Industry 4.0 enabling technologies for increasing operational flexibility in final assembly

Salunkhe, Omkar; Berglund, Åsa Fast

doi:10.24867/ijiem-2022-1-299

Cited by 23 publications

(13 citation statements)

References 47 publications

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“…Several definitions for softbots are influenced by the application domain they were applied to [27]. As an attempt to provide a generalized view of softbots from the system requirements point of view, some selected works have been analysed [14,27,40,[59][60][61][62][63][64][65][66][67][68][69], and the following properties for a "near-complete" softbot could be identified: • (Some level of) Security to protect itself from external malicious attacks and from being accessed by non-authorized actors. • (Some level of) Self-management to evaluate itself against its goals and performance metrics; supervise the execution of its actions; monitor the computing environment it is running in and its execution status; and be resilient to take proper measures to remain alive.…”

Section: Softbots Propertiesmentioning

confidence: 99%

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Rabelo¹,

Zambiasi²,

Romero³

2023

Int J Ind Eng Manag

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This paper presents the results of a research work that aimed at investigating the usage of softbots -as digital intelligent software assistants -as a supporting technology to help in excelling smart production management composed of cyber-physical systems (CPS). This work also attempts to differentiate the many equivalent terms used in the literature to softbots, trying to demonstrate that all of them are just types of softbots. Softbots 4.0 acts as a smart humanmachine interface, representing a digital virtual assistant to handle human-related issues when implementing the concept of Operator 4.0. Yet, the concept of Softbot 4.0 is framed against the RAMI 4.0 model in a way to show how it can also be taken as an (intelligent) manufacturing entity. The main goal of Softbots 4.0 is to support the Operator 4.0 in interfacing with smart machines, robots, and systems, aiding people in the automatic, planned or pro-active execution of different, repetitive or complex tasks, efficiently in a more symbiotic human-machine environment. Five different cases have been selected for the assessment, implemented as software prototypes in different production management and shop floor control scenarios close to real CPS. The high potential of the softbots approach could be observed, especially when combined with other enabling technologies for Industry 4.0. A global assessment and reflections on these experiments are discussed at the end.

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Section: Softbots Propertiesmentioning

confidence: 99%

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Rabelo¹,

Zambiasi²,

Romero³

2023

Int J Ind Eng Manag

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“…Cobots are industrial robots designed to work alongside a human operator; the ISO/TS 15066:2016 technical specification emphasises external safety features required when using a collaborative robot [9]. Collaborative Robot Applications (CRAs) thus encompass additional safety features necessary for a safer collaboration with a human operator [10]. In major surveys conducted by Vicentini [4], Liu et al [11], and Matheson [2], the development and use of collaborative robots over the last few decades, are highlighted.…”

Section: Collaborative Robots (Cobots)mentioning

confidence: 99%

“…In major surveys conducted by Vicentini [4], Liu et al [11], and Matheson [2], the development and use of collaborative robots over the last few decades, are highlighted. One of the significant factors behind this development is the need for higher flexibility in adapting to fast-changing manufacturing environments [10]. The International Federation of Robotics (IFR) figures show, on average, 6% growth in the application of cobots [12].…”

Section: Collaborative Robots (Cobots)mentioning

confidence: 99%

Bridging the Hype Cycle of Collaborative Robot Applications

Salunkhe,

Romero,

Stahre

et al. 2023

IFIP Advances in Information and Communication Technology

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This paper investigates manufacturing companies' current and planned usage of collaborative robots along with possible reasons for the observed slow growth in implementing Collaborative Robot Applications (CRAs) in the industry. The paper also discusses whether similarities can be seen in the Gartner Hype Cycle for technology adoption. Findings from an industrial survey suggest increasingly positive attitudes towards using CRAs in manufacturing and final assembly operations as tools and support mechanisms aiding human operators. Better methodologies and best practices are urgently needed for successful CRA implementation and efficient manufacturing human-robot collaboration design.

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“…The authors found that product-related services, like repairs, maintenance, and training, were the most important nodes from a service perspective, and that from the standpoint of digital technologies, cyber security, Big Data analytics, the Internet of Things, cloud computing and digital twins are the most significant nodes. Through the use of the new technologies commonly included in Industry 4.0, the authors of [7] claim that operational flexibility can be increased. The most common definition of operational flexibility is that it is the ability of a system to respond to changing conditions [8], and is often described as a mixture of various forms of flexibility and as having different types of sources.…”

Section: Literature Review: Relevant Landscape-resource Efficiency Ma...mentioning

confidence: 99%

EREMI: An Innovative Interdisciplinary Approach for Higher Education in Resource Efficient Manufacturing Environments

Sikora,

Titova-Kosturkova,

Janevska

et al. 2023

Sustainability

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This paper presents an overview of EREMI, a two-year project funded under ERASMUS+ KA203, and its results. The project team’s main objective was to develop and validate an advanced interdisciplinary higher education curriculum, which includes lifelong learning components. The curriculum focuses on enhancing resource efficiency in the manufacturing industry and optimising poorly or non-digitised industrial physical infrastructure systems. The paper also discusses the results of the project, highlighting the successful achievement of its goals. EREMI effectively supports the transition to Industry 5.0 by preparing a common European pool of future experts. Through comprehensive research and collaboration, the project team has designed a curriculum that equips students with the necessary skills and knowledge to thrive in the evolving manufacturing landscape. Furthermore, the paper explores the significance of EREMI’s contributions to the field, emphasising the importance of resource efficiency and system optimisation in industrial settings. By addressing the challenges posed by under-digitised infrastructure, the project aims to drive sustainable and innovative practices in manufacturing. All five project partner organisations have been actively engaged in offering relevant educational content and framework for decentralised sustainable economic development in regional and national contexts through capacity building at a local level. A crucial element of the added value is the new channel for obtaining feedback from students. The survey results, which are outlined in the paper, offer valuable insights gathered from students, contributing to the continuous improvement of the project.

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Industry 4.0 enabling technologies for increasing operational flexibility in final assembly

Cited by 23 publications

References 47 publications

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Softbots 4.0: Supporting Cyber-Physical Social Systems in Smart Production Management

Bridging the Hype Cycle of Collaborative Robot Applications

EREMI: An Innovative Interdisciplinary Approach for Higher Education in Resource Efficient Manufacturing Environments

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