant cost reduction potential in reconfigurable manufacturing, highlighting its role in promoting flexibility, economical sustainability, and human-centricity within Industry 5.0 © 2024 IEEE.

Plug & Produce is a modern automation concept in smart manufacturing for modular, quick, and easy reconfigurable production. The system’s flexibility allows for the configuration of production with abstraction, meaning that the production resources participating in a specific production plan are only known in the online phase. The safety assurance process of such a system is complex and challenging. This work aims to assist the safety assurance when utilizing a highly flexible Plug & Produce concept that accepts instant logical and physical reconfiguration. In this work, we propose a concept for online hazard identification of Plug & Produce systems, the proposed concept, allows for the detection of hazards in the online phase and assists the safety assurance as it provides the hazard list of all possible executable alternatives of the abstract goals automatically. Further, it combines the safety-related information with the control logic allowing for safe planning of operations. The concept was validated with a manufacturing scenario that demonstrates the effectiveness of the proposed concept.

The Plug & Produce manufacturing system is a visionary concept that promises to facilitate the seamless integration and adaptation of manufacturing resources and production processes. The Plug & Produce control system allows for the automatic addition and removal of manufacturing resources, minimizing human intervention. However, the reconfigurability and autonomous decision-making features of Plug & Produce control systems pose challenges to safety design and control functions.

In contrast to conventional manufacturing systems with fixed layouts and processes, ensuring safety in Plug & Produce systems is complicated due to the complex risk assessment process, the difficulty of implementing non-restrictive safety measures covering all possible hazards, and the challenge of designing a reliable controller for consistent safe operation.

This thesis addresses these challenges through various contributions. It introduces an automatic hazard identification method, considering emergent hazards after reconfiguration. A novel domain ontology is developed, incorporating safety models specific to Plug & Produce systems. The work also proposes a generic, model-based, and automatic risk assessment method, along with a method for the safe execution of plans based on the results of the risk assessment.

The results of this research offer benefits to process planners, who are responsible for coordinating the manufacturing processes with product design in the Plug & Produce system. The proposed solution provides tools for process planners to validate their plans and reduces their safety-related responsibilities. The proposed safety assurance method seamlessly integrates into the multi-agent control of Plug & Produce, providing the control system with risk scenarios associated with process plans. This enables proactive and reliable control, effectively avoiding potential risks during system operation.

Föreställ dig en automatiserad produktionsanläggning som omedelbart och automatiskt kan anpassa sig till förändringar utan att kompromissa med säkerheten för den personal som arbetar där. Denna avhandling strävar efter att uppnå just detta genom ett smartare sätt att säkerställa att produktionsanläggningar baserat på Plug & Produce kan hantera säkerhet. Dettainnebär att konceptet Plug & Produce nu närmar sig ett industriellt förverkligande. Säkerhet för automatiserade produktionsanläggningar innebär att alla maskiner ska vara utrustade med skydd för att göra arbetet säkrare. Idag är det vanligt med övervakning som skydd, dvs en dator som övervakar att allt går rätt till och stänger av om något är på väg att hända. I ett produktionsavsnitt som är baserat på Plug & Produce kan man enkelt ställa om, det vill säga, lägga till eller ta bort maskiner, ändra layouten eller ändra på produkter som produceras. Efter en sådan omställning så måste säkerheten i produktionsanläggningen ses över enligt föreskrivna lagar och regler. Traditionellt så kräver detta anlitande av en säkerhetsexpert. Detta medför att en omställning utifrån ett säkerhetsperspektiv är både kostsamt och tidskrävande. Med resultatet från denna avhandling så går det nu att ställa om utan att behöva implementera nya säkerhetsfunktioner efter varje förändring. Denna forskning har utvidgat kunskapsområdet inom produktionsteknik för att skapa en "smartarefabrik" genom att inkludera säkerhetsfunktioner.Resultatet inkluderar algoritmer som kan upptäcka potentiella faror i fabriken och automatiskt tillämpa säkerhetsåtgärder för ett övervakat system. Detta innebär mindre tidsåtgång och lägre kostnader för säkerhetsarbetet. De som drar mest nytta av detta är människorna som planerar för hur saker skall tillverkas med hjälp av Plug & Produce. Resultatet av detta arbete underlättar deras arbetsuppgifter och bevarar flexibiliteten i Plug & Produce, vilket eliminerar behovet av att välja mellan flexibilitet och säkerhet

This article presents a systematic literature review on the Plug and Produce concept in advanced automated manufacturing control systems. Over recent decades, this concept has evolved significantly, with researchers focusing on enhancing its applicability and improving its conceptual, logical, and physical aspects across various sub-areas such as system design, methodologies, and supporting tools within the Industry 4.0 and Industry 5.0 frameworks. The review offers technical insights on the research domain of Plug and Produce accompanied by an analytical schematic outlining five key evolving research streams ranging from system design framework, and functionality features, up to the empirical application. Additionally, the article discusses important issues surrounding the evolution of Plug and Produce in alignment with emerging trends within Industry 5.0 automation. By analyzing the literature and current trends in industrial automation, the article highlights critical key development directions for shaping the future of manufacturing systems focusing on smart, circular, and human-centric solutions using Plug and Produce. © 

This paper presents a model-based safety software that performs Hazard Identification (HI) for Plug&Produce (P&P) systems automatically. P&P systems, inspired by Plug&Play in computers, aim to integrate devices and tools into the manufacturing system with minimum integration efforts and costs. When plugging a new resource, it will exchange all the required information with the manufacturing system and be ready to operate within minutes rather than days or weeks. One of the challenges that face this concept is performing proper risk assessment after each change in the system. Therefore, the risk assessment needs to be automated as much as possible. This paper is about automating one risk assessment step: Hazard Identification. A new safety model is designed to identify hazards. The presented software analyses this model by implementing a novel algorithm that uses lookup tables to cover various possible hazards when resources work together. This software will support the risk reduction team by drastically reducing the time needed for HI and being ready for the next steps in risk analyses. Automating identifying hazards is an essential step towards automating the entire risk assessment process and achieving safe P&P systems.

Plug&Produce systems accept reconfiguration and have the attribute of physical and logical flexibility. To implement the Plug&Produce system in a manufacturing plant, there is a need to assure that the system is safe. The process of risk assessment provides information that is used to implement the proper safety measures to ensure human and machine safety. An important step in the risk assessment process is hazard identification. Hazard identification of Plug&Produce system is unique as the hazard identification method provided in the safety standards do not consider system flexibility. In this paper, a framework for hazard identification of a collaborative Plug&Produce system is presented. A study case that includes a collaborative Plug&Produce system is presented and the framework is applied to identify the system’s hazards. Also, the generalisation of the framework application is discussed. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.