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The quality interaction function deployment for lean human-robot interaction

  • In standardized sectors such as the automotive, the cost-benefit ratio of automation solutions is high as they contribute to increase capacity, decrease costs and improve product quality. In less standardized application fields, the contribution of automation to improvements in capacity, cost and quality blurs. The automation of complex and unstructured tasks requires sophisticated, expensive and low-performing systems, whose impact on product quality is oftentimes not directly perceived by customers. As a result, the full automation of process chains in the general manufacturing or the logistic sectors is often a sub optimal solution. Taking the distance from the false idea that a process should be either fully automated, or fully manual, this paper presents a novel heuristic method for design of lean human-robot interaction, the Quality Interaction Function Deployment, with the objective of the “right level of automation”. Functions are divided among human and automated agents and several automation scenarios are created and evaluated with respect to their compliance to the requirements of all process´ stakeholders. As a result, synergies among operators (manual tasks) and machines (automated tasks) are improved, thus reducing time-losses and increasing productivity.

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Metadaten
Name:Bonini, Marco; Urru, Augusto; Echelmeyer, Wolfgang
DOI:https://doi.org/10.1109/MMAR.2019.8864667
ISBN:978-1-72810-933-6
Erschienen in:2019 24th International Conference on Methods and Models in Automation and Robotics (MMAR)
Publisher:IEEE
Place of publication:Piscataway, NJ
Document Type:Conference Proceeding
Language:English
Year of Publication:2019
Tag:HRI; QFD; lean automation; process design
Pagenumber:7
First Page:145
Last Page:151
Dewey Decimal Classification:620 Ingenieurwissenschaften und Maschinenbau
Open Access:Nein
Licence (German):License Logo  Lizenzbedingungen IEEE