Title: Digital equipment maintenance decision model and its application research for low carbon environment

Authors: Renwang Li; Xinli Wu; Qing Luo; Jinyu Song; Xinxia Liu; Ping Cai

Addresses: Zhejiang Sci-Tech University, Xiasha Higher Education Park, No. 2 street, Hangzhou, China ' Zhejiang Sci-Tech University, Xiasha Higher Education Park, No. 2 street, Hangzhou, China ' Zhejiang Sci-Tech University, Xiasha Higher Education Park, No. 2 street, Hangzhou, China ' Zhejiang Sci-Tech University, Xiasha Higher Education Park, No. 2 street, Hangzhou, China ' Zhejiang Sci-Tech University, Xiasha Higher Education Park, No. 2 street, Hangzhou, China ' Zhejiang Sci-Tech University, Xiasha Higher Education Park, No. 2 street, Hangzhou, China

Abstract: In order to improve the resources and energy efficiency of digital device during the repair process, this paper take selected phase of S layer maintenance mode as device important degree analysis, considering the impact of environment during the repair process, use the modified fuzzy comprehensive evaluation method to describe the various elements of criticality for comprehensive evaluation, establish the digital equipment maintenance decision model for low-carbon environment; combine the qualitative and quantitative analysis to determine the level of membership evaluation factors, use the quasi excellent consistent matrix and variable weight comprehensive to improve the conventional weights, then, select the appropriate comprehensive evaluation model for solving the criticality, use the logic method to determine maintenance mode based on the degree of importance. Finally, verify the correctness and practicability of the model through an example.

Keywords: digital equipment; low carbon environment; maintenance decision.

DOI: 10.1504/IJCSM.2017.085728

International Journal of Computing Science and Mathematics, 2017 Vol.8 No.3, pp.268 - 278

Received: 06 Aug 2016
Accepted: 06 Dec 2016
Published online: 10 Aug 2017 *

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