Abstract
Intelligent manufacturing is one of the indispensable parts in Industry 4.0, where the smart machines can perceive and operate automatically in production process to provide higher and more convenient efficiency. Nevertheless, some potential failures influencing the manufacturing may exist. It is necessary to identify the potential failures and evaluate their risk. Meanwhile, resources and environment protections have been the consensus around the world. For enterprises, they must take measures to reduce the negative environmental impacts during the industrial production to maintain their sustainable development. Failure mode and effects analysis (FMEA) can effectively recognize failures and evaluate their risk in a production process or a system. However, environmental aspects of the identified failure modes are often ignored in the FMEA. Besides, conventional FMEA usually uses the risk priority number to obtain the failures' risk, which has a lot of shortcomings in the industrial application, such as the equal weights for different risk factors, crisp numbers used in the evaluation without considering vagueness, and so on. Based on the above two main problems, this paper develops an extended FMEA which introduces environmental impacts as one of the risk factors and utilizes Technique for order preference by similarity to an ideal solution (TOPSIS) method based on rough sets to cope with vague information. Finally, the developed FMEA is applied to evaluate the potential failure risk of an optical cable automatic arranging robot to verify its feasibility and effectiveness.
Highlights
Intelligent manufacturing is an integrated system including intelligent machines and humans
The main features of this study are listed as follows: (1) subjective and imprecise judgments are handled with the help of rough set theory, which makes the results more objective and flexible; (2) different weights are assigned to risk factors, which consider their relative importance; (3) environmental impact (E) is included in the extended Failure mode and effects analysis (FMEA) to investigate the failures’ environmental risk
In this paper, a rough TOPSIS is introduced to improve the traditional FMEA, where the environmental factor is taken into account in the model
Summary
Intelligent manufacturing is an integrated system including intelligent machines and humans. The Chinese government has proposed a series of sustainable development strategies to protect the environment, such as incorporating funds needed for pollution prevention into fixed asset investment plans, tax incentives for those enterprises using waste as raw materials for production [39] In this context, enterprises should take environmental measures to protect the environment and save resources. The main features of this study are listed as follows: (1) subjective and imprecise judgments are handled with the help of rough set theory, which makes the results more objective and flexible; (2) different weights are assigned to risk factors, which consider their relative importance; (3) environmental impact (E) is included in the extended FMEA to investigate the failures’ environmental risk.
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