Abstract
Machining operations on computer numerically controlled (CNC) machine tools are essential for the machining industry. Most of these operations take place in machining workshops. Safety issues in machining workshops shops can affect not only the health of the operators, which is extremely important, but also the productivity of the process and the accuracy of the parts. The research presented in this article addresses the issue of evaluating the safety of a CNC machining workshop, using a combined approach based on the analytic hierarchy process (AHP) and technique for order performance by similarity to ideal solution (TOPSIS) methods. A set of four evaluation criteria was proposed and the methods of processing the information for each criterion were used to extract the significant data needed for the evaluation. The proposed method was used to select the safest CNC machining workshop out of a total of three considered for assessment.
Highlights
The manufacturing industry is one of the basic branches of industry
Multi-sensor data fusion [6] is one of the methods that could improve the performance of computer numerically controlled (CNC) machine monitoring systems
This work proposed a method for selecting the safest machining workshop out of three existing alternatives
Summary
The manufacturing industry is one of the basic branches of industry. At present, both manufacturing operations, subtractive and additive, coexist and share the general field of manufacture. The work presented in [9] reported the use of AR to visualize the CAM instructions, which permits the machine tool worker to view, in an advanced manner, the safety zones in which the machining movements take place and provides the user with advanced menus and instructions Another very important issue linked with safety when CNC machining equipment are studied is the training of the machine operators. Most modern CNC machine tool manufacturers provide these systems as optional when purchasing a new machine, and many customers do not acquire them because of their high prices If these systems are not standard, their presence is regarded as an assessment criterion for safety. Questionnaires are not recommended for this purpose; on-site observation and data gathering and processing are recommended instead
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