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Human–robot collaboration (HRC) provides the opportunity to enhance the physical abilities of severely and multiply disabled people thus allowing them to work in industrial workplaces on the primary labour market. In order to assist this target group optimally, the collaborative robot has to support them based on their individual capabilities. Therefore, the knowledge about the amount of required assistance is a central aspect for the design and programming of HRC workplaces. The paper introduces a new method that bases the task allocation on the individual capabilities of a person. The method obtains human capabilities on the one hand and the process requirements on the other. In the following step, these two profiles are compared and the workload of the human is acquired. This determines the amount of support or assistance, which should be provided by a robot capable of HRC. In the end, the profile comparison of an anonymized participant and the concept of the human–robot workplace is presented.

It has become a necessity to reduce costs and improve efficiency in the production process for enterprises in today's dynamic competitive environment. In this context, pre-determining and improving the production time has great importance. Method Time Measurement (MTM) is a measurement method, which examines a manual work in the context of basic body motions and determines a standard time for these motions. In this study, it is aimed to improve production times for a company which operates in white goods sub-industry with MTM method. Besides, it is aimed to obtain a more efficient production line by handing little improvement oppurtinities via this method as a result of examining the smallest motions sensitively. At the end of study, the production times which are obtained before improvement and after improvement are compared and the increase in daily production amount is revealed. [ABSTRACT FROM AUTHOR]

Human–robot collaboration (HRC) provides the opportunity to enhance the physical abilities of severely and multiply disabled people thus allowing them to work in industrial workplaces on the primary labour market. In order to assist this target group optimally, the collaborative robot has to support them based on their individual capabilities. Therefore, the knowledge about the amount of required assistance is a central aspect for the design and programming of HRC workplaces. The paper introduces a new method that bases the task allocation on the individual capabilities of a person. The method obtains human capabilities on the one hand and the process requirements on the other. In the following step, these two profiles are compared and the workload of the human is acquired. This determines the amount of support or assistance, which should be provided by a robot capable of HRC. In the end, the profile comparison of an anonymized participant and the concept of the human–robot workplace is presented. [ABSTRACT FROM AUTHOR]