Integrating human factors in the model based development of cyber-physical production systems

Gräßler, Iris; Wiechel, Dominik; Roesmann, Daniel

doi:10.1016/j.procir.2021.05.113

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…Cognitive systems engineering is based on various forms of modelling, such as cognitive task modelling, which is often a quite laborious process. As Grässler et al point out [13], human actors are often greatly simplified in model-based design. Human performance modelling may then be hampered as it does not properly take into account the variability in personal characteristics, skills, and preferences.…”

Section: Discussionmentioning

confidence: 99%

“…Stern and Becker [5] propose design principles for these kinds of human-machine systems focusing on usability, feedback, and assistance systems. Grässler et al [13] discuss integrating human factors in the model-based development of cyberphysical production systems. They claim that human actors are often greatly simplified in the model-based design, thus disregarding individual personality and skill profiles.…”

Section: Related Researchmentioning

confidence: 99%

“…They propose a human system integration (HSI) discipline as a promising approach that aims to design the interaction between humans and technology in such a way that the needs and abilities of humans are appropriately implemented in the system design. In their approach, HSI concepts allow for the integration of individual capabilities of the workers as a fundamental part of a cyber-physical production system to enable the successful development of production systems [13].…”

Section: Related Researchmentioning

confidence: 99%

See 2 more Smart Citations

Smooth and Resilient Human–Machine Teamwork as an Industry 5.0 Design Challenge

Kaasinen

Anttila²,

Heikkilä

et al. 2022

Sustainability

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Smart machine companions such as artificial intelligence (AI) assistants and collaborative robots are rapidly populating the factory floor. Future factory floor workers will work in teams that include both human co-workers and smart machine actors. The visions of Industry 5.0 describe sustainable, resilient, and human-centered future factories that will require smart and resilient capabilities both from next-generation manufacturing systems and human operators. What kinds of approaches can help design these kinds of resilient human–machine teams and collaborations within them? In this paper, we analyze this design challenge, and we propose basing the design on the joint cognitive systems approach. The established joint cognitive systems approach can be complemented with approaches that support human centricity in the early phases of design, as well as in the development of continuously co-evolving human–machine teams. We propose approaches to observing and analyzing the collaboration in human–machine teams, developing the concept of operations with relevant stakeholders, and including ethical aspects in the design and development. We base our work on the joint cognitive systems approach and propose complementary approaches and methods, namely: actor–network theory, the concept of operations and ethically aware design. We identify their possibilities and challenges in designing and developing smooth human–machine teams for Industry 5.0 manufacturing systems.

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Section: Discussionmentioning

confidence: 99%

Section: Related Researchmentioning

confidence: 99%

Section: Related Researchmentioning

confidence: 99%

See 1 more Smart Citation

Smooth and Resilient Human–Machine Teamwork as an Industry 5.0 Design Challenge

Kaasinen

Anttila²,

Heikkilä

et al. 2022

Sustainability

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A Method for Human Systems Integration Requirements within Model Based Systems Engineering

Corl,

Gallegos

2024

INCOSE International Symp

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The Department of Defense (DoD) employs broad human factors requirements across various applications, resulting in a universal application of the same standards to a multitude of DoD acquisition systems. In unconventional warfare, specifically within missions conducted by US Special Operations Command (USSOCOM), operators face intensified workloads and domain‐specific challenges that current human factors considerations do not adequately address. The objective of this paper aims to introduce a novel framework, the Relational and Technological Capstone (RTC), designed to expand existing Human Systems Integration (HSI) requirements. The objective is to enhance the consideration of human factors in USSOCOM missions by addressing the unique challenges posed by intensified workloads and domain‐specific ontologies. The RTC employs a methodology‐driven approach utilizing both architectural and parametric diagrams. It integrates with Model Based Systems Engineering (MBSE) to improve the design of human‐system interactions, incorporating a Special Operations Task List and Performance Shaping Factors (PSFs) into aggregated parametrics. The results of this paper demonstrate the efficacy of RTC within MBSE, showcasing its value through improved design processes and as a foundation for new programs. The containment tree format aids in developing USSOCOM MBSE and opens possibilities for automation tools. Continual use of RTC contributes to the maturity of MBSE models and diagrams, fostering the evolution of a federation‐of‐models and Program of Record standards. This not only benefits subsequent SOCOM programs and projects but also facilitates cross‐cooperation with other nations in optimizing special operation acquisitions. The ultimate goal is to center the RTC around the operator, ensuring compatibility and optimization across cooperative nations' special operation acquisitions.

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Using visual requirements modeling to design human‐centric manufacturing systems for novel products – A comprehensive predictive case study

Hane Hagström,

Bergsjö

2024

Systems Engineering

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Efficient production systems are necessary for the realization of products that fulfil customer needs and delivery requirements. However, the process of designing the production system has received little academic attention and today's manufacturing system design processes and architecture are still based on traditional engineering methods. This study covers a case study using visual requirements modeling for the design of a production system for a new product. A comprehensive prescriptive study was designed combined with attempts to verify the methods used. A total of six workshops, development of models to define requirements to select concepts, and two validation studies are documented. A total of 166 persons participated, and up to 15 persons participated in the validation workshops. The analysis shows that the method addressed several of the gaps identified in literature: (1) the lack of systematic and effective systems engineering design methods in production system design, and (2) the lack of inclusion of human aspects in the production system design. The gaps in the effectiveness of the methods remain to be fully evaluated, as the project is still running and will not be concluded until 2025. Recommendations for future work include exploring further the management mechanisms of systems engineering, which type of competences does the future engineer need and how production system design engineers can learn more from other disciplines.

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Integrating human factors in the model based development of cyber-physical production systems

Cited by 9 publications

References 23 publications

Smooth and Resilient Human–Machine Teamwork as an Industry 5.0 Design Challenge

Smooth and Resilient Human–Machine Teamwork as an Industry 5.0 Design Challenge

A Method for Human Systems Integration Requirements within Model Based Systems Engineering

Using visual requirements modeling to design human‐centric manufacturing systems for novel products – A comprehensive predictive case study

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