This work is aimed on exploiting the performance in a human-CNC machine interface (HCMI) environment. Here load cell based developed system is capable of measuring cognitive and motor action responses simultaneously. Performance measurement system designed may be replicated for other fields where systems are operated through control panels and also where responses of mentally retarded human-beings (or human beings with symptoms of Alzheimer disease) are to be observed and evaluated. Following main conclusions are drawn: (1) Optimum multi-performance characteristics for middle age operators are A1B3C3 (i.e. CNC machine panel height of 90 cm, panel angle of 90 degrees and working distance of 30 cm), (2) Percentage contributions of working distance, CNC machine panel angle and panel height are 55.93, 8.13 and 5.93, respectively and (3) An improvement of 41.12% in the multi-performance characteristics was achieved. This work has achieved a reasonable degree of validity through performing confirmation test. Practitioner Summary: The findings of this work are directly applicable to the practical field to improve the design of a CNC-machines system. This work suggests that those responsible for the functioning and operation of CNC machine workstations would have to redesign the system to reduce musculoskeletal injuries and other related problems of middle age male operators. Results presented in this paper can be quite useful for future system designers. It is emphasized that applying ergonomic principles to the design of CNC machines and interfaces can not only help to enhance machine performance and productivity, but can also enable the human operator to feel comfortable and secure. As most companies have acquired Automated Manufacturing Technology in recent years to be competitive, ergonomic and safety considerations are of the utmost importance in the design phase.
展开▼
