A Method to Distinguish Potential Workplaces for Human-Robot Collaboration

Downloadstatistik des Dokuments (Auswertung nach COUNTER):

Blankemeyer, Sebastian; Recker, Tobias; Stuke, Tobias; Brokmann, Jens; Geese, Markus et al.: A Method to Distinguish Potential Workplaces for Human-Robot Collaboration. In: Procedia CIRP 76 (2018), S. 171-176. DOI: https://doi.org/10.1016/j.procir.2018.02.008

Version im Repositorium

Zum Zitieren der Version im Repositorium verwenden Sie bitte diesen DOI: https://doi.org/10.15488/5161

Zeitraum, für den die Download-Zahlen angezeigt werden:

Jahr: 
Monat: 

Summe der Downloads: 193




Kleine Vorschau
Zusammenfassung: 
The high dynamics of globalized markets and their increase in competition, as well as the demographic changes in western countries causing an increasing shortage of skilled personnel are resulting in major challenges for production companies today. These challenges relate in particular to the processes of assembly forming the last process step in the value chain due to its high share of manual labor. Collaborative assembly, which is characterized by immediate interaction of humans and robots, utilizes the strengths of both partners and is seen as an opportunity to achieve a higher level of flexibility in assembly just as well to support and relieve people of for instance non-ergonomic tasks through automation at work. Although almost every robot manufacturer already has collaborative systems in its product portfolio, these are not yet widely used in industrial production. This might have a variety of reasons, such as the fear of a risky investment or the lack of expertise within the company related to collaborative systems. This article shows a conceptual method that helps companies implementing human-robot-collaboration in their production more quickly and with less implied risk, thus addressing the forthcoming challenges. As a first step, companies must be qualified to make a suitable selection for a possible collaboration scenario. To achieve this, they need a tool to analyze and to evaluate their production processes according to their suitability for human-robot-collaboration. An important feature for an easy and effective use is that the process is formalized so that employees of companies can quickly and easily analyze different processes. The necessary criteria and procedures are developed accordingly and are integrated into the selection method. The main goal is to give the company a recommendation which of their processes are most suitable for human-robot-collaboration, so that they can be used effectively in their production.
Lizenzbestimmungen: CC BY-NC-ND 4.0 Unported
Publikationstyp: Article
Publikationsstatus: publishedVersion
Erstveröffentlichung: 2018
Die Publikation erscheint in Sammlung(en):Fakultät für Maschinenbau

Verteilung der Downloads über den gewählten Zeitraum:

Herkunft der Downloads nach Ländern:

Pos. Land Downloads
Anzahl Proz.
1 image of flag of Germany Germany 79 40,93%
2 image of flag of United States United States 23 11,92%
3 image of flag of Russian Federation Russian Federation 19 9,84%
4 image of flag of Czech Republic Czech Republic 13 6,74%
5 image of flag of China China 12 6,22%
6 image of flag of Canada Canada 10 5,18%
7 image of flag of France France 9 4,66%
8 image of flag of Sweden Sweden 5 2,59%
9 image of flag of India India 5 2,59%
10 image of flag of Austria Austria 4 2,07%
    andere 14 7,25%

Weitere Download-Zahlen und Ranglisten:


Hinweis

Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.