3 research outputs found

    Analisis Perbaikan Sistem Kerja Untuk Meningkatkan Produktivitas Pekerja Menggunakan Metode Macroergonomic Analysis And Design (MEAD)

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    The productivity of a job is influenced by many things, one of which is the work system. To get optimal productivity, it is necessary to design a good work system. Thus workers can do work more actively and achieve pre-set targets. PT. Berkah Bumi Independent is a company engaged in manufacturing plywood. Many workers in rotary stations complained about the turnaround time they had to chase and were exhausted. This research was conducted based on physical environmental factors, equipment factors, worker condition factors and organizational factors, with the purpose of this study is to propose improvements to the work system using the Macroergonomics analysis and design (MEAD) method in order to increase worker productivity. Based on analysis and data processing, the measurement of the worker's pulse was obtained CVL = 38.66%, get an additional 11 minutes of rest time was obtained, for a total of 71 minutes. Increase in yield by 10% in the manufacture of veneer products

    A human-oriented design process for collaborative robotics

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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 human-oriented 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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