An approach of service modeling for the demand-driven implementation of Human-Robot-Interaction in manufacturing

Delang, Kathleen; Todtermuschke, Marcel; Bdiwi, Mohamad; Pütz, Matthias

doi:10.1109/coase.2018.8560379

Cited by 7 publications

(3 citation statements)

References 20 publications

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“…To support companies in the implementation of a real symbiotic collaboration between human and robot, methods to easily identify potential workplaces for HRC should be developed (Blankemeyer et al 2018). Especially SMEs, which do not have special experts, need to be guided in finding collaborative solutions fitting their specific requirements (Delang et al 2018). However, attempts to address the problem of identifying HRC-suited workplaces are limited to multi-layer approaches for the business process modelling (Vitolo et al 2020) or the calculation of capability indicators (Schröter et al 2016).…”

Section: Challenges For Hrc Industrial Applicationsmentioning

confidence: 99%

A human-oriented design process for collaborative robotics

Papetti

Ciccarelli

Scoccia

et al. 2022

International Journal of Computer Integrated Manufacturing

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The potential of collaborative robotics often does not materialize in an efficient design of the human-robot collaboration. Technology-oriented approaches are no longer enough in the Industry 4.0 era. This work proposes a set of methods to support manufacturing engineers in the humanoriented design process of integrated production systems to obtain satisfactory performance in the mass customization paradigm, without impacting the safety and health of workers. It founds the design criteria definition on five main pillars (safety, ergonomics, effectiveness, flexibility, and costs), favors the consideration of different design alternatives, and leads their selection. The dynamic impact of the design choices on the various elements of the system prevails over the static design constraints. The method has been experimented in collaboration with the major kitchen manufacturer in Italy, which introduced a collaborative robotics cell in the drawers' assembly line. It resulted in a more balanced production line (10% more), a verified risk minimization (RULA score reduced from 5 to 3 and OCRA score from 13.30 to 5.70), and a greater allocation of operators to high added value activities.

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Section: Challenges For Hrc Industrial Applicationsmentioning

confidence: 99%

A human-oriented design process for collaborative robotics

Papetti

Ciccarelli

Scoccia

et al. 2022

International Journal of Computer Integrated Manufacturing

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“…Thereby, the interaction can mainly improve productivity and ergonomics since robots can perform highly repetitive and monotonous tasks -especially with high payloads [12]. Moreover, HRI can help save expensive manufacturing space and reduce downtimes due to quicker repair times [13].…”

Section: Introductionmentioning

confidence: 99%

Enhanced service modelling for flexible demand‐driven implementation of human–robot interaction in manufacturing

Delang

Todtermuschke

Schmidt

et al. 2019

IET Collaborative Intelligent Manufacturing

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Even by providing benefits addressing the main megatrend in today's manufacturing industries human–robot interaction (HRI) still lacks reasonably applied use cases, especially in small and medium‐sized enterprises (SMEs). Most SMEs worry about complicated standards they have to consider when letting their employees work with a robot. Furthermore, they simply do not know where to start due to multiple promised benefits not precisely matching their requirements. Since they have individual starting points regarding their needs, available process data and documentation, it is expensive to obtain a customised evaluation of provided benefits. Thereby, the main challenge is to offer a consistent approach dealing with multiple requirements. The multi‐layer concept of service modelling provides a possibility to resolve this contradiction. It aims for an overall goal by achieving predefined subgoals with individually matching methods. Thus, each manufacturing company can choose the most suitable methodology to analyse its production line. Regarding HRI it is possible to select workstations with the best fitting solution according to individual requirements. The selection will be quantified based on analyses about provided values of HRI in manufacturing. This study presents the service modelling approach for the evaluation of workstations that are best suited for the implementation of HRI in SME.

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“…These evaluation criteria of implemented HRI systems help to assess the potential of existing work places in advance. It is necessary to describe and demonstrate validated benefits of HRI according to individual motivation of a company [2].…”

Section: Introductionmentioning

confidence: 99%

Demand-driven implementation of Human-Robot-Interaction in manufacturing with service modelling

Delang¹,

Todtermuschke²,

Bdiwi³

et al. 2018

Proceedings of the Austrian Robotics Workshop 2018

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By combining advantages of humans and robots in the manufacturing process Human-Robot-Interaction (HRI) can solve many problems of todays production industry. Nevertheless, it still lacks industrial applications of this promising solution. The reasons are various and can be seen in uncertainties according to safety and a natural lower technical maturity of new systems. Another reason is the absence of a quantitative analysis of the benefits HRI can provide for the users. An assessment of existing work places as well as a selection and evaluation of potential improvements HRI may provide helps to justify investments. Therefore, a decision-making tool for investments in HRI will enlarge the number of use cases. This paper presents an approach to help producing companies comparing possibilities of HRI by evaluating existing process data.

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An approach of service modeling for the demand-driven implementation of Human-Robot-Interaction in manufacturing

Cited by 7 publications

References 20 publications

A human-oriented design process for collaborative robotics

A human-oriented design process for collaborative robotics

Enhanced service modelling for flexible demand‐driven implementation of human–robot interaction in manufacturing

Demand-driven implementation of Human-Robot-Interaction in manufacturing with service modelling

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