A New Reliability Allocation Method for Machine Tools Using the Intuitionistic Trapezoidal Fuzzy Numbers and TOPSIS

2021 ◽  
Author(s):  
Qiang Cheng ◽  
Chang Wang ◽  
Dongyang Sun ◽  
Hongyan Chu ◽  
Wenfen Chang
Keyword(s):  
Machine Tools ◽  
Fuzzy Numbers ◽  
Cnc Machine ◽  
Analytic Hierarchy ◽  
Reliability Allocation ◽  
Trapezoidal Fuzzy Numbers ◽  
Sorting Technique ◽  
Ideal Solutions ◽  
Multi Attribute Decision Making ◽  
And Performance

Abstract The reliability allocation of machine tools which is a multi-attribute decision making problem has great significance in designment of machine tools. This paper integrates the intuitionistic trapezoidal fuzzy numbers and performance sorting technique based on similar ideal solutions to achieve the flexible allocation of machine tools reliability. Firstly, intuitionistic trapezoidal fuzzy numbers are employed to integrate decisions made by multiple decision makers and fuzzy information of their preferences. Then, intuitionistic trapezoid fuzzy numbers’ expectations are treated as the weights of criteria. Finally, performance sorting technique based on similar ideal solutions is used to obtain the reliability allocation weight of every subsystem. To investigate the efficacy and simplicity of the provided approach, reliability distribution in a CNC machine tool is introduced as an example to explain its specific contents. It can be concluded that the provided method is more precise and convenient by comparing the results of this approach with those obtained by analytic hierarchy process method.

Reliability Analysis of CNC Machine Tools Based on Fuzzy Theory

2015 ◽  
Vol 713-715 ◽  
pp. 7-10 ◽  
Author(s):  
Li Tao
Keyword(s):  
Machine Tools ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Cnc Machine Tools ◽  
Uncertain Information ◽  
Cnc Machine ◽  
Allocation Model ◽  
Reliability Allocation ◽  
Allocation Method

There are many factors influencing the reliability allocation of CNC machine tools and some are difficult to analyze quantitatively, a comprehensive reliability allocation method is proposed using interval analysis, fuzzy comprehensive evaluation and analytic hierarchy process. Many influence factors were considered and endowed with different weight respectively according to the influence degree. In this paper, a reliability allocation model is proposed for CNC machine tools, which used interval number instead of real number to express uncertain information. It could make use of the field test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the results showed that the allocation method is feasible and effective for the reliability allocation of CNC machine tools.

scholarly journals Evaluating Safety Systems for Machine Tools with Computer Numerical Control using Analytic Hierarchy Process

Safety ◽  
2019 ◽  
Vol 5 (1) ◽  
pp. 14 ◽  
Author(s):  
Sever-Gabriel Racz ◽  
Radu-Eugen Breaz ◽  
Lucian-Ionel Cioca
Keyword(s):  
Analytic Hierarchy Process ◽  
Machine Tools ◽  
Computer Numerical Control ◽  
Numerical Control ◽  
Machining Process ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Analytic Hierarchy ◽  
Safety Systems ◽  
Hierarchy Process

Computer numerical control (CNC) machine tools are complex production systems with fully automatic machine parts. Nowadays, high feed rates and machining speeds are used during the machining process. Human operators are still needed to set-up the machine, load/unload workpieces and parts, load the machining code, and supervise the machining process. The operators work in an environment where automated high-speed motions occur, and consequently, CNC machine tools have to be equipped with safety systems. The approach presented in this paper was to evaluate the main safety systems of CNC machine tools based upon the analytic hierarchy process (AHP). The analyzed systems were divided into six main categories and compared pairwise using five criteria proposed by the authors. The approach and the obtained results significantly relied upon the situation found at the industrial company used as a benchmark for the research. The analysis reveals that, among considered safety devices, manually operated controls are the most efficient ones. Finally, a sensitivity analysis was conducted to test the stability of the AHP solution.

scholarly journals Selecting the Safest CNC Machining Workshop Using AHP and TOPSIS Approaches

Safety ◽  
2021 ◽  
Vol 7 (2) ◽  
pp. 27
Author(s):  
Lucian-Ionel Cioca ◽  
Radu-Eugen Breaz ◽  
Sever-Gabriel Racz
Keyword(s):  
Machine Tools ◽  
Evaluation Criteria ◽  
Cnc Machining ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Analytic Hierarchy ◽  
Safety Issues ◽  
Computer Numerically Controlled ◽  
Machining Operations ◽  
Hierarchy Process

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.

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